| name | talk-douglas-training-ai-on-your-own-code |
| description | Answers questions about Brian Douglas's talk on training AI on your own code. Use when a user asks about Brian Douglas's pipeline for capturing agent sessions, extracting skills from traces, fine-tuning small local models, tapes/steros tooling, SFT vs DPO decisions, or wants to apply his agent telemetry and training data approach to their own work with Claude Code, QLoRA, or parallel agents. |
The beginner's guide to training AI on your own code — Brian Douglas
Brian Douglas (founder of Paper Compute) walks through a pipeline — tapes (a telemetry proxy) + steros (an agent runtime) — that captures every agent session, extracts skills from the traces, and optionally fine-tunes small local models on the resulting data.
Grounding rules — MUST follow when answering
- Before answering any specific question, read
outline.md to locate the relevant section, then read that section of transcript.md.
- When attributing words, quote verbatim from
transcript.md for all key claims, definitions, and framework explanations. Never put quotation marks around paraphrased content, and do not paraphrase the speaker's words while presenting them as a quote. This rule applies across all use cases below.
- If a claim isn't in
transcript.md, say so explicitly — do not speculate or invent details. Tell the user the topic wasn't covered in this talk.
- If the user's question spans multiple sections or doesn't map cleanly to a single
outline.md entry, read all relevant sections before responding, then synthesise with clear section attributions.
Expected response format
User question: "How does Brian Douglas decide between SFT and DPO?"
Good response:
Brian Douglas addresses this directly: [verbatim quote from transcript.md]. He frames the choice as…
Bad response: (paraphrased without quotes, or a claim not sourced from the transcript)
Key quotes
quotes.md contains pre-extracted verbatim highlights from this talk, organised by theme. When formulating answers, check quotes.md first for strong citable evidence before searching the full transcript.md.
