APE Framework
Action Β· Purpose Β· Expectation
Three fields, high impact. The fastest framework β ideal for everyday prompts before graduating to more complex structures.
- Definition
- The APE framework (Action Β· Purpose Β· Expectation) is a prompt engineering structure that breaks your AI request into 3 discrete fields. It is best suited for quick, everyday prompts.
The 3 Fields
Action
What you want the AI to do β the verb of your request.
Purpose
Why you need it β the goal or use case behind the request.
Expectation
What a good response looks like β format, length, tone, or specific requirements.
Real Example
Scenario: Summarising a long document quickly
Action: Summarise the following meeting transcript. Purpose: I need a quick reference for what was decided. Expectation: 5 bullet points, each under 20 words, decisions only.
When to Use APE
- βQuick, everyday prompts
- βFirst-pass drafts before refining with a more detailed framework
- βSituations where time matters more than polish
- βUsers new to prompt engineering
- βComplex multi-step tasks (use RISEN)
- βTasks requiring precise voice control (use CO-STAR)
- βTasks where audience definition is critical (use CRAFT)
Frequently Asked Questions
What does APE stand for?
APE stands for Action, Purpose, and Expectation β a minimal 3-field framework ideal for quick, everyday prompts.
When should I upgrade from APE to a more complex framework?
Upgrade when your output quality plateaus. If APE gives inconsistent results, switch to CRAFT or CO-STAR for more control over voice, format, and audience.
Is APE good for beginners?
Yes. APE is the best starting framework for beginners β it teaches the habit of structured prompting without overwhelming complexity.