Anybody else struggling with constant approvals? Are you reading all of them?
Summary
反思AI代理审批流程中人类把关的有效性，提出将小项审批批量处理为每日摘要以保持关注度，而非即时逐项审批。
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@knoYee_: https://x.com/knoYee_/status/2062780637677752366
The author reviews three months of experience using multi-agent collaboration, summarizing five main pain points (such as conflicts between agents, ignoring boundary conditions, self-censorship failure, difficulty in merging decisions, and exposing harder problems after compressed execution) and two insights (the high value of read-only review agents, and that agent conflicts expose ambiguous requirements), emphasizing the core decision-making role of humans in AI collaboration.
Approval is not review if the human cannot inspect the action
The article argues that human approval for AI agent actions is insufficient without detailed inspection of the action's context, changes, reversibility, and ownership, especially for high-risk tasks.
Do AI agents spend more time waiting for humans than actually working?
A reflection on how AI coding agents often stall while waiting for human approval, highlighting that human availability can be a bigger bottleneck than model capability.
How are you actually deciding which agent actions need human approval before executing?
The article discusses the challenge of determining which AI agent actions require human approval, citing a $27M unauthorized transfer in January 2026, and proposes a framework based on reversibility and impact.