How to prove an AI agent output existed — x402 + NEAR anchoring in practice

The article delves into the critical issue of verifying the authenticity of outputs generated by AI agents, especially when logs and timestamps can be tampered with. It highlights the importance of cryptographic proof to ensure that a specific artifact hash can be reliably tied to an AI-generated output, safeguarding against post-production modifications. This approach is crucial in high-stakes fields like finance, code reviews, and medical summaries, where trust in AI-generated content is paramount.