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Glossary term

Output Contract

The explicit agreement a prompt sets about what the output should contain, how it should be structured, and what standard it should meet.

An output contract is an explicit definition of what shape a model’s answer should take. It tells the model what sections, fields, or structure the result must include.

Why it matters

Output contracts make prompts easier to review, compare, and reuse. In Promptlight, they are especially helpful for prompts that need consistent internal outputs such as summaries, analyses, or review checklists.

Example in practice

A prompt might require the answer to include:

  1. Situation summary
  2. Evidence
  3. Risks
  4. Recommendation
  5. Open questions

That is an output contract. It does not tell the model what conclusion to reach. It tells the model how the answer must be organized.

What to look for

A good output contract is:

  • specific enough to check
  • simple enough to reuse
  • aligned with the task
  • supportive of review

The best contracts improve clarity without forcing irrelevant sections into every answer.

Common confusion

An output contract is not the same as objective execution mode or prompt constraints.

Output contracts pair especially well with Hallucination Guardrails because a section like evidence or open questions makes unsupported claims easier to spot. For application, see Turn Long System Prompts Into Reusable Files and Why Objective Execution Prompts Need Guardrails.

Related terms

prompt engineering

Prompt Constraints

The limits, rules, and boundaries a prompt sets on scope, behavior, or output.

prompt engineering

Objective Execution Mode

A precision-oriented prompting pattern that emphasizes explicit objectives, constraints, and output compliance.

prompt engineering

Prompt Template

A reusable prompt structure with placeholders or variables that can be adapted to different inputs without rewriting from scratch.

ai operations

Hallucination Guardrails

Instructions or workflow checks that reduce the chance of unsupported claims appearing in model output.