AI Native Apps Control Workflows
Jasper: the $72M ARR Google Suite of generative AI
The real edge in AI software comes from controlling the whole workflow, not just adding a generate button. An incumbent can place AI in Word, Docs, or Photoshop, but those products were built around human-first steps like opening a file, clicking menus, and editing line by line. AI native apps start from a different premise, the product should know the job to be done, pull in context, generate a first draft, and keep the same voice across every app where work happens.
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Jasper was built around this idea early. It moved from a standalone copy tool toward a Chrome extension and deeper integrations so writing help appears inside Facebook ads, Google Docs, HubSpot, and Webflow. The point is not one document. The point is one shared company voice wherever text gets written.
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Bundled copilots from Google and Microsoft are powerful, but much of the current experience still lives in an in app panel or draft assist flow inside each product. Google describes Gemini as a side panel across Workspace apps, and Microsoft describes Copilot in Word as a drafting layer inside the document. That is useful, but it is still anchored to each app’s existing surface area.
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The closest comparable is Grammarly. It won by living across the web, not inside one editor, then later moved to add a fuller workspace through Coda. That arc shows the tradeoff clearly. Cross app utilities feel more AI native at first, because they follow the user across workflows, but over time they also need their own system of record to stay differentiated as suites bundle similar features.
This market is heading toward products that combine both approaches, a native workspace plus a cross app agent layer. The winners will be the companies that can carry context, tone, permissions, and actions from one surface to another without making the user restart in every app. That is where AI stops feeling like a feature and starts feeling like the product itself.