Five Checks to Validate AI Video Generation Contracts Before Job Submission

Developers working with AI video generation tools are advised to validate provider capabilities against real inputs before submitting any generation job, rather than relying on demos or route names. The recommended approach begins with writing an acceptance sentence that defines expected output dimensions, source identity, latency, and the point at which unsafe content is blocked. Teams should maintain separate identifiers for source assets and generated derivatives, enabling full traceability during incidents or audits. Unacceptable outputs—such as black frames, hidden disclosures, or moderation bypasses—should be explicitly listed as contract failures regardless of HTTP success. Additional safeguards include using idempotency keys to prevent duplicate derivatives on retries, defining clear asset lifecycle states, and ensuring moderation checks occur after generation but strictly before publication.