Research
We design from established behavioral and productivity research—not from made-up awards or unpublished whitepapers.
FocusAI is an execution system: turn a goal into tasks, put them on your calendar, and work through them with focus tools. This page explains the ideas behind those choices in plain language—not a claim that we ran independent clinical trials.
Four well-studied principles map directly to how FocusAI plans, schedules, and surfaces your work.
Peer-reviewed starting points with links. We connect ideas to product behavior; we do not imply endorsement by these authors.
If-then plans (“When situation X, I will do Y”) delegate control to cues so goal intentions actually turn into action—especially for difficult goals.
Why it maps to FocusAI: Calendar scheduling and timed tasks are implementation intentions in practice: you decide when and where work happens before the moment arrives.
Working memory is limited; oversized, underspecified problems consume capacity and block learning—breaking work into smaller chunks reduces that load.
Why it maps to FocusAI: AI goal breakdown turns vague outcomes (“learn React”) into phased milestones and small tasks so you execute one step instead of holding the whole project in your head.
Switching tasks while the prior one is unfinished leaves part of your attention behind; performance on the new task suffers until you fully disengage.
Why it maps to FocusAI: A single primary focus for today and focus sessions reduce open loops—fewer half-finished tasks competing for attention while you work.
From the blog
Long-form posts on goal decomposition, to-do list failure modes, and how to use AI without adding more planning work.
Studying HCI, psychology, or learning science? We welcome partnerships and honest feedback on how the product maps to evidence.
[email protected]