All 12 chapters shipping now

I built an AI agent that
runs my businesses while I sleep.
Here's the playbook.

The practical guide to turning an AI into an autonomous co-founder. Not theory — real workflows from someone running 3 businesses with one agent on a Mac Mini.

agent-session — Mon 3:47 AM
Reading TASKS.md...
Top task: Draft sales follow-ups for 3 warm leads
Scanning inbox... 14 unread
🔴 2 urgent   🟡 5 need reply   ⚪ 7 FYI
Drafting 3 follow-up emails...
✓ Email 1: Proposal follow-up (Sarah, TechCorp)
✓ Email 2: Demo scheduling (Marcus, DataFlow)
✓ Email 3: Renewal nudge (James, SecureIT)
Researching 4 new business opportunities...
Scored: #1 SEO tool (38/50) #2 Template kit (35/50)
Session complete. 7 deliverables shipped.
Next session in 2h 13m. Owner is asleep.
2,920
Autonomous work sessions / year
50-75x
ROI on $200/month cost
55K+
Words of battle-tested playbook
12 chapters. Zero fluff.

Every chapter is a real workflow from a real business. No "10 ChatGPT prompts" — actual architecture, actual code, actual results.

Chapter 1 · Foundation

What AI Agents Actually Are

Cut through the hype. What separates a real agent from a chatbot, and why the distinction matters for your business.

Chapter 2 · Foundation

The Agent Stack

Every tool in the ecosystem, what it costs, and which setup makes sense. No marketing fluff — just what works.

Chapter 3 · Foundation

Your First Agent in 30 Min

From zero to a running agent you can message from your phone. Step-by-step, no coding required.

Chapter 4 · Core Workflows

Email Management

Build a knowledge base from your email history. Agent drafts replies in your exact writing style. 2 hours/day → 30 minutes.

Chapter 5 · Core Workflows

Research & Intelligence

Autonomous research sessions at 3 AM. Scored opportunity pipelines. Social listening across X, Reddit, HN.

Chapter 6 · Core Workflows

Content Creation

The 70/30 rule: agent does research, drafts, and formatting. You add voice. One hour → one blog + 7 social posts + a newsletter.

Chapter 7 · Core Workflows

Code & Product Dev

Ship products without writing code. Describe in English, agent builds. Real case study: a full web app built and deployed.

Chapter 8 · Advanced

Autonomous Operations

Scheduled work sessions. Self-managed task queues. The agent picks tasks, executes, and reports. You wake up to progress.

Chapter 9 · Advanced

Memory & Context

Solve the amnesia problem. Build a memory architecture so your agent compounds knowledge over months — not just sessions.

Chapter 10 · Advanced

Multi-Business Management

Run multiple businesses with one agent. Context isolation, priority allocation, and knowledge bases that don't bleed.

Chapter 11 · Revenue

Revenue Workflows

Sales automation, content-to-revenue pipelines, agent-built digital products, and customer retention systems.

Chapter 12 · Revenue

The 24/7 Business

The compound effect. Agent economics. The 4-stage progression from single agent to agent team. Where this is all going.

Built for builders, not researchers.

If you're still copy-pasting into ChatGPT, this is your upgrade path.

🚀

Solopreneurs

You're doing everything yourself. Email, content, code, marketing. An agent lets you operate like a team of 5 — for $200/month.

💼

Founders & Execs

Running a startup and drowning in operational work. Reclaim 2-3 hours/day for strategy and relationship-building.

🛠️

Non-Technical Builders

You don't write Python. You don't need to. This playbook is written by a non-developer who ships products with AI agents.

"I'm fundamentally lazy, so I want to automate everything. And I'm proof that it can be done without being technical."

Alex runs three businesses across two countries. Not a developer — can't write Python, never trained a model. But he set up an AI agent on a Mac Mini that drafts emails in his writing style, builds web apps, researches opportunities at 3 AM, and manages operations across all three businesses. This playbook is the system he wishes existed when he started.

Alex Strand
3 businesses · 1 AI agent · 0 lines of Python
One price. Complete system.

No subscriptions. No upsells. Buy once, get everything.

The Playbook
$29 one-time
  • All 12 chapters (55,000+ words)
  • Real workflows from real businesses
  • Architecture diagrams & code examples
  • Step-by-step setup guides
  • Free updates for life
Get the Playbook →
Common questions
Do I need to be a developer?
No. The author isn't one. The playbook is specifically written for non-technical founders and solopreneurs. If you can use a terminal and follow instructions, you're good.
What AI tools does this cover?
The primary stack is OpenClaw + Claude, but the workflows apply to any agent platform. Chapter 2 includes a full comparison of available tools so you can choose what fits.
How much does running an agent cost?
$110-300/month total (AI subscription + hosting + APIs). For context, a virtual assistant costs $500-2,000/month. The playbook includes a detailed cost calculator in the appendix.
Is this just ChatGPT prompt engineering?
Not at all. This is about autonomous agents — AI that has persistent memory, file access, web browsing, scheduled tasks, and multi-channel messaging. It's a different category entirely from copy-pasting prompts.
What if I'm not happy with it?
Email me within 14 days for a full refund. No questions asked. The playbook is good — but if it's not right for you, I'd rather give you your money back.
When will the templates bundle ship?
The playbook PDF ships immediately. The templates bundle ships within one week of purchase. You'll get an email when it's ready.

Stop doing everything yourself.

Your competitors will have AI agents soon. Be the one who's already running a 24/7 business.

Get the Playbook — $29 →