A chat answers; an agent acts.

In depth: 00 · ABC: six words before you start → “6. Agent”

Related: model · prompt · tool

Appears in

• 00 · Kickstart: Your ghost idea · Map of tools · First steps · The Source or the Packaging
• 01 · Introduction: Your experience with AI · Four shifts · Your first prompt
• 02 · Setup: Environment check · Installing the tools · Your first project
• 03 · Stack selection: What are your constraints? · Matrix of 4 stacks · Behind a censorship firewall: no VPN · Hermes + local stack · Migration plan for your workflow
• 04 · Prompt Engineering: The spec formula
• 05 · Context & Memory: When the agent didn't get you · Context vs Prompt · The memory system · Tune your memory
• 06 · Automation Pipeline: The info you process by hand · Trigger → Action model · Build your pipeline · What to automate next? · A pipeline that runs on its own
• 07 · Tools & Extensions: What's Claude Code missing? · MCP: superpowers through a protocol · Hooks: event automation · Skills: modular capabilities · Plug it in and test · Pendel: your agent audits your project
• 08 · Agent Engineering: When Prompts Stop Working · Jagged Intelligence: What to Delegate · Orchestration: Gmail Agent as a Case · Prototype → Production · Design Your Clone · Agent SDK: the Agent as a Library
• 10 · Model Training: What's inside a model · Data is the main work · Fine-tuning: when and how · Practice: fine-tune a small model
• 11 · Second Brain: A second brain that stays with you · A channel: your agent within reach · Skills travel from agent to agent · Security: everything that comes from outside · Practice: build your own second brain

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checked against the course: 2026-11-02 · 664b147