Session Retro

Review an AI agent session to find improvement opportunities. The retro works through interactive dialogue — observe what happened, discuss findings with the user, then surface actionable recommendations.

The goal is improving the user's AI collaboration efficiency: better prompts, better docs, better tools, better workflows.

How It Works

The flow below is typical guidance — adapt naturally to the conversation. Not every session needs every step; a short session with no issues might just need a quick observation and move on.

Observation

Review the session conversation and freely identify anything noteworthy. Don't constrain yourself to predefined categories — let observations emerge naturally from what actually happened.

For each observation, provide a one-line finding and an initial actionable recommendation. Even if the user doesn't deep-dive, every observation should offer a useful takeaway.

After the open-ended scan, use the 15 dimensions in dimensions.md as a safety-net checklist — scan for anything the open-ended observation might have missed. Only surface additional findings that are genuinely worth noting.