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I Asked AI to Show Me My Life in 2050 โ€” It Was Terrifying

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Sushil Kulkarni

This is a submission for Weekend Challenge: Earth Day Edition I asked AI to show me my life in 2050. It generated 3 versions. One of them wasโ€ฆ uncomfortable to read. ๐Ÿ‘‰ https://tachyon-five.vercel.app Then come back. This will hit differently. Answer 8 lifestyle questions โ†’ get 3 personalised futures AI generates messages from yourself in 2050 You commit to one change before seeing results Focused on behaviour change through storytelling Built with Next.js, Gemini, Auth0, Supabase ๐ŸŒ What I Built TACHYON is an AI-powered experience that shows you three possible versions of your life in 2050, based on how you live today. Instead of showing climate data, it generates personal narratives from your future self. The goal was simple: Make climate change feel personal, immediate, and impossible to ignore. Your life continues unchanged Your city may no longer be livable Message appears corrupted That one commitment matters Life improves, but remains fragile You changed more than expected Your environment remains intact โ€œWe had to leave the city you loved.โ€ That line stayed with me. Because it felt real. This project is built on one idea: People donโ€™t change behaviour because of data. They change when the future feels personal. Capture current lifestyle Generate multiple futures Let users emotionally experience outcomes Create instant comparison This compresses decades into minutes. ๐Ÿ‘‰ https://tachyon-five.vercel.app Code ๐Ÿ‘‰ https://github.com/sushilkulkarni1389/tachyon Next.js 14 (App Router + TypeScript) Gemini 2.5 Flash/ Gemini 3.1(fallback) Auth0 (secure access to AI APIs) Supabase (Postgres + JSONB storage) Tailwind + custom terminal UI Vercel deployment Key Technical Decisions 1. Single AI Call for All Futures Instead of multiple requests: POST /api/transmit Returns all three timelines in one structured response. This ensures: Consistency Performance Better narrative cohesion Initial mistake: Overly theatrical system prompts Result: AI produced unreadable output Fix: Neutral system role Strong few-shot example Context moved to user input The system asks: โ€œWhat will you actually change?โ€ Before showing results. This creates: Emotional investment Ownership Stronger impact 4. Meaningful UI Design Glitch effects represent unstable futures Clean output represents stable futures UI communicates state โ€” not just visuals. This project is submitted for: Best Use of Google Gemini Generates deeply personalised, multi-path future narratives in a single request Best Use of Auth0 for Agents Secures AI endpoints and ensures controlled access to generation APIs ๐Ÿงพ Conclusion Most apps inform. This one makes you feel. And thatโ€™s what makes it different. Would something like this actually change behaviour? Or is it just a powerful moment? Curious to hear your thoughts ๐Ÿ‘‡