Generative media research, tested in the open.
Your export is carrying more than pixels. We audited the metadata, watermarks, and C2PA credentials left by common generative image, video, and audio tools, then traced what survives editing, screenshots, and social uploads. Here is the pre-publish checklist and the disclosure decisions product teams should make explicit.
Studio demos make every talking-head API look like magic. We ran five of them through real US creator footage — regional accents, kitchen lighting, compressed webcam video — and scored sync, artifacts, latency, and cost. Here is the decision matrix we would actually use.
The same prompt can produce a different video three weeks later because the model, safety layer, codec, or default settings moved under your feet. Treat generative media like a dependency: log the run, hash the output, and regression-test the weird stuff.
A cloned voice can pass a 15-second demo and still fall apart in a support call, a noisy car, or a 20-minute narration. Here is a compact 2026 test plan for speaker similarity, artifacts, latency, and cost—plus a procurement checklist that survives contact with real users.
Policy pages do not stop a bad generation. These seven interface and API patterns, from authorization flows to consent receipts and C2PA export prompts, turn consent into something users can see, use, and revoke.
We handed the same neo-noir short-film brief to ten generative video engines, capped the spend, and scored the outputs on consistency, camera control, audio, latency, cost, and licensing. Here is the prompt pack, the scoreboard, and the workflow guide we would actually use.