to teach

1. AI exercise generation: Creates multiple-choice, fill-in-the-blank, true-or-false, matching, and other question types from a topic or uploaded material.
2. AI worksheets: Organizes generated questions into worksheets suitable for printing or digital classrooms, with support for formats such as PDF and H5P.
3. AI lesson plans: Generates lesson plans containing learning objectives, lesson steps, and required materials, which teachers can continue editing.
4. Difficulty adaptation: Adjusts question difficulty for different classes or student ability levels, quickly producing multiple versions from the same source material.
5. Multiple content sources: Accepts directly entered text as well as documents, images, and YouTube videos as source material.
6. Interactive and gamified exercises: Presents selected content as simulated chats, emails, and other formats to add variety to practice activities.

I first asked it to create a medium-difficulty exercise on the present continuous tense.

It did not take long to go from entering the topic to seeing the questions.

The first version included common formats such as fill-in-the-blank and error-correction questions. For homework, it required almost no rewriting from scratch.

This is exactly where the tool feels most comfortable.

The teacher already knows what needs to be taught—they simply do not want to spend another 30 minutes writing ten basic questions.

I then tested it with a character analysis of Macbeth.

The generated questions were structured reasonably well, and some could be used directly for a reading discussion.

The difference became clearer when I switched to translations of quadratic-function graphs.

The questions were not completely unusable, but they were generally too basic, and some of the wording felt awkward.

When the material involves formulas, rigorous derivations, or a specific textbook framework, the teacher still needs to review it personally.

For this reason, I would not assume that it works equally well across every subject.

At present, it is generally easier to obtain a usable first draft quickly for language and humanities materials.

For mathematics and physics, where wording and answer accuracy are more demanding, the review burden increases.

Lesson-plan generation follows a similar pattern.

When asked to write a complete lesson, it provides learning objectives, a sequence of activities, and suggested materials.

The basic framework is there.

However, teaching directly from the generated version will usually feel standardized.

Teachers who understand their own class will often remove some activities and add their usual examples, questioning style, and pacing.

Its biggest contribution is that you do not have to stare at a blank document and begin writing from the first line.

Difficulty adaptation is genuinely practical.

I can generate a standard version of a reading activity, then adjust the requirements to make it easier or more advanced.

Previously, this often meant:

Copying the file, changing the questions, revising the answers, and formatting everything again.

Now, at least the first version can be delegated to AI.

However, every piece of material still needs to be checked.

You cannot assume that the answers are correct, the questions remain within the syllabus, or the wording suits the students’ age simply because the tool is marketed as “educational AI.”

Pros

• Quickly creates basic exercises: Particularly suitable for grammar, reading, vocabulary, and routine revision questions.
• Worksheets are ready for further use: There is no need to create the questions and then format everything separately.
• Saves time on differentiated materials: Multiple difficulty levels can be generated quickly from the same topic.
• Lesson plans solve the blank-page problem: You can begin with a framework and adapt it to your class.
• Relatively affordable: Starter’s long-term cost is reasonably accessible for ordinary teachers.
• The free allowance is enough for a real test: You can use an actual lesson planned for next week instead of only experimenting with a demo.

Cons

• Average reliability for STEM subjects: Formulas, reasoning, and rigorous wording require more human review.
• Answers cannot be trusted automatically: Generative AI can still produce factual or logical errors.
• Lesson plans can feel formulaic: Teachers usually need to add their own instructional design before teaching.
• Limited support for complex classroom activities: It is stronger at material preparation than complete lesson orchestration.
• Monthly allowances do not accumulate indefinitely: Users with fluctuating workloads may waste part of their allowance.

Best for / Not ideal for

Best for

• Language teachers: Useful for frequent grammar, vocabulary, reading, and writing exercises.
• Primary and secondary school teachers: Suitable for classes requiring many worksheets, review questions, and differentiated versions.
• New and substitute teachers: Helpful for educators who have not yet built up a mature library of questions and lesson plans.
• Teachers providing differentiated instruction: Useful when students in the same class have significantly different skill levels.
• Teachers who dislike repeated formatting work: Helps preserve more time for classroom teaching and student feedback.

Not ideal for

• Highly specialized courses: Advanced university subjects and narrowly focused disciplines still require teacher-led content creation.
• People who require perfectly accurate answers: AI-generated materials must be reviewed by a human.
• Courses heavily dependent on complex formulas: Mathematics and physics content is more likely to require revision.
• Teachers seeking highly original lesson design: It can create a framework, but will not automatically design a deeply personalized class.
• People who want fully automated lesson preparation: The generated material is a first draft, not a final version that can be taught word for word.

to-teach.ai is best suited to handling the tasks teachers must complete but should not have to create from scratch every time.

Ten grammar questions.

A reading worksheet.

A simplified and an advanced version of the same text.

Or the basic structure of a lesson.

Giving these tasks to AI can eliminate a considerable amount of repetitive preparation time.

However, it saves the time spent producing materials—not the need for professional teacher judgment.

Are the answers to the quadratic-function problems correct? Is the activity appropriate for this class? Is a particular reading question too difficult? The teacher still needs to make the final decisions.

For your first test, do not choose an arbitrary topic.

Select a lesson you genuinely plan to teach next week.

Use the free plan to generate an exercise, a worksheet, and a lesson plan. Record the total time from generation to completing your revisions.

If materials that previously required two hours of preparation can now be made usable in 20–30 minutes, Starter can be relatively easy to justify.

If every AI-generated result still requires substantial rewriting, even an inexpensive subscription may not save time.

For this kind of teacher tool, the most important metric is not “how many questions it can generate in 30 seconds.”

It is this: How many of those questions would a teacher genuinely feel comfortable giving to students?