xr2.uk's answer

xR2 is an early-stage product currently in beta.

xr2.uk's answer

xR2 bridges the gap between engineering and product teams. Product managers can manage AI prompts, run A/B tests, and track conversion metrics — without waiting for developers to redeploy. Engineers get a clean API and SDK, while product teams get a dashboard with versioning, traffic splitting, and real-time analytics. Plus, xR2 is the only prompt management platform with native modules for n8n, Make, and Zapier.

xr2.uk's answer

Competitors like Langfuse and PromptLayer focus on developer observability — logs, traces, debugging. xR2 focuses on business outcomes: which prompt version converts better? How does a prompt change affect user behavior? Product managers can update prompts, launch A/B tests, and measure results without touching code. Developers can integrate via REST API, Python SDK, or no-code modules for n8n, Make, and Zapier.

xr2.uk's answer

Product managers and engineering teams who use LLMs (ChatGPT, Claude, etc.) in their products and workflows. No-code automation builders use native modules for n8n, Make, and Zapier.

xr2.uk's answer

xR2 was born from a real problem. While building automation workflows with n8n and Make, I had AI prompts hardcoded across dozens of scenarios. Every time I wanted to tweak a prompt, I had to find every workflow using it, update each one manually, and hope nothing broke. There was no way to test which version worked better. So I built xR2 — a central place to manage all prompts, push updates instantly, and measure what actually works.

xr2.uk's answer

Python (FastAPI) for the backend, PostgreSQL for the database, React with TypeScript for the frontend, Docker for deployment, and Nginx as a reverse proxy. The platform is hosted on a dedicated server with Cloudflare for CDN and security.