Consensus Mode

Get cross-validated answers from a council of frontier AI models running in parallel. Theo then synthesizes the best reasoning, resolves contradictions, and streams the answer live — and you can choose which models join the council.

How It Works

1. Your question goes to every selected model simultaneously — each generates an independent answer without seeing the others.

2. Theo waits for the whole council — each model has its own timeout, and any that fail or time out are recorded and shown per-model. A misbehaving model never blocks the rest.

3. Theo synthesizes and streams the answer— it cherry-picks the strongest reasoning, resolves contradictions, flags uncertainty when models disagree, and streams the result live as it's written.

The default council

These five frontier models run by default. You can add more (extra direct-provider models plus an open-weight Expanded tier) and pick which 2–8 run from the model picker in the composer.

GPT-5.5

OpenAI

Claude Opus

Anthropic

Gemini 3.1 Pro

Google

Grok 4.3

xAI

Venice Llama 70B

Open-weight

Agreement Visualization

Below the synthesized answer, a breakdown panel shows:

  • Per-model contributions — what each model brought to the final answer.
  • Agreement score — 0–100% showing how much the models agree.
  • Reasoning narrative — a brief explanation of how the synthesis was done.
  • Points of agreement and disagreement — highlighted for transparency.

Individual Responses

Expand the Council Viewto see each model's full, unedited response alongside its latency and token count. This lets you compare how different models approached your question.

When to Use Consensus

Factual Accuracy

Get cross-validated answers to factual questions.

Balanced Perspectives

See how different models approach controversial or nuanced topics.

Technical Decisions

Compare architectural recommendations from multiple AI perspectives.

Research Validation

Verify claims by checking agreement across independent models.

Consensus mode runs several models in parallel, so it uses more credits than a single-model mode — and more models means more credits. Use it when accuracy and balanced perspectives matter most, and trim the council from the model picker when you want it lighter.
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