Hiring AI
Build AI agents the way you'd build a great team.
Most AI training teaches you to write better prompts. That's like managing a new hire by shouting instructions at them one task at a time.
Hiring AI teaches the other way. You write the job description. You onboard it with your real context. You give it a learning file so it gets better every week. And you decide what it owns and what you check.
It's how I built the 30+ agents that run my company. I'm a retail operator, not an engineer. Hiring AI launches this winter: a live series in January 2027, then a small-group cohort, then the full course.
Signature Talks
What You'll Learn
1. Write the Job Description
Before you build anything, decide what role this agent fills and what "done" looks like. Most AI disappoints because nobody wrote the job down.
→ You leave with: a one-page job description for your first AI hire.
2. Onboard It
You wouldn't hand a new hire a sticky note and walk away. Give your agent your context, your voice and your rules in one file it reads every time.
→ You leave with: the onboarding file template I use for every agent on my team.
3. Train It
The second week matters more than the first. Learning files and feedback loops are how an agent gets better every week instead of making the same mistake twice.
→ You leave with: a learning file your agent updates itself.
4. Give It the Right Tools
Connect your agent to the data it actually needs, and nothing it doesn't. Which connectors are worth it, and which ones to skip.
→ You leave with: a short list of the connectors worth setting up first.
5. Manage the Team
One agent is a tool. Several that share knowledge are a team. How agents pull from a shared hub, and how you check their work without micromanaging.
→ You leave with: a simple check for trusting what your agents hand you.