Shipping AI Features That Last
Practical patterns for integrating LLMs into real products without destroying quality, cost predictability, or user trust.
The AI features that survive are the ones that treat the model as one component in a larger system — not the entire product. They have evaluation harnesses. They have fallback paths. They have humans in the loop for high-stakes decisions.
The most useful thing you can do before shipping any AI feature is to write a boring, deterministic version first. If that version isn't valuable, the AI version won't be either.
Cost, latency, and quality are a triangle. Pick two, communicate the trade-off, and monitor all three obsessively.
MD. Hazrat Ali
Founder · Product Builder
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