Your task, built as anenvironment. In days.
Bring the job your agents fail at. We turn it into rules, a scenario bank, baselines and a scorer — the same contract as every ForgeAI environment.
From your spec to ascored environment.
- DAY 0Scope callThe task, the agents, where they fail, and the decision you need evidence for.
- DAY 1–2SpecState, actions, observations, horizon and the end-state score — signed off before we build.
- DAY 3–5BuildOne folder on our environment kit: engine, seeds, REST/MCP interface, replay and capture.
- DAY 5–7CalibrateNo-plan, scripted and optimum baselines; difficulty tuned to your target pass rate.
- DAY 7–8Stress-testWe try to game the scorer. Every exploit found becomes a rule or a test.
- DAY 10DeliverHosted access or code, baseline report and sample episodes with a dataset card.
Typical timeline for an operations-style task. Larger worlds are scoped on the call.
A description of the job · example inputs or logs · what a good outcome looks like · the agents or models you want tested · any constraints on data and hosting.
A deterministic environment · versioned scenario bank with held-out seeds · scorer and baselines · a stress-test report · hosted runs or code · sample trajectories.
Questions
Per engagement, scoped on the first call. There is no public price list; exclusivity and dataset volume are the main drivers.
Tell us the job youragents fail at.
Tell us the job, the agents involved and where they fall short. We'll tell you whether an environment can answer it.
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