Learn · Build · Ship

Learn to engineer intelligence

Practical guides for prompt engineering, Claude Code, MCP servers, and agent architecture. Built from real systems, not theory.

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Structured learning paths from fundamentals to advanced agent systems.

Intermediate

Claude Code Mastery

Go beyond chat. Learn Claude Code — the CLI agent that reads, writes, and executes code. CLAUDE.md files, hooks, tool use, and agentic workflows.

📖 10 lessons ⏱ ~5 hours
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Advanced

Building MCP Servers

Connect AI to everything. Build Model Context Protocol servers that give Claude access to databases, APIs, and custom tools. Node.js, Express, Supabase.

📖 12 lessons ⏱ ~6 hours
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Advanced

Agent Architecture

Design multi-agent systems. Agent roles, orchestration patterns, Slack/Notion/GitHub integration, and the operating system that runs Intelligent Operations.

📖 8 lessons ⏱ ~4 hours
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From zero to agent architect

Follow this sequence to go from writing your first prompt to building autonomous AI systems.

01

Learn to prompt

Master the fundamentals — clear instructions, structured output, few-shot examples, chain-of-thought reasoning. This is the skill everything else builds on.

02

Build with Claude Code

Move from chat to code. Use Claude Code to read repos, write features, run tests, and ship. Learn CLAUDE.md, hooks, and agentic coding patterns.

03

Connect to real systems

Build MCP servers that connect Claude to databases, APIs, and tools. Give your AI access to Notion, Supabase, Slack, GitHub — whatever your system needs.

04

Orchestrate agents

Design multi-agent systems where each agent has a role, tools, and scope. Build the operating system — not just the chat interface.

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Ready to build?

Start with the fundamentals or jump to the topic that matches where you are. Everything is built from real systems.

Start with prompts → Browse the library