An AI Creation Product Is More Than a Model Picker

Creating AI-generated products is more than just selecting a model. An AI creation platform, such as SceneFlare, must translate a user's creative goal into a reliable generation workflow. Users do not arrive with provider-specific questions; they have a specific task in mind, such as turning a product photo into an ad concept, animating a still image, or removing a background.

When designing a product, it's essential to start with the job at hand, rather than the model. Model names matter to developers, but they are less relevant to users who need a product quickly. Navigation should be task-oriented, starting with image creation, video creation, editing, or production tools, and then making model choices visible where they are helpful.

Different models have different capabilities, output options, and pricing structures. To create a consistent user experience, a product should have its own vocabulary for describing these differences. Source assets are essential inputs to the creative operation, and the form should prevent impossible combinations early. Pricing should be calculated before the task enters the generation pipeline, ensuring that pricing estimates and server charges use the same rules.

Generation is an asynchronous state machine, and the user-visible task should have a durable state, such as pending, processing, completed, or failed. The final result should be an asset that can be reused as input for another workflow.