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
Overview example shown.
What Shaded remembersConcepts, due work, and visible progress stay in one learner model.Japanese attempt → concept feedbackThe prompt and the exact learning signal stay side by side.Spanish attempt → concept feedbackThe answer becomes feedback on the word that was just used.
Why it feels different
Not flashcards. Not a fixed course. Not just a chatbot.
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.
No deck maintenance
Review comes from your live mistakes and due skills, not from cards you had to build, tag, and prune yourself.
No one-size-fits-all path
Two learners can practice the same language and see different prompts because their weak spots are different.
No ungrounded chat drift
Flexible AI practice is paired with anchors, reviewed material, and source-backed examples wherever Shaded can use them.
What Shaded actually learns
It breaks every sentence into the pieces you actually learn.
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.
私はパンを食べます“I eat bread”
broken into its real units
私I
はtopic
パンbread
をobject
食べますeat
In Japanese, grammar rides on particles — は and を become pieces of their own.
wordparticleパン is katakana, too
One unit, three ways Shaded knows it —食べる· to eat
Grounded, not guessed
Checked against a real dictionary or source — not an AI's hunch.
anchors · provenance
One meaning, many forms
食べる, 食べます, 食べた are one unit to learn — not three cards.
the lexeme
Known by skill
Reading a word isn't saying it. Tracked across reading, writing, listening, speaking.
per-skill depth
I eat bread「私はパンを食べる」
本当の構成要素に分解
I私
eat食べる
breadパン
英語では、文法は語順と語形に表れます。
語eat は形が変わる：eats, ate, eaten
一つの語を、3つの側面で —eat · 食べる
推測ではなく、裏づけを
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
一つの意味、多くの形
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）
技能ごとに記録
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
I eat bread“Yo como pan”
dividido en sus unidades reales
Iyo
eatcomer
breadpan
En inglés, la gramática vive en el orden de las palabras y en sus terminaciones.
palabraeat cambia de forma: eats, ate, eaten
Una unidad, tres formas de conocerla —eat · comer
Con base, no a ojo
Se contrasta con un diccionario o una fuente real, no con la corazonada de una IA.
anclas · procedencia
Un significado, muchas formas
eat, eats, ate, eaten son una sola unidad, no cuatro tarjetas.
el lexema
Conocida por destreza
Leer una palabra no es decirla. Se sigue en lectura, escritura, escucha y habla.
profundidad por destreza
The linguistics underneath — constituents · the lexeme · provenance · per-skill depth
How it works
It understands the shape of your mistakes.
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.
01
It gets where you are stuck.
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.
Attempt on the left. Learning signal on the right.This real Passage result records the character that was just practiced.
02
Your next lesson comes from real practice.
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.
The route is visible before you start.Pace and due review shape the session without asking you to maintain a deck.
03
It follows you across modes.
Flow, Passage, goals, concepts, and Voyage all draw from the same learner model. Switching modes should feel like changing the exercise, not starting over.
Same learner, different mode.Home leads into Voyage without turning progress into a separate system.
InkField in motion
The interface changes when your learning does.
InkField reserves motion for a learner action or an earned change, then settles back into the field.
01
Correct, drawn in ink.
When a resolved grade is correct, an accent splash and a drawn check mark the result once.
A real grading ceremony.Captured from the shipped feedback widget, with a brief hold on the final state.
02
A new shade crosses the field.
When a new theme tier is earned, pigment travels cell by cell before the stable accent changes.
A real earned-theme bleed.The shipped Voronoi backdrop moving from its previous tier to the newly unlocked shade.
Grounded AI practice
AI can make practice flexible. Anchors keep it honest.
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.
The Tatoeba attribution stays attached to the exact sentence and translation it supports.
Voyage · earned play
Daily practice can put a fishing cast in your hands.
Complete today’s adaptive goal and Voyage can surface a fishing reward. Time the cast, set the hook, and manage the line to land your catch. The learning engine still comes from your answers; Voyage makes that momentum tangible.
A real fishing run.Cast, hook, and work the line—the loop is captured from the production widget.The reward returns to the route. Voyage is the visible momentum layer; the learning signal still comes from practice.
Complete today’s goal
The adaptive daily target is what can earn a fishing reward.
Play the catch
Timing the cast, hook, and line determines whether the fish gets away.
Keep learning in charge
The minigame rewards the routine; it does not replace the practice that shapes your route.
Across language pairs
It understands direction, not just language names.
Japanese speakers learning English
Shaded can guide a Japanese-speaking learner through English workplace, commute, and daily-life practice with Japanese explanations where they help.
English speakers learning Japanese
Kana, particles, readings, and sentence patterns can be introduced with the scaffolding a beginner needs, then eased back as they stick.
English speakers learning Spanish
Practice can focus on verbs, agreement, listening, and real sentence use instead of isolated vocabulary lists.
Different modes, same learner
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
Start on your phone. Keep the same learner model in the browser.
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.
