Notice naturally
Words become part of the environment you already return to, without another tab, streak, or session.
Ambient, adaptive vocabulary learning for Windows
Learn a word
without opening an app.
A private Windows application that uses desktop wallpapers and lightweight recall prompts to help vocabulary become part of everyday life.
Designed for
retentionlow interruptionprivacy
DESKTOP EXPOSURE · 08:42
resilient
/rɪˈzɪl.i.ənt/
able to recover quickly after difficulty or change
IN CONTEXT
“A resilient memory grows stronger each time it is recalled.”
NEXT: ACTIVE RECALL
LEARNING PACE
recoveradaptendureLexicon · verified
attentionquiet
reviewadaptive
datastays local
01 · The learning loop
Your desktop becomes a place to remember.
Vocab works around your day instead of demanding a study session. A word first appears on your wallpaper for calm, repeated exposure. Later, a small recall prompt asks your memory to do the work.
The experience is powered locally, paced by your responses, and backed by Lexicon—a structured language foundation that makes each word richer than a definition card.
Recall actively
After exposure, a lightweight prompt asks you to retrieve the meaning instead of simply seeing it again.
Adapt quietly
Vocab adjusts timing and daily volume from your responses while your learning history stays on your device.
02 · The workflow
Step 1
Word appears
A word surfaces naturally on your desktop wallpaper—no tap, no open, no session required.
Step 2
Encounter naturally
You encounter the word as part of your regular environment, not as a study interruption.
Step 3
Recall prompt
A lightweight recall check asks your memory to retrieve the meaning—active retrieval that strengthens long-term memory.
Step 4
You respond
Your answer—remembered, forgotten, or uncertain—feeds into the scheduling model entirely on your device.
Step 5
Future adapts
Timing, volume, and review format adjust automatically to your performance over time.
03 · Who it’s for
For learners who
- want to improve vocabulary without another study routine
- are professionals and students working at a desktop
- dislike gamification and notification-heavy applications
- want language knowledge beyond basic flashcards
- value privacy and local-first operation
Not designed to
- replace reading, conversation, writing, or deliberate language study
- serve as a one-size-fits-all solution
- provide a gamified or competitive experience
- be a complete language-learning course
Vocab strengthens one part of the learning system: repeated exposure and retrieval.
04 · How adaptation works
Adapt quietly
Vocab records whether a word was remembered, forgotten, or uncertain. It uses that history to adjust when the word returns, how frequently new words appear, and which review format is most appropriate.
The scheduling model operates entirely on-device. It does not upload your learning history or require cloud inference to personalize intervals.
Over time, the system learns your personal rhythm—not through surveillance, but through the natural pattern of your recall outcomes.
05 · Privacy model
Learning that stays yours
The core learning loop avoids telemetry, cloud inference, and live dictionary calls. Your data remains on your device.
Stored locally
- — Word history
- — Review outcomes
- — Scheduling state
- — Preferences
Not required
- — User account
- — Cloud sync
- — Behavioral telemetry
- — Permanent internet connection
06 · System requirements
Running Vocab
Windows
Windows 10 and later
Installer
Standard Windows installer
Storage
Lightweight local SQLite database
Startup
Runs quietly in the background; optional launch on login
Wallpaper
Wallpaper modification can be disabled at any time
Offline
Fully functional without internet connection
Notifications
Recall prompts via native Windows notifications
Updates
Manual or automatic; no forced upgrades
07 · Product principles
Useful learning,
less noise.
Vocab is designed to respect attention, preserve privacy, and grow from individual words into connected language knowledge.
Attention is finite
Learning should fit the day without maximizing screen time, notifications, or engagement for its own sake.
Recall over recognition
Seeing creates familiarity; well-timed retrieval helps turn familiarity into durable memory.
Language is connected
Meanings, senses, pronunciation, examples, and word families matter more than isolated cards.
Local by default
The core learning loop remains fast and private without telemetry, cloud inference, or live dictionary calls.
AI stays in its place
Generated material may assist learning, but sourced language knowledge remains traceable and in control.
08 · Roadmap
From quiet vocabulary
to language knowledge.
The learning environment evolves alongside the knowledge system beneath it.
NOW · AMBIENT LEARNING
Words in your world
Strengthen the wallpaper-to-recall loop and make everyday exposure quiet, consistent, and effortless.
NEXT · ADAPTATION
The right review rhythm
Personalize intervals, pacing, and review modes using interaction signals that stay on the device.
LATER · PERSONAL DEPTH
Learning that understands
Use richer language relationships to reduce confusion and create relevant paths through vocabulary.
Ready to try Vocab?
Vocab is currently a working Windows prototype. Public testing is not yet available, but development is open and transparent on GitHub.