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Image Generation Without Surrendering Archives
A reference image is often part of a much larger private archive. AI products should treat uploads as narrow inputs, not open invitations.
Generating an Image Is Not Keeping One
Transient processing and durable retention are different product choices. Keeping uploads or outputs creates obligations that pure generation may avoid.
Temporary Uploads Need Retention Rules
Temporary uploads still move through caches, queues, retries, previews, logs, and delivery paths. Each needs a retention answer.
Prompt History Is Product Data
Prompt history is not harmless metadata. It can reveal customer intent, private context, source material, strategy, and identity.
The Case for Zero Prompt History
Zero prompt history is a product choice that reduces exposure, simplifies support access, and makes privacy easier to explain.
Why Deleting Uploads Must Be Verifiable
Deletion is not a button label. For AI image uploads, it has to cover originals, outputs, thumbnails, caches, logs, galleries, and support surfaces.
When a Photo Edit Becomes a Data Problem
The edit can be harmless while the data path is not. Copies, previews, logs, caches, galleries, and third-party tools can make a small task risky.
Why "No Training" Is Not Enough
Training is only one way user content can be exposed. Retention, logs, human review, caching, galleries, and third-party routing matter too.
Why Your AI Gallery Might Be a Liability
A saved gallery can be useful, but for private image generation it also turns outputs, thumbnails, and histories into retained customer content.
What Private AI Should Mean in Plain English
Private AI should describe real product behavior: where content goes, who can see it, what is retained, and what gets deleted.
Private Images Without Prompt Retention
Prompt retention changes the risk profile of every creative tool. Here is the simpler standard private image systems should meet.
How to think about zero retention for AI images
Zero retention is not one checkbox. It is a set of product and infrastructure choices that reduce where user content can live.
How to evaluate private AI image tools
A practical checklist for judging whether an image generation product is actually private enough for serious work.