Blog
Longer research summaries, applied essays, AI-era cognition and practical training notes.
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Understand the science behind adaptive cognitive performance.
Explore evidence-aware guides to cognitive control, working memory, reasoning, transfer and human-led AI workflows.
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Wiki
Definitions, protocol concepts, IQ interpretation and evidence guides in a searchable index.
Open the wiki →H-AGI
Human-owned, AI-supported reasoning, cognitive-drift safeguards and workflow protocols.
Explore H-AGI →Pillar guides
Start with the question you have.
Brain training
Evidence, limitations, near transfer, far transfer and better experimental standards.
Read the guide →Far transfer
What it means, why it is difficult to establish and how changed conditions should be used.
Read the guide →Working-memory training
N-back, relational memory, binding and cautious interpretation of training gains.
Read the guide →Cognitive control
Attention under load, readiness, state context and recovery routines.
Read the guide →Decision timing
How evidence thresholds shape rushing, overchecking and when enough information is enough.
Read the evidence guide →Relational reasoning
Matrices, rule discovery, constraints and relation tracking.
Read the guide →IQ tests
Matrix reasoning, score interpretation, measurement uncertainty and claims boundaries.
Read the guide →Exam resilience
Attention, working memory, preparation and pressure without promising exam outcomes.
Read the guide →AI workflow cognition
Judgement, source checking, stopping rules and human review in AI-assisted work.
Read the guide →Bayes’ theorem
Compare hypotheses using priors, likelihoods and posterior updating.
Read the guide →Looking for the current products?
Move from insight to a focused support route.
G Track and Cognitive Control Coach are available now. Pattern & Prediction Coach and Applied Reasoning Coach remain in development. Older articles may use earlier product names.
Find my routeKeep evidence in context
Educational content does not guarantee an app benefit, cognitive gain or real-world outcome. Article dates, historical product descriptions and evidence maturity should be read in context.
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