OLAR AI is a handwriting-first AI tutor for math and high-school physics. Instead of beginning with a completed answer, you bring in a problem, write your own steps on a digital whiteboard, submit them for analysis and use feedback to keep working.

The important distinction is that your attempt is the center of the experience. The aim is to make a mistake visible in the work you actually wrote—not just display a separate worked solution and ask you to compare it yourself.

The OLAR AI solve loop at a glance

Feedback is produced after a submitted step; this is not a promise that OLAR continuously watches each pen stroke while you write.

1. Start with the actual problem

Upload or capture the full question so the problem statement, quantities, constraints and diagrams remain visible. OLAR uses an initial analysis to identify information such as the given values, the quantity being sought and relevant symbols. Always check that the question was interpreted correctly, especially when a photo is cropped, a symbol is faint or the task includes a diagram.

2. Write the next step by hand

The working surface is a stylus-first whiteboard. You can lay out an equation, substitute values and proceed in the order that makes sense to you. Handwriting is not just an illustration added to a chat answer; it is the primary input into OLAR’s step-review workflow.

For instance, imagine the equation 2(x + 4) = 18 and a student who writes 2x + 4 = 18. The student has started a familiar algebra procedure but has failed to distribute the 2 across both terms. The useful feedback is about that operation—not simply “the answer is x = 5.”

This is an illustrative teaching example, not a recorded result from a live OLAR session.

3. Submit a step for feedback on your writing

When you submit a step, OLAR uses handwriting recognition and an AI evaluation pipeline to interpret the written mathematics. The product is designed to give targeted feedback, including colored marks associated with the work on the board. Green is used for supported correct work and red for identified errors.

This is a design focus, not a guarantee of perfect symbol recognition. Handwritten expressions can be segmented at the line level, and locating the precise symbol may require estimation. If a highlight or explanation seems inconsistent with your work, verify what you wrote before acting on it. Mathematically equivalent notation should not be treated as an error just because it looks different.

4. Use Correct My Work when you want help making an edit

Correct My Work is separate from ordinary feedback. For steps classified as incorrect, it is designed to inspect the proposed change and the actual marked handwriting before changing the canvas.

When there is enough evidence, OLAR can remove the relevant incorrect strokes, write the corrected mathematical working at a readable scale within the whiteboard, adjust nearby ink if needed, and make the operation undoable. This is an edit to the actual whiteboard scene, not merely a colored rectangle covering the student’s original strokes.

When the match is uncertain, it should not erase the student’s work. Instead, the suggested correction appears in a card beside the board with an explanation. It will not silently replace unrelated writing or blindly redraw a whole solution from scratch.

Because corrections rely on interpreting handwriting and validating a specific replacement, they are conditional rather than guaranteed. Review the change—or the separate suggestion—before continuing.

5. Ask a question and keep solving

After feedback, you can ask a follow-up about that step and continue working. For example: “Why does the 2 multiply both terms?” or “Can you give me a hint without solving the rest?”

A useful tutor helps you understand the next decision, not just move quickly to the final number.

What about Replay?

OLAR also documents a Generate Replay experience accessible from history, recents and Spaces. The current version replays saved step snapshots with playback controls. It is not a stroke-by-stroke recording of your original pen movements, and the workspace’s correction button is Correct My Work, not Replay generation. Public replay-sharing URLs are not part of the documented current version.

Replay is best understood as a way to revisit saved progress through a problem, not as a recording of every pen movement.

Is OLAR AI free?

OLAR documents a limited-daily-solve Free tier and a Pro subscription with monthly, four-month semester and yearly billing. As described in the October 2026 plan configuration, Pro is $7.99 monthly, $24.99 for a four-month semester, or $59.99 yearly, with a 3-day trial. Plan terms and trial eligibility may change, so check the current checkout for the applicable terms.

The current workflow uses a learner account, and Free solves are limited by day.

What subjects does OLAR AI cover?

The stated product scope is mathematics and high-school physics, particularly problems where a student can show a sequence of equations or calculations. OLAR is focused on written mathematics and physics problem-solving, rather than acting as an all-purpose learning platform for every subject.

How to tell whether AI feedback is useful

A good test is to try a real question with a legitimate intermediate error, then ask:

1. Did the tool interpret the original question correctly?

2. Did it identify the first mathematical mistake rather than a harmless notation difference?

3. Is the red/green markup aligned closely enough to interpret responsibly?

4. If Correct My Work made an edit, did it change only the ink that needed correction, and can it be undone?

5. If confidence was insufficient, did it preserve the existing handwriting and show a separate suggestion?

Avoid relying on any AI tool’s output as proof of correctness without checking the calculation or reasoning.

Frequently asked questions

Does OLAR AI solve the whole problem for me?

Its primary product workflow is intended for you to work through your own solution, submitting handwritten steps for feedback. This is different from framing the experience around a generated finished answer.

Does OLAR AI read my writing as I write every character?

The documented evaluation loop is triggered by submitting a step. Do not confuse targeted feedback on your ink with uninterrupted real-time pen tracking.

Can OLAR erase and redraw the exact part I got wrong?

Sometimes. The feature is designed to edit the actual ink when its checks support the proposed replacement, with an undo option. If the evidence is insufficient, it preserves the writing and shows the recommended working separately.

Is OLAR AI a classroom management platform?

OLAR currently focuses on individual learners using Free or Pro. Teacher dashboards and classroom administration are not part of the offering described here.

Learn from the work you write

A written mistake is not the end of a solution; it is information about what to do next. If you prefer working through mathematics or physics problems on a whiteboard and seeing feedback tied to that attempt, try OLAR AI.

About this guide: Published by the OLAR AI team to explain the product workflow. Features and plan terms may change.