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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. Stack: N=1 Protocol Tracking\nThe \"Stack\" feature serves as the app’s primary engagement loop, allowing users to track 12-week personal trials (like continuous glucose monitoring or cold plunges).\nHonest Readouts: When a user completes a trial, the readout intentionally avoids claiming causation. The UI displays baseline vs. final biomarker deltas alongside copy stating: \"Your number went down. 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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. Stack: N=1 Protocol Tracking\nThe \"Stack\" feature serves as the app’s primary engagement loop, allowing users to track 12-week personal trials (like continuous glucose monitoring or cold plunges).\nHonest Readouts: When a user completes a trial, the readout intentionally avoids claiming causation. The UI displays baseline vs. final biomarker deltas alongside copy stating: \"Your number went down. 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Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. Stack: N=1 Protocol Tracking\nThe \"Stack\" feature serves as the app’s primary engagement loop, allowing users to track 12-week personal trials (like continuous glucose monitoring or cold plunges).\nHonest Readouts: When a user completes a trial, the readout intentionally avoids claiming causation. The UI displays baseline vs. final biomarker deltas alongside copy stating: \"Your number went down. Whether the [protocol] caused it is a different question,\" while surfacing potential confounders.\nProactive Safety: I designed \"Contradiction alerts\"—soft, non-alarmist push notifications that proactively warn a user if newly published evidence pushes back against a protocol they are currently 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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. Stack: N=1 Protocol Tracking\nThe \"Stack\" feature serves as the app’s primary engagement loop, allowing users to track 12-week personal trials (like continuous glucose monitoring or cold plunges).\nHonest Readouts: When a user completes a trial, the readout intentionally avoids claiming causation. The UI displays baseline vs. final biomarker deltas alongside copy stating: \"Your number went down. 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. 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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. Stack: N=1 Protocol Tracking\nThe \"Stack\" feature serves as the app’s primary engagement loop, allowing users to track 12-week personal trials (like continuous glucose monitoring or cold plunges).\nHonest Readouts: When a user completes a trial, the readout intentionally avoids claiming causation. The UI displays baseline vs. final biomarker deltas alongside copy stating: \"Your number went down. Whether the [protocol] caused it is a different question,\" while surfacing potential confounders.\nProactive Safety: I designed \"Contradiction alerts\"—soft, non-alarmist push notifications that proactively warn a user if newly published evidence pushes back against a protocol they are currently 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. Stack: N=1 Protocol Tracking\nThe \"Stack\" feature serves as the app’s primary engagement loop, allowing users to track 12-week personal trials (like continuous glucose monitoring or cold plunges).\nHonest Readouts: When a user completes a trial, the readout intentionally avoids claiming causation. The UI displays baseline vs. final biomarker deltas alongside copy stating: \"Your number went down. 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. Stack: N=1 Protocol Tracking\nThe \"Stack\" feature serves as the app’s primary engagement loop, allowing users to track 12-week personal trials (like continuous glucose monitoring or cold plunges).\nHonest Readouts: When a user completes a trial, the readout intentionally avoids claiming causation. The UI displays baseline vs. final biomarker deltas alongside copy stating: \"Your number went down. 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. Stack: N=1 Protocol Tracking\nThe \"Stack\" feature serves as the app’s primary engagement loop, allowing users to track 12-week personal trials (like continuous glucose monitoring or cold plunges).\nHonest Readouts: When a user completes a trial, the readout intentionally avoids claiming causation. The UI displays baseline vs. final biomarker deltas alongside copy stating: \"Your number went down. Whether the [protocol] caused it is a different question,\" while surfacing potential confounders.\nProactive Safety: I designed \"Contradiction alerts\"—soft, non-alarmist push notifications that proactively warn a user if newly published evidence pushes back against a protocol they are currently 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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. Stack: N=1 Protocol Tracking\nThe \"Stack\" feature serves as the app’s primary engagement loop, allowing users to track 12-week personal trials (like continuous glucose monitoring or cold plunges).\nHonest Readouts: When a user completes a trial, the readout intentionally avoids claiming causation. The UI displays baseline vs. final biomarker deltas alongside copy stating: \"Your number went down. Whether the [protocol] caused it is a different question,\" while surfacing potential confounders.\nProactive Safety: I designed \"Contradiction alerts\"—soft, non-alarmist push notifications that proactively warn a user if newly published evidence pushes back against a protocol they are currently 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. 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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. Stack: N=1 Protocol Tracking\nThe \"Stack\" feature serves as the app’s primary engagement loop, allowing users to track 12-week personal trials (like continuous glucose monitoring or cold plunges).\nHonest Readouts: When a user completes a trial, the readout intentionally avoids claiming causation. The UI displays baseline vs. final biomarker deltas alongside copy stating: \"Your number went down. Whether the [protocol] caused it is a different question,\" while surfacing potential confounders.\nProactive Safety: I designed \"Contradiction alerts\"—soft, non-alarmist push notifications that proactively warn a user if newly published evidence pushes back against a protocol they are currently 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. Stack: N=1 Protocol Tracking\nThe \"Stack\" feature serves as the app’s primary engagement loop, allowing users to track 12-week personal trials (like continuous glucose monitoring or cold plunges).\nHonest Readouts: When a user completes a trial, the readout intentionally avoids claiming causation. The UI displays baseline vs. final biomarker deltas alongside copy stating: \"Your number went down. 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. Stack: N=1 Protocol Tracking\nThe \"Stack\" feature serves as the app’s primary engagement loop, allowing users to track 12-week personal trials (like continuous glucose monitoring or cold plunges).\nHonest Readouts: When a user completes a trial, the readout intentionally avoids claiming causation. The UI displays baseline vs. final biomarker deltas alongside copy stating: \"Your number went down. 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Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. 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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. Stack: N=1 Protocol Tracking\nThe \"Stack\" feature serves as the app’s primary engagement loop, allowing users to track 12-week personal trials (like continuous glucose monitoring or cold plunges).\nHonest Readouts: When a user completes a trial, the readout intentionally avoids claiming causation. The UI displays baseline vs. final biomarker deltas alongside copy stating: \"Your number went down. Whether the [protocol] caused it is a different question,\" while surfacing potential confounders.\nProactive Safety: I designed \"Contradiction alerts\"—soft, non-alarmist push notifications that proactively warn a user if newly published evidence pushes back against a protocol they are currently 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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. Stack: N=1 Protocol Tracking\nThe \"Stack\" feature serves as the app’s primary engagement loop, allowing users to track 12-week personal trials (like continuous glucose monitoring or cold plunges).\nHonest Readouts: When a user completes a trial, the readout intentionally avoids claiming causation. The UI displays baseline vs. final biomarker deltas alongside copy stating: \"Your number went down. Whether the [protocol] caused it is a different question,\" while surfacing potential confounders.\nProactive Safety: I designed \"Contradiction alerts\"—soft, non-alarmist push notifications that proactively warn a user if newly published evidence pushes back against a protocol they are currently 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. Stack: N=1 Protocol Tracking\nThe \"Stack\" feature serves as the app’s primary engagement loop, allowing users to track 12-week personal trials (like continuous glucose monitoring or cold plunges).\nHonest Readouts: When a user completes a trial, the readout intentionally avoids claiming causation. The UI displays baseline vs. final biomarker deltas alongside copy stating: \"Your number went down. 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. Stack: N=1 Protocol Tracking\nThe \"Stack\" feature serves as the app’s primary engagement loop, allowing users to track 12-week personal trials (like continuous glucose monitoring or cold plunges).\nHonest Readouts: When a user completes a trial, the readout intentionally avoids claiming causation. The UI displays baseline vs. final biomarker deltas alongside copy stating: \"Your number went down. Whether the [protocol] caused it is a different question,\" while surfacing potential confounders.\nProactive Safety: I designed \"Contradiction alerts\"—soft, non-alarmist push notifications that proactively warn a user if newly published evidence pushes back against a protocol they are currently 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. Stack: N=1 Protocol Tracking\nThe \"Stack\" feature serves as the app’s primary engagement loop, allowing users to track 12-week personal trials (like continuous glucose monitoring or cold plunges).\nHonest Readouts: When a user completes a trial, the readout intentionally avoids claiming causation. The UI displays baseline vs. final biomarker deltas alongside copy stating: \"Your number went down. 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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. Stack: N=1 Protocol Tracking\nThe \"Stack\" feature serves as the app’s primary engagement loop, allowing users to track 12-week personal trials (like continuous glucose monitoring or cold plunges).\nHonest Readouts: When a user completes a trial, the readout intentionally avoids claiming causation. The UI displays baseline vs. final biomarker deltas alongside copy stating: \"Your number went down. 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

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Reducing \"Time to First Trend\" (Onboarding & Ingestion)\nThe biggest barrier to entry with health data is data entry friction. Maya needs to feel the value of the product immediately, or she will abandon it.\nThe Design: I designed a multi-format ingestion flow allowing users to upload digital PDFs, scan paper reports via mobile camera OCR, or use a manual-entry fallback.\nThe Metric: The UX was optimized to ensure a median time of ≤5 minutes from signup to viewing a usable longitudinal chart, with a target of 70% of new users successfully ingesting a report on day one.\n2. Contextual Data Visualization (The Longitudinal Chart)\nUsers don't just want to know if they are \"normal\"; they want to know if they are \"optimal\" based on longevity literature.\nThe Design: I designed the longitudinal chart to render each marker over time, overlaid with both the standard lab \"normal\" band and a tailored age/sex \"optimal\" band.\nTrust Mechanics: To build trust, the UI includes trend lines, individual data points, and surfaces the specific lab vendor and assay per data point, as different assays aren't always comparable.\n3. Transparent Risk Classification\nWhen users see an abnormal result, panic is the default response. The UX needed to manage this emotional state.\nThe Design: I implemented a three-tier risk classification system (Low, Medium, High) that adjusts based on the user's age and sex.\nGuardrails: Crucially, high-risk findings never present a diagnosis. 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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Consumers today receive their blood test results as static PDFs scattered across disconnected patient portals, displaying markers only against generic \"normal\" ranges. InsightBlood is a personal blood work intelligence app designed to solve this. It allows users to bring every blood test they have ever taken into one place, track how each marker trends against age- and sex-adjusted optimal ranges, and receive evidence-backed next steps. My role was to translate this highly clinical, data-dense premise into an empowering, consumer-friendly experience that replaces health anxiety with agency.

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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. Stack: N=1 Protocol Tracking\nThe \"Stack\" feature serves as the app’s primary engagement loop, allowing users to track 12-week personal trials (like continuous glucose monitoring or cold plunges).\nHonest Readouts: When a user completes a trial, the readout intentionally avoids claiming causation. The UI displays baseline vs. final biomarker deltas alongside copy stating: \"Your number went down. Whether the [protocol] caused it is a different question,\" while surfacing potential confounders.\nProactive Safety: I designed \"Contradiction alerts\"—soft, non-alarmist push notifications that proactively warn a user if newly published evidence pushes back against a protocol they are currently 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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

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In the rapidly expanding wellness and longevity space, consumers are overwhelmed by bold claims from influencers and podcasts. Receipts is a mobile research agent designed to help longevity-curious adults cut through the noise. The platform enables users to ask health questions, fact-check claims against primary literature, and safely track their own n=1 personal trials.\nMy challenge was to design an experience that translated dense academic literature into plain-English takeaways (targeting a Flesch-Kincaid readability score of ≤ 9), without dumbing down the science or straying into medical advice.

Core Design Principles & Trust Mechanics\nTrust is the central currency of the app. Because the product operates in the health space, every interaction was designed to reinforce objectivity.\nRadical Transparency: The AI never relies on parametric guesses; answers are strictly grounded in retrieved sources from an exposed allowlist (e.g., PubMed, Cochrane).\nNo Hidden Agendas: The onboarding flow clearly states the business model, the app is an educational tool that will never accept supplement revenue.\nShow the Contradictions: The design deliberately highlights conflicting studies (e.g., \"Where the literature disagrees\") so users do not have to discover dissent in a comment thread.\n\nKey User Journeys\n\n1. Verify: The Acquisition Wedge\nThe \"Verify\" flow is the fastest path from skepticism to evidence. Users can paste a quote, screenshot, or URL from an influencer to fact-check it.\nThe Experience: The app transparently parses the claim and renders a verdict—Supported, Mixed, or Contradicted—in under 20 seconds.\nContextualizing Evidence: To help non-clinicians evaluate the data, I designed drill-down receipt cards that outline the study type, sample size, and funding sources (highlighting industry-funded vs. independent). A \"Why this matters\" section explicitly explains the rationale behind the verdict.\n2. Ask: The Core Research Loop\nWhen users ask open-ended questions (e.g., \"What's the evidence for taurine on healthspan?\"), the app must present complex literature without overwhelming them.\nExposing the AI Engine: To avoid the \"black box\" problem, I designed an active loading screen that reveals the \"Atlas-pattern reasoning loop\" (Decompose → Retrieve → Evaluate → Refine → Synthesize) as it works.\nGraded Summaries: Answers are presented with a letter grade (e.g., \"C - Suggestive\" or \"D - Animal\") alongside plain-English takeaways. Users can fully control their reading depth, choosing between a brief \"Gist\", a \"Full\" review, or a \"Max\" setting with sentence-level citations.\n3. Stack: N=1 Protocol Tracking\nThe \"Stack\" feature serves as the app’s primary engagement loop, allowing users to track 12-week personal trials (like continuous glucose monitoring or cold plunges).\nHonest Readouts: When a user completes a trial, the readout intentionally avoids claiming causation. The UI displays baseline vs. final biomarker deltas alongside copy stating: \"Your number went down. 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

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Consumers today receive their blood test results as static PDFs scattered across disconnected patient portals, displaying markers only against generic \"normal\" ranges. InsightBlood is a personal blood work intelligence app designed to solve this. It allows users to bring every blood test they have ever taken into one place, track how each marker trends against age- and sex-adjusted optimal ranges, and receive evidence-backed next steps.\nMy role was to translate this highly clinical, data-dense premise into an empowering, consumer-friendly experience that replaces health anxiety with agency.

The Problem\nExisting patient portals and EHRs are built for clinicians, not curious individuals. Users currently have no easy way to consolidate results across different labs, see their trajectories relative to longevity-focused \"optimal\" ranges, or connect those markers to lifestyle interventions. 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Existing personal finance management (PFM) tools overwhelmingly focus on retrospective budgeting or pure wealth aggregation. The product design for a new, goals-driven fintech platform that reframes money management around the user's life milestones rather than their account balances. By combining Open Banking data, transparent AI guidance, and compassionate design, the aim is to replace financial anxiety with agency.

The Problem\nMost adults have access to capable financial tools, yet financial anxiety remains at record highs. Through our research and market analysis, we identified a structural mismatch between how finance is presented (accounts, transactions, percentages) and how humans actually think about money (the life they want to build).\nUsers lacked a coherent narrative across their 3–7 average financial accounts. Furthermore, traditional budgeting tools rely on deficit framing (\"you overspent\"), which correlates with shame-driven avoidance. Users needed forward-looking, compassionate guidance to translate everyday spending into long-term goal impact.\n\nStrategic Design Principles\nTo differentiate from rigid budgeting apps and complex trading platforms, I established core design principles to drive all UX decisions:\nGoals are the spine: Every screen renders financial state through the lens of user-defined goals, rather than making balances the headline.\nShow the math: Every AI nudge, projection, and recommendation surfaces its reasoning in plain language via a \"why?\" affordance.\nCompassion over shame: No deficit framing, no leaderboards, and no streaks that punish breakage.\nRespect attention: Notifications are quiet by default, grouped intelligently, and must earn the right to interrupt the 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