The Future of AI Workspaces
Why we believe AI should be infrastructure, not a feature — and what that means for the future of work.
The Future of AI Workspaces
There's been a lot of hype about AI in productivity tools. Chat interfaces, AI assistants, smart suggestions. But we think most of it misses the point.
AI as a Feature vs. AI as Infrastructure
Most tools treat AI as a feature — something you invoke when you need it. "Hey AI, summarize this." "AI, write me an email." It's useful, but it's fundamentally limited.
We believe AI should be infrastructure. It should be woven into the fabric of how you work, not bolted on as an afterthought.
What This Means in Practice
When AI is infrastructure:
Context is Always Available
You don't have to explain your project every time you ask a question. The AI understands your work because it's part of your workspace.
Connections Surface Automatically
That idea you had three months ago? It's connected to what you're working on now. Infrastructure-level AI sees these patterns and brings them to your attention.
Structure Emerges
Instead of you organizing everything manually, patterns and categories emerge from your actual work. The AI helps crystallize structure, not impose it.
The Technical Challenge
Building AI as infrastructure is harder than building AI as a feature. It requires:
- Deep integration with every part of the workspace
- Real-time understanding of context and relationships
- Privacy-first architecture (your data is yours)
- Incredible performance (no one wants to wait)
We've spent the last year solving these problems. We're not done, but we're far enough along to be excited about what's possible.
Looking Ahead
The future of work isn't about AI doing your job for you. It's about AI amplifying what you're capable of. Helping you think bigger, connect more dots, and move faster.
That's the future we're building toward.
Interested in being part of this future? Join our early access program.