Chat Conversation Mining for Public Knowledge

Testing whether an extraction prompt over exported chat sessions yields publishable assets at a useful rate, with the public/private boundary check built into the extraction step.

updated 2026-07-04 observed generalized

#knowledge-capture#extraction

Hypothesis: Long AI chat sessions contain publishable assets worth extracting.
Tool / setup: Conversation-to-Source Extractor — Extraction prompt run over exported working sessions, outputs staged for boundary review
Result state: observed
Next iteration: Automate the public/private boundary check before publishing instead of reviewing manually.

Hypothesis

Long AI chat sessions contain publishable assets worth extracting.

Setup

The Conversation-to-Source Extractor prompt run over exported working sessions; outputs staged in a private area for boundary review before anything reaches the public repo.

What I tried

Extraction over several long sessions, classifying each asset as public, review, or private at extraction time rather than at publish time.

Result

Mixed — the extraction rate is good, but manual boundary review is still the bottleneck.

Next iteration

Automate the public/private boundary check before publishing instead of reviewing manually.