Prompt Requirements Are Product Requirements

In AI products, prompts often carry product requirements that were never written elsewhere. They describe what the system should do, what it should avoid, how it should speak, and when it should ask for help.

011. Write the User Intent First

A prompt should start from the job the user is trying to complete. Summarize this record, draft a reply, classify this request, extract contract dates, or compare two policies are clearer than be helpful.

Specific intent makes it easier to design tools, evaluate answers, and explain behavior to users.

Prompts encode product behavior and should be reviewed like product requirements.

022. Make Boundaries Explicit

Prompts should state what the system cannot do: invent missing facts, approve financial actions, provide regulated advice, ignore permissions, or continue without sufficient evidence.

Boundaries are not only safety language. They shape the user experience when the correct answer is a question, refusal, or escalation.

033. Define the Output Contract

If another system consumes the response, the output should be structured. If a human consumes it, the response should be readable, concise, and tied to evidence.

A product team should decide format deliberately instead of leaving it to whichever prompt version happened to work in a demo.

044. Version Prompts With the Product

Prompts should change under version control, with evaluation notes and a reason for the change. A silent prompt edit can change product behavior as much as a code deployment.

Treating prompts as requirements makes AI products easier to govern and easier to improve.