I've learned to treat demo products as the most honest thing a project publishes. Marketing copy can say anything. A live application either works or it doesn't.
Twin.fun runs AI agents on OpenGradient's infrastructure. Digital personas that respond, remember, and interact in real time. The latency question is the one that matters for this kind of application because a conversation that pauses noticeably while a proof gets generated isn't a product. It's a prototype.
What I found was response times that felt closer to Web2 than I expected from a system running verifiable inference underneath.
Whether that holds under load, when thousands of agents are running simultaneously, is the test a demo environment doesn't replicate.
Impressive in controlled conditions. The real benchmark is production scale.
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