AI Video Generation
Build a repeatable workflow
Repeatability comes from staged work, saved evidence, and an explicit recovery path.
Before you start
Why this matters
Without opening an AI tool, write the acceptance test for this job: direct a coherent three-shot paper-boat sequence for a short lesson opener. Name one fact that must be exact, one judgment a person must make, and one condition that should stop the workflow. Compare your answer with the professional standard below; the gap is what you should practice.
1Learn the idea
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The operating loop
Use this topic-specific sequence: brief → storyboard → generate shots → continuity pass → edit → disclose. Give each stage one input, one output, and one gate. The first run should be narrow and reversible. Later automation is earned by measured reliability, not by how easy it is to connect tools.
For direct a coherent three-shot paper-boat sequence for a short lesson opener, begin with the job card and sanitized packet. Run the constrained prompt:
Create a 6-second 16:9 shot: red paper boat in a shallow rain puddle; it drifts past one yellow leaf; low close-up tracking left to right; overcast realistic light; calm continuous motion; no cuts. Preserve boat color and fold shape. Avoid people, text, logos, camera shake, and copyrighted characters.
Save the response beside its prompt and input version. Then apply the quality rubric and review first/middle/last frames, check anatomy and physics, compare continuity anchors across shots, inspect logos/text, and verify disclosure and asset licenses. A failed check returns to the smallest responsible stage; do not regenerate everything. If the source was missing, repair context. If the instruction was ambiguous, repair the prompt. If the candidate violates policy, stop and escalate rather than prompt around the policy.
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Roles and handoffs
Name an owner for source approval, generation, verification, and release. One person may hold several roles on a small project, but the role changes should remain visible. The reviewer needs the evidence packet, not merely the final artifact.
Define operational states: draft, needs evidence, blocked, approved, released, and rolled back. This vocabulary prevents a plausible draft from being mistaken for an approved result. Attach timeouts, retry limits, and an off switch to any automated stage.
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Observe and improve
Log the defect category rather than just “bad output.” This chapter's recurring defects are too many actions per shot; character drift; warped text; impossible motion; undisclosed synthetic footage; unlicensed music or style imitation. Track their rate on representative cases. Review false positives and false negatives separately when classification is involved; track factual, continuity, or rights defects when producing media.
The end product is a production dossier containing rights ledger, consent records, prompts/seeds, shot list, continuity stills, QA notes, and export disclosure. Generate short shots separately and edit them together. Consent, copyright, trademark, music rights, and clear labeling are production requirements—not cleanup after export. Periodically rerun a stable set of cases after changing models, prompts, source material, formulas, or settings.
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Recovery drill
Imagine the independent check fails after release. Identify how to stop distribution, identify affected outputs, restore the last approved version, notify the owner, and preserve enough evidence to learn. A workflow without rollback is only a happy-path demo.
Continue learning · glossary & guides
- Which artifact proves each handoff happened?
- When a check fails, which stage owns the correction?
- Reference · Related concept
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