Typed contracts
Schema validation catches malformed model output before it reaches a downstream action.
Break the chain. Then make it dependable.
Model a multi-step AI automation, inject real failure modes, and inspect which safeguards improve reliability, latency, cost, and human workload.
Simulation only. This lab never connects to an inbox or external app. “Save to drafts” is an inspectable local state, not a real side effect.
Email draft chain
Draft only · six steps · human approval required
ReadyRunningPassedFailedRecovered
Failure scenarios
Select one, then run or step through the chain
Execution trace
Ready to simulate
No run yet
Pick a failure mode and run the chain.
Pick a failure mode and run the chain.
Reliability report
Transparent estimates from the current safeguards
61%end-to-end success
18.4sincludes retries
$0.08per attempted run
42%runs needing a person
Reliability = product(step success) + recovered failures − duplicate side effects
1.18×attempts per run
100%duplicate suppression
83%failures with a route
7.2stypical successful run
Idempotency
A stable event key makes retries safe and prevents duplicate drafts or notifications.
Recovery routes
Checkpoints, dead-letter queues, and compensation turn silent loss into inspectable work.
Human judgment
Risk-based approval targets ambiguous cases instead of forcing every run through review.