Learn how to plan, prompt, and edit vertical AI video for short-form feeds: hooks, shot lists, character consistency, sound design, and a repeatable workflow.
Start with the format, not the model
Most disappointing AI video results in a vertical feed are not model failures. They are planning failures. Someone opens a generator, types a beautiful cinematic prompt, gets a gorgeous 16:9 shot of a lighthouse at dusk, and then discovers it has nothing to do with the video they actually needed to publish.
The order of operations matters far more than which tool you pick. Format first, hook second, shot list third, generation fourth, edit fifth, sound sixth. When you invert that order — generating first and trying to build a story around whatever came back — you get clips that look impressive in isolation and feel incoherent when stacked into a 25-second video.
This guide walks through a working process for making short-form vertical video with an AI video generator, including the parts people skip: shot lists that survive a 9:16 crop, prompts that hold a character together across cuts, and the editing decisions that separate a usable clip from a throwaway one.
What AI video is genuinely good at in a vertical feed
Being honest about strengths and limits saves hours. In short-form vertical content, AI generation currently excels at:
- B-roll and texture shots. Rain on a window, steam off a coffee, a city at night from a moving car. These carry mood and cost minutes instead of a shoot day.
- Impossible or expensive locations. A rooftop in Tokyo, an empty desert highway, a laboratory that does not exist. No permits, no travel.
- Stylized characters and worlds. Animation-adjacent looks, painterly realism, retro film emulation — styles that would otherwise require a full art department.
- Product hero shots. A bottle rotating on a plinth with controlled lighting, generated in a dozen variations until one lands.
- Turning stills into motion. Animating a single image or blending several reference images into a moving scene.
- Rapid variation. The same scene with three different camera angles, two lighting moods, and four wardrobe colors, generated in the time it takes to storyboard one.
Where it still struggles: long synchronized dialogue, articulate hands doing fine work, complex multi-person choreography, precise on-screen text, and continuity across many shots without deliberate planning. The practical answer is not to avoid these — it is to route around them. Put dialogue in voiceover. Put text in your editor. Keep hands out of close-up. Plan continuity before you generate, not after.
Designing a shot list that survives the 9:16 crop
A vertical frame is tall, narrow, and partly covered. On most short-form platforms, the top of the screen holds navigation and the bottom holds captions, a username, and a call-to-action. The safe zone is roughly the middle 60–70% of the height. Anything critical placed at the extreme top or bottom will be hidden on someone's phone.
That constraint should be baked into your shot list, not fixed in the edit. For a 22-second vertical piece, a workable structure looks like this:
| # | Duration | Purpose | Framing note |
|---|---|---|---|
| 1 | 0.0–1.5s | Hook: motion + face or object | Subject centered, upper-middle |
| 2 | 1.5–5s | Establish context | Wider vertical, negative space at bottom for caption |
| 3 | 5–10s | Core action or product moment | Medium, subject slightly off-center |
| 4 | 10–14s | Detail / texture insert | Close-up, no critical detail at frame edges |
| 5 | 14–19s | Payoff or transformation | Return to the hook framing for closure |
| 6 | 19–22s | End card | Deliberate empty space for text overlay |
Every row in that table is a prompt you will write. The durations are targets, not laws — but writing them down forces you to ask "what is this shot doing?" before you spend time generating it. If a shot has no answer, cut it from the list.
A useful sanity check: sketch the six frames as rough rectangles on paper. If two sketches look identical, you have a redundant shot. If the sequence reads as a story in stick-figure form, the AI generation step becomes much easier.
Prompting for consistency across clips
Consistency is the hardest part of short-form AI video, because a feed rewards recognition. Viewers should feel they are watching the same person, product, or world for the full 20 seconds.
The five-part prompt
A prompt that holds together usually contains five things, in this order:
- Subject — who or what, with two or three identifying details (age range, wardrobe, material, color).
- Action — a single, physically simple verb phrase. One action per clip.
- Camera — shot size plus movement ("slow push in," "static medium shot," "handheld tracking from behind").
- Light and environment — time of day, quality of light, weather, background.
- Style and constraints — film emulation, lens character, color palette, plus what to avoid.
A concrete example:
A woman in her late twenties with short dark hair and a mustard linen shirt, walking toward a floor-to-ceiling window, static medium shot at chest height, soft morning light from the left, minimalist concrete apartment with one plant, muted warm color grade, shallow depth of field, no text, no logos.
Compare that to "beautiful woman in a cool apartment" and the difference in usable output is dramatic.
Lock the character with a reference image
The single biggest consistency upgrade is generating a character still first, then using it as a reference for every video shot. An AI image generator can produce a clean, front-facing portrait or product render in a style you like; that still becomes the anchor for the whole sequence. Change the camera angle in the prompt, not the person.
Two practical rules follow. First, keep the character description textually identical across prompts — same words, same order — so the only variable is the camera and action. Second, limit yourself to one wardrobe change per video. Audiences forgive a lot; they do not forgive a protagonist who becomes a different person between cuts.
Build a prompt library instead of retyping
After five or six videos, you will notice that your best results cluster around a handful of prompt patterns. Save them. A shared prompt library turns a one-off success into a repeatable asset, and it makes handing work to a collaborator far easier than explaining your instincts in a message.
A repeatable production workflow, end to end
Here is the sequence that consistently produces publishable vertical clips without endless regeneration.
Step 1 — Write the hook as a sentence
Before anything visual, write the one sentence a viewer would repeat. "I replaced my morning routine with a 90-second version" is a hook. "Morning routine" is a topic. Hooks drive shot choices; topics do not.
Step 2 — Draft the six-shot list
Use the table above as a starting shape. Name each shot by its function, not its content: hook, context, action, detail, payoff, end card.
Step 3 — Generate the anchor still
One image. Get the character, product, or world right at the still level before generating motion. If the still is wrong, every video clip built on it will be wrong too.
Step 4 — Generate in order of risk
Generate the hardest shot first. If the payoff shot cannot be produced convincingly, you need to know that before you have built five clips around it. Reorder the story rather than fighting a model on its weakest ground.
Step 5 — Generate two or three variations per shot
Never accept the first output. Two or three variations per shot give you edit options: one where the motion resolves cleanly, one with a better expression, one with cleaner edges. The cost of a variation is small; the cost of a reshoot is not.
Step 6 — Assemble rough, then refine
Cut the clips to the target durations with no transitions and no sound. Watch it twice. If the rough cut does not read, no amount of grading or sound design will fix it.
Step 7 — Finish: color, captions, sound
Only now do you match color between clips, add captions in the safe zone, and lay in audio. This order prevents polishing a structure that is about to change.
Sound and the first second
Short-form feeds are watched on mute first and with sound second. That means two jobs: the visual hook must work silently, and the audio must reward turning sound on.
For the silent hook, use motion. A cut, a hand entering frame, a door opening, a camera push — anything that changes the image within the first half second. A static shot, however beautiful, reads as a paused video and gets scrolled.
For the audio layer, three tracks do most of the work: a bed (music or ambient), a punctuating effect on each cut or reveal, and a voice. The voice can be your own recording, a synthesized read of your script, or no voice at all if captions carry the narrative. Keep music 12–18 dB under the voice so it sits underneath rather than competing.
One easily missed detail: generate or source room tone for each AI clip. Generated clips are often acoustically dead, and a thin layer of ambience — café murmur, wind, room hum — makes a synthetic shot feel filmed.
Editing decisions that save an AI clip
Most AI clips do not fail at second one; they fail at second four, when the motion drifts, a hand morphs, or the camera does something the prompt did not ask for. Editing is where you hide that.
- Cut on motion. End the clip while the subject is still moving, ideally mid-gesture. Motion masks imperfection and creates energy.
- Trim the tails. The last 10–15% of most generated clips is where artifacts accumulate. Cut earlier than feels comfortable.
- Use speed ramps as resets. A 0.5-second speed ramp into a cut disguises a continuity break between two clips that do not perfectly match.
- Match color deliberately. Generated clips drift in temperature and contrast. Apply one grade across the whole sequence, even a subtle one, so clips feel like the same camera.
- Add grain and a light vignette on the final export. A single texture layer unifies synthetic footage and hides small inconsistencies in sharpness.
- Place text in the editor, never in the prompt. On-screen text generated by a model is unreliable and often misspelled. Overlay it later where you control the font and the safe zone.
If you want a faster starting point, pre-built video templates can supply a structure — durations, pacing, caption placement — so you spend your time on content rather than on rebuilding the same timeline.
Common mistakes worth avoiding
- Prompting a whole story in one line. One clip equals one shot. Stories come from editing.
- Generating before writing the hook. You end up with footage looking for a reason.
- Ignoring the safe zone. Beautiful compositions destroyed by a caption bar.
- Changing the character description between prompts. Instant continuity collapse.
- Over-generating. Thirty clips for a 20-second video is usually a sign the shot list was vague.
- Skipping the rough cut. Polishing clip by clip without watching the sequence wastes effort on shots that get cut.
- No sound design. Silence makes even good generated footage feel unfinished.
When to generate and when to shoot
AI generation is not the right tool for every vertical video. A rough decision rule:
| Situation | Better choice |
|---|---|
| Real person delivering trust-based content | Shoot live |
| Product with specific physical details customers inspect | Shoot live, generate support shots |
| Concept, mood, or story-driven piece | Generate |
| Location or era you cannot access | Generate |
| Rapid A/B testing of many visual directions | Generate |
| Testimonial or documentary moment | Shoot live |
Many strong short-form accounts blend the two: live footage of the person talking, generated b-roll and transitions carrying the visual interest. That hybrid usually outperforms either approach alone, because it keeps the human anchor while removing the production cost of the cutaways.
Test, iterate, and keep what works
Short-form is a measurement discipline as much as a craft discipline. Track three things per video: whether viewers stay past the first two seconds, where they drop off, and whether they rewatch. A drop at second three usually means the hook sold something the second shot did not deliver. A drop at second twelve usually means the payoff arrived late.
Iterate one variable at a time. Same hook, new visuals. Same visuals, new hook. Same everything, faster pacing. Changing three things at once tells you nothing, and the temptation to "just try something totally different" is usually how accounts lose the thread that was quietly working.
Keep a simple log: hook line, shot count, generation style, and retention. After ten videos, patterns appear that no amount of theorizing produces. The workflow above exists to make those ten videos cheap enough to actually make.
FAQ
Do I need video editing experience to make AI short-form content? Not much. You need three skills: cutting to a rhythm, placing captions in the safe zone, and matching color between clips. Everything else is optional polish. An hour in any timeline editor covers the basics.
How many AI clips does a 20-second vertical video need? Typically five to eight cuts. Fewer feels static, more feels frantic. Many of those cuts are short — 0.8 to 1.5 seconds for a transition or detail insert.
Why does my character look different in every clip? Almost always because the description changed between prompts, or because no reference image anchors the generation. Fix the wording, generate an anchor still, and treat that still as the character.
Can I generate on-screen text directly? You can try, but results are inconsistent and often misspelled. Add text in the editor where you control the font, size, timing, and placement relative to platform UI overlays.
What aspect ratio should I generate in? 9:16 for the native vertical feed. Generate in vertical rather than cropping down from 16:9 — cropping a wide shot throws away the composition the model was actually optimizing for.
Is AI video good enough for brand work? For b-roll, concept pieces, and stylized sequences, yes. For product detail shots where accuracy is legally or commercially important, verify against real footage before publishing.
Make the next one in the next hour
A vertical video workflow is only useful if it is fast enough to repeat. Start with a hook sentence, sketch six shots, generate one anchor still, then build outward from the shot most likely to fail. Cut on motion, hide the tails, put your text in the editor, and give the whole thing a sound bed.
When you are ready to build, Orelon turns a written idea into cinematic motion in vertical or widescreen, with the option to start from a still, a template, or a saved prompt pattern. Browse the Orelon blog for more workflow breakdowns, or compare approaches on the alternatives page before committing to a pipeline. The best time to make the first clip is before the idea gets complicated.