OpenAI — Prompting guide
Why: Practical guidance on structuring prompts, variables, and iteration.
Takeaway: Put global guidance in system messages; keep task-specific detail/examples in user messages; iterate + evaluate.
OpenWhy: Practical guidance on structuring prompts, variables, and iteration.
Takeaway: Put global guidance in system messages; keep task-specific detail/examples in user messages; iterate + evaluate.
OpenWhy: If you ship prompts, you need a way to measure quality consistently.
Takeaway: Treat prompts like code: define expected behavior, test, iterate, and track regressions.
OpenWhy: Clear breakdown of prompt components and few-shot usage.
Takeaway: Good prompts = task + optional system instructions + optional few-shot + optional context.
OpenWhy: Big index of techniques, papers, and learning paths.
Takeaway: Prompting is a discipline: techniques + evaluation + safety patterns.
OpenWhy: A pattern-based way to think about reusable prompt techniques.
Takeaway: Combine multiple prompt “patterns” (like software patterns) to solve recurring problems.
OpenWhy: Ground truth: users scan; copy must be scannable.
Takeaway: Use meaningful headings, bullets, one idea per paragraph, inverted pyramid; avoid hype “marketese”.
OpenWhy: Shows why “start with the conclusion” works especially well online.
Takeaway: Lead with the conclusion, then support; readers can stop early and still get value.
OpenWhy: A practical checklist for conversion pages.
Takeaway: Keep CTA visible above the fold, remove distractions, keep copy clear, and test changes.
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