We teach your team to make AI video

Seven days. Sixteen hours of hands-on work, in your office. Your team leaves with one way of working they can repeat. Topic, script, storyboard, anchored frames, generation, edit) that plugs into the content pipeline you already run and survives every model upgrade.

7 daysStart to handover
16 hrs4 sessions of 4 hours
3Specialists: AI, editing, video
1Workflow your team owns

Brands and channels we’ve worked with — across channel management, production, campaigns and collaborations. Subscriber counts belong to the channels, not to us.

Heartfulness channel iconHeartfulnessPansari Group channel iconPansari GroupPot and Bloom channel iconPot and BloomHome Banao channel iconHome Banao — a channel we ownAtomberg channel iconAtombergPanasonic India channel iconPanasonic IndiaAnmol Garg channel iconAnmol GargTherrapie Healthcare channel iconTherrapie HealthcareSanjay Sehgal (SehgalNotes) channel iconSanjay Sehgal (SehgalNotes)Bosch India channel iconBosch IndiaFanzart channel iconFanzart
Little Parva PreschoolTMKAS Industrial SolutionsNavera VenturesKarnataka Metal CorporationNovelAireLavenDr Jagat Shah

Your team does not have an AI problem. It has a process problem.

Most teams have already tried. Someone opened Veo or Runway. They typed a paragraph. They got eight seconds of something almost right. They tried again and got something else. The slide at the next meeting said "AI video: promising, but not consistent." That is a fair verdict. It is what happens when you prompt, hope and re-roll. It says nothing about what the tools can do when there is a process around them.

The way that works is simple, but you must stick to it. Pick the topic first. Write the script. Draw the shots. Turn those drawings into images. Then fix every shot with a first frame and a last frame. Add a middle frame if the cut needs one. Then prompt only the movement in between. Generation stops being a lottery because you have already decided what the shot looks like at both ends. The edit stops being a rescue and becomes assembly. And because the boards and frames are the asset, the workflow is model-agnostic — plug it into any API, and when a better model ships next quarter you rerun the same boards instead of starting over.

This course puts that method into your team in seven days. It is the one we use ourselves. It is not a tour of tools. It does not depend on one vendor still being the best one in six months.

The way of working we teach

Six steps, in this order, every time. Steps one to four are the thinking. Step five is where you take control. Step six turns it into a finished video.

Freeze the topic

Decide this before you open any tool. Who is it for? What one thing must it say? What kind of video is it? And where it publishes. Written down as a brief your team already recognises.

Script it

The script comes out as a shot list, not paragraphs. What is said. What is seen. How long each bit runs. Your brand voice and claim rules are applied here, where they are cheap to enforce.

Visualise the storyboard

Shot by shot, on a whiteboard or a doc. The framing. The camera move. How long it runs. How one shot leads to the next. This is where a video person earns their pay. It is also where most AI-only teams skip straight past.

Build the storyboard with image models

Each drawing becomes an image. Same faces, same products, same places, held steady by reference images. Your bosses approve these images here, before a second of video is generated.

Anchor the frames, prompt the motion

You set the first frame and the last frame. You add a middle frame if the cut needs one. Then you say what happens between them. You pick a model per shot for what that shot needs. Batches run through the UI or the API.

Edit, sound, package, publish

Edit, voice, music, colour, brand packaging and the AI label. Check it against the drawings. Then publish it your normal way. Because the ends of every shot were known, the cuts land.

First frame
Prompted motion
Transition frame
Prompted motion
Last frame

You decide the solid frames. The model only fills the dashed ones. That is the whole trick.

Control

Your team decides the framing, the flow and how the product looks. The model does not get to guess.

An easier edit

Shots cut together because both ends were planned. Editors assemble and grade instead of hunting for a usable second.

Model-agnostic

The drawings and frames are what you own. Point them at any model. When a better one arrives, run the same drawings again.

Reviewable

Approvals happen early, on the drawings. Legal and brand sign off there, not on a finished video nobody wants to redo.

What your team will make

The same method works for a quick phone clip and for a brand film. Only the planning per shot changes.

Volume

UGC-style social clips

Quick product clips for Shorts, Reels and paid social. Fast to make. Many versions. One template reused across products and markets.

Explanation

Explainers & presenter hybrids

A real presenter or voice-over, with AI b-roll behind it. Diagrams that move. Scenes that used to need a shoot.

Campaign

Product & campaign ads

Hero shots and camera moves around a product that stays the same in every frame. Tested as drawings before you spend money.

Cinematic

Brand & cinematic films

Longer sequences that flow, with real camera language and colour work, built shot by shot. This is where the video specialist matters most.

Where AI still loses, and what to do about it. Legible on-screen text, hands, long continuous action and exact product geometry remain unreliable. We teach your team to spot those shots early, at the drawing stage. Then send them to real footage, 3D or something simpler. Instead of losing two days re-rolling a shot that was never going to work.

Seven days. Four sessions. Your work, not ours.

Three specialists work with your team. One for AI models and prompts. One for editing, sound and packaging. One for framing, camera language and what to shoot rather than generate. Every session runs on real briefs from your calendar.

1

Topic, script, storyboard

Session 1 (4 hrs): freezing topics, scripting as shot lists, visualising boards on your own briefs.

2

Boards & frames

Session 2 (4 hrs): image models, character and product consistency, style locks, designing first, last and transition frames.

3

Generation

Session 3, four hours. Prompting the movement between frames. Picking a model per shot. Running batches.

4

Edit & publish

Session 4 (4 hrs): assembly, voice and music, grade, brand packaging, disclosure, QA against the boards, publishing.

Day 1Discovery

Set up around your pipeline

We look at how work moves through your team today. We pick the real jobs the sessions will use. We choose the tools and set up accounts before anyone sits down to learn.

Days 2–54 sessions × 4 hours

The 16 hands-on hours

Four sessions, one a day, in your office or live online. Every session ends with something made, not just explained. By session four your team has finished work built end to end with the workflow.

Day 6Solo run

Your team runs it without us

One job, start to finish, run by your team. We watch and comment. Gaps show up here, and we fix them while we are still there.

Day 7Handover

Playbook, library, next steps

You keep the written method, the prompt and frame library you built, the tool list with reasons, and a plan for what to make first.

Priced for your team and your work

The price depends on group size, on-site or online, the videos you make and the languages you use. So there is no fixed rate here. Talk to us and we come back with a scoped proposal and the day-by-day outline. No lock-ins, and everything built in the sessions is yours.

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Nikhil Bhansali and Kishore Babu T, co-founders of Onewrk
Nikhil Bhansali and Kishore Babu T, co-founders of Onewrk, Bengaluru.

We teach what we do ourselves

We are two partners in Bengaluru who run video and YouTube every week. We have worked on channels like Heartfulness and Pot and Bloom. We own and run Home Banao ourselves.

The method we teach is the one we use. We built it to survive new models, because new models arrive every month.

You can see how we think before you commit. We publish free teardowns of real channels on our teardown channel. Or ask for a teardown of your channel.

Not sure what to make yet? Buy an hour of help first. Need a room to film in? See studio setup.

Common questions

The people who own topics, scripts, visuals and edits. Brand and content managers. Writers. Designers. Video editors. Whoever runs your channels. It works best as a mixed cohort from one company, because the workflow hands off between exactly those roles. Nobody needs a video background; they need to be the people who will actually publish afterwards.
We work with the current image and video models. Veo, Kling, Runway and Higgsfield for movement. And the leading image models for storyboards, and we choose per shot rather than standardising on one vendor. More important than the tool list is that the workflow is model-agnostic: your boards and anchored frames stay the same, so when a better model ships you rerun the process, you do not relearn it.
Sixteen hours is enough to install one workflow and have your team run it end to end on your own briefs, which is what the program is designed to do. It is not enough to make anyone a filmmaker, and we do not claim it is. Your team leaves with finished pieces made in the sessions, a written playbook, a prompt and frame library and a tool-stack decision, and the days around the sessions are used for setup and a supervised solo run so the habit sets in.
Not before the discovery day. Part of that day is deciding the stack you actually need for the formats you make, so you buy the seats you will use rather than a wishlist. Where a tool has an API, we show your team how to run the same workflow through it, which matters once volume grows.
Done with control, it produces UGC-style social clips, product and campaign shots, explainer b-roll and multi-shot brand sequences that hold up under brand review. It still struggles with legible on-screen text, hands, long continuous action and exact product geometry. We teach your team to recognise those shots early and route them to live footage, 3D or a simpler treatment instead of burning days re-rolling.
The workflow moves approval upstream to the storyboard, so stakeholders sign off on boards before anything is generated. We cover platform disclosure rules for synthetic content, how tool licences treat commercial use and outputs, and how to keep brand assets, likenesses and third-party material out of prompts unless you hold the rights. Your existing approval gate stays where it is; it just gets a better artefact to approve.
Either. Our specialists come into your office for the four sessions, or run them live and remote with your team in one room; the format is set on the discovery call. Engagements are scoped to your team size, formats and markets, so there is no rate card on this page. Book a strategy call and we will send a scoped proposal with the day-by-day outline.

Get your team making AI video in seven days

Tell us what you make, who is on the team and when you are free. Nikhil plans it with you on one call.

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Book a strategy call

Tell us about your team and the video you need to make. You get a plan in one working day. No sales deck.

Prefer to pick a time? Book a call directly.