[Re]train agents that act safely.
Tool accuracy, safety boundaries, and cost efficiency — scored on real workflows with real APIs. Agents learn the right tool, right parameters, right sequence.
Agents pick the right tool every time.
Tool accuracy is scored against correct tool calls, parameter validation, and execution order. No hallucinated tool invocations. The trainer iterates until the agent consistently selects the right tool for each step — on workflows it hasn't seen.
Safety violations caught before they reach users.
Safety is scored on access boundary compliance, injection resistance, and authorization verification. Agents train against adversarial inputs designed to trigger boundary violations — and learn to resist them.
Same results. Fewer steps. Lower cost.
Efficiency is scored on step count, token usage, and cost per completion. The trainer finds shorter paths to the same outcome — fewer tool calls, less token waste, lower cost — without sacrificing accuracy or safety.
Agents train on the workflows they'll run in production.
API calls, database writes, workflow triggers — agents train on the same actions they perform in production, with the same tools and the same constraints.
REST, GraphQL, webhooks — agents learn correct payloads, error handling, and retry logic.
Read, write, update, delete — with transaction safety and rollback awareness.
Multi-step workflows with conditional branching, parallel execution, and error recovery.
Ready to train your action agents?
Tool use, safety, and efficiency — scored on your workflows.