A community bouldering-wall shop keeps rewriting the same “draft cases from this story into our three-column sheet” text. What is a prompt pattern in this context?
Select an answer to reveal the explanation.
Short Explanation
A prompt pattern is a reusable cookie cutter for asks that should come out the same shape every time. Capture the three-column case draft once as a template instead of retyping it. That is cultivation, not a model metric or product name.
Full Explanation
A prompt pattern is a reusable template for crafting prompts that steer GenAI toward consistent, reliable outputs. A community bouldering-wall shop that keeps rewriting the same “draft cases from this story into our three-column sheet” text should capture that block as a pattern so teams stop rewriting the same instruction and standardize useful test asks. A one-off chat reply that must never be reused denies reusability. A CT-AI neuron-coverage metric for model outputs is a measurement concept, not a prompt pattern. A vendor SKU name for a commercial chatbot is branding, not a template. Exam caveat: prompt patterns are cultivation assets for consistency; they are not coverage metrics or product labels. Operational check: store the three-column case-draft instruction as a shared prompt pattern and reuse it across bouldering-wall stories with story-specific slots filled in. Keep civic testware subject to the same review discipline you would apply to human-authored packs. On the written exam, prefer syllabus terminology over vendor marketing language or lab choreography. Treat fluent output as a draft until organizational quality gates and data-handling rules are satisfied. Align the choice with GenAI-for-testing strategy rather than with CT-AI model-as-SUT measurement unless the stem asks for that lane.