@Vincent_AINotes: Anthropic officially demonstrates a more stable way to write prompts: don't mix background, materials, rules, examples, and output requirements into one paragraph. Instead, assign each type of information a clear position and use XML tags to delineate boundaries. The core idea is not to make prompts longer, but to minimize what the model needs to guess. I've compiled...
Summary
Anthropic officially demonstrates a method to structure prompts using XML tags, separating background, materials, rules, examples, and output requirements to reduce guesswork and improve stability.
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Cached at: 07/06/26, 04:15 PM
Anthropic officially demonstrated a more stable way to write prompts:
Don’t mix background, materials, rules, examples, and output requirements into one big block. Instead, give each type of information a clear position, and use XML tags to draw clear boundaries.
The core is not to make the prompt longer, but to minimize what the model needs to guess.
I’ve compiled 4 key method diagrams, full demo in the next post 👇 https://t.co/oUkAu24gM4
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