OpenClaw · Open source
Run a weekly review from meeting transcripts and brief before meetings
A founder building an open-source product listed what his OpenClaw agent does for him, including leading a weekly review from meeting transcripts and notes, a morning brief, and research docs on people before meetings.
What they did
The agent pulls transcriptions of his meetings and the notes he keeps in Notion and walks him through a weekly review. Each morning it sends a brief with weekly objectives, the meeting agenda, key reminders and trends. Before meetings it researches the people involved and writes briefing documents, and it time-blocks tasks on his calendar by importance.
How it went
The poster presents it as his working setup and says the agent built these skills itself through chat, but gives no time savings or quality measures.
Worth knowing
This is a single list post; it does not show the outputs or how accurate the briefs are. Several items are personal rather than business tasks, and some skills were still planned.
Try it with OpenClaw
Every Friday at <time>, read this week's meeting transcripts in <transcript folder> and my notes in <notes app>. Walk me through a weekly review: decisions made, commitments I owe and to whom, open risks, and what to drop next week, compared with my objectives in <objectives page>. Also, the evening before each meeting on my calendar, research the attendees and write a one-page brief.
We wrote this prompt from the case. Replace the parts in angle brackets with your own details.
What this label means: User reports
Someone using it at work posted about it. Any numbers are theirs, so we write "the poster says".
Real cases of AI agents at work, from every major agent, each linked to where it was first reported. Rewritten in our own words, most with a prompt you can try. These are not Wize customers.