Teardown and Review
- Proper session cleanup
- How to review agent performance
- Best practices for future sessions
- Stop all agents
- Archive the session
- Review what worked
Congratulations on completing your first multi-agent research session! Before moving on, let's properly clean up and extract lessons for future sessions.
1Stop All Agents
Gracefully stop each agent in their ntm panes:
2Archive the Session
Package all session files for future reference:
3Review the Session
Take a few minutes to reflect on what worked and what didn't:
Which agent performed best?
Note their model/config for future sessions with similar research questions.
Where did you need to intervene?
Frequent interventions might indicate unclear kickoff prompts or role definitions.
What hypotheses surprised you?
The best sessions produce ideas you wouldn't have generated alone.
What would you change next time?
Capture specific improvements while the session is fresh in your mind.
Export Session Log
Create a human-readable log for your research notes:
What's Next?
Run More Sessions
Practice makes perfect. Run sessions on different research questions to develop your orchestration intuition.
Customize Roles
Create custom role definitions beyond the standard three. Experiment with specialist roles for your domain.
Build Your Corpus
Add domain-specific excerpts to your corpus. Better context leads to better hypotheses.
Automate Workflows
Use the brenner CLI in scripts to automate common patterns. Create templates for different research types.
Tutorial Complete!
You've learned the full multi-agent cockpit workflow.
You now know how to:
- • Set up the multi-agent infrastructure
- • Configure and assign agent roles
- • Write effective kickoff prompts
- • Launch and monitor sessions
- • Compile and score research artifacts
- • Iterate toward high-quality outputs