PromptQuorumPromptQuorum
High complexity

TRACE Framework

Task Β· Request Β· Action Β· Context Β· Example

Show, don't tell. The Example field teaches the AI exactly what you want better than any description.

Definition
The TRACE framework (Task Β· Request Β· Action Β· Context Β· Example) is a prompt engineering structure that breaks your AI request into 5 discrete fields. It is best suited for tasks where you have an example of the ideal output.

The 5 Fields

1

Task

The broad category or type of task you are asking the AI to perform.

2

Request

The specific, precise request β€” what exactly you need.

3

Action

The concrete action the AI should take to fulfil the request.

4

Context

Relevant background, constraints, and situational information.

5

Example

A concrete example of what good output looks like. The most powerful field in TRACE.

Real Example

Scenario: Generating structured product descriptions in a specific format

TRACE Prompt

Task: Product description writing. Request: Write a product description for PromptQuorum. Action: Follow the exact structure in the example. Context: B2B SaaS tool, technical audience. Example: "Notion β€” The all-in-one workspace. Write, plan, collaborate, and get organized. Notion is everything you need β€” in one tool."

When to Use TRACE

Best for
  • βœ“Tasks where you have an example of the ideal output
  • βœ“Few-shot prompting scenarios
  • βœ“Replicating a writing style or format
  • βœ“Generating structured data when you can show the schema
Not ideal for
  • βœ—Tasks where no good example exists
  • βœ—Creative tasks where examples constrain originality
  • βœ—Simple factual questions (use APE)

Frequently Asked Questions

What does TRACE stand for?

TRACE stands for Task, Request, Action, Context, and Example β€” a few-shot framework where providing an example teaches the AI precisely what output you want.

Why is the Example field so powerful in TRACE?

Showing beats telling. A concrete example communicates format, tone, length, and style simultaneously β€” more efficiently than any written description.

How is TRACE different from RISEN?

TRACE uses examples to guide AI output; RISEN uses explicit sequential steps. Use TRACE when you can show what good looks like; use RISEN for ordered workflows.

Related Frameworks

Use TRACE inside PromptQuorum

All 9 frameworks are built in. Write, optimize with your own LLM, dispatch to 25+ AI models, and run consensus analysis β€” free, no account required.

Join the Waitlist
TRACE Prompt Framework β€” Fields, Examples & When To Use It | PromptQuorum