The original title is about AI agent manual override queues. Let me rewrite it to be punchy, specific, and within 8-10 words.

Short summary

A well-designed manual override queue lets AI agents attempt high-value, higher-risk actions by routing uncertain decisions to human reviewers before execution. Unlike dead-letter queues or static approval gates, it uses dynamic risk assessment and attaches full reasoning traces so reviewers can make informed decisions quickly. The article covers implementation steps, evaluation criteria, and common pitfalls, though it also pitches the author's product AwaitHuman.

• •Manual override queues widen agent autonomy by giving structured human review for risky actions
• •They differ from dead-letter queues, static approval gates, and general task queues by carrying reasoning context
• •Implementation requires risk thresholds, evidence packets, reason codes, and timeout rules

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