Eudaimonia - Capture, and grow

Eudaimonia turns saved photos, ideas, and moments into actionable insights—revealing patterns in what you care about and paths toward who you want to become.

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Inspiration

I often photograph exhibitions, save articles, and screenshot quotes because I believe they could teach me something or help me grow. But honestly, I rarely return to most of them.

They become an overwhelming archive of things that once caught my attention but never became part of my life. This made me wonder: What if the things we already save could help us understand what we care about—and who we want to become?

What it does

Eudaimonia turns photos, articles, notes, and everyday observations into actionable Digest Cards.

The experience follows:

Notice → Understand → Choose → Collect → Grow

Users can read more, save what resonates, or skip what doesn’t. Saved cards enter themed Pockets, represented by pixel flowers that develop as the collection grows. Recurring choices can reveal patterns, possible growth identities, and paths to cultivate next.

How we built it

I built Eudaimonia as a native iOS prototype using SwiftUI and OpenAI.

It includes photo selection, live image analysis, structured Digest Card generation, image guardrails, card interactions, Pocket progression, identity paths, My Garden, and local persistence.

The museum scenario and accelerated progression are curated for the demonstration, while the core analysis and product interactions are functional.

Challenges we ran into

The biggest challenge was making the experience feel like personal reflection rather than generic image recognition. Describing what appears in a photo is relatively easy. Helping someone understand why it might matter—and what they could do next—is much harder.

I also had to design progression without making personal growth feel like points, streaks, or a game.

Accomplishments that we're proud of

I am proud that Eudaimonia became a working native prototype rather than only a concept.

The app can transform real images into structured insights, reject unsuitable inputs, remember user choices, reveal patterns, and connect those patterns to an evolving visual Garden.

What we learned

I learned that people do not need another place to store more information. They need help making sense of what they have already chosen to notice.

I also learned that AI should not define the user. It should reflect possibilities while leaving people in control of what they save, skip, and cultivate.

What's next for Eudaimonia - Capture, and grow

Next, I want to test Eudaimonia with more sources beyond museum photos, including articles, book pages, notes, and everyday observations.

I also want to explore longer-term patterns, more meaningful growth paths, and whether the experience can genuinely help people turn inspiration into action over time.

Eudaimonia helps us grow from what has already moved us.

Built With

  • api
  • chatgpt5.6
  • codex
  • figma
  • swift
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