APE Framework
Action · Purpose · Expectation
Three fields, high impact. The fastest framework — ideal for everyday prompts before graduating to more complex structures.
- Definition
- The APE framework (Action · Purpose · 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 — the verb of your request.
Purpose
Why you need it — the goal or use case behind the request.
Expectation
What a good response looks like — 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
- ✓Quick, everyday prompts
- ✓First-pass drafts before refining with a more detailed framework
- ✓Situations where time matters more than polish
- ✓Users new to prompt engineering
- ✗Complex multi-step tasks (use RISEN)
- ✗Tasks requiring precise voice control (use CO-STAR)
- ✗Tasks where audience definition is critical (use CRAFT)
Frequently Asked Questions
What does APE stand for?
APE stands for Action, Purpose, and Expectation — 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 — it teaches the habit of structured prompting without overwhelming complexity.