How I Built 14 AI Agents
From a single tiny helper to a reliable team, built around small tasks and clear handoffs.
I did not set out to build fourteen agents. I set out to stop repeating myself.
The first one was tiny. It took a messy transcript and turned it into clean notes. I shipped it to myself, then immediately broke it. That cycle became the pattern: build a thin slice, push it into the workday, notice friction, fix it.
Agent two answered the questions I kept hearing from clients. Agent three stitched files together the way my brain did at 11pm. By agent five, I learned that naming mattered more than clever prompts. By agent nine, I learned that handoffs mattered more than raw intelligence.
I stopped trying to make any single agent perfect. I started designing a team. Each one had a job, a boundary, and a simple definition of done. I also built a small "operating manual" so future me could remember why decisions were made.
The real shift was admitting that work was not one big task. It was dozens of micro-tasks with different rules. Once I started treating them that way, the agents became reliable teammates instead of novelty demos.
Takeaway: Build small agents around repeatable tasks, then connect them with clear boundaries and simple handoffs.
What task in your workflow is begging to be turned into a small, reliable agent?
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- Solo Founder AI Stack — The lean stack I use daily
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Learn More
If you want a structured path to build reliable AI agents, start with the AI Product Building Course.
Amir Brooks
Software Engineer & Designer