Frontend State for Generated Content: Drafts, Previews, and Recovery

Generated content creates unusual frontend state. The user may have a prompt, a pending job, a partial result, a preview, edits, saved versions, failed retries, and credit-related messages all in the same workflow. If state is not modeled clearly, the interface becomes confusing.

Separate generation state from editing state

In IaGenify, generating a website and editing the generated result are different phases. The frontend should not treat them as one loose object. Generation state answers what the system is doing. Editing state answers what the user is changing.

Generated content should move through states, not float around as an unstructured response.

This makes the interface easier to reason about. A failed generation should not erase an existing saved draft. A preview should not become published content until the user confirms it.

Useful states to model

• Idle: the user has not started or has returned to a neutral state.
• Submitting: input is being validated and sent.
• Generating: the backend job is running.
• Previewing: output is available but not final.
• Editing: the user is modifying content or structure.
• Saving: changes are being persisted.
• Error: recovery options are visible.

These states reduce ambiguity and help the UI display the right controls at the right time.

Recovery is a product feature

AI workflows can fail because of model errors, validation problems, network issues, or malformed output. The frontend should preserve what it can, explain what happened, and offer a safe retry path.

References like React state management guidance, MDN Fetch API documentation, and web.dev accessibility lessons help ground these patterns.

CTA: Model the workflow before coding the screen

Write down every state your generated content can enter. Then design the UI around those states. The result will feel more stable, even when the AI output varies.