Synthesize for Action, Not Just Summary
Use a synthesis-for-action frame so AI turns raw notes into themes, decisions, and next moves.
The teach Summary says what happened. Synthesis says what it means for action. Use AI for synthesis in four passes: Sort the notes into repeated signals. Cluster those signals into themes. Label what each theme implies: decision, risk, open question, or next action. Pull the best evidence quote or observation under each theme. This prevents the common recap trap: the document looks cleaner, but you still do not know what to do. The richer prompt forces the model to move from narration into interpretation with evidence attached. A good manager synthesis prompt also separates observation from inference. That matters because…
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