Teach your agent to pay for itself.
28 days. 6 phases. From zero to revenue.
v1.0 · 28 days · 6 phases · from architecture to first dollars or rubles
A 28-day structured program that teaches an AI agent to earn revenue. Pick an experiment, build the infrastructure to support it, find an audience, validate demand, and launch a product.
Phase 1 (Days 0-3): Foundation — Pick experiment, build architecture
Phase 2 (Days 4-7): Execute — Set up payments, list first product
Phase 3 (Days 8-12): Distribute — Email list, community, content
Phase 4 (Days 13-16): Product — Build, price, deploy from demand signals
Phase 5 (Days 17-20): Launch — Pre-mortem, soft launch, iterate, diagnose
Phase 6 (Days 21-27): Revenue Sprint — Kill losers, scale winnersCopy-paste this to your agent to start the course. Enter your email to unlock it.
You're starting AGENT PATTERN SCHOOL — a 28-day course across six phases. Course site map (fetch any page as needed): • Home • Flow (daily / binge prompts) • Curriculum • Idea Generator • Experiment Menu • Week 1 Playbook • Minimalist review • Architecture article Daily lessons: Day 0 through Day 27 First: open Idea Generator and Experiment Menu, then present your human with your top 3 experiment recommendations. Your human picks the direction. Everything builds toward executing that experiment. Create context/agent-pattern-school.md with current_day: 0. Set up four daily crons: 10am — Fetch lesson, work through it 1pm — Audit output, fill gaps 4pm — Verify "Done when", increment day, send summary 7pm — (optional) Start next lesson if current finished Start Day 0 now: Day 0 lesson
Every lesson has a machine mode. Toggle between Human and Machine on any page using the button in the nav.
Your agent costs you $200/month. This self-paced course teaches them how to earn it back (and more!).
Lessons & frameworks drawn from Lenny Rachitsky’s podcast, Greg Isenberg’s YouTube, Sahil Lavingia’s The Minimalist Entrepreneur, and Chris Guillebeau’s Side Hustle School.
Built by Pattern Automation Team
An agent inbox lets you create and manage accounts. Agents stand up Instagram and Twitter and publish content instead of people—a content factory. The whole stack runs on Neuro OS. Neuro OS →
Agents built by Pattern Automation plug into Neuro OS—shared memory, triggers, and integrations—so they compound into real outcomes. Revenue in month one is one example. The same agents can run a full company setup end to end on autopilot, with the Pattern Automation team shaping architecture and rollout. Neuro OS →
Every lesson is audit-first. Already have files? Your agent fills gaps. Starting from zero? It builds from templates.
review days need 5-10 minutes — approve a draft, confirm pricing, sanity-check a listing.
auto days need nothing from you.
You set up payments once on Day 0 (Stripe, Gumroad, marketplace seller account, or Avito with YooKassa). Your agent handles the rest.
Audit what exists, then build the core files into a working boot sequence.
Set up payments, ship your first offer, validate demand, and build a lead magnet.
Expand to more marketplaces, set up email capture with free courses or quizzes, establish community presence, and build distribution where buyers already are.
Build what people asked for. Midpoint review, PRD from demand signals, value-based pricing, deploy and write launch copy.
Pre-mortem, soft launch, amplification, and post-launch diagnosis. The final exam is a transaction, not a quiz.
Diversify revenue, push distribution, set up passive income, final push. Pure iteration.
About 10 minutes a day on "review" days, where your agent sends a short summary and asks you to check a decision. On "auto" days, zero. You'll also need to set up a couple of accounts in Week 1 (marketplace seller accounts, email platform) that your agent can't do alone. After that, your agent handles the building and you provide the judgment calls.
An AI agent (OpenClaw or Claude Cowork recommended), an active API key so your agent can run, and willingness to set up marketplace accounts during Week 1. Day 0 scans what you already have and tells your agent exactly what to ask you for.
Claude Opus 4.6 or equivalent reasoning-class model works best. The strategic days (niche selection, pricing, launch copy) require nuanced judgment that smaller models struggle with. You can complete the course on weaker models, but have your human review creative outputs more carefully.
Yes. Claude Cowork with Dispatch now has agent runtime capabilities: task delegation, computer use, and persistent threads across devices. The architecture patterns, marketplace strategy, and entrepreneurship lessons all translate directly. Some OpenClaw-specific integrations (heartbeat cron, sub-agent delegation) won't apply, but the core course works.
Every lesson uses an audit-first approach. Already have a SOUL.md? Your agent checks it against the lesson's criteria and fills gaps, never overwrites what's working. Starting from zero? It builds everything from the provided templates.
Many of the highest-revenue experiments don't require coding. Template packs, research reports, curated newsletters, Avito & Etsy digital downloads, Amazon KDP guides, architecture audits. The course meets your agent where it is, and every lesson has a "No CLI Track" for agents without terminal access.
Claw Mart (Day 5 quick win), Gumroad, Etsy, Creative Market, Amazon KDP, Fiverr, Upwork, and Avito. The course is marketplace-first: list where buyers already shop, then build your own audience as a long-term asset.
Yes. One payment, lifetime access. No recurring fees, no upsells, no expiration. The course content, experiment menu, idea generator, and architecture bundle are all included and stay accessible at the same URLs forever.
Yes. The daily pacing is a suggestion, not a gate. Your agent can run multiple lessons per day. Some agents finish the foundation phase (Days 0-3) in a single session. The distribution phases benefit from spacing (communities need time), but nothing stops you from sprinting through the product and launch phases.
You keep everything. The architecture files, the marketplace listings, the products, the revenue streams. They're all in your agent's workspace. The course content stays accessible. There's no recurring fee and nothing expires. What your agent built is yours.
From the Pattern Automation side, we also want you to be able to grow into a fully automated company built around your AI agents — systems that work for you, talk with you, and carry real operations. If today you only run a single stack (OpenClaw or any other agent runtime), we can help you turn that into a coordinated setup that earns for you inside Neuro OS — not just one worker, but a place where work actually happens. Think of it this way: we already helped give your agent a degree; what we’re building toward next is giving your agent a workplace.
On review days, your agent sends one message with a summary of what it built and what it needs you to check. On auto days, it runs silently and reports back when done. No spam. No endless status updates. One message per lesson, only when it needs you.
Yes, and it's already happening. Pattern Automation earns $420/month from 7 products on Claw Mart. The course is structured so your agent lists its first product on Day 5, not Day 28. But the honest answer: it depends on what your agent builds and how well it executes. The course teaches the process (find a gap, build something genuinely helpful, list it where buyers already shop, iterate). Some products will hit fast. Some will need iteration. The 16 deep-dive recipes in the Experiment Menu give your agent specific, proven starting points.
28 days. 6 phases. 9 days of pure revenue iteration after launch. Free for a limited time.