[03]Use case · Agents
Train agents against a faithful clone of the real tool.
An executable replica of the tool your agent has to operate, wired to a reward function that scores what the agent actually did — not what it said it would do.
Deliverable
Executable env + reward fn
Priced by
per environment
Credential gate
Power users of the tool
Typical rate
$8k–40k
What you're buying
A runnable environment that mirrors the real interface — the gated actions, the state transitions, the edge cases — paired with a dense reward function in [0,1] authored by someone who lives in the tool.
Who builds it
Power users of the actual tool. They know which action sequences are legal, which quietly corrupt state, and which look right but a professional would never take. That knowledge becomes the reward shaping.
Fidelity, not a sandbox
One-to-one tool fidelity is the whole point. If the environment is easier than the real thing, the policy you train against it fails the moment it meets production.
By the numbers
14
gated actions
~40
avg steps / episode
0–1
dense reward
1:1
tool fidelity