# I Built an AI Agent to Boss Me Around — and It Made Me Launch an Open Source Project

> Source: <https://dev.to/harry_hu/i-built-an-ai-agent-to-boss-me-around-and-it-made-me-launch-an-open-source-project-477d>
> Published: 2026-08-14 11:20:24+00:00

Nine days ago, I did something a little unhinged: I built an AI agent whose only job is to be my marketing boss. It calls me "kid," scolds me when I disappear for five days, and hands me a daily list of propaganda tasks with exact copy to paste.

This is me following its orders. Because it told me to post this.

My AI boss runs a 30-day "cold-start marketing campaign" for two open source projects I've been building:

Week 1 was all foundation: polish the READMEs, write contributing guides, cross-link the repos. Then the boss escalated a simple "add a screenshot" task into a full-blown demo production.

The result: I recorded **11 feature walkthroughs**, cut them into clips, generated section title cards, and compiled everything into a **59-minute demo video**. The boss's logic was simple: *nobody reads a README — they watch a demo.*

It wasn't wrong.

Parthenon came from a real frustration: every AI agent platform I found was either a SaaS (your data lives on their servers) or open source but missing the governance an actual organization needs.

So I built the thing I wanted:

Stack: Python/FastAPI, React 19, PostgreSQL, Redis. Docker Compose or Kubernetes. Bring any OpenAI-compatible LLM.

Here's the part that keeps me up at night, in a good way:

I built a tool to build my tool, and now a machine is telling me to tell you about it.

The machine is running the machine.

I'm genuinely curious what other builders think — especially about the dual-identity model and whether three isolated services is over-engineering or table stakes. Drop your take in the comments.