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Do I need a dataset to get good at prompting?

A small, curated dataset accelerates learning. Ten to fifty real examples with expected outcomes let you compare prompts objectively and avoid fooling yourself with cherry-picked wins. You can start without one, but progress is faster and more measurable with a dataset you revisit weekly.

In practice

Favor diversity over size—cover the real range of cases you face.

Where to start

  1. [01]Collect 20 examples from recent work.
  2. [02]Write acceptance criteria for each.
  3. [03]Run weekly tests and log changes.
  4. [04]Rotate new edge cases into the set.
prompting datasetprompt practice seteval data prompts

Related questions

// 001How can I learn prompt engineering?// 002Where can I find a prompt engineering course?// 003How long does it take to learn prompt engineering?// 004Is there a practical beginner’s guide to prompt engineering?

Build it properly.

Promptise Foundry treats prompts as software — typed blocks, versioning, guards and an inspector that shows you every assembly decision.

Prompt engineering in FoundryRead the guides
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