The Adaptive Workspace for AI-Native Work
Zashboard is the intelligence layer of the Zing ecosystem. While Zing handles the active work—multimodal browsing and assistance—Zashboard is the home where that work is synthesized. It is an adaptive workspace designed to unify insights, conversations, and priorities into a single, cohesive environment.
As the Lead Product Designer, I was responsible for defining how a user transitions from a fleeting AI interaction to a persistent workflow. I designed the end-to-end experience, including the Info Hub for early-stage discovery, a dynamic Workspace for execution, and a scalable Team Infrastructure for permissions and billing. My challenge was to build a system that feels alive—organizing itself around the user’s intent rather than forcing them into a rigid, static layout.
The promise of AI is clarity, yet for many professionals, it has become just another tab to manage. Through my research, I identified a core friction point: information isolation.
Users are currently forced to bridge the gap between their browser, their chat apps, and their AI tools manually. This creates a high cognitive load where the user spends more time managing the system—deciding where to save an insight or how to phrase a prompt—than actually doing the work. Traditional dashboards exacerbate this by offering static structures that fail to reflect the fluid nature of real-time priorities. For teams, this friction is doubled by administrative bloat—complex permissioning and billing systems that distract from the actual output.
I designed Zashboard to be an AI-first environment where structure is revealed progressively. Instead of overwhelming users with a dense grid of widgets on day one, the interface expands based on behavior and context.
The architecture centers on Zing, an assistant accessible via voice or chat that follows the user across the browser. Zashboard then provides the surfaces to capture this intelligence:
