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What is AI product development?

Short answer

AI product development is the practice of building product features whose behaviour depends on a machine-learning model, usually a language model. It differs from ordinary product work in three ways: output is probabilistic, quality must be measured with evaluations, and launch plans need guardrails for wrong answers.

Last verified
24 Sep 2026

The detail

Traditional features either work or have a bug. AI features work most of the time, so teams need to decide in advance how often is often enough, and what happens when the feature is wrong.

That changes the process: the evaluation set is written before the feature, launches are staged, and monitoring watches quality rather than only uptime.

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How do you evaluate an LLM feature before launch?

Build an evaluation set of at least 50 real inputs with expected outputs, grade responses with a mix of exact checks, model-based graders and human review, and set a pass threshold before launch. Run the same set on every prompt or model change so regressions are caught before users see them.

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