How One Platform Built a Single AI Checkout Protocol Across Chat, Voice, and Phone

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An AI storefront platform has developed a unified checkout system that works identically whether a customer types, speaks, or calls in, completing orders through a brief conversational exchange. The architecture separates responsibilities sharply: a language model handles conversation flow while a deterministic server-side core makes every actual checkout decision. The core returns one of five typed outcomes — such as missing contact info, empty cart, or successful submission — rather than relying on the model to interpret free-form responses. Customer data used to place orders is resolved server-side from tool results, never from the model's prompt, reducing the risk of errors or manipulation. Multi-turn conversations are kept on track through accumulated confirmation flags, ensuring no step can be repeated or skipped without the core's approval.

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ProgrammingDEV Community ·

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