Original Summary

I’ve been building Orinyx, my first standalone AI developer tool, and I’m getting ready for its initial open-source release on November 1. The problem I’m working on is straightforward: An AI agent can complete a workflow and still produce an incorrect result. How do we independently verify that output? Orinyx is being developed to help check agent-generated outputs against defined requirements and supporting evidence, rather than relying exclusively on the agent’s own response. The first release, Orinyx MCP R1, is free and open source. We’re starting with healthcare-related evaluations, where errors involving medications, clinical information, and terminology can be particularly consequential. I’m looking for developers willing to try the initial release, share integration feedback, and help identify where the verification experience needs improvement. It’s currently undergoing design reviews, and the planned release is October 29th If you’re interested in early access, you can sign up at: https://orinyx.io I’m especially interested in connecting with developers already building AI agents or MCP-based workflows.   submitted by   /u/Practical_Green5775 [link]   [comments]

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/14 21:48:43