PromptOps — LLM Testing & Versioning Platform

Git for prompts — version, test, and ship AI features without breaking production

As every developer becomes an AI engineer overnight, PromptOps brings software engineering rigor to LLM workflows. Track prompt performance across Claude, GPT-4, and Llama like you track code commits, catch regressions before users do, and cut inference costs by 40% through automated A/B testing. No ML degree required — just push, test, deploy.

Key Benefits:

- Git-like branching and rollback for prompts — compare GPT-4 vs Claude 3.5 performance on real user queries with one command

- Automated regression detection alerts you when prompt changes degrade accuracy or spike costs before deployment

- CI/CD pipeline integration tests prompts against your test suite on every commit, blocking merges that fail quality thresholds

MVP Scope: Git-like version control system for AI prompts with commit history, branching for A/B testing, one-click rollback, and basic performance metrics tracking. Includes prompt editor, version diff viewer, and integration with OpenAI/Claude APIs for testing prompt variants.

Tech Stack: Node.js/Express, PostgreSQL, Redis, React, Docker, GitHub API, OpenAI/Anthropic APIs

Components:

- Prompt Versioning & Repository Engine

- Performance Testing & Evaluation Framework

- Prompt Marketplace & Sharing

- Analytics & Monitoring Dashboard

- CI/CD Integration & Deployment Pipeline

Quality assessment: Strong market fit and clear value proposition (Git-like prompt versioning addresses a real pain point for AI teams), solid technical architecture with proven stack, but lacks originality (multiple competitors exist: Promptly, Humanloop, LangSmith) and the artifact is incomplete (target_audience field cut off, MVP scope truncated, no discussion of differentiation or go-to-market strategy).