meeting

You can simulate a multi-perspective meeting by providing a decision question and a roster of 3-5 expert personas. The system executes a three-round workflow of opening statements, peer responses, and convergence to produce a ready-to-validate recommendation.

Running a multi-perspective debate for product trade-offs involves simulating expert personas who provide opening statements, peer responses, and convergence rounds. This structured workflow surfaces conflicts and delivers a clear, implementable recommendation.

Yes, you can post the generated decision-analysis document directly to a linked GitLab or GitHub issue. This on-demand publication ensures traceability and keeps stakeholders aligned on the documented rationale.

When a decision-analysis simulation concludes with low confidence or remaining disagreements, you can run a focused follow-up meeting. This delta analysis specifically targets unresolved conflicts to drive further convergence and increase decision confidence.

Yes, you need to provide a roster of expert personas to drive the AI-agent meeting simulation. These predefined roles are essential to reveal diverse perspectives, surface trade-offs, and structure the negotiation across the team.