AI video script writing has a reputation problem. Ask most tools to write a script and you get something that sounds like it was written by a committee that has never met a human presenter — overlong sentences, awkward transitions, and that unmistakable cadence where every paragraph ends with “let’s dive in.” The problem is rarely the AI. It’s the template underneath it. Choco Media writes scripts weekly for clients across Reels, TikTok, YouTube Shorts, and brand explainers, and what we’ve learned is this: the template you feed the model determines whether the output is usable or not.
This post is for marketing teams, content managers, and founders who are already using AI for content but keep ending up with scripts that need a total rewrite before anyone would feel comfortable reading them on camera. We’re going to share the exact template structures we use — the fields, the tone markers, and the directorial notes that give the model enough context to produce something a real presenter can actually deliver.
You’ll leave with five copy-paste templates covering the most common short-form formats, plus a set of rules for populating them without making the AI slip back into robot mode.
Why AI video scripts fail before the model even sees your prompt
Most AI script prompts look like this: “Write me a 60-second Instagram Reel script about [topic] for [brand].” The model obliges. It produces something structurally correct but tonally hollow — because the prompt gave it no frame for how the presenter actually speaks, what energy level the platform expects, or what the viewer is doing when they encounter this content.
Short-form video is a high-context format. The words are only part of what makes a script work. The pauses matter. The sentence length tells the presenter when to breathe. The word choice signals register — whether this is conversational, authoritative, warm, or punchy. A script template that doesn’t encode these signals will produce output that reads fine on paper and falls flat on camera.
- Missing energy cues: the model defaults to a mid-energy register that’s neither energising nor calming — just neutral, which reads as flat.
- No sentence-length discipline: AI naturally writes in full, balanced sentences. Short-form video requires short bursts, fragments, and rhythm breaks.
- No scene direction: without B-roll notes or action cues, the editor has nothing to work with and the presenter has no visual anchor.
- Generic hooks: the model writes “Have you ever wondered…” because that pattern is overrepresented in its training data. It performs poorly now.
The fix isn’t a better model. It’s a better input structure.
The anatomy of an AI-ready video script template
A template that AI can populate reliably has six components. Each one does specific work.
1. Format field
Tell the model exactly what it’s writing: “60-second vertical Reel, talking-head format, no B-roll.” This prevents it from writing for the wrong container — a 60-second YouTube explainer script is completely different from a 60-second Reel hook.
2. Presenter voice descriptor
Two to three sentences describing how the presenter speaks: pace, register, characteristic phrases, things they’d never say. “Toni speaks in short, direct sentences. She doesn’t use qualifiers. She occasionally pauses mid-point to let something land.” This is the single highest-leverage field in the template — it anchors every word choice.
3. Platform energy note
Each platform has a different viewer posture. TikTok viewers are scrolling fast — you have about 0.8 seconds before the swipe. YouTube Shorts viewers are slightly more tolerant of a build. Reels in-feed are somewhere between the two. Encode this in the template so the model calibrates sentence length and hook intensity accordingly.
4. Scene direction markers
Use brackets to signal B-roll moments, on-screen text, and pauses: [pause], [cut to: screen recording], [text on screen: key stat]. Ask the AI to populate these alongside the spoken words. Editors love templates that have this already built in.
5. Hook type instruction
Specify the hook pattern. “Open with a counterintuitive statement” produces different output than “Open with a problem statement the viewer already has.” Giving the model a category — question, statement, stat, story — dramatically improves the first line quality.
6. CTA constraint
Short-form CTAs that work are never more than one ask. Tell the model: “End with a single CTA, maximum 10 words, no ‘smash the like button’ language.” This prevents the model from defaulting to a listicle of asks at the end.
The template doesn’t constrain the AI — it constrains the noise. Every field you leave undefined is a field the model fills with its training-data average, which for video scripts is exactly the content you’re trying to avoid.
Template 1: the single-insight Reel (60 seconds)
This is the highest-volume format for most brands. One idea, one proof point, one CTA. The model reliably populates this when you give it enough specificity on the hook type and the insight.
FORMAT: 60-second vertical Reel, talking-head, one cut mid-way
PRESENTER VOICE: [describe in 2-3 sentences]
PLATFORM: Instagram Reels, in-feed
HOOK TYPE: counterintuitive statement
TOPIC: [the single insight in one sentence]
PROOF POINT: [one data point, example, or "in client work we've found..."]
SCENE NOTES: [cut point, any on-screen text]
CTA: [single action, max 10 words]
SCRIPT STRUCTURE:
[HOOK — 1-2 sentences, max 15 words total]
[pause]
[SETUP — expand the insight, 3-4 sentences]
[cut]
[PROOF — the example or data point, 3-4 sentences]
[on-screen text: key takeaway]
[CTA — single ask]
- Total spoken word count target: 120-140 words for a natural 60-second delivery at conversational pace.
- The
[pause]after the hook is intentional — it tells the presenter to let the opening land before moving on. - Ask the AI to produce three hook options and pick the one that doesn’t start with “Did you know”.
Template 2: the quick tutorial (45-90 seconds)
Tutorial content is the highest-retention format on short-form. Viewers who came to learn something will watch to the end. The challenge is that most AI-generated tutorials either go too fast (step labels without context) or too slow (too much preamble before the first step).
FORMAT: [45/60/90]-second vertical [platform], talking-head with screen recording
PRESENTER VOICE: [describe]
TOPIC: how to [specific task in under 10 words]
OUTCOME: viewer will be able to [specific capability] by the end
STEPS: [3-4 steps max — list them]
SCENE NOTES: [when to cut to screen recording, when to return to talking head]
CTA: [follow for more / link in bio / comment X for template]
SCRIPT STRUCTURE:
[HOOK — name the outcome the viewer will get, 1 sentence]
[STEP 1 — label + single sentence of context]
[cut to screen recording]
[STEP 2 — label + single sentence]
[STEP 3 — label + single sentence]
[return to talking head]
[PAYOFF — reinforce what they just learned, 1-2 sentences]
[CTA]
- Keep steps to three wherever possible. Four is the limit before viewers drop off.
- The hook should name the outcome, not the topic. “Here’s how to build a content calendar in 10 minutes” outperforms “Today I’m going to show you content calendars”.
- Our AI content creation service consistently shows that tutorial hooks with a time promise (“in 10 minutes”, “in 3 steps”) lift completion rate.
Template 3: the opinion hook (30-60 seconds)
Opinion content drives the highest comment volume on short-form — which is the metric that signals to algorithms that the content is conversation-worthy. The structure is deliberately confrontational at the opening and earns the nuance later.
FORMAT: [30/60]-second vertical [platform], talking-head
PRESENTER VOICE: [describe — this format especially requires a strong voice descriptor]
HOOK TYPE: strong opinion statement the audience might push back on
OPINION: [state the position in one clear sentence — no hedging]
EVIDENCE: [why you hold this opinion — from experience, data, or observation]
CONCESSION: [the thing you'd grant to someone who disagrees — makes the presenter credible]
CTA: [comment-oriented — "tell me if you disagree" / "drop your take below"]
SCRIPT STRUCTURE:
[HOOK — the opinion as a declarative statement, max 12 words]
[pause]
[EXPAND — the "here's why" in 3-4 sentences]
[EVIDENCE — the specific thing that convinced you]
[CONCESSION — 1 sentence acknowledging the counterargument]
[CTA — invite disagreement or share]
- The concession sentence is the most important part of this template. Without it, the script reads as arrogant. With it, the presenter sounds considered rather than reactionary.
- Tell the model: “Do not hedge in the hook. The opinion should be stated as fact. The nuance comes later.” Otherwise it will soften the opening and kill the hook.
- Pair this with our guide to AI for short-form video if you’re building out a full Reels or TikTok workflow.
Template 4: the brand story (60-90 seconds)
Brand story content on short-form is chronically underused. Most brands save narrative for long-form. But a well-structured 75-second story about why the company does what it does, or a behind-the-scenes moment that explains a product decision, can be among the highest-performing content in a feed. The challenge is that AI defaults to corporate founding-story prose — which is exactly wrong for this format.
FORMAT: 60-90 second vertical [platform], talking-head [or voiceover over footage]
PRESENTER VOICE: [describe — warm and personal, not pitch-y]
STORY TYPE: [origin / decision moment / failure + lesson / customer moment]
STORY BEAT 1 (scene): [set the moment — where, when, what was happening]
STORY BEAT 2 (tension): [what the problem or challenge was]
STORY BEAT 3 (turn): [what changed — the decision, the insight, the result]
STORY BEAT 4 (meaning): [what this says about how the brand operates]
CTA: [soft — follow / save / share with someone who needs to hear this]
SCRIPT STRUCTURE:
[OPENING — drop into the scene immediately, no preamble]
[BEAT 1 — context in 2-3 sentences]
[BEAT 2 — the tension, without dramatising it]
[BEAT 3 — the turn, told plainly]
[BEAT 4 — the meaning, 1-2 sentences max]
[CTA — soft and conversational]
- Instruct the model: “Begin in the middle of the scene. Do not open with ‘I want to tell you a story about…’ or any variant.”
- The meaning beat is where brands over-explain. One sentence is almost always enough. Two sentences is the limit.
- This template pairs naturally with brand positioning work. If your brand voice isn’t yet defined on paper, our brand voice document guide walks through the process.
Template 5: the problem-solution hook (60 seconds)
This is the workhorse format for service businesses and B2B content. It names a pain the viewer already has, empathises briefly, and then offers a clear frame for solving it. The AI video script writing challenge here is preventing the model from turning the solution section into a feature list.
FORMAT: 60-second vertical [platform], talking-head
PRESENTER VOICE: [describe]
PROBLEM: [state the viewer's problem in the viewer's own language — not marketing language]
EMPATHY NOTE: [the specific thing that makes this problem frustrating — optional but valuable]
SOLUTION FRAME: [the 1-2 step approach, not a product pitch]
PROOF: [one specific example or result — "we typically see..." or "in client work..."]
CTA: [follow / link in bio / comment for the template]
SCRIPT STRUCTURE:
[HOOK — name the problem as the viewer would state it, not as a brand would]
[EMPATHY — 1 sentence that shows you understand why it's frustrating]
[REFRAME — introduce the solution approach, not the solution itself]
[STEP 1 of solution — single sentence]
[STEP 2 of solution — single sentence]
[PROOF — the specific thing that makes this credible]
[CTA]
- The single most important instruction for this template: “Write the hook in the first person from the viewer’s perspective, not from the brand’s perspective.” Output like “If you’re spending three hours a week on something that should take 20 minutes…” dramatically outperforms “We help businesses save time on…”.
- Keep the solution frame to two steps maximum. More than two and the model will start writing a listicle, not a script.
- For teams running paid social alongside organic, our paid media service covers how these problem-solution hooks translate into ad creative.
Rules for populating templates without losing the voice
The templates above work when they’re populated correctly. Here’s what that means in practice.
Be specific in every field — no generic descriptors
Presenter voice fields that say “friendly and professional” produce generic output. Fields that say “speaks in short sentences, uses the word ‘actually’ to signal a pivot, never uses ‘journey'” produce specific output. The more concrete the descriptor, the less the model reverts to training-data average.
Give the AI three options to choose from, not one instruction
For the hook specifically: ask the model to produce three variants — one question, one statement, one stat-led — and choose the best performer manually. This takes 30 seconds and dramatically reduces the chance of shipping a weak opening.
Flag the words that are off-brand
Add a “NEVER USE” line to every template: the specific words and phrases the presenter would never say. Include platform-specific overused phrases. The model will avoid them reliably when they’re explicitly listed.
- Common never-use list for B2B brands: “game-changing”, “leverage” (as a verb), “circle back”, “synergy”, “at the end of the day”.
- Common never-use list for consumer brands: “innovative”, “passionate”, “disruptive”, “excited to announce”.
- Add brand-specific phrases based on what your presenter actually never says out loud.
Keep the edit loop short
A well-populated template should produce a script that needs one pass of editing, not a rewrite. If you’re rewriting more than 30% of the output, the problem is almost certainly in the presenter voice field or the hook type instruction — those are the two highest-leverage inputs. Fix the template, not just the output.
What to do when the script reads right but sounds wrong
There’s a class of AI script output that passes a read-through but fails when someone actually reads it aloud. The sentences are grammatically fine, the structure is correct, but something feels stilted when spoken. This is usually a sentence-length problem. AI tends to write balanced sentences with similar rhythms. Natural speech is uneven — short bursts followed by longer contextual sentences, followed by a short payoff.
The fix: add a rhythm instruction to your template. “Alternate between short sentences (under 8 words) and longer sentences (12-18 words). Every third sentence should be under 6 words.” This sounds mechanical but the output it produces is markedly more natural when spoken.
- Read every script aloud before sending it to the presenter. Problems that survive a read-through almost never survive a read-aloud.
- Record a rough voice memo of yourself reading it. Listen back at 1.25x speed — this surfaces the flat moments faster than a normal playback.
- Flag the sentences where you naturally pause mid-read and add a
[pause]marker. These are the moments where the presenter needs permission to breathe.
If you’re building out a full AI content production workflow — from brief to script to published post — our contact page has details on how we work with content teams. The templates above are a starting point; the real leverage comes from systematising the brief-to-output process across your whole content calendar. Video script templates are one piece of that system. Get the structure right and AI video script writing becomes a 20-minute task rather than a 2-hour one — with output your presenters will actually be willing to read.