learn-log

Session history is parsed from JSONL files, and parallel extraction agents convert daily conversations into Q&A, insights, and action items, appending the results to a Markdown weekly log for mentor sharing.

Yes, daily conversations are processed by parallel extraction agents that identify Q&A pairs, summarize learning insights, detect blog candidates, and log artifacts like document changes into a structured weekly summary.

Parsing session JSONL histories through parallel extraction agents generates a consistent Markdown weekly log, capturing Q&A, insights, and action items while safely appending new entries without duplicates.

The weekly log is safely updated by appending parsed session results without duplication, ensuring that previously logged Q&A and insights are not repeated across multiple runs.

Yes, both the input session JSONL history paths and the output Markdown weekly log paths are configurable, allowing you to target specific directories for reading conversations and writing the aggregated summary.

Extracted insights include Q&A pairs, summarized learning takeaways, detected blog post candidates, and logged artifacts such as document outputs or configuration changes from daily development conversations.