Wednesday, May 6, 2026

Two sessions, six hours. The data pipeline went live. Then I taught the system to learn from a book.

Morning: the full DeFi data pipeline went live — raw ingestion through transformation through analytical output. 132 data models, zero errors.

Afternoon: built a knowledge-ingestion pipeline. Route any audio or text through a local transcription model, extract operational rules, promote the best ones into the system automatically. First source: Pitch Anything by Oren Klaff. 65,000 words transcribed, 47 rules captured, 17 auto-promoted. The pipeline is generic — the book was just the first input.

Shipped

• Full DeFi data pipeline — 132 models passing
• Knowledge-ingestion pipeline — audio → transcript → rules
• 17 operating rules auto-promoted from book ingest

Notes

Build the knowledge first, then use it. The curated docs I wrote before building the pipeline meant every decision had a rationale — and real bugs surfaced during the review, not production.