Product
Autopilot turns intent into an evaluation.
Stop assembling workflows from memory. Describe what you need. Autopilot builds the draft, you approve the proof.
Describe the evaluation in plain English. Autopilot proposes the template, dataset, rubric, and gates.
Every suggestion is inspectable. No black boxes. Every gate is a named decision you can defend.
Turn a preview into a runnable evaluation without rebuilding your stack or rewriting config.
Acceptance, modification, and deployment are tracked so Autopilot gets better without guesswork.
You write: “Evaluate oncology summaries for accuracy, compliance, and bias. Use GPT‑5.3.”
Autopilot selects a template and dataset, then assembles a rubric skeleton and quality gates.
You review the workflow, gates, and rubric before a single run starts.
A single click produces a deployment handle that your platform can promote into real runs.
Autopilot is implemented in the repo as a deterministic MVP so teams can ship with predictable behavior. External adoption metrics and accuracy targets require real traffic to validate.