Observation
There's a growing idea that longer, more packed prompts get more out of the model. In practice, that's not always what improves the result.
From the Field
When preparing content internally, I've seen prompts evolve into long blocks, background, instructions, context, edge cases, all in one go. The output technically responds, but often becomes diluted and less focused. A shorter, more structured prompt with only the relevant context usually performs better.
Why This Matters
Too little context gives vague outputs. Too much unfocused context gives noisy outputs. It's not about quantity. It's about relevance and structure.
Field Takeaway
Better prompts aren't longer. They're clearer.
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No noise. Just the useful bits.