TutorAI: AI-Generated Courses and Guided Study

TutorAI did not disappear. We had the wrong door.

The live product is at tutorai.me, where it presents a working course creator, public sample courses, a free plan, two paid self-serve plans, homework tools, legal pages, contact information, and business offerings. Lumination AI LTD, a registered UK company, identifies itself as the owner. The earlier conclusion that TutorAI was unavailable came from a similarly named parked domain and does not describe this service.

That correction matters because the real TutorAI is more interesting than the generic label suggests. It is not simply a chatbot wearing an education badge. Its central idea is to turn a learning goal into a path: choose a topic, let the system propose a course, work through lessons and quizzes, return to a library, and use chat or flashcards when the material needs another pass.

The distinction is small on a landing page and substantial in use. A blank chatbot asks the learner to design both the curriculum and the conversation. TutorAI tries to provide the missing middle: sequence.

A course shape can be genuinely helpful

Open-ended AI tools are excellent when the user already knows what to ask. That condition excludes many beginners. Someone starting machine learning may know the phrase but not the order in which data preparation, supervised methods, evaluation, neural networks, and practical projects should appear. Someone returning to French may not know whether the real gap is verb tense, pronouns, sentence structure, or vocabulary.

TutorAI's public sample courses show the intended answer. A topic becomes a description and a list of modules. Each module has a learning objective and can be opened for further study. The current creation screen also offers two valuable controls for signed-in users: building from uploaded or selected documents, and defining the course structure before generation.

Those controls are more important than the promise to learn anything. Topic generation is useful for exploration. Source-based generation is useful when the course must stay close to a particular body of material. Structure editing is useful because the first outline is rarely the right one. Together, they make TutorAI feel less like a single clever response and more like a lightweight learning workspace.

The best first move is therefore not to generate everything. It is to inspect the outline. Does it begin at the learner's actual level? Are prerequisites present? Is the topic narrow enough for the available time? Does the final module lead toward the outcome the learner cares about? A ten-module tour can look comprehensive while avoiding the one skill that matters.

A generated syllabus is a proposal, not a curriculum

TutorAI's strength also creates its main intellectual risk. The product can make a course appear finished before anyone has established that the sequence is sound, the material is accurate, or the practice will lead to durable learning.

Public sample courses are clear and readable, but they are broad. The machine-learning example moves from introductory concepts through preprocessing, supervised and unsupervised methods, evaluation, deep learning, and applications. That is a plausible beginner map. It is not the same thing as a tested course with calibrated workload, reviewed exercises, maintained references, and evidence that learners can transfer the ideas into real work.

This is not a special failure of TutorAI. It is the basic tradeoff of generative courseware. Traditional courses are slow and expensive to design because subject experts, instructional designers, editors, assessors, and learners expose problems over time. AI can produce the visible structure in seconds. It cannot make that review history appear by typing faster.

For casual exploration, the difference may be acceptable. For exam preparation, workplace compliance, clinical education, financial decisions, or any topic where a wrong detail carries consequences, it is not. The generated course should be compared with a trusted syllabus, official document, textbook, or qualified teacher before it becomes the learner's map.

The paid plans sell scale, not a different philosophy

TutorAI's pricing is refreshingly visible, although the units deserve a careful read. The public page shows a free plan with no card required, Mentor at $13.33 per month when billed yearly, and Genius at $17.50 per month when billed yearly.

Mentor lists more than 100 personalized on-demand courses, unlimited chat interactions, priority support, and cancellation at any time. Genius lists more than 1000 courses, flashcards, a spaced repetition dashboard, priority support, and the same cancellation language. The site also markets custom educator, corporate, and white-label arrangements through contact-led sales.

The free tier is good for answering the first buying question: does the course shape help you learn? The public pricing page does not specify the exact free allowance, so it is less useful for forecasting how long the free experience will last. The meanings of more than 100 and more than 1000 courses also need interpretation. They may describe generation allowances, available capacity, or plan positioning, but the page does not explain the accounting in detail.

One small inconsistency is worth checking before payment. Unlimited chat appears on Mentor but is not repeated on Genius. The higher tier may include it in practice, yet buyers should confirm rather than infer. A pricing ladder should not require the customer to guess whether moving up removes a feature from the tier below.

Genius earns its higher price through memory tools. Flashcards and spaced repetition can be valuable when the course contains vocabulary, definitions, formulas, procedures, or compact factual relationships. They are less useful when the outcome depends on writing an argument, diagnosing an unfamiliar situation, building a project, or making a judgment. Memory practice should support the learning goal, not become the goal because the dashboard is satisfying.

Homework help changes the personality of the product

The main TutorAI experience is organized around courses. Its separate Homeworkify and AI Math Solver pages move closer to the crowded homework-assistant market. Both accept a problem and promise guided, step-by-step help. The math tool supports photos, screenshots, and typed questions. Homeworkify describes help across subjects and says basic use does not require an account.

These tools make TutorAI more immediately useful. A learner does not always need a new course. Sometimes the need is one difficult equation, a confusing paragraph, or a question that arrived after class. The danger is that immediacy can move the product from learning support to answer delivery.

TutorAI's own copy contains both impulses. Some passages emphasize explanations and understanding. Others talk about completing homework quickly and confidently submitting the result. The interface cannot decide the learner's intention. A student who uploads a problem, reads the final line, and copies it has used a tutoring tool as an answer machine.

A better workflow introduces friction on purpose. The learner should attempt the problem first, ask for a hint rather than a full solution, explain the next step, and then solve a parallel problem without assistance. If the AI gives a complete answer immediately, the learner can still hide it and reconstruct the reasoning. Productive struggle is not a defect to be optimized away. It is often the part that produces learning.

The boldest claims need the lightest touch

TutorAI's current site is full of large numbers. It says more than 800,000 learners are happy, more than 10 million courses have been generated, and more than 23 universities use the platform. The math-solver page claims a 99 percent accuracy rate, typical answers in three seconds, and more than 10 million problems solved.

These figures may reflect internal product data. The pages we reviewed do not provide a public methodology, named institutional list, audit, sample definition, or test set that would let an outsider reproduce them. They should be treated as vendor claims, not converted into independent evidence in a directory record.

The same care applies to phrases such as personalized, comprehensive, and any topic. Personalization can mean several different things: asking about a goal, adjusting an outline, changing language level, adapting after quiz results, or maintaining a learner model over time. The public pages describe the ambition but do not document each mechanism in enough detail to support a scientific conclusion about adaptivity.

This does not make the product empty. The course creator, source option, structure control, sample course pages, plan descriptions, library navigation, flashcard area, homework tools, and business pages are all concrete. The editorial job is to separate those visible capabilities from performance claims that need stronger evidence.

Privacy deserves a course of its own

TutorAI publishes a privacy policy and identifies Lumination AI LTD as the data controller. The policy says the service may collect names, email addresses, country, usage data, trackers, content communicated while using the service, product interactions, payment information, billing address, and purchase history.

It also names several external services. The OpenAI API may process data communicated while using TutorAI. Firebase supports storage and authentication. Google and Apple can provide sign-in. Stripe handles payments, Mailgun supports email, and Google services appear in analytics and interface delivery.

That is materially better than an anonymous AI tool with no operator or privacy page. It does not remove the need to think before uploading. Personal notes, schoolwork, internal company policies, unpublished research, assessment materials, and records about a child can reveal far more than the course title suggests. Organizations need to understand retention, access, international transfers, deletion, authentication, and whether their own rules permit the content to leave approved systems.

There is also tension between the broad reassurance on the Homeworkify page and the detail in the platform-wide privacy policy. Homeworkify says user data is not stored or shared and later makes expansive claims about encryption and third-party sharing. The privacy policy describes data collection and processing by named providers across tutorai.me. Those statements may refer to different layers or data types, but the distinction is not made clear enough on the public pages. Users should rely on the formal policy and obtain clarification for the exact workflow rather than treating a short marketing assurance as the complete data map.

Families and schools have additional questions. Age eligibility, parental consent, student monitoring, inappropriate output, safeguarding, account deletion, teacher visibility, and the treatment of uploaded work are not solved by calling a system educational. A small personal experiment and a school deployment are different risk decisions.

TutorAI versus a guided chatbot

TutorAI sits between three familiar product shapes. It borrows the breadth of a general chatbot, the sequence of an online course, and the retrieval tools of a study app. That combination makes the comparison with Khanmigo, ChatGPT Study Mode, and Gemini Guided Learning useful, but not simple.

Khanmigo has the advantage of living inside an established learning ecosystem with known curriculum content. It is a stronger starting point when the learner's need maps cleanly to Khan Academy and guided questioning matters more than generating an entirely new course.

ChatGPT Study Mode is more flexible as a conversational environment. It can work across subjects, respond to uploaded context, ask questions, and adjust the explanation as the conversation develops. Its weakness is also flexibility: unless the learner or teacher supplies a plan, the session can wander.

Gemini Guided Learning similarly emphasizes stepwise explanation, questions, and varied learning material. It can be attractive for learners already inside Google's ecosystem or for topics that benefit from multimodal exploration. As with ChatGPT, the course sequence may depend more heavily on the user's prompting and chosen sources.

TutorAI's case is strongest when the learner says, I know the destination but not the route. Its value is less obvious when the learner already has a high-quality course and only needs occasional explanations. In that situation, a guided assistant attached to the existing curriculum may create less duplication and fewer opportunities for the AI to invent a second, conflicting syllabus.

The product can also serve professionals and teams, but the bar rises. TutorAI markets editable modules, uploaded materials, departmental paths, educator tools, and a fully branded white-label platform. Those are credible reasons to request a demonstration. They are not enough to approve a deployment. A real evaluation should cover access control, content review, exports, analytics, accessibility, support, incident handling, data location, deletion, integration behavior, and evidence that the training changes performance rather than merely producing completions.

How to get the best from TutorAI

Begin with one outcome narrow enough to observe. Learn machine learning is too large. Build and evaluate a simple classification model on a clean dataset is better. Improve French is vague. Write a short account of a past event using the correct contrast between two past tenses is testable.

Tell TutorAI the current level, available time, target task, and important boundaries. If the learning must follow specific material, upload that material only after reviewing the privacy implications. Then edit the proposed structure before generating the full course.

For each module, study in short loops. Read, retrieve from memory, attempt a problem, ask for one hint, explain the idea back, and finish with an unfamiliar example. Save flashcards for knowledge that benefits from recall. Use a separate practical task for knowledge that must be applied.

Most importantly, maintain an external standard of truth. A trusted reference checks facts. A teacher or expert checks judgment. An unaided task checks learning. TutorAI can organize and accelerate the work between those points, but it should not be asked to certify itself.

The WhatAI view

TutorAI is a live and useful AI learning product, and the correct home is tutorai.me. The previous parked-domain assessment was an identity error. The current service has a real operator, product flow, pricing page, legal documentation, public course examples, source-based generation, tutoring tools, and business offerings.

Its best idea is not that AI can answer any question. Many products can do that. Its best idea is that beginners often need a route more than another blank chat box. Turning a topic into a course, exposing the structure, and keeping lessons, quizzes, chat, progress, and memory practice in one place can reduce the effort required to start and continue learning.

The reservation is that generated structure can look more authoritative than it is. TutorAI's biggest usage and accuracy numbers remain marketing claims on the evidence available, plan limits could be clearer, and the privacy story requires users to read beyond the reassuring product copy. Generated courses need review, homework answers need verification, and completion needs an independent test.

For self-directed learners who enjoy a course-shaped path, TutorAI deserves a place on the shortlist. Try the free tier with a subject you understand well enough to judge. Inspect the syllabus, challenge one explanation, test the quiz, and see whether the workflow helps you return the next day. If it does, the paid plans are reasonably legible and the Genius memory tools may be worth the step up.

TutorAI should be used as a thoughtful course draft and study companion, not as an invisible institution. The product is real. The learning still has to be made real by the learner.

WhatAI Decision Box

TutorAI is a live AI learning platform at tutorai.me that creates personalized courses from a topic or your own sources. It combines structured modules, quizzes, tutoring chat, a course library, progress tools, and paid flashcards with spaced repetition.

TutorAI offers a free plan, Mentor at $13.33 per month billed yearly, and Genius at $17.50 per month billed yearly. Its clearest advantage is turning an open-ended learning goal into a course-shaped path. Learners should still verify generated material, understand plan limits, and review privacy terms before uploading sensitive educational content.

TutorAI works best as a structure generator and study companion, not as an unquestionable source of truth or a replacement for an accredited course, teacher, or subject expert. Compare it with Khanmigo, ChatGPT Study Mode, and Gemini Guided Learning according to the learner, curriculum, source material, and need for guided practice.

Use Cases

Pricing varies by plan and region — see current pricing.

Plan features change — last updated: 2026-08-17.

TutorAI Community Discussions

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TutorAI Pros & Cons

How to Get Results with TutorAI: Step-by-Step Workflow

1. Define the learning outcome

   Write one concrete outcome, the learner's current level, a realistic time window, and the kind of task they should be able to complete without help at the end.

2. Choose the course source

   Generate from a topic for broad exploration, or sign in and use your own documents when the course must follow a particular text, policy, syllabus, or body of notes.

3. Review the structure first

   Inspect the proposed modules before generating the full course. Remove irrelevant sections, add missing prerequisites, reorder the sequence, and narrow any topic that is too broad.

4. Verify the first module

   Compare definitions, examples, dates, formulas, and source interpretations with a textbook, official document, teacher, or trusted reference before adopting the course as a study plan.

5. Learn through retrieval

   Read a short section, close it, explain the idea from memory, answer a quiz, and ask the tutor for a hint only after making a genuine attempt.

6. Turn errors into practice

   Save missed concepts as flashcards or new questions, ask for a contrasting example, and generate a transfer problem that uses the same principle in an unfamiliar setting.

7. Check progress outside TutorAI

   Complete a task without the tutor, notes, or generated answer. Use that independent performance, not module completion alone, to decide whether the learner has mastered the material.

8. Recheck plan and privacy

   Before upgrading or uploading sensitive documents, confirm billing cadence, course and chat limits, cancellation, retention, model-provider processing, age requirements, and organizational safeguards.

TutorAI Gotchas and Limits to Know Before You Start

• The displayed Mentor and Genius prices are monthly equivalents for annual billing, not necessarily month-to-month prices.
• The pricing page does not state the exact free-plan usage allowance.
• The meanings of 100+ and 1000+ personalized courses are not explained in detail on the pricing page.
• Unlimited chat is listed for Mentor but not explicitly repeated for Genius, so confirm the higher plan's chat allowance before purchase.
• Uploading personal sources and customizing course structure require sign-in.
• AI-generated lessons, quizzes, explanations, and flashcards can contain factual or pedagogical errors.
• The platform's 800K learners, 10M courses, and 23+ universities figures are vendor claims without public methodology on the cited page.
• The math solver's 99% accuracy and speed statements are marketing claims and should not be treated as guarantees.
• Homeworkify's page makes broad privacy assurances, while the platform privacy policy describes data collection and third-party processing that users should review in context.
• Generated courses are not accredited and do not automatically align with a particular school, exam board, profession, or jurisdiction.
• A fluent explanation can hide a weak syllabus, missing prerequisite, fabricated source, or incorrect answer.
• Schools and families need separate checks for age eligibility, consent, safeguarding, retention, monitoring, and student-data governance.

Which TutorAI Feature Fits Your Use Case

Starter Prompts for TutorAI

What is TutorAI?

TutorAI is a browser-based learning platform operated by Lumination AI LTD. It creates personalized courses and learning paths from a topic, goal, or user-provided source material, then supports study with lessons, quizzes, tutor chat, a course library, progress tools, and selected flashcard features.

Is TutorAI still available?

Yes. The current product is live at tutorai.me. The earlier parked-domain conclusion came from checking a different, similarly named domain and should not be applied to this product.

Is TutorAI free?

TutorAI has a free plan that requires no card and provides a limited way to try the course experience. The pricing page does not state the exact free usage allowance, so verify current limits inside the account before relying on it for a full course.

How much does TutorAI cost?

The pricing page showed Mentor at $13.33 per month and Genius at $17.50 per month when billed yearly on August 17, 2026. Mentor lists 100+ personalized courses and unlimited chat. Genius lists 1000+ courses plus flashcards and a spaced repetition dashboard.

Can TutorAI build a course from my documents?

Yes. The course creation screen offers an option to upload or select documents and use your own sources. It also offers course-structure customization. TutorAI requires sign-in to use these advanced generation features.

Does TutorAI include quizzes and flashcards?

The product describes generated courses with lessons, quizzes, and study materials. Flashcards and the spaced repetition dashboard are explicitly listed on the Genius plan. Check the generated course before studying because AI-created questions and answers can still contain errors.

Can TutorAI solve homework and math problems?

TutorAI provides Homeworkify for general homework support and an AI Math Solver that accepts photos, screenshots, or typed problems and returns step-by-step explanations. Treat accuracy and speed figures on those pages as vendor claims and verify important answers independently.

Who owns TutorAI?

TutorAI states that it is owned by Lumination AI LTD, a UK company with company number 15291725 and a registered address at 86-90 Paul Street, London, EC2A 4NE.

Does TutorAI use OpenAI?

TutorAI's privacy policy names the OpenAI API as a service used in its hosting and backend infrastructure and says data communicated while using the service may be processed for that purpose. The policy also lists Firebase, Google sign-in, Apple sign-in, analytics, Mailgun, and Stripe.

Is TutorAI a replacement for a teacher or course?

No. TutorAI can create structure, explanations, practice, and study momentum, but it does not turn generated content into an accredited or expert-reviewed course. A teacher, curriculum, textbook, or trusted source remains important when accuracy, assessment alignment, safeguarding, or credentials matter.

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