AI Disclosure

{brand.name} holds no AI provider account of its own and never resells generation. You connect your own key, currently Anthropic or OpenAI, and every step runs on it, billed to you by that provider at their price. The service assembles the prompt from your project, sends it to that provider, validates what comes back, and stores the result.

That also means the terms that apply to the generation are the ones between you and your AI provider: their training policy, retention and regional processing, not ours.

Every prompt carries the same handful of details about the project: your working title and chosen title, the language, who is speaking, your brand profile, and a target length where you have set one.

What a step receives beyond that depends on how the project was researched, because the workflow changed and older projects were not migrated:

• Projects taken through the current research chain send one compiled research document, the topic profile derived from it, and format guidance for that kind of video.
• Projects made before that chain send separate blocks instead: a format profile, the brief, the claims extracted from your sources, your source list and your notes.
• Writing steps (drafting, analysis and humanising) also send the script itself.
• The shot list and image prompts also send your chosen visual style and the frames the narration has been cut into, which contain that narration.
• Repurposing also sends the chosen title and the finished script.

Every response is validated against the expected shape before it is stored, because it becomes part of your project. We record which step it came from and which prompt version produced it, so a script version can be traced to what generated it.

We do not store the prompt text itself. It is rebuilt from your project whenever you ask for it.

Anything the model states as fact. Generated claims arrive marked UNVERIFIED and only a person can mark them supported. Idea scores are labelled as inference and come with a list of things to verify.

Dates, figures, quotations, studies and statements attributed to real people are exactly the categories where a language model is most confidently wrong. Attach a source before you publish.

Whether you tell your audience that AI assisted your work is your decision and may be governed by the rules of the platform you publish on. BYOQ does not add watermarks or disclosures to your output.