The LLM Council aggregates and synthesizes responses from the top-ranked large language models — including Gemini 3.1 Pro, Claude Opus 4.6, and GPT-5.2 — through a rigorous pipeline of parallel execution, peer review, and chairman synthesis. Every response is cross-validated, rated, and distilled into a single authoritative answer, then exported to NotebookLM for ongoing research and education.
Every model has blind spots. The Council eliminates them through structured disagreement, cross-validation, and synthesis — the same way expert panels reach better conclusions than any single expert.
Your prompt is sent to all seven models simultaneously. Each model approaches the problem independently, producing diverse perspectives that no single model could generate alone.
Every model evaluates every other model's response on a 1-10 scale. This cross-validation surfaces the strongest reasoning and exposes weak arguments before synthesis.
The highest-ranked model (Gemini 3.1 Pro, #1 on the Intelligence Index) synthesizes all responses and peer reviews into one authoritative, deeply-reasoned answer.
A five-stage pipeline that transforms your question into the most thoroughly-vetted answer possible.
The system analyzes your prompt and generates targeted clarifying questions to ensure every model has the context it needs.
Your refined prompt is sent to all seven council models simultaneously. Each produces an independent, comprehensive response.
Every model reads and rates every other model's response on a 1-10 scale, providing structured rationale for each rating.
The top-ranked model synthesizes all responses, weighted by peer review scores, into a single authoritative answer.
All seven model responses and the chairman's synthesis are pushed to Google NotebookLM as independent sources for ongoing deep research.
Each council session consumes significant compute across seven frontier models. To maintain quality and manage costs, access requires administrator approval.