PDF Course + Discord · October 2026 Edition
Prompt Engineering for AI Video
Prompts for Veo 3 written from a template instead of by feel. 4 prompt templates, phonetic spelling of acronyms and numbers, 10 lip-sync rules, a multi-clip workflow, a checklist and a phrase dictionary. Plus a bank of 150 prompts across 35 industries and sample prompts for Runway Gen-4 and Kling. The English edition of the course (PDF, workbook, prompt bank) is in English.
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I know why your AI video prompts frustrate you
4 reasons your prompts are not producing what you imagine
You generate the same clip 30 times and it never quite lands
You type your idea and get a blurry, generic frame. You change one word and get the same thing with a slightly different detail. After a dozen attempts your credits are gone and one clip is barely publishable. Without a fixed prompt structure every attempt is a lottery.
You have no system, so every prompt is a fresh gamble
Every session starts from scratch. A prompt that worked last Tuesday gives you something different today, and you cannot say why, because you never wrote down what the working version contained.
You don't know how to describe camera movement, so you skip it
The model generates a static frame or an unwanted zoom nobody asked for. Without a described shot and camera move, your clip looks like 100 others built on the same idea, and the client asks 'can't it look like a TV commercial?'
Lip-sync sounds wrong and acronyms come out letter by letter
You paste dialogue in quotes and the model guesses the language, reads 'B2B' or 'AI' literally and gives the presenter the wrong accent. Without an explicit language line and phonetic spelling, spoken content falls apart.
Why this matters: AI video prompts are highly repetitive: most of every prompt is the same elements in the same order (format, person, location, setup, dialogue, style, closing instructions). That is why chapter 7 does not teach prompt writing from scratch. It gives you ready-made templates, rules and a phrase cheat sheet. Fill in, paste, generate. Start with the templates →
What you will learn about prompt engineering for AI video
8 things you get in the prompting part of the course
- 1 The script → prompt formula
Your 3-sentence script from chapter 5 becomes one element of the prompt. Chapter 7 walks through the full transformation on a physiotherapy example: 9:16 format, person, location, setup without timestamps, dialogue, style and DISPLAY NO TEXT.
- 2 An explicit language line and choosing the prompt language
Dialogue in quotes alone is not enough: the model often guesses the wrong language. An explicit instruction before the quote (for example ACTOR SPEAKS IN ENGLISH:, and the same works for other languages) switches the pronunciation. Plus the rule for when to write the whole prompt in English and when in the language of the dialogue.
- 3 Phonetic spelling of acronyms, numbers and abbreviations
Tables for 5 categories: English acronyms (AI, API, B2B, SEO, CEO, ROI and more), numbers, dates and years, hard proper names, local abbreviations, and currencies and symbols. Plus a list of what does not need phonetic spelling.
- 4 4 prompt templates, empty and filled in
Talking Head, Product Showcase (I2V from a real photo), Before/after in a single scene, and Silent video. Each as a fill-in version and a ready-to-copy example.
- 5 Multi-clip workflow
One actor, one location, one shot per clip. A longer video (15-30 s) is assembled from 2-4 separate clips joined in CapCut. It is also how you work around Veo 3's 8-second limit.
- 6 10 lip-sync rules with WRONG/RIGHT pairs
Setup before dialogue, dialogue under the language line, max 8 seconds of speech, phrases with pauses, close-up or medium shot, speaking to camera throughout, DISPLAY NO TEXT, emotional context, phonetic spelling, portrait 9:16.
- 7 Checklist, troubleshooting and phrase dictionary
10 points to check before clicking Generate, a table of the 5 most common problems with fixes, 5 safety-filter categories with rephrasing examples, and a phrase dictionary: scene setup, lip-sync, camera moves, visual style, closing instructions.
- 8 A bank of 150 prompts across 35 industries
A separate 48-page PDF: 10 universal prompts, 5 in-depth industries with 10 prompts each plus safety-filter notes and CTA variants, and 3 prompts for each remaining industry. Plus the full talking-head and B-roll templates.
Prompt anatomy from chapter 7
7 elements every prompt with dialogue should contain
In the course a prompt is an instruction for the model, not an essay. Every template in chapter 7 is built from the same elements in the same order, and your script is only one of them.
Format
'Vertical 9:16 video' at the start, because the videos go to TikTok, Reels and Shorts.
Person
Age, clothing, hair. Specific, not 'a young woman'.
Location
Clinic, garage, office, described concretely, e.g. 'professional clinic, white walls'.
Setup
Still first, eye contact, then speech. No timestamps.
Dialogue
Under the language line, in quotes, about 80-120 characters, phonetically spelled.
Style
Energy, gestures between phrases, light and camera shot. Phrases come from the dictionary.
Closing instructions
'Actor speaks directly to camera throughout' and 'DISPLAY NO TEXT'.
Next: captions
The script's CTA does not go into the dialogue. It goes into the captions you add in CapCut in chapter 8.
Course curriculum
What the course actually contains about prompting
Prompting is not a separate course. It is part of the full AI video course (a 168-page PDF, a workbook and a prompt bank). Most of the prompting material is in chapter 7, model choice is covered in chapter 6, and ready-to-copy prompts are in the bank. Below is what those parts actually contain.
Note on language: the English edition of the course (PDF, workbook, prompt bank) is in English. The Polish edition lives at kursvideoai.pl/kurs-prompt-engineering-video.
Chapter 7: From script to prompt, and phonetic spelling
Chapter 7- → The formula: [9:16 format] + [person] + [location] + [setup without timestamps] + [dialogue] + [style] + [DISPLAY NO TEXT]
- → Turning the 3-sentence script from chapter 5 into a prompt, worked through on a physiotherapy example
- → Prompt language: when to write in English, when in the language of the dialogue, and the explicit language line before dialogue
- → Phonetic spelling in 5 categories with tables: English acronyms, numbers and dates, hard proper names, local abbreviations, currencies and symbols
- → Diacritics and special characters: when to keep them and when ASCII transliteration is a workaround for Veo 3 Fast
Chapter 7: 4 prompt templates
Chapter 7- → Template 1: Talking Head, an avatar speaking to camera
- → Template 2: Product Showcase, image-to-video from a real product photo
- → Template 3: Before/after as a single scene with an in-frame transformation
- → Template 4: Silent video, no person and no dialogue
- → Every template as an empty version and a filled-in example
Chapter 7: Multi-clip workflow and 10 lip-sync rules
Chapter 7- → The rule: one actor, one location, one camera shot per clip
- → 4-step multi-clip workflow: split the script into scenes, generate separately, join in CapCut, add captions
- → Example: physiotherapy, 3 clips of 8 seconds = a 24-second video
- → 10 lip-sync rules with WRONG/RIGHT pairs: setup before dialogue, max 8 s of speech, phrases with pauses, close-up, DISPLAY NO TEXT, emotional context, portrait 9:16
Chapter 7: Checklist, troubleshooting and phrase dictionary
Chapter 7- → A 10-point checklist before you click Generate
- → Table of the 5 most common generation problems: cause and fix
- → Safety filter: 5 refusal categories and how to rephrase the prompt
- → Phrase dictionary: scene setup, lip-sync, camera moves, visual style, closing instructions
Chapter 6: Which model for which prompt
Chapter 6- → Veo 3 (model family), LTX 2.3 locally, Runway Gen-4 and Kling with sample prompts
- → 3 generation modes: T2V, I2V, lip-sync, and the rule of using I2V in 90% of cases
- → Decision tree and decision matrix: what you are making and which model to use
- → Moving prompts from Sora 2 to Veo 3 after 24.09.2026
Prompt bank: 150 prompts across 35 industries
Separate PDF, 48 pages- → Full prompt template (the canon from chapter 7): talking head and B-roll
- → Five in-depth industries (physiotherapy, car detailing, beauty, online courses, food service): 10 prompts each with safety-filter notes and CTA variants
- → 10 universal prompts for any niche, and 3 prompts each for the remaining 30 industries
- → Bank conventions (diacritics, phonetic spelling, character limit) and a guide to adapting a prompt to your own industry
Workbook: fill-in templates
Separate PDF, 12 pages- → 3-sentence script template with a quality checklist
- → Video prompt template (I2V talking head) with a 10-point checklist
- → 30-day plan and a results tracker for 30 videos
Guessing vs the chapter 7 templates
What changes when you write prompts from a template
Common mistakes compared with the rules the course applies to every prompt. These are not measurements and not a promise of a specific number of attempts, just a description of what you do differently.
| Parameter | Guessing | With the course template |
|---|---|---|
| Prompt structure | Every prompt from scratch | A fixed 7-element template |
| Spoken dialogue | The model guesses the language | Explicit language line before the quote |
| Acronyms, numbers, abbreviations | Read letter by letter | Phonetic spelling from the tables |
| Longer video | 3 scenes in one prompt, artefacts | One scene per clip, joined in CapCut |
| Text in the frame | The model adds captions itself | DISPLAY NO TEXT at the end of the prompt |
| Generation refused | Changing words blindly | 5 safety-filter categories with rephrasing examples |
| Check before sending | None | A 10-point checklist |
AI generation is probabilistic, so even a good prompt sometimes needs another run. The template and checklist remove the mistakes that most often ruin a clip before you spend credits on it. See also our full AI video courses hub.
Why prompt language and structure both matter
A good idea is not enough: structure is what the model actually reads
The course's view, from chapter 7: video models were trained mainly on English-language data, so English remains their default language. For English-language content you write the prompt in English. For videos with dialogue in another language, you write the whole prompt in that language, because the model then renders the local context of the scene better and the dialogue sounds more natural. You do not mix languages in one prompt.
The common mistake is treating a prompt like a creative brief for a human: "a warm, cinematic scene in a coffee shop." Too abstract, and the model fills the gaps with the most generic match. The chapter 7 templates force concrete fields instead: who the person is, what they wear, where they stand, how the scene starts, what they say, and what the frame must not contain.
The second layer is lip-sync. The model reads dialogue literally, so acronyms and numbers can come out letter by letter, and without an explicit language instruction the presenter may speak with the wrong accent. An explicit language line before the quote and phonetic spelling from the chapter 7 tables deal with both problems.
The third layer is the shot itself. A static, undirected frame rarely looks like a commercial. The phrase dictionary gives you camera moves and shot types to paste in, and the lip-sync rules tell you which shots keep the mouth readable (close-up or medium shot, not a wide shot).
Results in practice
See what the same tools produce
AI reels from our own TikTok and YouTube accounts, 352K views in total. The same tools and prompts the course teaches.
See the reels →About the author
Łukasz Kowalski, AI Video Course Creator
I have been creating AI video since 2024 and run my own AI reel accounts on TikTok and YouTube. The course templates grew out of my own generation notes in Veo 3, Runway, Kling, and LTX: I wrote the recurring patterns down as rules that shorten the path to a usable clip. More about the author →
Example from chapter 7
From script to finished prompt in 5 steps
This is how chapter 7 turns a 3-sentence script from chapter 5 (a physiotherapy clinic, storytelling type) into a Veo 3 prompt. The dialogue is written in the language of the target audience, and the rest of the prompt follows Template 1.
Step 1: The script
Three sentences: a hook, a provocation and a CTA, under 200 characters. This is what the avatar says, but the model needs more: a description of the scene, camera, light and style.
Step 2: Shorten the dialogue
Only the hook and the provocation go into the prompt, so the speech fits in about 8 seconds. The CTA goes into the captions you add in CapCut in chapter 8.
Step 3: Phonetic spelling
Check acronyms, numbers, abbreviations and symbols against the tables. Keep the original version for captions and the phonetic version for the prompt.
Step 4: Fill in the template
Vertical 9:16 video. Male physiotherapist (30s) in white polo, professional clinic background, natural lighting. He begins still, makes eye contact with camera, then speaks. AKTOR MÓWI PO POLSKU: "Ten ruch boli was co rano? To siedzenie 8h, nie wiek. W FizjoRuch Kraków pomożemy." Confident energy, animated gestures between phrases. Actor speaks directly to camera throughout. DISPLAY NO TEXT. No captions, no subtitles.
Step 5: Checklist and generation
Run through the 10-point checklist, paste the prompt into Kie.ai together with the avatar photo (I2V) and generate. Then listen to the audio without captions: do acronyms, numbers and names sound natural? If not, fix the phonetic spelling and generate again.
What next: a longer video is assembled from several such clips (the multi-clip workflow), and scripts for your industry come from the 150-prompt bank, pasted into the same template. Chapter 7 says plainly that the first video rarely comes out perfect, which is why you also get the checklist and the troubleshooting table. Get the course and templates →
Pricing
One payment. Lifetime access. The complete prompt engineering course.
Complete course
One-time payment, no subscription, no hidden costs
- ✓168-page PDF, including chapter 7 on prompting and chapter 6 on model choice
- ✓12-page workbook: script template, video prompt template with a 10-point checklist, 30-day plan
- ✓48-page prompt bank: 150 prompts across 35 industries plus 10 universal ones
- ✓Phonetic spelling tables: English acronyms, local abbreviations, numbers, proper names, symbols
- ✓Private student Discord
- ✓Lifetime access, withdrawal as per the Terms
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FAQ
Common questions about the AI video prompt engineering course
Which AI video tools are the prompts written for?
What language is the course in, and should I prompt in English?
How long does it take to learn?
Will these prompts work in Runway and Kling?
What is phonetic spelling and when does it matter?
What about camera movement?
What do I do when my first result misses the mark?
Do I need any technical background?
Do I get access right after purchase?
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Stop guessing prompts. Start writing them from a template.
You get the full course with its prompting chapter (4 templates, phonetic spelling, 10 lip-sync rules, checklist), the workbook and a bank of 150 prompts ready to copy. Withdrawal rules are set out in the Terms.
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