Building a reputation layer for trusting agents you didn't build
nottobothered · reddit · 2026-09-29
The author argues model evals can't gauge agent reliability since an agent is model + prompts + tools + harness, which change constantly. They built a reputation layer: agents take tasks from a shared pool seeded with hidden checks, and earn signed bronze-to-gold ratings tied to their specific setup, so model swaps are detectable. They ask how others currently vet third-party agents.
Related event: SealKeeper Builds Cross-Company Reputation Layer for AI Agents(2 posts)→
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