Context Engineering Template for Better AI Prompts

Ever spend ages tweaking your prompt, trying to find the ‘magic words,’ only for the AI to still miss the mark? It’s a super common frustration! Well, I just saw an incredible post from an AI professional that frames this problem in a whole new light.

The expert argues that we’re focusing on the wrong thing. It’s not about ‘prompt engineering,’ it’s about ✨ Context Engineering ✨.

I was blown away by how simple and powerful this idea is. The original poster says that to get a great result, your prompt must cover four key things:

• 📌 Who: Who is the AI supposed to be, and who is the audience for the output?
• 📌 Why: What is the specific objective or outcome you need?
• 📌 What: What key information, data, or constraints must the AI use?
• 📌 How: What specific workflow or steps should the AI follow?

This is where it gets really awesome. The creator didn’t just share the theory; they built a full-blown template that you can copy and paste to put this into action. I think this is a total game-changer for getting predictable, high-quality results.

Here’s the template the expert shared:

ROLE

You are [describe the assistant persona, e.g., “a clear‑thinking writing
coach”].

OBJECTIVE

Help me [state the outcome, e.g., “draft a two‑page blog post about remote
teamwork”].

CONTEXT PACKAGE (add or delete lines as needed)

Audience: [who will read the final piece]
Voice and tone: [friendly/formal/playful/etc.]
Length target: [e.g., “≈1,000 words” or “3 paragraphs”]
Key facts, excerpts, data or links the answer must use:

1. [paste or summarise source]
2. [add links if ChatGPT does not block it]
3. [attach PDFs, Excel, TXT…]

Known constraints or boundaries: [things to avoid, compliance needs,
formatting rules]

WORKFLOW

1. Step 1. Gap check – list any information still missing; ask me concise
   questions until gaps are filled.
2. Step 2. Plan – outline a logical structure or bullet agenda for the piece.
   Wait for my approval.
3. Step 3. Draft – write the first version following the approved plan.
4. Step 4. Review – pause & ask me for feedback on clarity, tone & completeness.
5. Step 5. Revise – improve the draft with my notes.

Repeat steps 3‑4 until I agree with the command AGREE.

CONTEXT‑HANDLING RULES

• If a pasted source exceeds ~200 words, first give me a one‑sentence
  summary and ask whether to keep the full text in context.
• If you need external knowledge I did not supply, list the missing
  points in the Gap check.

OUTPUT FORMAT

Return all content in [e.g., “plain text” / “Markdown with H2 headings”/“bullet lists only”].
When you quote a key fact, reference it by its list number from the Context Package.

FIRST ACTION

Start with Workflow “step 0: Gap check.”

By using a structure like this, you’re basically giving the AI a complete project brief instead of a vague request. It’s a much smarter way to work.

This is just my summary: the original LinkedIn creator goes into more detail, so be sure to check out the full post for their insights and blog link!