About This Session
Learn 5 prompt frameworks that improve results in ChatGPT, with a simple structure for task, context, and inputs.
Show Notes
In this hands-on LinkedIn Live session, Tim Cakir, CEO of AI Operator, broke down the 5 essential prompt frameworks that help people get better results from AI tools like ChatGPT.
Tim introduced the five core components of a strong prompt:
Task, Instructions, Context, Parameters, and Input.
He also emphasized that great prompts aren’t about gimmicks like “Act as a…”—they’re about structure, clarity, and context.
He then tested five popular frameworks live:
- APE (Action, Purpose, Expectation)
- RACE (Role, Action, Context, Example)
- RISE (Role, Input, Steps, Expectation)
- CARE (Context, Action, Result, Example)
- ROSES (Role, Objective, Scenario, Expectation, Steps)
Each framework was demoed with real-world examples, showing the impact of switching models (e.g. o3 vs GPT-4o) and how tools like custom instructions or memory influence output quality.
Throughout the session, Tim encouraged experimentation, live feedback, and questions, making it an engaging and practical introduction to prompt engineering.
The takeaway? Prompting is a skill—and anyone can improve it with the right mindset and structure.
▶️ Watch the full replay above to start prompting like a pro.
Hosted by
Tim CakirTim Cakir is the founder of AI Operator and creator of the ADOPT Method™. He runs these sessions live, then leaves the recording here so teams can work through it at their own pace.
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