#opg $OPG Most decentralized AI projects fail quietly not because the model is wrong, but because the infrastructure around it can't keep up with what an agent actually needs to do.

An AI agent making a real-time decision doesn't just need inference. It needs live external data, a verified proof, and a stored model often within the same transaction window.

This is where @OpenGradient 's architecture becomes interesting to watch. HACA deliberately separates these four responsibilities: execution nodes, verification nodes, data nodes, and storage each handling one job through defined interfaces, not shared processes.

The official docs are transparent about the trade-off: proof verification happens asynchronously after inference. The user gets a response at web2 speed. The cryptographic guarantee follows.

That's a reasonable design compromise. But it means the "verifiable" part and the "real-time" part are never quite simultaneous.

Whether that gap matters depends entirely on what's being built on top of it. $OPG For financial agents where the output drives an action does delayed verification still count as verified?....