Building AI-Powered Journal Reflection System
rswfire describes the experience of maintaining a public journal (video transmissions) for a year and a half, facing misunderstanding and distortion from audiences who seemed to misread the content. He explains how he protected the work behind "protective glass" but continued transmitting, discovering the issue wasn't with his writing but with reception.
He introduces his current AI project: a recursive reflection system that processes his video transmissions like journal entries. The system uses AI to reflect on individual entries, then groups of entries over time periods, creating layered reflections that reveal patterns and insights. This "memory core" approach allows tracking of any documented element over time.
The project is published on his website (rswfire.com) in the transmission section, using local AI models. He describes different description styles for old versus new entries, with newer ones being more cryptic. He's developing this into a service for others to use - a journal system that "talks back" to the user through AI reflection.