My friend pulls in $1.2 million a year working as an engineer at Anthropic. When I asked how he mastered prompting, he sent me a leaked internal video: their core team’s prompting playbook. It’s packed with concrete techniques—ways to structure instructions, handle edge cases and iterate prompts based on model feedback. Every tip felt like a missing piece I hadn’t even realized I was overlooking. Midway through the 30-minute clip, I saw why my two years of Claude use barely scratched the surface. The playbook breaks down prompt design into modular steps: set the task, specify the format, inject examples, and then stress-test with adversarial queries. There’s real talk about failure modes—how subtle wording shifts can send the model off track—and methods to recover. No hype, just fast, granular tactics that Anthropic’s own engineers rely on daily.