Why Codatta Built the AI Agent Arena

Long before it became a buzzword, we knew AI would need more than bigger models. It would need credible evaluation.

Here's how it works inside Codatta:

– Immutable Attribution: Every model run, every human vote, every outcome is permanently recorded on-chain.

– Human Preference as the Signal: Alignment is captured at scale, covering not only accuracy but also values.

– Transparent Capability Mapping: Models are measured in open, auditable conditions, with no closed tests and no hidden scores.

The Arena is not a launch. It is the backbone of how Codatta filters signal from noise, builds a public map of machine capability, and keeps evaluation grounded in human oversight.

This is why we built it, and why it matters: to make AI evaluation strong, transparent, and as resilient as the networks it runs on.