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Privacy Focused AI API: Protect User Data While Using LLMs
Shipping an LLM feature used to feel like a straightforward “send prompt, get response” workflow. The privacy conversations came later, usually when someone asked where the prompt went, how long it was stored, and whether internal logs might accidentally capture sensitive information. If you build for users, privacy stops being a checkbox. It becomes an engineering constraint. And the API you choose determines how much control you get, how many accidental leaks are possi
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