AUDIOBOOK
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This audiobook is narrated by an AI Voice.
Build Production-Ready AI Systems in 30 Days-No PhD Required.
The gap between "playing with ChatGPT" and building scalable AI business systems is enormous. Most professionals are stuck experimenting while competitors are shipping production-ready AI stacks that create real competitive advantages.
"30 Days to Build Your AI Business Stack" bridges that gap with a battle-tested roadmap from someone building AI systems at scale-not selling AI courses.
Written by Michael Patterson, an AI engineering leader managing 120+ engineers at a Fortune 500 company, this guide cuts through the hype to deliver production-grade implementation strategies you can deploy immediately.
What Makes This Different: Unlike theoretical AI books or basic tutorials, you'll master the complete technical architecture-from Model Context Protocol (MCP) implementations to autonomous agents serving millions of users.
Your 30-Day AI Transformation:
Days 1-5: Foundation Layer – Master Model Context Protocol (MCP), advanced prompt engineering, and AI development environments using Cursor, GitHub Copilot, and modern toolchains.
Days 6-10: Data & Intelligence – Build robust vector databases with Pinecone and Weaviate, implement RAG systems, and create knowledge bases that power intelligent applications.
Days 11-15: Autonomous Systems – Deploy AI agents using LangGraph and CrewAI that reason, act, and scale without constant human intervention.
Days 16-20: Workflow Orchestration – Connect everything with AI workflow automation using Zapier, Make, and n8n for intelligent process orchestration.
Days 21-25: Customer-Facing Products – Ship reliable conversational AI, internal copilots, and AI-powered features with proper guardrails and monitoring.
Days 26-30: Production Operations – Deploy securely on Vercel, Railway, and Render with cost optimization, monitoring, and continuous improvement systems.
Build Production-Ready AI Systems in 30 Days-No PhD Required.
The gap between "playing with ChatGPT" and building scalable AI business systems is enormous. Most professionals are stuck experimenting while competitors are shipping production-ready AI stacks that create real competitive advantages.
"30 Days to Build Your AI Business Stack" bridges that gap with a battle-tested roadmap from someone building AI systems at scale-not selling AI courses.
Written by Michael Patterson, an AI engineering leader managing 120+ engineers at a Fortune 500 company, this guide cuts through the hype to deliver production-grade implementation strategies you can deploy immediately.
What Makes This Different: Unlike theoretical AI books or basic tutorials, you'll master the complete technical architecture-from Model Context Protocol (MCP) implementations to autonomous agents serving millions of users.
Your 30-Day AI Transformation:
Days 1-5: Foundation Layer – Master Model Context Protocol (MCP), advanced prompt engineering, and AI development environments using Cursor, GitHub Copilot, and modern toolchains.
Days 6-10: Data & Intelligence – Build robust vector databases with Pinecone and Weaviate, implement RAG systems, and create knowledge bases that power intelligent applications.
Days 11-15: Autonomous Systems – Deploy AI agents using LangGraph and CrewAI that reason, act, and scale without constant human intervention.
Days 16-20: Workflow Orchestration – Connect everything with AI workflow automation using Zapier, Make, and n8n for intelligent process orchestration.
Days 21-25: Customer-Facing Products – Ship reliable conversational AI, internal copilots, and AI-powered features with proper guardrails and monitoring.
Days 26-30: Production Operations – Deploy securely on Vercel, Railway, and Render with cost optimization, monitoring, and continuous improvement systems.
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