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    ai video continuity director

    by Vladisav Jovanovic

    1

    The problem AI video generators can make one beautiful shot and still fail across a sequence.

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    See it in action

    You say

    I have a 4-shot sequence for a coffee brand. Shot 1 is a close-up of the bag. Shot 2 is a pour. The bag's logo changed from red to orange in Shot 2. Fix it and plan the next two shots.

    Your agent does

    CONTINUITY REPAIR Route: REPAIR LOCALLY KEEP: Pour action, lighting, wood table texture. DRIFTED: Logo color (P0 failure). Minimal repair prompt: [Subject: Coffee bag], [Action: Static], [Logo: Crimson Red], [DO NOT CHANGE: Background texture, lighting]. Next: Shot 3 - Steam rising. Shot 4 - First sip.

    What you get

    Maintain product geometry and logo placement across commercial video shots.Create a shot-by-shot continuity bible for narrative character consistency.Diagnose and write minimal repair prompts for drifting AI video generations.Orchestrate visual language across multi-model AI video pipelines.

    About this skill

    The problem

    AI video generators can make one beautiful shot and still fail across a sequence. Faces change, wardrobe drifts, products mutate, rooms move, lighting flips, camera language changes, and fixing one defect often destroys three things that were already working.

    What it does

    • Builds a Continuity Bible for characters, products, environments, lighting, camera language, color, and style before generation begins.
    • Separates P0 identity and product locks from lower-priority details so the workflow knows what must stay fixed and what can change.
    • Turns scripts and visual concepts into shot cards with purpose, action, composition, lens, movement, lighting, continuity anchors, generation prompts, and acceptance checks.
    • Maintains a Shot State Ledger so accepted visual details carry forward instead of being silently redefined by later generations.
    • Diagnoses generated frames and clips as KEEP, DRIFTED, MISSING, UNWANTED, UNCERTAIN, or NOT VISIBLE.
    • Creates minimal repair prompts that preserve successful identity, framing, lighting, and composition while changing only the variables that failed.
    • Routes each result to ACCEPT, REPAIR LOCALLY, REGENERATE SHOT, REGENERATE FROM REFERENCE, or REBUILD SHOT PLAN.

    Why this beats prompting it yourself

    Most AI video prompting treats every shot as a new generation. This skill treats the sequence as a controlled visual state. It explicitly tracks what must remain locked, what is allowed to change, what actually drifted, and what the next generation must preserve. The result is less destructive trial and error and a clearer path from one accepted shot to the next.

    Use cases

    • Keep the same character, wardrobe, and visual identity across a cinematic short or branded story.
    • Protect product geometry, packaging, materials, and label placement across multiple ad shots.
    • Build continuity-controlled vertical social videos, launch trailers, and ecommerce sequences.
    • Repair one failed element in a generated clip without rewriting the whole visual concept.
    • Carry a shared continuity bible across multiple image and video generators.

    Known limitations

    This skill does not guarantee perfect character identity, exact logo rendering, or generator compliance. It cannot directly repair pixels and does not replace compositing, masking, tracking, or professional VFX when those are required. Exact brand and product fidelity may still require reference conditioning or post-production.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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