AI video production: process and timeline
Best for Founders planning backwards from a launch date who want to know what each production stage involves.
By Laza · October 16, 2026
“AI video production” covers two very different things. One is typing a prompt and getting a clip. The other is making a launch video for a real product, where AI tools speed up parts of a normal production. This note is about the second one: the process, where AI fits, and what decides how long it takes.
The stages
A launch video still goes through the same stages it always did. AI changes how long some of them take, not whether they exist.
- Brief. What you are launching, when, who the video is for and where it will live. For us that place is X, so the brief includes the post and the launch day plan.
- The line and the script. The one sentence the video proves, then a script built around it. Our startup launch video script template is a good starting point.
- Capture. Real product footage: clean screen recordings, the product on real data, and any people on camera.
- Generation. AI generated shots for what you cannot film: b roll, environments, abstract visuals for an explainer opening.
- Edit, voice and sound. Assembly, captions, voiceover, music and sound design.
- Finishing. Upscaling, cleanup, color, and exports for each placement.
- Cutdowns and launch. Short cuts for replies, quote posts and ads, then the post itself.
What the AI tools can do today
The limits matter, because they decide how a generated shot fits into an edit. Every number below comes from the vendor’s own documentation, read in October 2026; these change often, so check before you plan around them.
- Google Veo 3.1 generates clips of 4, 6 or 8 seconds at 720p, 1080p or 4K and 24 fps, according to Google Cloud’s Veo 3.1 docs. The Gemini API guide says Veo videos can be extended by 7 seconds up to 20 times, to a combined 148 seconds, with natively generated audio, and that Veo output is watermarked with SynthID.
- OpenAI Sora 2 is a reminder that tools come and go: OpenAI’s video generation guide now says the Sora 2 models and Videos API were shut down on September 24, 2026, with no one to one replacement. Build your pipeline so no single model is a dependency.
- Runway Gen-4.5 generates text to video and image to video at durations from 2 to 10 seconds through Runway’s API, per its API documentation. Runway’s Gen-4 research page describes generating consistent characters, locations and objects across scenes from a single reference image.
- Adobe Premiere Pro made Generative Extend, powered by the Firefly Video Model, generally available with 4K and vertical video support, per Adobe’s announcement. PetaPixel reports it adds up to two seconds of footage and audio to a clip.
- ElevenLabs dubs video into more than 90 languages while keeping each speaker’s timing and tone, per its dubbing docs.
- Descript lets you edit video by editing the transcript, including cutting filler words in a click.
- Topaz Video upscales footage to 4K and interpolates frames.
Read those limits together and the shape of AI video production is clear: generated shots are short. A 60 second launch video is an edit of many short shots and real footage, not one long generation. Extensions exist, but every extra second is another chance for drift, so most of the work is still choosing, cutting and fixing.
Where AI saves the most time
- Shots you could not film. Environments, abstract metaphors for an explainer opening, product in context.
- Variants. Several openings for the same video, vertical and square cuts, localized voiceovers.
- Cleanup. Removing filler from founder talking head footage, extending a shot that ends a beat too early, upscaling an old screen recording.
Where it does not
- Your product. The interface has to be real. Generated UI is a fast way to lose trust on X, where people will compare it to the real thing.
- The idea. No tool writes the one line your launch hangs on.
- Review. Every generated shot needs human review for artifacts, and some need several attempts.
Provenance and labels
Several of these tools mark their output. Google says Veo videos carry SynthID, and Google Cloud lists Content Credentials support for Veo. Adobe attaches Content Credentials to Generative Extend output. C2PA is the open standard behind Content Credentials, and anyone can inspect a file at Content Credentials Verify. Plan for your launch video to be inspectable, and do not use generated shots in a way that misrepresents what your product does.
What sets the timeline
We do not quote a generic timeline, because the honest answer depends on a few things you control:
- How much real footage exists. A working product with clean data to record is the biggest accelerator.
- How settled the message is. Most delays come from changing the one line after the script is written.
- How many generated shots the edit needs. Each one needs generation, review and often regeneration.
- How many cuts you need. A hero video plus cutdowns and ad variants is more work than a single cut.
- Who approves. One decision maker moves faster than a committee.
Start from your launch date and work backwards. If you send us your brief with the date, we will tell you honestly whether it fits and what we would cut to make it fit.