Cross-AI Workflowsbeginner · ~120 min

Did You Get the Picture You Asked For? — One AI Draws It, a Different One Describes It Blind

When you ask an AI for a picture, the thing that decides whether you can use it is not whether it looks good — it is whether it contains what you actually asked for, and you are the worst possible judge of that, because you know what you wanted and your eyes fill in the rest. This project gives you a small, repeatable gate: a brief written in countable requirements, the picture drawn by one AI system, a literal inventory of that picture written by a completely different AI system that has never seen your brief, a text-against-text comparison that is allowed to answer "I cannot tell", and a short record of who drew what — so the day someone asks where the image came from, you have an answer instead of a memory.

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What you'll do

A working image-audit gate you own and can run on any AI-generated picture before you publish it: a counted brief written as numbered, checkable requirements and frozen with a checksum, one image generated from that brief verbatim by one AI system with the engine and model name recorded as displayed, a no-model deterministic check that catches the wrong file type and the wrong aspect ratio before any judgement happens, a genuinely blind literal inventory of the image produced by an AI system from a different company that never receives your brief, a text-against-text audit table with PASS, FAIL, and UNVERIFIABLE as equally legitimate verdicts, a human adjudication step where your own count outranks both machines, a provenance check that records what Content Credentials and SynthID can and cannot prove about your file, an append-only ledger row per image, and three drills you have actually run — a constraint the generator breaks, a screenshot that destroys the provenance, and the generator being out of quota.