Example project 01 · AI Evaluation

Same prompt. Only one is usable.

Two clips generated from one prompt, watched end to end and scored against a rubric the client sets. They agree on four criteria out of seven and part company on three. In a thumbnail both look fine; against the rubric, one of them falls apart.

  • Video review
  • Scoring rubric
  • Human reviewers
  • Side by side
The prompt

“A photorealistic golden retriever is standing in a green grassy park on a sunny afternoon. The dog is positioned approximately in the centre of the frame. A red tennis ball is thrown gently from off-camera on the right.”Both clips were generated from this single prompt. It asks for one ball, thrown once.

The rubric · 7 criteria, scored 1–51 very poor · 3 acceptable · 5 excellent
  1. 01

    Prompt adherence

    How accurately does the video follow the original prompt?

  2. 02

    Visual quality

    Sharpness, lighting, composition, textures, overall appeal.

  3. 03

    Temporal consistency

    Are objects, characters and backgrounds consistent throughout?

  4. 04

    Motion realism

    Are movements, transitions and physical interactions believable?

  5. 05

    Artefact and defect detection

    Glitches, distortions, flickering, morphing, duplication.

  6. 06

    Scene coherence

    Does the sequence hold together from beginning to end?

  7. 07

    Overall generation quality

    How polished, professional and usable is the output?

Yours to set

This rubric is an example, not a fixed list. Yours is agreed with you before any reviewing starts: add criteria, drop them, reword them, weight the ones that matter, and set the score that counts as a pass. Brand compliance, accessibility, likeness, safety — whatever your output has to satisfy.

Side by side

The two candidates.

Same prompt, same model, same settings. Press play on either one.

Video A10s · 1280 × 720

Clean generation

31/35

No faults found beyond a quiet background

Follows the prompt. Physics hold, movement and anatomy are correct. A few small inconsistencies around the ball. The background is plain and unnaturally quiet.

Video B20s · 1280 × 720

Defects present

25/35

Duplicated objects and broken motion

Follows the prompt. Motion glitches throughout and the ball’s physics are wrong. The dog shows anatomical defects while moving. Multiple balls appear.

CriterionVideo AVideo BGap
01Prompt adherence55—
02Visual quality55—
03Temporal consistency55—
04Motion realism42−2
05Artefact and defect detection31−2
06Scene coherence55—
07Overall generation quality42−2
Total31/3525/35−6

Scores are from the review of these two clips, not an estimate. Four criteria are identical; motion realism, artefacts and overall quality separate them by two points each.

The evidence

Why Video B lost six points.

Every score traces back to something a reviewer can point at, with a timestamp.

One ball on the grass at 9.9 seconds09.9s
Three balls half a second later10.4s

Half a second apart

One ball on the grass. Half a second later the dog is holding a ball, the first is still lying there, and a hand holding a third enters at the right edge. The dog has not moved.

Criterion 05 · scored 1

Two balls on the grass at once13.4s

Two balls, one throw

Both balls sit on the grass at the same time, three seconds after the duplication first appears. Nothing in the prompt introduces a second ball.

Criterion 05 · scored 1

Only visible in motion

Two further faults do not show in a frame. The ball’s bounce does not follow from its fall, and the dog’s rear legs pass through each other as it turns.

A still cannot carry either one. Both were marked while watching the clip, which is why video review is done by a person rather than a frame checker.

Criterion 04 · scored 2

What you get

Four things, every run.

The rubric

Your criteria, written down plainly enough that two reviewers reach the same verdict.

A score per criterion

Every output rated 1–5 on each line, with the totals and the gaps between candidates.

The evidence

Timestamps and frames for each fault, so a score can always be traced back to what was seen.

A plain verdict

Which outputs are usable, which are not, and the faults worth fixing upstream.

A pair makes the method easy to see. The same rubric runs across a batch of hundreds, with the same scores, the same evidence and the same reviewers.

Next step

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