01 / Promise
Name the outcome
The model batch produces validated output that appears in the product or downstream destination.
Generated output monitoring
Prove generated output appeared, not just that the batch ended.
Model workflows often fail after the model call: validation rejects the result, persistence breaks, or the UI never receives the output. Luota makes the output proof explicit.
Operating spine
The workflow operating spine.
The model call is not the product promise. The proof path should end when validated output is saved and visible to the user or downstream workflow.
02 / Signal
Send the signal
Open the run for the batch and close success only after validation, persistence, and visibility checks pass.
03 / Drill
Break it on purpose
Fail validation or skip persistence on a small controlled batch to prove Luota catches the invisible-output case.
04 / Incident
Inspect the bad day
The incident should show batch id, model, prompt version, counts, validation result, output id, and deploy SHA.
05 / Handoff
Leave an operator path
Route the owner to retry, revalidate, suppress bad output, or notify users with a clear confidence boundary.
The failure
The batch worker finished model calls and the queue drained, but validation or persistence failed. Infrastructure stayed green while the user saw stale or missing output.
The Luota proof
Open a run for the batch. Close success only after output validates, saves, and is readable from the user-visible surface that depends on it.
Evidence to attach
Attach batch id, model, prompt version, input count, validation counts, output id, duration, and deploy SHA. Do not attach raw prompts or customer content unless that is intentionally safe.
Failure drill
Run a small batch that intentionally fails validation or skips persistence. Confirm Luota opens an incident with enough context to decide whether retry is safe.
Need a concrete migration or monitoring pattern? Start with the docs, then adapt the payload to the evidence your operator needs.
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