Engineering Notebook

Forward deployed workflow

Turn a model suggestion into a human-approved support decision.

This studio calls a server-side model with a versioned prompt, rejects output that breaks the application contract, and shows the operational evidence a customer team needs to discuss deployment readiness. A reviewer can then accept or correct the suggestion and export the synthetic learning signal.

1 · Customer input

Support ticket

3 synthetic samples

No API key belongs here. Provider credentials stay on the server.

Request demo access
Deploy your own

Public live mode does not accept arbitrary ticket text. Only the displayed synthetic sample id is sent; the server loads its reviewed text. The application does not persist tickets. Access requests open a prefilled Gmail message in the browser and are manually reviewed; no code is issued automatically.

2 · Validated output

Workflow recommendation

NOT RUN
The result contract will appear here.

Inspect the classification, missing context, next action, and validation state—not only the prose.

3 · Human review

Approve, correct, and capture the learning signal

AWAITING RESULT

Review never makes another model call. Decisions are stored only in this browser and can be reset or exported as sanitized synthetic evaluation data.

Load a recommendation to begin review.

The model suggestion remains separate from the human-approved outcome.

Synthetic queue

Review metrics

4 · Operational evidence

What the application can prove

ExecutionNot run
Promptstructured-v2
Schema5 required fields
StorageNot stored by app

5 · Cost boundary

Free exploration without unbounded inference

Recorded modeOpen and zero inference cost
Live scopeT001–T003 only
Live accessDemo code required
Global ceilingShared UTC daily limit

The deployment also has a server-side kill switch, a 300-token output ceiling, per-client throttling, and fail-closed shared-counter behavior. Technical reviewers can deploy the same contract against their own provider account.