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Low complexity

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

1

Action

What you want the AI to do — the verb of your request.

2

Purpose

Why you need it — the goal or use case behind the request.

3

Expectation

What a good response looks like — format, length, tone, or specific requirements.

Real Example

Scenario: Summarising a long document quickly

APE Prompt

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

Best for
  • ✓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
Not ideal for
  • ✗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.

Related Frameworks

CRAFT
Context · Role · Action · Format · Target
RTF
Role · Task · Format
Single Prompt Line
One clear, direct sentence

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APE Prompt Framework — Fields, Examples & When To Use It | PromptQuorum