Building AI Reflection Service from YouTube Archive
rswfire reflects on a year and a half of YouTube documentation, describing how he moved into an RV and began recording his life transformation. He explains his process of using AI to analyze video transcripts, developing a framework for recursive reflection that helped him grow stronger and more confident. **Technical Development**: He built a homepage importing all YouTube videos, used ChatGPT via OpenAI API to create reflections, then solved local model limitations through different recursion approaches. **System Architecture**: He outlines a multi-level reflection system - individual transmissions, clusters (groups over days/weeks), shapes (monthly arcs), and trajectories (longer-term patterns). The system can group signals temporally or by other criteria like emotional tone. **Current Status**: Located an eighth of a mile from the ocean in Oregon, he's developing this into a commercial service for YouTube creators. Despite financial struggles and potential RV loss, he sees this work as alignment between his life path and sustainable income. The service would build websites for creators featuring their entire catalog with cross-linked themes and customizable reflection models.