The control flow in a dependable agent belongs to deterministic code around the model, with the model consulted only at a few chosen points where open-ended reasoning is genuinely needed.

The article advises that ordinary code — sequences, conditionals, limits — should own the loop and stopping conditions, while the model is reserved for judgment calls that require reasoning, with hard caps on iterations as an escape hatch. ✦ AI generated

Best Practices for Building AI Agents That Work in Production (author) · ByteByteGo Newsletter · 2026-07-22 · original ↗

Picture the overall flow as ordinary code, a sequence of steps, conditionals, and calls to external systems. At two or three points in that flow, where a decision genuinely calls for judgment, the system invokes the model. Everywhere else, plain deterministic logic does the work because it is cheaper to run, predictable in its output, and straightforward to test.

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