The 10 Prompting Hacks by Anthropic
How the Applied AI team turns a broken V1 prompt into a production-ready one
Anthropic has shipped a lot in the last twelve months. Skills, MCPs, Claude Code, Claude Design, Cowork, integrations everywhere.
Easy to forget that none of it works without the layer underneath: the right prompt.
The prompt is still the thing. The model is smarter, the surface area is bigger, but the difference between an AI feature that ships and one that flakes in production is still written in plain English at the top of an API call.
Below are the lessons from a recent Anthropic prompting workshop run by their Applied AI team. Ten components, in a specific order, with the exact prompt examples they showed on stage from a real Swedish car insurance use case.
Inside you will find:
Why Every V1 Prompt Fails
The 10 Layers Inside Every Production Prompt
How to Brief Claude to Avoid Hallucinations
How to Write Instructions That Survive Edge Cases
What to Repeat Right Before Claude Acts
The Three Output-Control Tricks Most Founders Skip
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