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Show HN: Enoch – Control Plane for Autonomous AI Research
I built Enoch after working with OpenClaw and trying to get an agentic coding system setup with Codex. In the past, I was trying to manually generate, code, and test this all manually. Then - I figured I'd try to start automation. Too many times have I typed "Continue" and gone back to my work. I figured I could automate that. Well - Enoch is what stemmed from that.<p>My first implementations were a mess with OpenClaw. I'll spare you the details. I moved to n8n. n8n was not bad but it felt like I had to strong arm it to do what I wanted. Had issues, but less.<p>Then this system - LangGraph / FastAPI... it has been working pretty well. The papers generated seem to have meaning. Generation of ideas have shown to have some positive substance. All ideas are grounded on a basis of pass / fail or positive / negative - based on criteria set on idea generation.<p>I will spare you too much reading.<p>Disclaimer: Yes, I used Codex to help code and Claude for some verbiage. I am not new to coding but I know there is a huge stigma in the business for this AI coding assistance bits. AI has helped to allow me dump my ideas down to a worker - and not have to take the time to sit and learn to code to get ideas out. Democratized software could have a grand effect.
Enoch targets the high-growth niche of autonomous AI agents, but currently lacks a technical moat or significant market traction. The founder's admission of using AI to bypass learning to code suggests a low barrier to entry and potential difficulties in scaling complex infrastructure.