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The author shares five patterns that consistently kill AI agents: too many jobs per agent, no human-in-the-loop for destructive actions, unstructured outputs, no spend caps, and lack of uncertainty escalation paths. Practical guardrails and a checklist for reliable agent deployment are provided.
LLMCap is a proxy service that enforces hard dollar caps on LLM API calls, blocking requests when a user-defined budget is exceeded. It integrates with major providers, offers a VS Code extension, CLI, and Windows tray app for spending visibility.