The Kandinsky API, powered by FusionBrain, operates asynchronously, returning a task UUID and status rather than an immediate image. Developers must poll a separate status endpoint to determine if the generation is complete. Even upon successful completion, the API does not provide information regarding the image's suitability for product integration, moderation status, storage, or cost, as these aspects fall under product management rather than the API platform itself. This article advocates for designing a robust status-tracking system before scaling image generation, treating the output as raw material rather than a finished product. AI
IMPACT Highlights the complexities of integrating AI image generation into products, emphasizing the need for robust post-generation workflows.
RANK_REASON The article discusses the operational details and limitations of an existing API, rather than a new release or significant industry event.
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