Dev Uses Both Streaming and JSON in AI App Based on User Type

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A developer building LogicVisor, an AI-powered review tool, faced a core trade-off between streaming text responses and structured JSON when integrating an AI API. Streaming delivered near-instant feedback to users but made it difficult to store structured data in the database, while JSON responses provided clean structured output at the cost of a slower perceived user experience. Since JSON requires a complete payload before parsing, the developer could not stream and parse simultaneously, forcing separate approaches for different use cases. To compensate for the UX lag in JSON mode, loading spinners and rotating status text were added to simulate a sense of progress. Ultimately, authenticated users receive full JSON responses for richer data storage, while anonymous free-trial users get streaming responses to maximise perceived speed and first impressions.

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