Yes-Brainer — A council of LLMs that debate in the browser
Yes-Brainer is an open‑source web app that assembles a council of large language models to discuss and vote on user‑posed questions.
- Yes-Brainer creates a browser‑based council of LLMs that debate and vote on user questions.
- The app runs client‑side, requiring no backend server and is released as open‑source code.
- It demonstrates collaborative AI behavior, useful for brainstorming, decision support, and teaching model differences.
Yes-Brainer is a lightweight web application that brings together several large language models (LLMs) to form a "council". Users submit a question, and each model provides its reasoning before the group votes on the best answer.
The project was created to showcase how multiple AI agents can collaborate, highlighting differences in model behavior and providing a more nuanced response than a single LLM might give.
It runs entirely in the browser using client‑side inference, so no server infrastructure is required. The code is open source, inviting developers to experiment with new prompting strategies or add additional models.
While primarily a demo, the tool could be useful for brainstorming, decision support, or educational purposes where seeing varied AI perspectives adds value.
Provides a ready‑made example of multi‑LLM orchestration that can be extended or integrated into other projects.
Shows a low‑cost way to add AI‑driven decision support without server costs.
Illustrates how different LLMs reason, useful for learning about prompting and model variance.
Offers a novel interactive AI experience that lets users see multiple viewpoints on a single query.
- LLM
- Large Language Model, a type of AI that generates text based on massive training data.
- council of LLMs
- A group of separate language models that each provide answers, then collectively decide on a final response.
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