Completion Standards and Trust Protocols for Agents
AI Engineer · youtube · 2026-07-12
This talk addresses a real-world issue: **when agents generate workloads far exceeding human review capacity, what does 'done' actually mean?** The argument is that future agentic work must establish stronger **trust protocols** rather than just faster outputs: - 'Done' must correspond to a **clear standard** - Artifacts must come with **evidence** - Reviewed by appropriate **verifiers** - Clear ownership of **residual risks** - Explicit authorization for **next steps** The talk also mentions Paperclip's **liveness model**, aiming to eliminate 'approval theater' by auto-routing tasks for review based on risk, shifting the agent's completion state from a vague 'I think it's about done' to a verifiable state that others can safely pick up.
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