Build AI Agents That Actually Run in Production
Not another wrapper-around-ChatGPT tutorial. This is the complete guide to building autonomous AI agents — from OODA-loop architecture and memory systems to 24/7 deployment and making your agent pay for itself.
Based on real production systems that run autonomously around the clock, manage their own operations, generate revenue, and consolidate learning overnight.
$29
$79
One-time purchase. Lifetime access.
- 5 chapters, 25+ in-depth sections
- Real TypeScript code you can copy-paste
- 5 ready-to-use system prompts
- 3 code snippets for core systems
- 2 config templates (deployment + monitoring)
- All future updates included
Built from production systems that run 24/7, generate revenue, and manage their own operations. Not theory — battle-tested patterns.
What You'll Build
By the end of this guide, you'll have a complete autonomous agent system:
5 Chapters. 25+ Sections. Zero Fluff.
Every chapter includes working TypeScript code, architecture diagrams, and ready-to-deploy patterns.
Architecture
The Decision Loop and Tool System
- Why a decision loop beats chain-of-thought
- Building a typed tool registry with execution
- Memory architecture with vector search and compaction
Building the Core
TypeScript, Event-Driven, Context Window Management
- Project structure for production agents
- Event system for inter-module communication
- Context window management and automatic compaction
- LLM client abstraction with streaming + parallel tool execution
Adding Intelligence
Personality, Reasoning, Multi-Agent Coordination
- Personality engine that shapes agent behavior
- Hypothesis engine for data-driven reasoning
- Overnight consolidation and learning
- Multi-agent coordination with routing and delegation
- The belief store for persistent knowledge
Deployment
Local-First, Monitoring, Auto-Restart
- Local-first architecture on a Mac mini or VPS
- Health monitoring with configurable thresholds
- Log watching and real-time alerting
- Task injection for external triggers
- Process management with launchd auto-restart
- Time-based operation phases (day/night modes)
Monetization
Turning Your Agent Into a Product
- The self-funding agent concept
- Digital products your agent can build and sell
- Stripe integration for automated billing
- Budget controls and financial safety nets
- The revenue flywheel strategy
- Production deployment stack for agent-built products
Appendix: Quick Start
A condensed checklist to get your first agent running in under an hour. Covers project setup, environment variables, and the minimum viable loop.
Who This Is For
Solo founders
who want an AI agent shipping alongside them 24/7
Engineers
who are tired of toy tutorials and want production patterns
Indie hackers
looking to build self-funding AI-powered products
Team leads
evaluating autonomous agent architectures for their stack
This Is Not Another ChatGPT Wrapper Guide
What you've seen before
- “Just wrap an LLM in a while loop”
- Toy demos that break in production
- No memory, no deployment, no monitoring
- Abstract theory with no real code
- No path to revenue
What this guide gives you
- OODA-loop architecture with typed tool execution
- Production patterns from systems running 24/7
- Full memory system with vector search
- Deployment with health monitoring + auto-restart
- Monetization chapter: make your agent pay for itself
Start Building Your Agent Today
One purchase. Lifetime access. Every future update included. The exact architecture behind production AI agents that run autonomously around the clock.
$29 one-time. No subscription.