If AI agents become everywhere, how do we know which ones to trust?

A lot of AI discussion still seems to focus on performance. Which model is smarter, which agent is faster, which tool has better reasoning, etc. That obviously matters. But I’m starting to wonder if that becomes less useful as the number of agents grows. If there are only a handful of agents, you mostly compare capability. But if there are thousands or millions of agents, the harder question might be: which ones do you actually trust? Has this agent done similar work before? Can you see its track record? Do other users trust it? Was the output checked somehow? Who is deciding which agents get surfaced first? That sounds less like a model-performance problem and more like a reputation/discovery problem. The future agent economy may need more than better agents. It may need ways to find agents, compare them, verify their history, and decide which ones are worth using without relying entirely on one platform’s ranking system. Curious what people here think. Should agent reputation be platform-controlled, user-reviewed, open and portable, on-chain, or something else?