How AI agents plan, reason, use tools, and work together. Weekly tutorials for developers, delivered every Thursday.
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24 tutorials planned. Subscribe to get them in your inbox every Thursday.
| # | Tutorial Title | Time to Read | |
|---|---|---|---|
| 1 |
What is an AI Agent? (And How It's Different From Automation)
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| 2 |
Agent Anatomy: Tools, Memory, and Reasoning
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| 3 |
Choosing Your Agent Stack: n8n vs Make vs LangChain
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| 4 |
Prompt Engineering for Agents
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| 5 |
Connecting Agents to the Real World: APIs and Webhooks
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| 6 |
Giving Agents Memory: Short-Term, Long-Term, and Contextual
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| 7 |
Multi-Step Agents: Planning, Executing, and Recovering from Errors
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| 8 |
Working With Structured Data: Parsing, Transforming, and Routing
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| 9 |
Email Automation Agents
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| 10 |
SMS Agents
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| 11 |
WhatsApp Agents
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| 12 |
Voice AI Agents Part 1: How AI Phone Calls Actually Work
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| 13 |
Voice AI Agents Part 2: Building Your First Inbound Call Agent with Vapi
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| 14 |
Voice AI Agents Part 3: Outbound Calling Campaigns
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| 15 |
Build: Instant Lead Follow-Up Automation
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| 16 |
Build: Lapsed User Reactivation Agent
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| 17 |
Build: Automated Review Generation System
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| 18 |
Build: AI-Powered Appointment Booking Agent
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| 19 |
Build: Customer Support Agent with Escalation to Human
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| 20 |
Build: End-to-End Lead Qualification Agent (Voice)
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| 21 |
Multi-Agent Systems: When One Agent Isn't Enough
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| 22 |
Making Agents Reliable: Error Handling, Retries, Logging, and Evals
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| 23 |
Deploying Agents: From n8n Local to Production (+ Cost Management)
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| 24 |
What's Next: Your Agentic AI Roadmap
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📬 New tutorial every Thursday
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