Owning the User-Facing Workflow

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Filip Kozera, CEO of Wordware, on the rise of vibe doing

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the models are getting smarter at such a fast pace that it's not wise to power the layer just below them.
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This marks a shift away from selling picks to builders and toward owning the user facing workflow where habit, memory, and trust compound. If model labs keep absorbing the thin orchestration layer right above the model, standalone startups need to sit higher in the stack, where they can manage inboxes, meetings, files, and approvals across many tools and become the place where work actually gets done.

  • Wordware learned this the hard way. Its first product reached $1M ARR in two weeks and saw 10 million users try agents, but the company concluded that selling agent infrastructure meant too much custom engineering and too little durable product surface. Sauna is the rebuild around a direct assistant and workspace.
  • The coding market already showed the pattern. Lovable, Bolt.new, and Cursor won attention by packaging model output into complete workflows, with chat, preview, editing, deploy, and handoff in one product. The winner was not the company closest to the base model, but the one that turned raw intelligence into a usable job flow.
  • ElevenLabs is the adjacent example in audio. It started with model quality, then moved up into cloning, editing, dubbing, marketplaces, and enterprise workflows. That is the same strategic move, from raw capability to finished application, where pricing power comes from solving the whole task instead of exposing a primitive.

The next phase favors products that act like an operating layer for knowledge work, not just a wrapper around a model API. As Claude, OpenAI, and others keep improving the core intelligence, the durable startups will be the ones that own persistent context, background task execution, and the review loop that lets people trust AI with real work.