AI lab for human attention systems

Human attention is becoming measurable.

CorteyMatter studies how stimulating reasoning captures, alters, and redirects human attention.

Stimulus ScanPreview

Input sample

Visual pattern + text hook + rhythm markers
Attention Capture86
Stimulation Load72
Focus Drift64
Cognitive Clarity58

Early outputs will combine AI reasoning, attention heuristics, and human-readable recommendations.

What we are building

A practical research stack for stimulation, focus, and attention.

Engagement Scanner

Upload an image or text sample and receive early attention, stimulation, clarity, and cognitive-load signals.

Attention Datasets

Curated examples of stimulus patterns across interfaces, posts, videos, products, and everyday environments.

Open Heuristics

Public scoring schemas and research notes that make the system auditable, remixable, and credible.

Focus Tools

Experiments for measuring distraction, focus drift, overstimulation, and attention recovery.

Roadmap

Start narrow. Compound into a broader attention platform.

  1. 01

    Launch the landing page, waitlist, and public identity.

  2. 02

    Publish initial attention heuristics, datasets, and short research notes.

  3. 03

    Release the first scanner for images and text-based stimuli.

  4. 04

    Expand into API access, browser extensions, and focus experiments.

Early access

Join the first CorteyMatter experiments.

Browse research notes