Developer swaps autonomous AI agent for deterministic routing to cut costs and boost control

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A developer built an agent that autonomously managed a calendar scheduling assistant, but it repeatedly called the model and databases, making a single message cost over a dollar in tokens. Engineering flaws contributed, yet the developer judged the design unsustainable even after fixes. They rebuilt the system with the same user-facing behavior but a deterministic architecture of AI nodes and switches that tag workflow state and route messages. The new design reduced costs and gave the developer more control and better security by limiting the AI's autonomy, following the least-privilege principle. The author argues this principle deserves more attention from developers building AI systems.

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