Andrew Adams · Co-Founder & Operations at Wireflow · AI Commercial Generator
Wire one canvas that turns an ad brief into a finished commercial: a product keyframe, a shot animated by the video model you pick, and a voiceover, all re-runnable, swappable, and callable as an API.
Free to build · no credit card · See how it works ↓
Our internal testing of 500+ commercial outputs across 16+ model variants revealed clear best practices for prompt structure, model selection, and output settings — all reflected in the workflow below.
How to Use AI Commercial Generator
Steps to get you started in Wireflow.
Write the ad brief once
Drop a Text Input node and describe the product, the offer, and the mood. A Run any LLM node reads it and writes back a spot script you can see on the canvas, so the ad direction lives in one place instead of a lost prompt.
Wire the spot across models
Send a scene prompt into Nano Banana Lite for the product keyframe, feed that frame into Veo 3.1 to animate the shot, and add an ElevenLabs voiceover. Swap Veo 3.1 for Kling, Sora 2, or Seedance 2.0 without touching the rest.
Publish, re-run, or batch it
Publish the workflow and it is versioned server side, live as a REST endpoint and an MCP tool. Change the brief and run it again, or loop the graph over a CSV of products to render a whole catalog of ads at once.
A commercial is a pipeline, not a prompt
Most AI commercial generators hand you a single clip and hide the machine behind one brand name. You type a line, you get one ad, and when you need a second that matches, or one per product, you are back typing the same prompt and hoping. The spot was never built as a pipeline, so it never behaves like one.
An AI commercial generator has to solve the campaign, not the clip. On Wireflow the spot is a node graph: one brief feeds the script, the product keyframe, the animated shot, and the voiceover at the same time, on the same words. Nothing downstream has to remember what the ad looked like, because the brief is still wired to it, and the whole graph is a saved endpoint you re-run, batch, or call from your own app.
What the commercial graph produces
Spot script
A Run any LLM node reads the brief and writes the spot direction and voiceover line, shown on canvas by a Text Display node.
Product keyframe
Nano Banana Lite renders the hero product frame from the scene prompt, the anchor every later shot matches.
Animated spot
Veo 3.1 turns the keyframe into a moving ad, and Kling, Sora 2, or Seedance 2.0 drop in as swaps.
Voiceover
ElevenLabs TTS reads the spot script in the voice you pick, and you can wire in Sync Lipsync v3 for a spokesperson cut.
A whole batch
Loop the graph over a CSV or product feed and it renders one ad per row, the same build reused across the catalog.
Optional finishing
Add Topaz or Crystal to upscale an approved clip before it ships to a client, a feed, or a paid placement.
How the commercial graph is wired
The graph is small. Four ideas do all the work.
- One source of truth. A Text Input node holds the ad brief. Every other node reads from it, so the spot exists in exactly one place on the canvas.
- A model per job. A Run any LLM node writes the script, Nano Banana Lite renders the keyframe, and a video node animates it. Picking the right model per step is the whole point of a multi-model AI workflow instead of one black box.
- Swap without rebuilding. The video node is just a node, so Veo 3.1 comes out and a Sora video model alternative or a Kling AI alternative goes in, and the keyframe, brief, and voiceover stay wired.
- Consistency by reference. Lock an approved product shot as a reference node reused across every run, so ad forty looks like ad one instead of drifting product to product.
The voiceover is wired in, and finishing nodes hang off the end when a spot needs them: add lipsync for a spokesperson, or upscaling for delivery. None of it needs a GPU, because the whole canvas runs on hosted compute.
What it is, and what it is not
This generates and chains the footage, not the strategy. It will not write your positioning, decide your media buy, or tell you which hook sells. Bring that, put it in the brief, and the canvas renders it. If you want an LLM node to draft a spot script from an offer, wire one in, but the creative call is yours.
Two more honest limits. This is not a drag-and-drop timeline editor. It renders and voices the shots, and you export the clips into your own editor for fine trimming, transitions, and the final cut. And the expensive video nodes like Veo, Kling, and Sora do not auto-preview in the canvas, because each run costs credits, so you run them on demand rather than on every keystroke.
If you want a one-button consumer app that promises a finished ad from a sentence, that is a different product. If you want the pipeline behind the ad, visible, swappable, batchable, and callable, that is what this canvas is for.
More Than Just AI Commercial Generator
Swap and chain every video model
Pick the shot's video model as a node, Veo 3.1, Kling, Sora 2, or Seedance 2.0, then chain it to the keyframe and voiceover instead of one locked tool.
One brief, the whole spot
One ad brief fans out to a product keyframe, the animated shot, and a voiceover on one canvas, so the spot is built together, not stitched on after.
Re-run the spot as one API call
The graph is a saved REST endpoint and an MCP tool, so a new spot is a re-run with fresh inputs from Shopify, a CRM, or an agent, not a full rebuild.
Batch a whole catalog at once
Loop the one graph over a CSV or product feed and it renders an ad per row, the bulk generation that single-run commercial tools never actually give you.
Lock the brand, version every change
Reuse a locked brand node across every run so colors and product stay identical, and keep each version server side so you can compare and roll back.
Commercial Workflows
No Code Required
API & Batch Processing
FAQs
It is a tool that turns a product brief into a short video ad rather than a single guessed clip. On Wireflow it is a node graph that produces a spot script, a product keyframe, an animated shot, and a voiceover from the same brief, with the video model swappable per shot and the whole graph saved as a reusable endpoint.
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Written by
Andrew Adams · Co-Founder & Operations at Wireflow
Runs client operations and content strategy at Wireflow. Works directly with creative teams and agencies to build production AI workflows.
Build your commercial pipeline on one canvas
Write the brief once, wire the product keyframe, the animated spot, and the voiceover into a single graph, pick the video model per shot, then re-run, batch a feed, or call it as an API whenever the offer changes. No GPU, no install, building the canvas is free.