Prompt Engineering Sprint

Design, test, and optimize production prompts with eval loops

30 minutesManual: 3-5 hours

Takes a prompt requirement and runs a structured engineering sprint: requirement analysis, prompt design with separation of concerns, test case generation, evaluation loop, and optimization. Produces a production-ready prompt with documented edge cases.

Workflow Steps

1

Requirement Analysis

/prompt-creator

Define inputs, outputs, constraints, and quality criteria

2

Prompt Design

/prompt-creator

Draft prompt with upstream/downstream separation and role clarity

3

Test Case Generation

/prompt-creator

Generate edge cases, adversarial inputs, and golden examples

4

Eval Loop

/eval-loop

Run prompt against test cases, score outputs, iterate on failures

5

Documentation

/produce-content

Document the prompt, its constraints, and known limitations

Example

Building a production prompt for lead scoring. The sprint defines 6 input signals, designs a prompt that separates evidence gathering from scoring, generates 20 test cases (including edge cases like incomplete data), runs 3 eval iterations improving accuracy from 72% to 91%, and documents the final prompt with 4 known limitation scenarios.

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Built and maintained by Victor Sowers at STEEPWORKS