AI doesn’t fail because it’s dumb.
It fails because it trusts the wrong data.
That’s the real bottleneck.
@Walrus 🦭/acc is solving this at the root by giving AI agents and apps something they’ve never had natively: provable inputs.
Real use case?
Autonomous systems that can verify every dataset, signal, and update before acting.
Think:
• trading bots that reject tampered feeds
• AI agents that audit their own sources
• enterprises that prove data lineage end-to-end
• on-chain analytics with cryptographic history
Walrus turns raw information into verified infrastructure.
$WAL aligns everyone in the loop producers, validators, consumers so honesty becomes economically enforced.
Most projects build faster systems.
Walrus builds trustable ones.
And in an agent-driven future, that’s the real edge.
