Capture
Record real tasks across tools and websites with context-preserving anonymization that runs entirely offline.
rec
Practice before production
The rehearsal layer for AI agents
Trayn turns real tasks into stateful, verifiable environments for training and evaluating AI agents across realistic task variations before deployment.
The reality
Real work is not a clean demo.
Agents break on the details: pop-ups, missing fields, UI changes, hidden steps, file attachments, detailed forms, messy states, and edge cases.
Trayn turns those moments — and any chain — into training environments where agents can rehearse safely, repeatedly, and measurably before deployment.
agent run · send-billing-reportlive
Capture · Construct · Train · Evaluate
How Trayn works
Construct
Convert recorded tasks into deterministic, interactive environments with replayable state transitions and trackable agent actions.
Train
Run agents through repeated reps using the Trayn SDK or CLI, with step-level rewards and feedback after each attempt.
reps
Evaluate
Test across chain variations to verify robustness against changing interfaces, inputs, interruptions, and environment states.