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Lesson 4 of 13 · Module 2: AI Video Generation

Shot Planning for Text-to-Video

Generate one AI video shot that stays physically coherent for its full duration by planning around the model’s motion and duration limits instead of fighting them.

Pick: “I Tested Google Veo 3 for 4 days - 26 Failures And 1 Success

bytecodecrux · 7:56

Direct Veo 3 tool match. Shows real breakdown failures across many attempts against the one shot that stayed coherent, which is the exact “know where the line is” lesson this course teaches. Not a clean split-screen edit, but the raw material is there.

Objective

BehaviorGenerate one AI video shot that stays physically coherent for its full duration by planning around the model’s motion and duration limits instead of fighting them.
ConditionUsing a text-to-video tool (Veo is the default), one prompt describing exactly one subject action and one camera move, at the model’s standard single-generation length.
CriterionOn a single full-speed playback, the clip shows no major physical breakdown (limb warping, object morphing, impossible motion) anywhere in the shot, reached in 3 or fewer attempts, achieved by limiting the shot’s ambition rather than by regenerating the same overloaded prompt repeatedly.

Why This Matters

Text-to-video models are genuinely good at short, simple, single-action shots and they fall apart predictably on anything more ambitious. Knowing exactly where that line is, and writing to stay inside it, is a durable skill regardless of which model wins the next model war. The alternative, writing an ambitious multi-action prompt and regenerating it a dozen times hoping for a clean result, wastes far more time than planning the shot down to something the model can actually deliver.

The Technique

Current-generation text-to-video models share a set of real limits, and they’ll still be roughly true when the specific model names change. Generations are short (a handful of seconds per clip). They handle one clear subject performing one clear action, filmed with one clear camera move, far better than anything with more moving parts. Complex hand and finger work, fast interaction between multiple subjects, and physical contact (grasping an object, sitting down, hugging) are common weak points where models still visibly break down mid-shot.

Write the shot like a line from a director’s shot list, not a paragraph of scene description: subject, single action, camera move, pace, style. “A woman walks through a doorway, camera holds static, natural light, handheld feel” is a shot the model can execute cleanly. “A woman walks through a doorway, picks up a coffee cup, waves to someone off-camera, while the camera pushes in and pans left” is three actions and a compound camera move, and it will visibly blend or break partway through.

When a shot idea is too complex for one generation, the fix is not to keep regenerating the same overloaded prompt. The fix is to break it into two or three simpler shots and plan to cut between them, which is exactly the skill Lesson 6 builds on.

Watch For This

Good

  • One clear action, one clear camera move, no visible morphing or warping at any point in the clip.
  • The shot looks intentional and directed, not like a lucky single frame that degrades.

Classic Failure

  • A “kitchen sink” prompt with multiple actions and a compound camera move, where the model blends the actions into something incoherent by the midpoint of the clip.
  • Hands, fingers, or object-contact moments (picking something up, shaking hands) warp or vanish because that’s a known weak spot, and the fix attempted was “regenerate and hope” rather than removing the interaction from the shot.

Your Drill

Write one shot-list line naming a single subject, single action, and single camera move. Generate it, watch at full speed, and if it breaks down, simplify the line rather than regenerating it unchanged. Submit the final clip, your shot line, and the number of attempts it took.

Done? Paste what you made into the AI coach below for notes against this lesson's pass checklist.

Pass Checklist

Lesson complete

Criterion met: On a single full-speed playback, the clip shows no major physical breakdown (limb warping, object morphing, impossible motion) anywhere in the shot, reached in 3 or fewer attempts, achieved by limiting the shot’s ambition rather than by regenerating the same overloaded prompt repeatedly.

Next: Lesson 5: Image-to-Video: Directing Motion From a Still

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Coach Note

Your instinct will be to describe the scene the way you’d describe it to a person, with everything happening at once because that’s how real scenes work. Video models aren’t there yet. Cut your first draft shot line down to one verb. If you can find two verbs in your prompt, you’ve found your problem before you’ve spent a single generation on it.

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Resurfaces In

Lesson 5 (Image-to-Video), Lesson 6 (3-Shot Sequence), Lesson 13 (Capstone).