No deck maintenance
Review comes from your live mistakes and due skills, not from cards you had to build, tag, and prune yourself.
Japanese · Spanish · English
Practice real sentences. Get feedback tied to the words, patterns, and skills you actually missed. Then keep moving through lessons built around what you are ready to use next.
Not a deck · Not a fixed course · Not an open-ended chatbot
Why it feels different
Shaded is a guided learning system that watches how you answer, finds the weak spots underneath, and turns them into the next useful practice step.
Review comes from your live mistakes and due skills, not from cards you had to build, tag, and prune yourself.
Two learners can practice the same language and see different prompts because their weak spots are different.
Flexible AI practice is paired with anchors, reviewed material, and source-backed examples wherever Shaded can use them.
What Shaded actually learns
Each piece is pulled from what you say, anchored to a real source, and tracked on its own — so practice targets the exact thing that tripped you up.
In Japanese, grammar rides on particles — は and を become pieces of their own.
Checked against a real dictionary or source — not an AI's hunch.
anchors · provenance食べる, 食べます, 食べた are one unit to learn — not three cards.
the lexemeReading a word isn't saying it. Tracked across reading, writing, listening, speaking.
per-skill depth英語では、文法は語順と語形に表れます。
実在する辞書や出典と照合します。AIの当て推量ではありません。
アンカー・出典eat, eats, ate, eaten はすべて一つの語。別々のカードではありません。
語彙素(レキシム)読めても話せるとは限りません。読む・書く・聞く・話すを個別に記録します。
技能別の深さEn inglés, la gramática vive en el orden de las palabras y en sus terminaciones.
Se contrasta con un diccionario o una fuente real, no con la corazonada de una IA.
anclas · procedenciaeat, eats, ate, eaten son una sola unidad, no cuatro tarjetas.
el lexemaLeer una palabra no es decirla. Se sigue en lectura, escritura, escucha y habla.
profundidad por destrezaThe linguistics underneath — constituents · the lexeme · provenance · per-skill depth
How it works
A missed answer is not just right or wrong. Shaded looks for the word, pattern, skill, and direction that made it hard, then uses that signal to choose what happens next.
Practice real sentences across reading, listening, writing, and speaking. When something breaks, Shaded keeps track of the part that broke instead of treating the whole exercise as a mystery.
Shaded turns recent misses, due review, ability level, and session goals into focused practice. You do not have to tune a queue to keep seeing the right challenge.
Flow, Passage, goals, concepts, and Voyage all draw from the same learner model. Switching modes should feel like changing the exercise, not starting over.
Grounded AI practice
Shaded grounds explanations in dictionaries, source examples, and reviewed learning material whenever possible, so generated practice does not drift away from the language you are trying to learn.
Momentum you can see
Your home map, goals, concepts, and Voyage all show what changed and what to do next. Daily progress becomes visible without making you manage the machinery underneath.
Reviews return when a word, pattern, or skill needs attention.
Flow and Passage give you focused ways to practice from the same progress model.
Goals and Voyage turn daily study into a route you can watch advance.
Across language pairs
Shaded can guide a Japanese-speaking learner through English workplace, commute, and daily-life practice with Japanese explanations where they help.
Kana, particles, readings, and sentence patterns can be introduced with the scaffolding a beginner needs, then eased back as they stick.
Practice can focus on verbs, agreement, listening, and real sentence use instead of isolated vocabulary lists.
Flow, Passage, goals, and concept review share progress, so the app keeps the same sense of you as you move around.
Now on the web
The web app at shaded.app syncs with iOS and Android, so the weaknesses Shaded found on your commute can become the focused session you continue at your desk.
Open Shaded on web
Built for the messy middle
The value is not that Shaded generates more practice. It is that Shaded keeps learning from what happens when you try to use the language.