The 3 Layers Every AI Agent Needs

Most people are still using AI like a chatbot. They're leaving capability on the table.

Hi, I'm Mike Fox, host of this podcast, "Lone Wolf Unleashed." In this episode, I break down the three layers that separate a chatbot from an actual agent — one that can do your work, not just talk about it.

You'll learn the exact framework for building AI agents that integrate with your tools, follow your workflows, and operate with the right context:

Layer 1 — Connections: How to give your AI "hands" to reach into task managers, calendars, and documents. Mike covers MCP (Model Context Protocol), GPT actions, and practical integration methods across ChatGPT, Claude, Gemini, and Microsoft Copilot.

Layer 2 — Playbooks: Teaching your AI your specific workflows. How to write procedures it can follow, set safety rails, and define step-by-step processes. Includes a worked example of automating daily standups.

Layer 3 — Identity: Defining who your AI agent is. The four components (role, directives, knowledge domain, routing) that turn generic AI into a specialist that knows when to push back and when to execute.

I'll share real examples from my own setup: Claude connected to Obsidian for automated note-taking, Asana for task management, and GoHighLevel for pipeline tracking. You'll see how I've eliminated manual work while maintaining control.

This builds on the previous episode "Make Tasks Easy with AI Agents" — listen to that one first if you're just getting started.

Whether you're using ChatGPT, Claude, or another AI tool, this episode gives you the structure to move from assistant to agent.

🔗 Lone Wolf Unleashed site – https://lonewolfunleashed.com

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