Building Field Companion AI System Architecture
rswfire describes creating a new dense transmission format primarily for AI processing rather than human viewers. He explains completing his website's about page with contact form functionality, requiring multiple technical steps including email service setup, DNS configuration, and API integration.
**AI Processing System**: A local Llama 3 model is processing transcripts from his 701 videos, extracting ontological data including titles, summaries, symbolic elements, energetic signatures, alignment vectors, and specialized tags. The system tracks two perspectives - an ontological layer and a surface narrative layer for different audiences.
**Location Context**: Currently stationed at an ATV campground in Oregon Dunes, one-eighth mile from ocean, experiencing background noise from recreational vehicles. Previously was at Cape Blanco and Brookings, Oregon.
**Technical Architecture**: The field companion system uses signals as base units, with clustering capabilities for pattern recognition across time spans. Individual video entries will display transcripts, reflections, and tracked variables. The system addresses AI recursion challenges and fragmentation issues in long conversations.
rswfire notes AI's ability to track his circular thought patterns and maintain coherence, validating his cognitive structure against others' bandwidth limitations.
Jul 15, 2025
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Oregon Dunes > Driftwood II
43.88200, -124.14623
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26% match