An AI lesson-planning workspace for private language tutors. It turns each student’s profile — goals, weaknesses, interests, level — into complete interactive lessons, discussion topics and flashcards in about 2 minutes.

How does it personalize lessons?

Every lesson is generated from 15+ student profile factors: goals, strengths, weaknesses, learning style, interests and cultural background. No two students get the same lesson.

Which languages and levels are supported?

You can generate full lesson materials in English, French and Spanish, across every CEFR level from A1 to C2. The in-lesson instant translation covers 31 of your students’ native languages, including German, Mandarin, Japanese and Arabic, so you can teach learners from almost any country.

How much does it cost?

Free: 1 student, 5 lessons/month. Starter: $19/month for 12 students. Professional: $39/month for 40 students. Studio: $99/month, unlimited, for schools. Annual billing gives 2 months free, with a 14-day money-back guarantee on paid plans.

Do I need a credit card to start?

No. The Free plan needs no card — sign up, add a student and generate your first lesson in minutes.

Does it work with Google Calendar?

Yes. Paid plans sync your tutoring schedule and can generate lessons ahead of upcoming sessions automatically.

Is my students’ data safe?

Yes. LinguaFlow is GDPR-compliant, encrypts data in transit and at rest, and lets you export or permanently delete your data anytime.

Can I use it for group classes?

It’s built for one-on-one tutoring but works for small groups — create a profile per learner and generate level-appropriate content for each.

The One-on-One Language Tutoring Workflow with AI Assist

Name: LinguaFlow
Author: LinguaFlow

One-on-one tutoring has a rhythm: learn about the student, plan, teach, reflect, repeat. Most tutors run this cycle in their head, which works until the roster grows or a busy week breaks it. Writing the cycle down, and deciding where AI assist fits, makes it repeatable.

This article follows one student through the full cycle. If you are thinking about the roster as a whole, our guide on scaling a tutoring practice with automated lesson content covers that side.

Before the First Lesson: Build the Profile

Everything later in the cycle depends on how well you know the student. Capture it in a profile during the trial or first conversation:

Goal: specific and concrete, such as "present quarterly results in English without notes."
Level: their current CEFR level, based on how they speak and write, not how they describe themselves.
Weak points: the grammar, vocabulary or pronunciation areas they struggle with.
Learning style and interests: what keeps them engaged and what bores them.
Native language: it predicts many of the mistakes they will make.

In LinguaFlow, this is the Add Student form. It is detailed on purpose, because it is meant to be filled in live while you talk to the student.

Before Each Lesson: Plan From the Profile

With a profile in place, planning becomes a short, repeatable routine.

Open the student and go to the AI Lesson Architect tab.
Generate lesson ideas. You get five personalized lesson plans with focused sub-topics, built from the profile and learning history.
Choose the sub-topic that fits this week, and adjust its title, category or level if needed.
Create the interactive material and read it through before the lesson.

The AI assist handles the construction: vocabulary with examples, a dialogue, comprehension questions, role-plays, discussion questions and practice activities. You handle the decisions: which sub-topic, whether the difficulty is right, and what to adjust.

During the Lesson: Teach, Don't Manage Materials

With material prepared, the lesson itself can focus on the student. A few things help:

Move the lesson to Teaching on the lesson board so you know where you are.
Let the student double-click unfamiliar words for an instant translation into their native language, so a single word doesn't stall the session.
Keep a discussion topic ready for when the student is energetic and a conversation is worth following.
Jot down errors to review at the end rather than correcting every one on the spot.

After the Lesson: Record What Happened

The cycle only improves if you close it.

Move the lesson to Taught. This separates what was delivered from what was only planned, which keeps the roadmap honest.

Do the mastery check. A quick rating (Struggled, Got it, or Nailed it) plus an optional note such as "mixed up past simple and present perfect" tells the next round of planning where to focus.

Update the profile when something changes. A new goal, a resolved weak point, or a new interest all change what the next lesson should be.

Every Few Weeks: Step Back

Once a month or so, look at the student's progress as a whole. Which parts of the roadmap are done? Are the mastery ratings improving? Is the student still working toward the same goal? Share the progress view with the student, too. Seeing their own progress is one of the strongest reasons a student keeps booking.

Where AI Assist Fits, and Where It Doesn't

AI assist is strongest in the planning step, where it turns a profile into complete lesson material in minutes. It supports the lesson through translation and discussion topics. It has no place in the parts that make one-on-one tutoring valuable: reading the student's mood, deciding when to push and when to encourage, and building the relationship. Those stay with you.

Frequently Asked Questions

How long does planning take with this workflow? Generation typically takes about two minutes per lesson. Add a few minutes to review the material, and most lessons are ready in under ten minutes.

Do I need to do the mastery check every time? No, it is optional. It pays off over time, though, because it makes each new lesson build on real results.

Can I use this workflow for students I already have? Yes. Build a profile from what you already know about them, and start the cycle from their next lesson.