Glossary · Cost engine

Deterministic replay

Re-running a compiled skill as a fixed sequence of indexed actions, with zero LLM calls, so the same goal produces the same path every time.

What is deterministic replay?

Deterministic replay executes a previously compiled skill as an explicit, ordered program of browser actions keyed to indexed DOM elements, without invoking a language model. Because the plan is fixed and re-resolved against the live page rather than regenerated, the same goal yields the same action path — fast, cheap, and auditable.

Why it matters

Replay is what makes a cache hit nearly free: once a skill is compiled, re-running it costs browser time, not model tokens. It also makes runs reproducible and reviewable, which matters for RPA and authorized testing where you need the same flow to behave identically across thousands of executions.

Related terms

See it in context

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Put your agent to work. Keep the decision.

Give your agent a real browser, authorize the accounts it may use, and keep control of every step. Repeated runs compile into skills that replay without a model.