Ever feel like you’re wrestling with ChatGPT? You ask for something specific, and it spits back something completely random. It’s super frustrating!
Well, I just saw an awesome post from a LinkedIn creator that breaks down why this happens. According to the author, the secret isn’t in the AI, it’s in the prompt.
Bad prompts create bad results.
This savvy professional shared a bunch of simple yet powerful frameworks to structure your prompts for way better results. I was blown away by how clear this makes things!
✍️ Here are a few of the frameworks the expert shared:
- ✅ TREF: State the Task, Requirements, what you Expect, and the Format.
- 📝 SCET: Describe the Situation, Complication, what you Expect, and the Task.
- 🎯 PECRA: Explain the Purpose, your Expectation, the Context, your Request, and the Action.
- 🌟 GRADE: Define the Goal, make a Request, specify the Action, add Details, and give Examples.
- 🌹 ROSES: Mention the Role, Objective, Scenario, Expected Solution, and Steps.
Using one of these turns prompting from a guessing game into a clear recipe. I think this is a total game-changer for anyone who uses AI regularly.
The original post from this industry pro has even more info, including a full infographic. You have to go check out the full post to get all the details!