CRTF Prompt Structure: Context-Role-Task-Format
Write a prompt that gives the AI model precise context, role, task, and expected format.
Goal
Get a high-quality answer from a language model on the first try, avoiding lengthy corrective back-and-forth.
Steps
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1
Define the actual task in a single verb sentence ("summarize", "draft", "analyze", "compare", "review").30 sec
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2
Add context: who you are, the audience, the background. Don't assume the model knows.2 minExample: "I'm a product manager at a Saudi startup, writing for a Gulf investor."
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3
Explicitly assign the model's role ("Be a marketing expert specialized in the Saudi market").30 sec
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4
Specify output format: word count, bullets vs paragraphs, Arabic vs English, formal vs conversational tone.30 sec
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5
Ask the model to ask for any missing info before writing ("If something is missing, ask me before starting").30 secThis single sentence saves you from 80% of redos.
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6
Send the prompt and read the output once before deciding: accept, small tweak, or restructure the prompt.2 min
Expected Outcome
Reflection prompt
Which task do you repeat with language models that deserves a personal ready-made template?
Evidence base
School: Prompt Engineering / Applied LLM Research
Founders: Anthropic Research Team · OpenAI Cookbook · DAIR.AI (2023)
The CRTF (Context-Role-Task-Format) structure draws from Anthropic's prompting guides and the OpenAI Cookbook. Studies show prompts built on this structure raise answer quality by 35-60% vs open prompts.
- Anthropic (2024). Prompt Engineering Guide.
- OpenAI (2023). GPT Best Practices Cookbook.
- DAIR.AI. Prompt Engineering Guide.
Keywords
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CRTF Prompt Structure: Context-Role-Task-Format: interactive applet designed for this exercise. 10 min. Every widget auto-saves.