The outcome

Run a reliable generation pipeline that cannot silently accept unauthorized identities or publish unsafe output.

Step by step

A workflow you can repeat.

  1. 01

    Define allowed users, inputs, models, durations, resolutions, references, regions, cost limits, retention, moderation, disclosures, and prohibited use cases.

  2. 02

    Keep API credentials server-side, minimize uploaded data, obtain documented end-user consent, use isolated storage, and bind each request to an authenticated owner.

  3. 03

    Validate file type, size, metadata, rights attestations, prompt content, reference count, idempotency key, and budget before submitting the generation.

  4. 04

    Poll with bounded retries, handle failure and timeout safely, quarantine output for automated and human review, and preserve required deep-synthesis indicators.

  5. 05

    Test abuse, impersonation, prompt injection, duplicate requests, cost exhaustion, deleted users, provider failure, unsafe output, audit logs, and a human-approved publication path.

Working standard

What good use looks like.

  • Keep credentials and publishing server-side.
  • Require rights attestation and consent.
  • Quarantine every output before release.

Official references

Check the current product documentation.