01Write the invariant shot intent first
For AI Image Prompts, state the subject, environment, action objective, emotional beat, and end condition in plain production language. These invariants keep general video prompts variants comparable instead of producing unrelated ideas. For this section 1, save a revision log; have the technical reviewer review continuity; record the failed case as well as the accepted one; and do not advance it beyond a bounded experiment until the named limitation is resolved. Keep prompts evidence separate from image assumptions.
02Turn the topic into a repeatable method
Move from definition to a small practice sequence, then review the result against explicit craft, rights, and delivery checks. Keep vendor-specific behavior outside the method unless a source verifies it. For this section 2, save a test worksheet; have the media owner review editability; record the failed case as well as the accepted one; and do not advance it beyond a bounded experiment until the named limitation is resolved. Keep prompts evidence separate from image assumptions.
03Layer camera, timing, continuity, and sound
Add framing and camera movement only when they support the action. Mark temporal beats, preserve identity and environment anchors, describe sound as intent rather than a guaranteed feature, and name artifacts or changes to avoid. For this section 3, save a annotated source board; have the brand reviewer review input fidelity; record the failed case as well as the accepted one; and do not advance it beyond a bounded experiment until the named limitation is resolved. Keep prompts evidence separate from image assumptions.
04Create controlled prompt variants
Change one meaningful dimension per version, such as shot size, movement, pacing, or performance intensity. Label the hypothesis for each variant so review can identify which instruction caused the difference. For this section 4, save a continuity sheet; have the producer review licensing; record the failed case as well as the accepted one; and do not advance it beyond a bounded experiment until the named limitation is resolved. Keep prompts evidence separate from image assumptions.
05Review the output without inventing model controls
Check whether the requested action reads clearly, the camera supports the beat, references remain coherent, and the ending is usable. A prompt template does not prove that any named model, duration, audio mode, or parameter is available. For this section 5, save a evidence ledger; have the creative producer review motion coherence; record the failed case as well as the accepted one; and do not advance it beyond a bounded experiment until the named limitation is resolved. Keep prompts evidence separate from image assumptions.
06Keep the evidence ledger attached to the decision
Partial evidence was supplied, but it does not establish product support or a complete capability, customer, or performance claim. Record the source, verification date, claim scope, unresolved gap, and the decision that the evidence can support. Search demand must never be reused as capability proof. For this section 6, save a prompt brief; have the prompt designer review reference integrity; record the failed case as well as the accepted one; and do not advance it beyond a bounded experiment until the named limitation is resolved. Keep prompts evidence separate from image assumptions.
07Build a specific test brief for ai image prompts
Start with an authorized still image and its untouched original. Define one observable change, protected details, a stopping rule, and the named reviewer. The intended output is a reusable prompt contract with controlled variants. Test one variable per version, preserve the source and settings, and compare results at the actual delivery size instead of choosing from an unrecorded impression. For this topic test, save a continuity sheet; have the motion designer review identity consent; record the failed case as well as the accepted one; and do not advance it beyond a production checkpoint until the named limitation is resolved. Keep prompts evidence separate from image assumptions.
08Separate topic fit from product proof
A dated, user-provided competitor-gap export supports only the decision to cover “ai image prompts.” It does not prove audience demand, SEELE capability, third-party behavior, commercial value, or a likely outcome. Verify product-specific statements against current first-party documentation and a recorded representative test. For this source review, save a acceptance matrix; have the channel owner review continuity; record the failed case as well as the accepted one; and do not advance it beyond a stakeholder sign-off until the named limitation is resolved. Keep prompts evidence separate from image assumptions.