Practical guides for prompt engineering, Claude Code, MCP servers, and agent architecture. Built from real systems, not theory.
A 10-part deep dive into how the IO Platform orchestrates nine content libraries from a single context brief — producing a complete content package in under four minutes.
One context brief. Nine specialized libraries executing in parallel. A complete content package — article, images, video concepts, social posts, SEO, CRM sequences — assembled in under four minutes.
Structured learning paths from fundamentals to advanced agent systems.
The foundation. Learn how to write clear, effective prompts. Zero-shot, few-shot, chain-of-thought, structured output, and the mental models behind great prompts.
Start learning →Go beyond chat. Learn Claude Code — the CLI agent that reads, writes, and executes code. CLAUDE.md files, hooks, tool use, and agentic workflows.
Start learning →Connect AI to everything. Build Model Context Protocol servers that give Claude access to databases, APIs, and custom tools. Node.js, Express, Supabase.
Start learning →Design multi-agent systems. Agent roles, orchestration patterns, Slack/Notion/GitHub integration, and the operating system that runs Intelligent Operations.
Start learning →Follow this sequence to go from writing your first prompt to building autonomous AI systems.
Master the fundamentals — clear instructions, structured output, few-shot examples, chain-of-thought reasoning. This is the skill everything else builds on.
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.
Build MCP servers that connect Claude to databases, APIs, and tools. Give your AI access to Notion, Supabase, Slack, GitHub — whatever your system needs.
Design multi-agent systems where each agent has a role, tools, and scope. Build the operating system — not just the chat interface.
Few-shot, chain-of-thought, structured output, role prompts
CLI agent, CLAUDE.md, hooks, permissions, agentic coding
Designing effective system prompts for different use cases
Model Context Protocol, tool building, server architecture
Multi-agent orchestration, roles, workflows, automation
Slack + Notion + GitHub automation pipelines
Writing context files that make AI agents effective
Real implementations from Intelligent Operations
Start with the fundamentals or jump to the topic that matches where you are. Everything is built from real systems.