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Organization app

Goals

Personal project

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Calendar view of the Goals app on a laptop.

Goals is a habit tracker that links everyday actions to big life goals, with an AI assistant that spots patterns in your progress. In most apps, goals are just a to-do list: you tick boxes, but quickly forget why.

Brief and goal

Link daily actions to big life goals, instead of a simple to-do list where you quickly forget why you tick the boxes.

Role and responsibilities

Personal project: UX/UI design, full-stack development and AI integration.

Credits

Personal project. The UX/UI design, the full-stack development and the AI integration are my work.

Use of AI

I used Google Antigravity to program and debug the app, the Gemini API to analyze daily check-ins in the app, and Claude Code to add this sheet to the portfolio. My personal contribution includes the UX/UI design, the data structure, the system prompt and the full-stack development.

Production steps

  1. UX/UI: a hierarchy of goals

    Instead of a list, the interface has you link each small habit to a parent goal. I chose a clean, distraction-free dark mode that makes the hierarchy stand out.

    Goals tree of the Goals app: main goals such as « Join the running club » and « Write a book », linked to their sub-goals.

  2. Development: flexible daily check-ins

    The app offers an evening reflection based on personalized questions. Over time, you get rich, structured data, without it feeling like a chore.

    Evening check-in of the Goals app, step 2 of 7 « Today’s stats »: wake-up and bed times, hours of sleep, happiness and productivity levels, and exercise.

  3. AI system: contextual analysis

    The check-in history is sent securely to a large language model, with a specialized prompt. It looks for correlations, for example « the days you sleep 8 hours are correlated with your coding habit », and turns them into insights you can actually use.

    The « AI Insight Chat » panel of the Goals app: a personal data analyst suggests questions about sleep, productivity and happiness.

  4. Structured data for the AI

    For the analysis to give concrete insights rather than vague advice, check-ins combine free text with binary and numerical entries; the system prompt then enforces the « Observation → Correlation → Action » format.

    Calendar of the Goals app: a 67% goal completion rate, successful or missed days, and bedtimes and exercise overlaid on the days.

  5. Deployment

    The front end is built with Vite and the app runs in production on Google Cloud Run; authentication and the database are handled by Firebase.

    Goals app open on its calendar view, on a laptop on a wooden desk.

Technologies

Challenges

At first, the AI gave vague, horoscope-like advice, because the check-in data was not structured enough.

Solutions

I restructured the database to require binary and numerical entries on top of text, and refined the system prompt to enforce a strict « Observation → Correlation → Action » format.

Final result

A web app online: hierarchical goals, daily check-ins and trend analysis through the Gemini API, built with React and Firebase.