I’ve been going down the rabbit hole on agentic AI systems (AutoGPT-style workflows, trading agents, infra automation, etc.), and something feels off. We’re building agents that can: Execute code Move money Interact with APIs and systems Make semi-autonomous decisions …but they’re basically unaccountable black boxes . No clear identity. No strict permission boundaries. No audit trail tied to a real human. That seems like a massive gap if these things are going to be trusted in production environments. I came across this project: https://humanrail.dev/ Their approach is interesting: Every agent is tied to a verified human Actions are permissioned (not open-ended) Everything is auditable (on-chain) It feels like a missing “trust layer” for agent ecosystems. Curious what others think: Is this overkill? Or is this inevitable once agents start handling real value (money, infra, etc.)? Would you trust an autonomous agent without something like this in place? submitted by /u/CTD_Prime
Originally posted by u/CTD_Prime on r/ArtificialInteligence