PromptDrift — regression sentinel for AI features

Snapshot behavior before every prompt change, so you stop silently churning customers

Problem

Almost every team adding an AI agent or chat feature hits the same wall: the bot looks perfect in a demo, then two weeks later you tweak one prompt to fix a tiny request and suddenly it gives away discounts it shouldn't, invents features you don't have, or goes blank on multi-turn conversations. These silent prompt regressions quietly churn customers, and most teams only find out by accident.

Solution

Store a set of representative conversations and behavioral assertions (things it must not say, facts it must include, multi-turn context) as a project asset. After each prompt change, rerun them in one click and diff the results, flagging new or missing behaviors. Wire it into CI so non-compliant changes block the release.

Users

Small teams and indie developers shipping AI agents or chat features inside their products

MVP

Host golden conversations and assertions; one-click rerun with behavioral diff; highlight new or missing response patterns; CLI check callable from CI; compare multiple prompt snapshots.

Revenue

Monthly per-project subscription (from $29 per project) or usage-based API calls per run.

Why now

More small teams tune prompts in production but lack a lightweight regression layer; the pain is shifting from occasional to weekly.