Turn practice into real speaking

Ideology: one screen, one button, speaking only

We deliberately break the classic “rules first, exercises later” scheme. In our world, theory is a by-product of practice. You open the main screen, tap “Start,” and speak: you translate a thought from your native language into English. No mode switching, no cluttered UI, no trips to reference pages. The whole flow lives in one place.

Why this way? To switch on the automatic speech loops from minute one. When you speak, motor control, hearing, memory, rhythm, and breathing work in sync. That’s a different brain mode from silently reading tables. Frequent correct utterances quickly form stable patterns: structures and words start popping out by themselves.

We don’t force you to deal with letters before speech. You’ll learn to write too, but that’s secondary. If you can say it aloud — the door is already ajar. A child doesn’t learn a language from tracing worksheets: he keeps talking, listening, and getting feedback. We bring that biologically natural logic into a digital trainer.

• No theory walls before practice.
• All learning lives inside one continuous scenario.
• Speaking is the basic unit of progress.

From minute one we build “automation”: the brain starts predicting correct phrases before you consciously do. But on the other hand, if you want theory — it’s one tap away.

Speech recognition as a mirror

Automatic speech recognition acts like a surrogate native speaker: if the recognizer consistently understands you, chances are people will too. It’s not a replacement for live conversation — it’s a fast, scalable, and non-judgmental way to measure intelligibility.

Along the way you naturally adjust pronunciation: you start speaking so you’re reliably understood — and you do it faster. If needed, you can listen to a sample, feel the rhythm and intonation, and the loop closes — speed, clarity, and confidence grow.

• Didn’t work? Repeat — no one will judge you.
• Clear to the recognizer ≈ basically clear to people.
• Pace is flexible: speak at a comfortable speed.

Yes, it’s tough at first. But on the other hand, that “rigor” trains articulation and rhythm best. Learning is always hard — and that’s normal.

Books & films with coverage estimates

A living language is broader than any trainer. That’s why the Pro subscription gives books and films with a coverage estimate for your vocabulary: you can choose materials where you understand ~100% of the words and gently raise the difficulty without pain.

Reading and watching add nuance: style, cultural references, the rhythm of real speech. The trainer gives the base (words + grammar in speaking), and content hones your ear and taste for the language.

The bundle “I speak in the app” + “I understand content” quickly turns the skill into real-world use — in trips, meetings, and messaging.

• Selection tailored to your current vocabulary.
• Difficulty grows without sharp jumps.
• A bridge from the trainer to real culture.

Deterministic core. Fair checking. Adaptive growth.

Why we don’t grade by “letter match”

Translation isn’t a letter puzzle, especially above A1. At B1–B2 the same idea can be expressed correctly in dozens of ways. Rigid character-by-character checking kills learning: it punishes legitimate paraphrases and synonyms.

• We use a multi-stage check. We normalize the answer, then allow lexical substitutions and neutral paraphrases; after that, a dedicated grammar validator catches real errors — not stylistic variety.
• Synonyms and paraphrases are allowed.
• Grammar is validated by a separate layer.

The sample in the hint is a guide, not a disciplinarian.

An algorithmic core beats chaotic AI

The heart of the app is deterministic algorithms: sentence selection, vocabulary balance, grammar escalation. They rely on rules, statistics, and curated tables. The key is predictability: under equal conditions, behavior today and tomorrow is the same.

Where justified, we use narrow AI models as assistants: they help with grammar validation and recognizing acceptable paraphrases, reducing false “errors”.

• Algorithmic core, AI as an assistant.
• Transparency and repeatability of results.
• Quality gains without hurting response time.

We use AI where it’s accurate enough — not where it adds unpredictability.

Adaptivity without overload

Tens of thousands of word forms and dozens of grammar topics don’t crash on you at once. Algorithms introduce novelty in portions: until a word or pattern is consolidated, the system won’t raise the bar.

Internal balance keeps you from getting stuck in a narrow corridor; if something is hard, repetition rises locally for that pattern — not for the whole topic.

• Smooth introduction of new words and templates.
• Repetitions are rare — not “the same thing 10 more times”.
• No topics above your current ceiling appear in examples.

Hundreds of thousands of sentences = no “meat grinder” effect.