28 JAN 2026
David decided: Planned entry ingestion without LLM calls, partitioned across 8 agents
David directed the granular entry ingestion pipeline to run without an LLM API — pure transcript parsing — and to partition the six months of transcripts across 8 parallel agents.
When the agent proposed wiping existing entries before the re-ingestion:
well no dont wipe the current entries as theyre real but insufficient. proceed with the ingestion of the last 6 months of each transcript in each binary.
When the agent described using an LLM for the parsing step:
and the ingestion doesnt need an llm api. you can spawn 8 agents and partition the load
The design principle was that extracting structured entry data from transcripts was a deterministic parsing task, not a judgment call that needed model reasoning — and that paying API costs per transcript row would be unnecessary. The 8-agent partition was chosen for parallel throughput rather than any quality reason.