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Meier Suite Escuela

For teachers, robotics clubs and makers

Robot simulator for reinforcement learning Teach a robot to walk. And truly understand AI.

Escuela turns reinforcement learning into something you can see: lessons, rewards, attempts and a brain that lights up as it decides. Your AI helps you design the lessons.

See how it works

Free account · No card · Delivered on launch day

  • Free to edit
  • 27 tools for your AI
  • Español · English · עברית
Learns as a herd: Dozens of students practice at once to learn faster.
MCP connection

Whether or not you know AI, the robot learns.

MCP is an open standard that connects your AI to the app's real tools, like a universal plug. You talk normally; your assistant picks the tool, uses it and leaves you a result ready to edit.

You

Teach it to get up when it falls.

Your AIClaudeor any MCP-compatible assistant
Escuela·Uses the app's tools

Waiting for instructions from your AI…

  • practice_lesson
  • training
  • get_progress
Result

Training; I'll tell you when it passes the lesson.

If it's your first time with AI

Tell it what you want the robot to learn and your AI builds the lesson. Watch it try, fall and improve, and understand reinforcement learning without formulas.

If you already train models

Scenarios, criteria and training parameters in one sentence; you design the curriculum.

The connection is free and you set it up once. You pay for your AI with your own account; everything it does stays editable in the app.

The problem

AI gets taught with formulas. And nobody sees it.

Formulas don't hook anyoneand the class is lost before it gets to the good part.
Real robots breakand every fall costs parts, time and budget.
Training looks like black magicparameters, consoles and charts nobody understands.
With your AI

Design a lesson out loud. Watch it learn tonight.

Your assistant uses Escuela's 27 tools: creates lessons and scenarios, defines what gets rewarded and penalized, trains and reports progress. You decide what it should learn.

You
Create a lesson to climb the steps: reward moving forward and up, penalize falling and touching the floor with the hands. Pass it when it reaches the goal 7 out of 10 times and train it tonight.

What it does in the app, with the connector's real tools:

  1. add_lessonClimb the steps
  2. add_criterionforward +10 · up +5
  3. add_criterionfall −10
  4. update_lessonpass: goal 70 %
  5. trainingstart
Your AI
Done: the lesson is in the plan and the herd is already practicing. Tomorrow I'll show you the progress and the best attempt.

Before

  1. Code rewards by hand
  2. Tune parameters blindly
  3. Read charts without context
  4. Fix the robot that fell

With Escuela + your AI

  1. Explain what it should learn
  2. Watch it try in 3D
  3. Celebrate when it passes

You stay in charge: everything stays editable, and if you don't want AI, everything works by hand.

In action

What you'll be able to do

Learns as a herdDozens of students practice at once to learn faster.
Its brain, liveWatch which connections light up as it decides each move.
34 scenariosHurdles, boxes, stairs and balls to practice on.
Lesson by lessonFirst stand up; then walk, jump and do a backflip.
ExamOne student, no help, to see if it really learned.
Why Escuela

Learning by watching it learn

A lesson plan

From standing up to a backflip, step by step, like a real coach.

The brain, in plain sight

Every sense, layer and muscle lights up as it decides.

34 scenarios, nothing breaks

Stairs, beams, boxes and ball storms, in simulation.
Questions

What everyone asks before saying “I want it”

What is Escuela Meier?

It's a simulator to teach robots, lesson by lesson, with reinforcement learning. You define rewards and penalties in words, watch every attempt and see the robot's brain — its neural network — light up as it decides. It includes 34 scenarios and connects over MCP to your AI, which helps you design lessons with 27 tools.

What is reinforcement learning?

It's a kind of machine learning where an agent tries actions and gets rewards or penalties based on the result; over thousands of attempts it learns what works. In Escuela you watch it happen: the robot falls, gets up and improves with every lesson.

Do I need to know how to code?

No. Lessons are built from rewards and penalties in plain words; your AI can propose them for you.

Does it work for my class?

Yes: students see every attempt, every reward and the robot's brain. It's a concrete way to explain how an AI learns.

Is it really free?

Yes. The account and every editing tool are free. You only pay if one day you want Iris to generate images, video, voice or music with Meier Credits, at the provider's cost. It's optional.

Do I need to know about AI?

No. If you already use Claude or another MCP-compatible assistant, you connect it in three steps and talk to it like a colleague. If not, the app works fully by hand.

What happens when I say “I want it”?

You create your free account and join the Escuela launch list. On launch day you'll find it in your account and we'll let you know. People on the list get it first.

Your next AI class can end in applause.

Save your spot for Escuela for free and get it on launch day.

  1. Create your free accountThirty seconds. No card.
  2. You're on the Escuela listYour spot is saved.
  3. It arrives on launch dayIn your account, before anyone else.

Free account · No card · Delivered on launch day

Escuela MeierFree to edit

Save your spot for Escuela. It's free.

One account for every Meier Suite app.