AI agents write our code, handle support, generate content, and run our SEO. This page explains how that works.
Most companies use AI as a helper. We gave agents actual responsibilities. They write and review code, answer customer questions, publish content, and monitor production. If something can run without a human checking in every day, an agent runs it.
We're a few people running multiple companies. Without agents, we'd need a much bigger team. With them, we spend our time on product decisions instead of repetitive tasks.
Agents write code, review pull requests, generate tests, and deploy to production. Our engineers decide what gets built and how it fits together. The boring parts are automated.
Customer emails get answered by agents. Blog posts get drafted and optimized automatically. SEO runs on pipelines we built once. We check in on the results, not the process.
Before we write production code, agents research the market, analyze competitors, and prototype rough versions. We've killed ideas at this stage that would have wasted months. That's the point.
LLMs do the thinking. We built orchestration on top that routes tasks to the right agent. Workflows are reusable across all our companies, so a support workflow we built for one product works for the next one too.