Theo in action

A live walkthrough of the Theo, an adaptive environment for doing complex research with AI.

October 1 · 2 PM - 3 PM (ET) · 1 hour

In this session, we'll walk through how Theo works with a real research workflow, steering the system toward a specific line of inquiry, iterating on results as they come in, and returning to earlier threads without starting over.

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Theo

A new way to work with research

Guided by domain-specialized AI

Theo's models are specifically trained to excel at scientific research.

Structure your research before you execute it

Build clear, complete research plans with guided validation (including questions, assumptions, methods, evaluation).

Steer research as it unfolds

Intervene at any step - adjust variables, assumptions, or methods throughout your research.

Re-run only what matters

Modify part of your research workflow without restarting everything.

See how results were produced

Inspect each stage of reasoning and execution, not just the final output.

Catch gaps early

Surface missing assumptions, unclear metrics, or weak methodology before spending any time or compute resources.