session-intelligence-harvester

To capture session learnings, invoke the harvester to extract corrections and pattern discoveries, then route them into Reusable Intelligence Infrastructure components to convert them into enduring organizational knowledge.

Preventing pattern drift requires harvesting session corrections and applying updates to downstream artifacts across multiple files, encoding the fixes into standardized knowledge components to stop repeated mistakes.

Knowledge management automation works by extracting corrective notes from session artifacts and chats, routing them to appropriate infrastructure components, and applying standardized updates to downstream files automatically.

Yes, you can use this workflow to prepare structured summaries of encoded learnings, allowing future teammates or agents to reuse the captured corrections and pattern discoveries.

No specific dependencies are required to route discoveries into the infrastructure; the harvester operates independently to encode learnings into standardized components and apply updates to downstream artifacts.

You should harvest learnings when you need to encode post-session corrections, drift fixes, or pattern discoveries across multiple files into permanent knowledge components to prevent recurrence automatically.