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AI2026· Council AI

Council AI — Multi-Agent Brainstorm Platform

The first multi-agent brainstorm platform: assemble a team of expert AI agents that debate your problem across structured phases and deliver a synthesis document.

  • Multi-Agent System
  • Structured Synthesis
  • Domain-Agnostic Agents
Council AI — Multi-Agent Brainstorm Platform — AI project by OpenServe
Client
Council AI
Industry
SaaS / Artificial Intelligence
Timeline
Beta (2026)
Year
2026
Services
  • AI Solutions & Agents
  • Web Development
  • Custom Software
Built with
  • Next.js
  • TypeScript
  • Multi-Agent Orchestration
  • Streaming LLM APIs
  • PostgreSQL
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Overview

Council AI is the first platform to bring structured, multi-agent brainstorms to market. Instead of one AI answer, you convene a team of expert agents who debate your problem and hand you a decision-ready synthesis. OpenServe designed and built the product end to end.

The Challenge

A single AI model gives you a single perspective. But real decisions — product, technical, legal, financial, risk — need different viewpoints that push back on each other. The value of a team meeting comes from the friction: people disagree, refine, and converge. That's exactly what a one-shot chatbot can't reproduce.

The challenge was to capture that dynamic in software: multiple agents that genuinely interact, stay on topic, and produce something usable rather than an endless transcript.

Goals

  • Let users assemble a tailored team of expert agents in seconds.
  • Make agents interact — reference, challenge, and build on each other.
  • Keep sessions converging toward a decision, not sprawling.
  • Output a structured, ready-to-use synthesis document.

Our Approach

A library of expert agents

We built 36+ pre-built agents spanning engineering, product, finance, legal, marketing, operations, research, and more — each with its own perspective and priorities. The library is extensible, so teams can add agents for their own industry.

Structured phases

Every session moves through four phases — Intake → Discussion → Reconciliation → Synthesis — so the conversation has a beginning, a productive middle, and a decisive end instead of running on forever.

Real-time, referential debate

Agents take turns and respond to one another in real time, with messages streaming as they think. Because they reference each other's points, the discussion compounds rather than repeating.

Moderator synthesis

A Moderator agent closes each session by producing a structured Markdown document tailored to the domain — the artifact users actually take away and act on.

Results

  • The first multi-agent brainstorm platform of its kind to reach market.
  • A library of 36+ trained agents across every major business domain.
  • A repeatable, 4-phase workflow that turns open discussion into a decision.

Council AI works because the agents argue productively — the structure is what turns that debate into something you can ship.

What's Next

The domain-agnostic engine is built to grow with new agents and use cases. Try the beta at councilai.dev.

By the Numbers

1st
Multi-agent brainstorm platform to market
36+
Pre-built expert agents
4
Structured brainstorm phases

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