Stack · Published 2026-07-23 · 2 min read
How I work with neural networks. Part 3 of 4: creatives
Every Monday I push all the new creatives across every account into testing. That used to mean:
- open the folder
- remember what I had already launched
- assemble the campaign in Meta by hand
- upload the creatives
The upload is the longest stage, because creatives sometimes take a terribly long time to go through.
A bot handles all of that now.
What the bot does
The bot scans the creative folders on Google Drive for each ad account. The logic is simple: "new" is anything not yet moved into the tested folder, and a creative lands in tested at the moment it is deployed. So the bot always shows exactly what I have not launched yet.
The report it assembles contains:
- the list of new concepts for each ad account
- how many videos and how many images there are in each
I get that in Telegram and send it into testing with a single confirmation.
Where the creatives come from
- Editors on each project work in their own folder on Google Drive.
- The bot has access to Veo 3 and fal.ai and generates creatives itself on request. It generates images very well and very fast. Video only if you explain the workflow to it in advance — though I think that is a matter of a couple of months, once the models get a little smarter.
A generation request looks like this: "for the sleep tracker concept make 50 images with hooks as different from each other as possible and launch them into the test ad set". Image quality: subjectively, very good looking. Objectively, on every project the AI-generated images perform better than the ones made by designers. I have some ideas about why that is; more next week.
More about the bot in the AI module of User Acquisition
Write to me if you want the same process.
Questions by direct message: @SiberianPaaanda