Everyone’s first AI videos have the same problems. Not similar problems — the same problems, in the same order, because the mistakes come from how the tools work, not from individual lack of talent. Here are the seven you’ll make, and exactly how to fix each one.
Mistake 1: Prompting vibes instead of shots
What it looks like: “cinematic beautiful amazing girl city night 8k” — and footage to match: generic, unfocused, vaguely pretty, saying nothing.
The fix: write prompts as shot descriptions answering six questions: subject, action, camera, setting, lighting, mood. “Low tracking shot of a courier in a yellow rain jacket sprinting down a rain-slicked alley, neon reflections, tense, photorealistic.” Structure beats adjectives. Full system: the prompting guide.
Mistake 2: Skipping planning entirely
What it looks like: fifty generations, no two shots matching, a “story” that’s random clips in sequence, and an empty credit balance.
The fix: storyboard first — one sentence of story, a shot list, reference images for characters and locations — then generate. Planning is free; generations aren’t.
Mistake 3: Expecting consistency without references
What it looks like: the protagonist’s face changes every shot. The jacket changes color. The “same” location looks different each time.
The fix: models have no memory between generations. Anchor everything with reference images: one clear character photo used for every shot, identical description wording copy-pasted across prompts. Techniques: character consistency guide.
Mistake 4: Multiple actions per prompt
What it looks like: “she walks to the window, opens it, looks out, then turns and smiles” produces a morphing mess where all four actions melt together.
The fix: one action per shot, always. Four actions = four shots. This single rule eliminates the largest category of AI video glitches.
Mistake 5: Publishing raw generations
What it looks like: clips with wobbly first seconds, flicker, and dead silence uploaded as-is.
The fix: generated clips are raw material. Trim the glitchy edges, cut for pacing, add sound design, color grade for unity. The editing workflow turns generations into videos. Nobody’s raw output is publish-ready — not yours, not anyone’s.
Mistake 6: Ignoring audio
What it looks like: total silence, or music slapped on at full volume drowning everything.
The fix: every video needs at minimum an ambience bed and ducked music; ideally spot SFX on visible actions. Sound sells reality — see the sound design guide. Test your mix on phone speakers.
Mistake 7: Chasing the newest tool instead of learning one
What it looks like: a new model drops, you switch, your prompting knowledge resets, repeat monthly. Perpetual beginner.
The fix: pick one generator that fits your work (see the comparison) and learn it deeply for at least a month — its quirks, its strengths, its failure modes. The prompting structure, planning habits, and editing skills transfer everywhere; tool-hopping resets everything.
The pattern underneath
Notice what these fixes have in common: none of them is “use a better tool.” They’re all craft — planning, structure, references, editing, sound, focus. The tools will keep improving on their own. Your job is the part no model does for you: directing.
Start here: pick the mistake you’re making right now, fix only that one, and make your next video. Then fix the next. In seven videos, you’ll be unrecognizable as a beginner.