Owning the AI Creative Workflow

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Coco Mao, CEO of OpenArt, on building the TikTok for AI video

Interview
If we simply relied on model capabilities, users might bypass platforms entirely
Analyzed 5 sources

This claim says OpenArt is trying to own the workflow, not the raw generation step. Better models will keep making image and video creation cheaper and easier, so a standalone generator gets squeezed. OpenArt’s defense is to become the place where users keep recurring assets like characters, story worlds, templates, and editing flows, then swap in whatever underlying model is best at that moment.

  • OpenArt already shifted this way in image creation. It bundles 100+ fine tuned models with simple edit actions like sketch to image, upscaling, and face replacement, and sells credits for finished outputs rather than charging for access to one proprietary model.
  • In video, the market is splitting. Foundation model players like OpenAI and Runway win power users who want maximum control. Product companies like OpenArt win creators and SMBs by turning multiple models into a push button tool that makes consistent characters and full videos from a story.
  • This is the same pattern spreading across AI video. As generation features become common, the durable products add hosting, publishing, analytics, templates, and collaboration, because those pieces keep users anchored after the first video is made.

The next leg of competition is moving from best model access to best system of record for creative work. The winners will be the products that store brand assets, preserve character continuity, and turn one prompt into a repeatable publishing pipeline across formats. That is how an AI media app stays essential as models improve underneath it.