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AI Video Agency Handoff Checklist (So Clients Don’t Rewrite Your Brief)

Apr 8, 2026

AI Video Agency Handoff Checklist (So Clients Don’t Rewrite Your Brief)

If you’ve ever finished a motion-control draft and then lost a week to “Can we change the crop?” or “Where did this version come from?”, the problem is rarely the model.

The problem is handoff.

This AI video agency handoff checklist gives you a simple, repeatable pack to deliver to a client (or an internal stakeholder) so approvals stay anchored to a clear start frame, a clean version log, and explicit pass/fail decisions.

If you’re using Zorq AI, you can start from a content direction library (and if you have no source images, generate a starting image on the site first). Then iterate motion control using Kling v3 Motion Control, Kling v2.6 Motion Control, or Nano Banana 2 depending on your creative.

Internal links:

AI Video Agency Handoff Checklist (cover)
Deliver a handoff pack, not a pile of drafts.

What “handoff” means in an AI video workflow

A good handoff is not “here are 6 videos.” It’s a small set of artifacts that make your work reviewable:

  • What was approved (start frame + constraints)
  • What changed (version log)
  • What should be judged (pass/fail criteria)
  • What the client receives (exports + usage notes)

When these are missing, clients give feedback like:

  • “Make it more like v2 but with the motion from v4”
  • “Can we switch to vertical?” (after you produced horizontal)
  • “Why does the product look different in this cut?”

The one-page handoff pack (copy/paste checklist)

Use this as your default deliverable for each creative direction.

A) Start frame approval (1 still)

  • [ ] Approved start frame image file (PNG/JPG)
  • [ ] Aspect ratio locked (9:16 / 1:1 / 16:9)
  • [ ] Composition notes: subject position, safe areas, negative space
  • [ ] Brand boundaries: palette, lighting mood, background rules
  • [ ] Reject conditions (3 bullets) written before motion generation

B) Motion versions (3–5 drafts max)

For each version (v1, v2, v3…):

  • [ ] Exported draft video (or preview link)
  • [ ] One sentence: what changed vs last version
  • [ ] Parameters you changed (only one variable if possible):
    • camera move (push / orbit / pan / tilt)
    • speed
    • duration
    • motion intensity

C) Review decisions (make approvals explicit)

  • [ ] “Approved for next step” (Yes/No)
  • [ ] Notes split into Must-fix vs Nice-to-have
  • [ ] If rejected: the single reason (avoid laundry lists)

D) Final deliverables (exports the client actually needs)

Pick the deliverables up front.

  • [ ] Master export (highest quality)
  • [ ] Delivery ratios (if required): 9:16, 1:1, 16:9
  • [ ] File naming convention:
    • Project_Direction_Version_Ratio_Date.ext
  • [ ] Thumbnail / poster frame

E) Usage + source notes (reduce risk)

  • [ ] Source list: what assets were used (client-provided vs generated)
  • [ ] Usage rights notes (if applicable)
  • [ ] If any sensitive identity is involved: proof of consent

A fast agency workflow (still → motion → client)

The point of this workflow is to keep feedback about motion, not re-open the concept.

AI video agency handoff workflow (process)
Lock start frame → iterate motion → review gate → export + handoff pack.
  1. Lock the start frame (treat it like a storyboard keyframe).
  2. Produce 3 motion drafts, one change per version.
  3. Run a review gate: pass/fail with one reason.
  4. Export only the winning direction(s).
  5. Deliver the handoff pack as a single folder + one-page summary.

Common handoff mistakes (and the fix)

Good handoff vs messy handoff (comparison)
A clean handoff pack cuts revision time and protects creative intent.

Mistake 1: delivering drafts without a start frame

Fix: include one approved still and treat it as the anchor for all feedback.

Mistake 2: too many versions

Fix: cap motion drafts at 3–5 per direction. More drafts = more confusion.

Mistake 3: changing multiple variables per version

Fix: change one variable so clients can learn what they’re approving.

Mistake 4: deciding aspect ratios at the end

Fix: pick the primary ratio first. Treat other ratios as a second pass.

Mistake 5: feedback lives in chat threads

Fix: move approvals into a single “review decisions” note that ships with the files.

FAQ

How many motion-control versions should I send to a client?

Typically 3–5 per direction. More versions usually reduces confidence and increases revision loops.

Do I need to include prompts or settings?

Include enough to reproduce the approved version: what changed each time and the key settings you adjusted.

What’s the fastest way to avoid “rewrite the brief” feedback?

Lock the start frame and write 3 reject conditions before motion drafts exist. Then review with pass/fail.

Where does Zorq AI fit in this workflow?

Use Zorq AI to pick a content direction (or generate a starting image if you have none), then iterate motion control and ship a clean handoff pack with your final exports.

Conclusion: ship a pack, not a pile

If you want faster approvals, fewer revisions, and cleaner creative decisions, don’t just send videos.

Send a handoff pack:

  • Start frame
  • Version log
  • Review decisions
  • Deliverables

Build your next motion-control draft in Zorq AI:

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