Tutorial
Practical & hands-on
Learn how to build
AI automation that works
Step-by-step tutorials on AI agents, coding agents, and automation tools — written for builders who want to understand the why, not just copy the output.
Foundations
New to AI agents? Start here. These tutorials cover what agents actually are, how coding agents work, and how to run your first real task.
AI Agent · Concepts
What Is an AI Agent? A Beginner-Friendly Guide
A core architecture overview without the marketing jargon. Learn how tools, memory, and planning work together.
Claude Code · Getting Started
Claude Code in 20 Minutes: Your First Real Agentic Task
Install, configure, and run Claude Code on an actual codebase — not a toy example. What it does well, where it hands back control, and when to intervene.
Codex · Getting Started
OpenAI Codex CLI: What It Is and How to Run Your First Agent Task
Codex CLI vs the API vs ChatGPT — what each actually does, and a walkthrough of running a real file-editing task from the terminal.
AI Agent · Tool Calling
How Tool Calling Works: What Happens When an Agent Uses a Tool
The mechanics behind function calling — how the model decides to use a tool, what gets sent, and how the result comes back into the agent loop.
Core Skills
You understand the basics. These tutorials go into agent architecture, tool choice, and how to combine coding agents with automation workflows.
Coding Agents · Comparison
Claude Code vs Kilo Code vs Codex: How to Pick the Right Coding Agent
Not a spec sheet — a decision framework. What each agent is optimized for, where each breaks down, and which fits which type of task.
→ Full comparison availableAI Agent · Architecture
How Agent Routing Actually Works: Intent, Tools, and Decision Paths
Why agents follow the paths they do — intent classification, tool selection logic, and how to design decision trees that stay predictable under real conditions.
n8n · AI Integration
Using n8n as an Orchestration Layer for AI Agents
n8n is not an agent — it's a workflow engine. Here's how to use it correctly: triggering agents, handling outputs, and chaining LLM calls without turning your workflow into spaghetti.
⬇︎ Workflow template availablePrompt Engineering · Agents
Writing System Prompts for Agents: Why Chat Prompts Break in Production
Structured outputs, role definition, and constraint design — how to write prompts that make agents behave predictably across hundreds of runs, not just the first one.
Production & Architecture
For builders deploying agents in real environments. These tutorials assume you've already shipped something and hit real constraints.
Multi-Agent · Design
Orchestrator-Worker Patterns: Designing Multi-Agent Systems That Don't Spiral
Agent handoff protocols, failure propagation, and loop prevention — how to architect a multi-agent pipeline that stays in control when one agent goes off-script.
AI Agent · Memory
Memory Architecture for Production Agents: Context, State, and Storage
Context windows, vector stores, session state, and external memory — when each makes sense and how to combine them without adding latency you can't afford.
Coding Agents · Integration
Integrating Claude Code into a CI/CD Pipeline: What Actually Works
Beyond running Claude Code locally — how to use it as part of an automated pipeline, what guardrails you need, and where human-in-the-loop checkpoints belong.