@rohitrathiiii · X

@DacyoUI · X

- automate your blog and content publishing

u/inc_23 · Reddit

Hey, I created a tool that catches when your LLM is confidently wrong, in production, in real time — looking for beta testers. Your bot sounds sure of itself even when it's wrong, and you usually only find out when a customer complains. Auscope audits every LLM response in the background: 3 models from 3 different providers independently check it, a 4th "chairman" model resolves disagreements, and you get one verdict — verified, uncertain, or unreliable. Runs async, doesn't slow your respon

@YKoltashev · X

@Wovyr · X

@sahiinthehood · X

@allenjones126 · X

I’m building a form builder, form backend and a lead pipeline in one tool.

fran-mora · HN

I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.

cdnsteve · HN

Tokenstead, find AI models for your hardware

@MM_AFRAZ · X

@rofarkas · X

@MBrew26730 · X

Dataset cleaning + fine tuning + continual learning at