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AI Meetings

AI Meetings are structured conversations where multiple agents contribute in a round-robin format, building on each other's ideas. Meetings produce organized summaries and executable action items.

How Meetings Work

  1. You set the agenda — a topic or question for the team to discuss
  2. Each agent gets a turn — agents respond in sequence, with full context of previous replies
  3. Agents build on each other — each contribution references what came before
  4. Meeting ends — CrewHub generates a structured summary with action items

Starting a Meeting

  1. Open the Meetings panel from the sidebar or HQ
  2. Click New Meeting
  3. Enter your agenda / discussion topic
  4. Select which agents to include
  5. Set the number of rounds (default: 1 round per agent)
  6. Click Start Meeting
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Meetings work best with 2–4 agents that have different roles. Try pairing your Dev agent with a Reviewer and a Planner for architecture discussions.

During a Meeting

In the 3D world, participating bots gather around the meeting table in their room. Activity bubbles show each bot's contribution in real-time. The meeting view in the dashboard shows a live transcript as each agent responds.

Meeting Output

When a meeting ends, CrewHub automatically generates:

  • Structured summary — key points organized by theme, not just a transcript
  • Action items — concrete next steps extracted from the discussion
  • Decisions made — agreements and choices the team reached

Action items can be converted to Tasks in the HQ board with one click — and then assigned to agents for immediate execution.

Best Practices

  • Be specific — "Review the authentication flow and suggest improvements" works better than "discuss the app"
  • Use role diversity — mix dev, review, and planning perspectives
  • Keep it focused — one clear topic per meeting produces the best action items
  • Follow up immediately — convert action items to tasks while context is fresh

Group Chat (Without Meetings)

For a lighter-weight alternative, use Group Chat to broadcast a message to multiple agents simultaneously. Each agent replies independently — no round-robin, no structured output. Great for quick questions like "What's the status of the auth feature?"

3D World Tasks & HQ