Introduction

AI makes humans faster. Nothing makes sure they're still right.
Every AI tool today addresses information flow: search, summarize, generate, automate. None addresses the human operating the stack. That gap, between rising AI capability and fixed human cognitive capacity, widens with every model release.
The Cognitive Performance Layer is the layer that closes it.

The problem it solves

Modern knowledge work is drowning in tools and information while focus keeps slipping. The numbers are not subtle:
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40% of the workday is lost to cognitive friction (APA / Asana). It takes 23 minutes to recover focus after a single interruption (Gloria Mark, UC Irvine). Knowledge workers switch context roughly 1,200 times a day (HBR, 2022). Distracted work costs the US economy $650 billion a year (Basex / Economist Impact).
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Now put the most powerful AI in history on top of that overloaded human. The danger is not slow work. The danger is bad decisions at machine speed.

The missing layer

Look at the modern AI stack. Billions are invested in smarter models, faster inference, better agents, richer integrations. Every layer gets optimized, except one: the human deciding in the middle.
That is the missing layer. The Cognitive Performance Layer sits between the user and AI. It senses cognitive state from passive behavioral signal, modulates AI behavior to match the user's current capacity, and reshapes the workspace so the human stays sharp enough to use AI well.
Not another dashboard. Not another productivity app. A layer.