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Building AI Agents
0 of 19 chapters complete
1
How AI Agents Actually Work, End to End
13 min
2
Context vs Prompt vs Loop vs Harness Engineering
14 min
3
Types of AI Agents
14 min
4
What Is Loop Engineering?
8 min
5
What Is an Agent Harness?
10 min
6
What Running an AI Agent Actually Costs per Month
14 min
7
How to Build Your First Agent Loop
12 min
8
Agentic Loop: stop_reason, tool_use, and end_turn
14 min
9
Cloudflare x402 Monetization Gateway for MCP and APIs
12 min
10
What Is MCP? Model Context Protocol Explained
10 min
11
GPT-Realtime-2.1-mini: Reasoning Voice Agents at Mini Price
12 min
12
RAG vs MCP: Complete Guide to Context-Aware AI
10 min
13
What Are Embeddings? Vector Search Explained
10 min
14
Agent Markdown Files: SKILL.md, AGENT.md, CLAUDE.md
10 min
15
What Are Agent Skills?
8 min
16
Top 10 AI Agent Loops for Coding Workflows
12 min
17
Agent Harness Engineering: When Scaffolding Wins
10 min
18
AI Coding-Agent Evals on Real Repositories
13 min
19
The Agentic Era: How AI Agents Will Transform Everything
12 min
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