Build your Agentic OS.
Four free, short lessons on putting AI helpers to work in a small business: how the pieces fit, what they cost and what they save. No sign-up.
# the operator's path · 4 modules $ cat curriculum.yaml m01: foundations # what agents are, what they aren't m02: lead_engine # 0 SDRs → 12 meetings/wk m03: content_engine # 1 pillar → 12 atoms/wk m04: roi_math # prove it pays in 30 days $ deploy --target=your_business ✓ status: ready · cost: $0 · prereqs: curiosity
The curriculum
Each module ships with a YAML config, a diagram, and a metric. Take it, run it, adapt it.
The 4-layer architecture every agentic system runs on. A litmus test for “is this actually an agent?”. SaaS vs. agentic side-by-side, and your rollout staircase from week 1 to month 6.
A 5-agent fleet that handles the follow-up work a sales rep would do. A live lead scorer and example funnel math: 2,400 leads/wk → 12 booked meetings/wk at about $47 per meeting vs. $145 with humans (example numbers). Fleet config you can fork.
1 pillar essay → 12 atoms. A voice that doesn’t sound like AI. A weekly cadence grid from Mon to Sun, every format covered — plus the YAML to ship your operator-voice content while you sleep.
The exact spreadsheet to prove an agent pays for itself in 30 days. Cost-saved vs. revenue-lift framing, a live calculator with industry presets, and math your accountant can check.
Why this curriculum?
Most “AI courses” are vendor demos in disguise. These are field notes from operators who’ve shipped agentic systems into messy production — and lived to write about it.
Architecture, not hype
Every module gives you a YAML config, a diagram, and a metric. No “AI is amazing” filler.
CFO-defensible math
Numbers your finance team will actually accept. No “10x productivity” hand-waving.
Forkable patterns
Every fleet, prompt, and cadence — copyable. Take it, run it, adapt it.
Ready to deploy your first agent?
Start with Module 01. ~45 minutes. No signup. Just the operator playbook.