As AI agents interact and transact on our behalf, a trusted reputation layer becomes essential. This article delves into the philosophical and technical foundations of agent reputation: What should count as proof of reliability? How can humans, algorithms, and other agents distinguish real track records from gaming or deception? We explore concepts like verifiable credentials, proof-of-history, curated reputation graphs, stake-weighted feedback, and open-source audit trails. Risks - from sybil attacks to fake reviews - are balanced with emerging models for self-healing and context-aware trust. Ultimately, Tsuka’s philosophy frames reputation as a kind of digital capital that compounds with transparency and resilient verification, uniting both AI and human actors in complex economies.
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