Prompt library

• Multiple squads ship model features and consistency is slipping.
• You need auditability for compliance or enterprise customers.
• You want faster onboarding for designers and PMs editing prompts.

A prompt library turns prompting into shared infrastructure. It reduces duplicated work, enforces safety baselines, and accelerates experiments. PMs must decide ownership, review SLAs, and metrics (adoption, incident rate, time-to-ship). The tradeoff: stricter governance can slow bespoke experimentation if processes are heavy.

Create a small API or package that exposes approved prompts with semantic versioning. Include lint rules (length, variables, banned phrases) and auto-generated docs. Add change requests through PRs with lightweight offline evals. Track library usage in analytics to spot stale prompts. In 2026, pair it with a playground that auto-generates eval suggestions per change.

After rolling out a prompt library, a marketplace team ships seven new AI snippets in a quarter with zero new safety incidents. Median time from idea to live drops from 12 to 5 days because designers reuse audited prompts.

• Letting the library drift without ownership, creating a graveyard of outdated prompts.
• Skipping telemetry, so breakages go unnoticed when consumers upgrade versions.
• Over-centralizing approvals, slowing product squads unnecessarily.