What if work just… happened? Build AI agents that finish.
A 10-day, in-person sprint at Network School. You leave running a team of 3+ AI agents that use your real tools, remember what matters, and work while you sleep — demoed live, with receipts.
“You don't have a knowledge problem. You have a finishingproblem.”
You've watched the agent demos. You've read the threads. What you've never had is a room with a deadline, a facilitator on your build every day, and a room of builders who won't let you quit. In 10 days, that room turns “I chat with AI” into “my agents did that while I slept.”
A Tuesday, three weeks from now.
Not hypothetical — this is the exact shape of the capstone workforces this program produces.
A workforce. Running, not planned.
Every outcome is a hard deliverable with a day attached — verified by your pod, demoed in public.
A team of agents
3+ coordinated agents with defined roles — one researches, one writes, one reviews. An org, not a bot. You're the manager.
Real tools, safely
Connected to your Gmail, GitHub, calendar via MCP — gated by the Rule of Two, with human approval on money, send, and delete. Always.
Memory + 24/7
Your agents remember you across sessions and run on a schedule — with traces and a cost number you can say out loud.
A public demo
Your capstone workforce, live at Network School, with receipts — and running for you the morning after.
Every layer, every ship — tracked on one live dashboard.
Your streak, your milestone badges, and all 9 capstone proof points update as you build. By Demo Day this screen is the proof your workforce is real.
The 5-layer model — the map that never changes
Tools change monthly. This model is what survives. Every day of the sprint climbs this stack.
You start at “I chat with AI” (Layer 1) — and work through the stack, one layer at a time, until you're running an org (Layer 5).
Ease in. Then full swing.
Two warm-up sessions get your accounts, credits and homework in place — then Jul 17–27 runs at full intensity.
Intro session + AWS partner meetup
Meet the program, see live agent demos — and get set up with AWS partner credits for your agent stack (subject to eligibility).
AI Agents session + prep homework
The deep-dive: the 5-layer model, the stack, your first hands-on taste. You leave with prep homework so Day 1 starts at speed.
Every single day ends with something shipped — no passive lectures, ever
3 hours live. The rest is yours to build.
Max three sessions a day, ≈60 minutes each. Depth lives in the homework packs and build time — not longer lectures.
Build in the morning. Ship by night.
Two morning sessions, a protected build afternoon at your included coworking desk, one 4pm lab — then your daily ship.
Guardrails first. Power second.
The only agent program we know that teaches you to argue against agents where they don't fit.
You're not comparing this to zero.
You're comparing it to how you'd otherwise get this work done. Run the math with us.
- 40 hrs/week, needs management anyway
- Doesn't scale — more work = more hires
- Walks out the door with the knowledge
- The information is genuinely all there
- No safety gates — tutorials skip the guardrails
- No deadline, no pod, no Demo Day = no finish
- Works nights & weekends — approval-gated, traced, costed
- Compounds — every skill you package gets reused
- Finished in 10 days — demoed in public, with receipts
Built for finishers.
Read this honestly before you apply — it saves us both time.
✓ This is for you if…
- You have real work you'd love to delegate — research, content, ops, outreach, reporting
- You can commit 5–7 focused hours on each of the 10 full-swing days (Jul 17–27), in person
- You don't code — and that's fine. The live track is no-code-first; agents do their own setup
- You're technical? Even better — builder extensions go deeper: CrewAI, LangGraph, self-hosting, local MCP
- You'll ship daily and demo in public — the Demo Day capstone is the whole point
✕ This is not for you if…
- You want a course to watch on your own schedule — this is live, in person, and intense
- You can only attend some of the days — the ship-every-day chain breaks without you
- You want theory and certificates — the only certificate here is a running workforce
- You won't let agents touch any tools at all — gated and safe, but hands are the curriculum
The Investment.
- Two warm-up sessions — Jul 10 intro + AWS credits setup · Jul 14 agents deep-dive + homework
- 30 live sessions — 10 full-swing days × 3 hands-on sessions, taught by building
- Facilitator eyes on your build, daily— a small room means nobody's invisible
- Pods of 3–4 — they verify your ship every day and catch you when you fall
- Homework packs + builder extensions — no-code track and technical track
- Coworking Membership — your home base for the build afternoons
- AWS partner credits — cloud credits for your agent stack, set up on Jul 10 (subject to eligibility)
- Capstone + public Demo Day — live at Network School, Jul 27
🛡 No refunds — instead, the Ship Promise: show up, do the work, and we don't stop until your workforce ships. Complete the MVP path and fall short anyway? Direct facilitator support + a demo slot at the next cohort.
Your capstone passes on 9 proof points.
This is the bar — the same bar as our 30-day program, compressed into 10 days. Not vibes. Receipts.
Fall behind? The Minimum Viable Path — first win → employee → safe tools → memory → team → safety → demo — still passes.
Show up ready to build.
The warm-up sessions carry most of this — by Jul 17 you're set up and already moving.
Come to the Jul 10 intro
See live agent demos, meet the room — and set up your AWS partner credits on the spot (subject to eligibility).
Apply (2 minutes)
Limited spots, reviewed personally. We say no to people we can't help — that protects your seat's value.
Get ChatGPT with Codex
Pro plan ~$100/mo. It's yours beyond the program — your workforce runs on your accounts.
Join the Jul 14 session
The AI Agents deep-dive. You leave with prep homework so Day 1 starts at full speed.
List 3 workflows you hate
Real recurring tasks you'd delegate to a human if you could. They become your agents' first jobs.
Block Jul 17–27
5–7 focused hours per full-swing day. One rest day (Jul 26). Your workforce is the main project.
Everything you'd ask me anyway.
What are the exact dates?
What exactly is an "AI workforce"?
What does it cost all-in? No surprises.
How much time do I need per day?
What if I fall behind or miss a day?
Claim your spot.
Takes 2 minutes. Reviewed personally within 24–48 hours. Warm-up starts Friday, July 10.
⏰ Limited spots · nothing is charged until you're accepted · or just grab Megan at NS — @meganmartinsone
Already accepted? Sign in →
By July 27, you'll either have an AI workforce — or still be chatting.
It starts gently: intro session Friday, July 10 (with AWS partner credits*) · agents session July 14 · then full swing July 17–27. Bring your laptop and 3 workflows you hate.
— Megan