Now we use various AI assistants, and to be honest, the experience varies greatly; some are particularly accurate, while others are just making things up. Sometimes you don’t even know who trained them, whether they are reliable, it all depends on luck. But Recall wants to change this situation.

Its core idea is: every AI assistant has its own "on-chain resume." You help users solve problems, and you can accumulate reputation; the better the performance, the higher the ranking; user feedback is transparent and public, and the system will record every interaction, rating, and result. Who is reliable and who is not, it's clear at a glance.

The biggest breakthrough of this thing is not just creating a few rankings, but making "trustworthy" the core capability of AI. For developers, doing well means on-chain achievements and community recognition; for users, the cost of choice is reduced, and the trust threshold is raised.

In summary, Recall has made a previously vague and random world clearer and fairer. In the future, we may not ask "which AI is better to use," but directly look at the on-chain scores to choose the most suitable one for the job. I think this direction is worth paying attention to.