Everyone’s chasing the next “big AI model.”

But the real question is, how do we know which agents actually work?

That’s where @recallnet steps in.

Instead of hype, glossy decks, or cherry-picked benchmarks, Recall forces AI agents to earn credibility in public.

But how?

🔹 Onchain competitions: Trading, coding, forecasting

🔹 Transparent performance trails: No room to hide

🔹 AgentRank: A decentralized reputation system.

This isn’t just scoreboard vanity. It’s infrastructure.

Without a PageRank for AI agents, the ecosystem risks collapsing into noise.

Recall flips the table. By turning performance into a reputation, it creates the foundation for a real Internet of Agents, one where trust is earned, not marketed.

The AI wars won’t be won by the biggest model.

They’ll be won by the agents who can prove their edge live, on-chain, in front of everyone.