B2C NDA
AI tutor for kids
Edtech MVP: an AI agent for kids’ learning - homework, progress control, question bank by subject.
edtech MVP
Format
tutor agent
AI
not developed further
Status
ai-rep.ru
Link
- 01 · Client
AI tutor (ai-rep.ru) is an edtech product: an AI agent for kids’ learning and home-study control.
- 02 · Challenge
An AI agent that helps kids learn, not just a chat.
- 03 · Solution
We built an AI MVP for kids’ learning: assignment control, performance, question bank, and progress scenarios by subject.
- 04 · Result
MVP shipped: assignment control, performance, and a question bank.
AI tutor MVP | JimmyNeuron case
About the client
AI tutor (ai-rep.ru) is an edtech product: an AI agent for kids’ learning and home-study control. Needed a platform MVP: assignments, performance, question bank.
The challenge we started with
- An AI agent that helps kids learn, not just a chat
- Homework and progress control for parents
- A question bank by subject for different age groups
- An MVP that does not balloon into a year-long edtech corporation
AI learning agent
Within the MVP, the agent helps the child study: dialogue, tasks, and process support. Not a bare chat without a teaching framework.
Parent control
A progress and homework layer: the parent sees real progress, not just that the child was typing something to a bot.
Subject question bank
The content foundation of the MVP: questions and tasks by subject, so the product relies on practice rather than a single prompt.
How it works
User scenario
- The child works with the AI agent through assignments
- The system records progress and answers
- The parent sees learning and homework control
Team / admin scenario
- Fills the question bank by subject
- Watches how users go through the MVP
- Decides whether to develop the product or stop
Technology
- Product
- Edtech MVP + AI agent
- Website
- ai-rep.ru
- Status
- No longer active
Timeline: Startup MVP
Result and business effect
MVP shipped: assignment control, performance, and a question bank. The case shows launching an edtech contour with an AI agent (ai-rep.ru).
A fit if you need
- You need an edtech MVP with an AI agent, not a year-long platform right away - AI agents
- You have a hypothesis about learning or control and want to test it on users - Web applications
- An honest story matters: what was launched and what did not take off - AI agents
Frequently asked questions
Questions about this type of project, the same ones clients ask before a similar build.
Why not build it on a no-code platform?
For testing a hypothesis over a couple of months, a builder is fine. Custom code pays off once you hit limits on permissions, integrations, speed or plan quotas. A common path: prototype on a builder, then an MVP on your own code with the data migrated.
How much does it cost and how do I pay?
We price per task, with an estimate in 1–2 days after the brief. It depends on the roles, screens and integrations in the release. You pay per iteration — prototype, MVP, next stage — on acceptance, not the whole budget upfront.
Who owns the code?
You do. The code and infrastructure stay with your company, so you can switch teams without rewriting the product.
What if the requirements change along the way?
Before coding we agree what goes into v1 and what goes to the backlog. New ideas do not break the current stage: we estimate them separately and plan them for the next one. Every finished task goes to staging, so you see the product instead of waiting for the end.
Need an AI learning MVP?
Describe audience and the 60-second scenario - we’ll estimate MVP scope to first demo.
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