An Anthropic engineer said something that completely changed how I think about Claude: “You’re not supposed to prompt Claude. You’re supposed to build a system that prompts itself.” Most people open Claude, type a question, get an answer, and leave. That is using maybe 10% of what it can do. In this walkthrough, he breaks down how advanced users actually work with Claude: → Why your CLAUDE.md file can have a bigger impact than the prompts you type → How to build multi-agent workflows with separate agents for research, execution, review, and orchestration → The architecture that turns Claude from a chatbot into a production system → The three properties every agent team needs to stay reliable as complexity grows The most interesting idea is that you stop thinking in terms of prompts. Instead, you design systems. One agent gathers information. One agent builds. One agent critiques. One agent coordinates everything. The human stops managing every step and starts managing the workflow itself. If you’ve been using Claude exclusively through the chat interface, there’s a good chance you’re missing most of the platform’s capabilities. This is less about prompting better. And more about building environments where the AI can do the prompting, planning, and coordination on its own. One of the best practical AI workflow breakdowns I’ve seen recently. Worth bookmarking.