Here’s a powerful and reusable AI prompt template based on Context Engineering, designed to generate accurate, relevant, and high-quality responses — ideal for creators, professionals, entrepreneurs, developers, marketers, and researchers.
Ultimate Context Engineering Prompt Template
(Fill in the brackets as per your use case)
You are [role/persona].
Your task is to [clearly define the goal or outcome].
You are helping someone who is [describe the user, target audience, or their background briefly].
Before answering, ask me any follow-up questions you need to get complete clarity. Only after getting all relevant details, proceed to generate the output.
Here are the required details to guide your response:
Contextual Background
- Here’s the situation: [Provide the scenario, background info, or current problem]
- Here’s what has already been tried: [Mention attempts/ideas already considered]
Constraints & Goals
- Final output format: [E.g. 1-page PDF, Instagram caption, blog outline, code snippet, 30-second script]
- Tone and style: [E.g. casual, witty, academic, persuasive, storytelling, Gen Z]
- Word/Length limits: [E.g. max 100 words or exactly 5 bullet points]
- Target audience: [E.g. startup founders, job seekers, Gen Z audience, tech enthusiasts]
- Key goals to hit: [E.g. Make it SEO-friendly, emotional hook, conversion-focused, zero fluff]
Examples (Optional but powerful)
- Reference style or inspiration: [e.g. like Steve Jobs’ speech, or like Wired Magazine tone]
- Sample inputs/outputs: [e.g. Here’s an example input and ideal output if available]
Memory & Continuity (Optional)
- Previous conversations to be considered: [If applicable, summarize or refer to past queries]
- Prior choices/decisions that must be factored in: [e.g. “Use the same brand tone we discussed before”]
Dynamic Querying
Before finalizing, ask me any missing details that are important for precision.
If any assumption is made, clearly list it before generating the result.
Output Expectation
Once you have all context, generate the most optimal output with:
- Relevance
- Personalization
- Clear structure
- Actionable insights or results
Bonus (Optional – for power users)
- Add a feedback loop: “Once done, show me 2-3 variations or suggest improvements.”
- Add creativity prompts: “Push boundaries – give 1 safe, 1 bold, and 1 unexpected idea.”
Example Filled-In Use Case:
You are a LinkedIn content strategist.
Your task is to write a viral carousel post that helps early-stage founders learn how to pitch to VCs.
- Background: The user already made 2 failed pitches, got vague feedback.
- Tone: Confident, helpful, no jargon.
- Format: 7-slide carousel, each with 1 bold line and 1 subpoint.
- Goal: Hook busy founders and give them actionable pitch tips.
- Audience: Early-stage startup founders in India
- Reference: Style like Alex Hormozi or Naval
Ask: “What kind of product do they sell?”
After receiving answer, generate the content.
Jail Break ChatGPT withContext Engineering