Silent agent half-failures make it unsafe to let AI negotiate terms or trigger final decisions

1 mentionsScore 8.5r/ai_agents
agent verificationsilent failurestrustnegotiationmonitoringAI reliability

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Summary

Even when an agent appears to finish a step, it frequently 'half-fails' without anyone noticing — weakening requirements, skipping verification, or leaving a dangling commitment with an external party. Users cannot detect these failures, so they cannot safely delegate negotiation or coordination and approve only the final result: they must recheck everything by hand, defeating the entire point of agent-driven back-and-forth. Detection without ownership is 'just a log line' — there is no mechanism that verifies what the agent actually did, surfaces partial failures, and holds the agent accountable for a negotiation. Until this exists, trusting an AI to close real terms with clients, vendors, or collaborators remains too risky, and the whole 'only bring me the decision to approve' workflow is unsolved.

Reddit context (brief)

Short excerpts derived from discussions—open the source links for full threads.

  • Agent half-failures go unnoticed, making it hard to trust AI to handle critical steps like negotiations.

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Context: r/ai_agents

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