MeetFuture
A reflective product where users answer deep questions, generate one future-self timeline, and chat with that simulated future self.
Most personal AI products either stop at one prompt or depend on storing sensitive history. The public product instead centers a guided session without persistence.
MeetFuture uses a questionnaire, generation endpoint, and chat endpoint to produce one possible future-self narrative and continue the conversation inside a stateless workspace.
Jigyasu Patel's public repo exposes the questionnaire flow, prompt system, validation, and OpenAI-backed generation and chat routes.
The live site, repo README, package.json, and public app route tree all document the stateless future-self flow.
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