Define Agent Stop Conditions First
Hot-Leadership-6431 · reddit · 2026-07-11
The author argues that before letting an AI agent modify records, send messages, move files, or alter customer systems, you must clearly define the rules for "when it must stop."
They provide a minimal but practical set of workflow design items: trigger conditions, running state, actions that can be drafted but not executed, approvers, stop reasons, and audit logs. The focus isn't on model selection, but on explicitly defining stop reasons for situations like missing inputs, low confidence, account mismatches, page changes, rate limits, policy warnings, and unexpected costs.
They also recommend placing high-risk actions like fund transfers, outgoing emails, public releases, and customer record modifications behind an approval process. The goal is to make failure logs "sufficiently boring" first, before gradually reducing manual review. The author discloses they work at Agentlas, though no external links are included in this post.
Related event: Safety Mechanisms and Architecture for Production-Grade AI Agents(4 posts)→
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