After months of building and testing, Orinyx is officially in public beta! Orinyx is a developer-first AI verification tool designed for healthcare and life sciences applications. The idea came from a problem I kept running into: AI-generated outputs can look accurate without being fully supported by the underlying evidence. In healthcare, that distinction matters. Orinyx is being built to help developers identify unsupported claims, validate outputs against source evidence, and catch issues before they make it into production workflows. The public beta includes free, open-source MCP tooling, healthcare-focused verification workflows, and evidence-based validation capabilities. I'm also continuing to improve semantic mapping, medication verification, and overall test coverage. This is an early public beta, not a finished product. I'll be releasing incremental updates as testing continues, and I'm actively looking for developers willing to put it through real-world scenarios. I'm particularly interested in understanding where verification breaks down in existing AI workflows, what would make a tool like this useful in practice, and which edge cases deserve more attention. GitHub: https://github.com/lexthirteen-ai/orinyx-mcp Developer beta: https://orinyx.io/developer If you're working with MCP, LLM evaluations, healthcare AI, or agentic systems, I'd love for you to try it, break it, and tell me what needs improvement. I'm also happy to answer questions about the architecture and what I've learned building it.   submitted by   /u/Practical_Green5775 [link]   [comments]