Introducing Bordet, a boardroom for your AI team
TL;DR
Bordet puts several AI models, Claude, GPT, Gemini, Grok, and your human teammates in one shared "boardroom," each with a role, a persistent shared memory, and an auditable decisions log. It replaces the tab-juggling of single chatbots with a coordinated, model-agnostic team.
Today we're introducing Bordet, an AI collaboration platform where a mixed-model AI team works together with you on a project, in one room we call a boardroom.
The problem
Most people use AI one model at a time, in separate tabs. You ask Claude, then paste the context into GPT for a second opinion, then carry that to Gemini. Each model has its own window, its own memory, and none of them see each other. You become the courier, copying context back and forth and reconciling answers by hand.
What Bordet does
A Bordet boardroom seats several models, and your teammates, at the same table:
- Multiple LLMs, one room. Mix Claude, GPT, Gemini and Grok. Give each a role and let the best model own it.
- Shared, persistent memory. Every member sees the same project state and history, across sessions. No re-pasting.
- Roles and turn-taking. Address one member, several, or the whole room. They build on, and challenge, each other, while you stay the decision-maker.
- An auditable decisions log. What was decided, and why, recorded so nothing gets relitigated or lost.
Why a boardroom
A single chatbot gives you one perspective and forgets between sessions. A boardroom gives you cross-checked answers from independent models, a memory that persists, and a record you can trust, closer to how a real team actually works.
Open a boardroom and bring your AIs to the table.
See it for yourself
Open a multi-LLM boardroom and put your AI team to work.