Theory of Knowledge,
Tokai fuses EEG brain-computer interface data with agentic AI to help neurodivergent minds focus, plan, and perform — continuously and empirically.

Traditional productivity tools ignore your biology. Tokai reads it.
Track Focus Index, Bio Energy, Mental Fatigue, Working Memory Load, Theta/Beta Ratio, and four more cognitive signals — live. Works from a 30-second self-report, simulated data, research EEG datasets, or a real BCI headset.
TokAgent (powered by Claude) reads all nine neural metrics alongside your tasks, journal, and medication log — then takes direct action in your workspace: creating tasks, starting timers, logging entries, all from a natural-language command.
Neural data never leaves your browser. All cognitive metrics are held in session memory only — never written to a server. Behavioral data (tasks, notes, medications) is isolated per-user via row-level security at the database level.
Three steps from cognitive state awareness to a smarter workday.
Start with a 30-second self-report check-in — no hardware required. Switch to simulated mode for demos, dataset replay for research, or plug in an EEG headset for live neural streaming.
Nine metrics update in real time — Focus Index, Bio Energy, Mental Fatigue, Working Memory Load, and more — giving you an empirical picture of where your brain is right now.
The AI planner recommends the right task for your current cognitive state, executes commands directly in your workspace, and keeps a transparent audit trail of every action it takes.
Tokai computes a continuous Focus Index from your chosen data source — self-report, simulated, EEG dataset replay, or live BCI — giving you an empirical cognitive baseline without requiring any hardware to get started.
Focus Index
LiveOptimal focus window · 38 min remaining
Bio Energy
72%
Neural Noise
Low
α/β Ratio
0.41
Mental Fatigue
31
WM Load
42
Hyperfocus
12%
TokAgent
High focus detected. Recommend starting your most cognitively demanding task now.
Six integrated tools, all driven by your neural data.
Nine live cognitive metrics — Focus Index, Sleep Quality, Bio Energy, Mental Fatigue, Working Memory Load, Neural Noise, T/B Ratio, Focus Window, and Hyperfocus Risk — each tagged with the data source driving it. BCI-only metrics dim automatically in self-report mode.

A Claude-powered AI assistant that reads all nine neural metrics alongside your task list, journal, and medication log — then takes direct action via ten tool-calling actions. Uses Claude Sonnet 4.6 for planning, Haiku 4.5 for fast inline recommendations. Bring your own API key; it never touches Tokai's servers.

A focus-aware task manager where each task carries a cognitive demand score matched against your live Focus Index. Set time estimates, deadlines, and emoji tags — TokAgent uses all of this to surface the right task at the right moment.

An ADHD-friendly journal with mood tagging and focus logging. Capture how you feel throughout the day and let TokInsights surface correlations between your journal entries and cognitive patterns over time.

Medication and supplement tracking with timestamp-anchored markers on your focus charts, so you can see exactly how each dose correlates with your cognitive state throughout the day.

Automatic, device-local analysis of your productivity patterns — when you focus best, mood correlations with task completion, and weekly cognitive trends. All analysis runs in your browser; no data leaves your device.

Researchers and engineers from NTU, NYCU, Temple, and beyond.

Seth Austin Harding
Founder & Lead Researcher
NTU CSIE

Prof. Shih-Wei Liao
Supervisor
National Taiwan University

Prof. Li-Wei Ko
BCI Research Advisor
NYCU Brain Research Center

Prof. Ming-Fong Sie
Research Advisor
Chung Yuan Christian University

Hao-Yuan Chen
AI & SaaS Advisor
Mindify AI · University of London

Tony Siu
AI Advisor
Temple University
Early adopters who helped shape Tokai.

Bernadette Harding

Farley Warner
Robert Harding

Stella Liu

Alexander André

Ting-Wan Wu

Mickey Osborne
Winson Widyanata

Lauren Dravis

Alexander Frankish

Samuel Yang