The problem is not the tool.
It's the context.
You already have the knowledge. The decisions that guide your work, the experience that prevents mistakes. None of it reaches the AI you work with. That's what Yap is for.
Yap captures what you know and makes it usable where you work.
Not through documentation you have to write and maintain, but through structure that emerges from decisions you're already making and conversations you're already having.
That structure lives outside any single tool. It follows you across everything you use, so nothing starts from zero. What you've decided, how you communicate, what you've learned. It's all there from the first prompt.
Semantic apps
Your domain knowledge lives in apps that understand what they contain. Not files and folders, but structured concepts: projects, decisions, contacts, workflows. Each app carries its own context, skills, and rules.
Workspaces
A workspace is where your apps, your team, and your context come together. It defines the boundaries of what your AI can see and act on. One workspace per domain, shared across every tool you use.
Progressive context discovery
Your AI doesn't get everything at once. Yap loads context progressively as it's needed: workspace first, then apps, then the specific knowledge that matters for the task at hand. Precise context, not noise.
Your context, your rules
Your tools
Your context doesn't belong to one tool. It follows you to Claude today, ChatGPT tomorrow, and the tool that hasn't been built yet.
Your workflows
Yap doesn't dictate how you work, but adapts to your processes. Your context grows through the work you're already doing.
Your data
The knowledge that grows through your work belongs to you. Not a platform. Not a vendor. Portable, structured, under your control.
