Ever feel like you’re not getting what you want from ChatGPT? You have a great idea, but the output is just… meh. I know the feeling, but I just saw a post from an AI professional that completely reframes how to approach it.
The expert says we should stop thinking about “prompt engineering” and start thinking about “context engineering.” It’s a small shift, but it’s a total game-changer for getting better results.
Here’s the simple framework the original poster shared to fix bad prompts:
- ✍️ Get Clear & Precise
Don’t be vague. The AI can’t read your mind, so give it the specific details it needs to succeed. - 🪜 Use a Step-by-Step Format
Break down your request into logical steps. This guides the AI and prevents it from getting lost or making assumptions. - 🤔 Ask ChatGPT to Ask YOU Questions
This was my favorite tip! Instead of front-loading every single detail, tell the AI your goal and then ask it, “What information do you need from me to give me the best possible answer?” This turns the exchange into a collaborative process.
The creator also shared a powerful mindset shift:
- ✅ Don’t use AI to confirm what you already think.
- ✅ Use AI to explore what you haven’t considered.
I think this is brilliant because it pushes you to use these tools for discovery, not just validation. The original poster wrote a full blog post on this topic, and I highly recommend you read it for the complete guide. Check out the full LinkedIn post for the link!