How to Write Effective Prompts for ChatGPT and Claude
A practical prompt-engineering framework: context, task, format, and constraints — so you get reliable outputs from frontier models.
Table of Contents

How to Write Effective Prompts
Output quality from large language models depends heavily on how clearly you specify intent, constraints, and desired structure.
Context–task–format
- Context — Define the role and background (“You are a senior TypeScript reviewer…”).
- Task — State exactly what to produce (“Refactor this function for readability and add brief comments.”).
- Format — Specify shape (“Return Markdown with headings and bullet lists.”).
Add constraints
Include guardrails: tone (“neutral, non-hype”), length (“max 200 words”), audience (“beginner developers”), and safety boundaries (“do not fabricate citations”).
Example prompt
Act as an SEO editor. Given the title below, propose three alternative titles optimized for clarity and click-through on Google Discover. Return a Markdown table with columns: Title, Rationale.
Iterate in short loops: run the prompt, inspect failures, tighten instructions, repeat.
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