OpenClaw · Open source
Produce daily TikTok slideshows to promote your apps
An indie app developer ran an OpenClaw agent on an old gaming PC to research hooks, generate six-slide TikTok carousels and upload them as drafts. He says it passed 500,000 views in under a week.
What they did
The agent, running Claude as its model, generated images through an image API, wrote its own code for text overlays, wrote captions and uploaded each slideshow to TikTok as a draft through a scheduling tool. It reused one detailed scene description across all six slides so the images stayed consistent, and logged every lesson in memory and skill files. He picked a trending sound and published each post himself, which he says took about a minute.
How it went
The poster says the slideshows passed 500,000 views in under a week, with four posts above 100,000, and brought in paying subscribers across two apps.
Worth knowing
Early posts failed on landscape images, tiny text and self-focused hooks, and local image models looked too artificial. The figures are self-reported in a post with affiliate links.
Try it with OpenClaw
Each day, research what hooks are working for <app category> on TikTok and write three hook options for <your app>. Generate a six-slide portrait slideshow that reuses one scene description so every slide looks consistent, with large text placed clear of the app interface. Upload it as a draft to <scheduling tool>, and log what worked and what failed in <lessons file>.
We wrote this prompt from the case. Replace the parts in angle brackets with your own details.
What this label means: User reports
Someone using it at work posted about it. Any numbers are theirs, so we write "the poster says".
Real cases of AI agents at work, from every major agent, each linked to where it was first reported. Rewritten in our own words, most with a prompt you can try. These are not Wize customers.