GoKawiilGoing forward we’ll occasionally feature first-hand accounts of people building personal AI tooling to take on some part of their non-coding work.
This is a story from Giorgio Liapakis of wibci. If you have a story to tell, drop us a note at [email protected].
In January, I gave an AI agent $1,500, full control of a Meta Ads account, then walked away.
The product was a small AI/marketing newsletter called Growth Computer, and the brief was to get qualified subscribers at the lowest cost possible - ideally under $2.50 per lead. So I built an agent that could generate ad images, publish and manage campaigns via Meta’s API, spin up landing page variants, and pull its own analytics. It decided what to create, what to pause, what to scale, and how to spend the budget with no human intervention.
For 31 days, the only human input was typing /let-it-rip into a terminal each morning. About 2 minutes of my time, compared to the 1-2 hours a day a human media buyer would typically spend managing a campaign like this.
It didn’t go fully as planned, but there were plenty of learnings.
And a good glimpse at the potential future of “work”.
If you’re a fan of a good Excalidraw walkthrough, watch Giorgio cook here:
Why bother
I run Wibci, an AI consulting business focusing on building tools for marketing and growth teams. About 12 months ago I tried building something similar using n8n, a marketing agent that could analyze performance, generate creative, and manage campaigns without me. It sucked, because the models just weren’t built for long-running tasks that chain together over hours, days or weeks. They’ve since gotten better at this (it’s a major focus area for AI companies right now), which is what made this experiment possible.
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