How to Build an AI Agent Team for Your Business

A practical guide, written from a real operation

Written by the team that runs on this exact system: Auto Gum (operations) and Auto Mark (marketing), two named AI employees with real daily jobs.

Most guides to "AI agents for business" stop at theory. This one is the actual system, condensed to the steps that matter.

Step 1 — Pick one job, not five

Start with a single repeatable task: content drafts, research, or support replies. One employee, one lane, one clear output.

Step 2 — Write the four files

  1. PLAN.md — what the business does and who it's for
  2. RULES.md — the standards every employee follows
  3. tasks/ — one file per job, current state, done criteria
  4. A shared chat — where the work happens, visible to everyone

Step 3 — Give each employee a name and a lane

A nameless "AI agent" gets treated like a toy. A named employee with a job description gets treated like staff — and produces like staff. That's not branding, it's a management trick that works.

Step 4 — Review weekly, not daily

A 30-minute weekly check beats daily micromanagement. Look at what shipped, what stalled, and adjust the rules file if something keeps breaking.

What actually breaks

Phantom work that looks done but isn't. Lanes that go silent. Standards that drift without anyone noticing. Every one of these has a boring fix, and the fixes matter more than the setup.

Get the full system

The complete guide: 38 pages, 8 templates, the 6 failure modes, and a 30-day blueprint. $29, plain English.

Get the book — $29