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# Meet SpeedL

SpeedL is an AI system that turns the files and materials you already have into simulation training. The best way to discover it is to try it.

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[![Actual gameplay from the featured factory safety demo](https://speedl.ai/assets/images/docs/factory-safety-demo.png)](https://example-safety.speedl.ai/) 

## Try it: a factory emergency

An emergency unfolds at the factory. What would you do? Enter the scene, follow the prompts, and see what happens after your decisions.

[Play the demo](https://example-safety.speedl.ai/) [Explore more demos](https://speedl.ai/home) 

The game opens in a new tab. Come back after playing to discover how it was made.

## Turn your materials into training people can practice

![Concept illustration: a team prepares a camera and paper scripts on the left; a creator provides materials that become simulation scenarios on the right.](https://speedl.ai/assets/images/docs/training-with-speedl.png)

### Without SpeedL: prepare each scenario yourself

Ask an expert to demonstrate, write scripts and shoot videos. Each additional situation needs more content.

### With SpeedL: provide your materials and your goal

AI helps design scenarios, arrange branches and write code, turning reading materials into simulations where people make decisions.

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## More steps mean more paths to prepare

Assume every step offers 3 choices, and each choice can continue to all 3 choices at the next step.

A, B and C represent three choices. Only the middle branch is expanded; the other branches each have three choices too.

1. Step 1**3**complete paths
2. Step 23 × 3 = **9**complete paths
3. Step 33 × 3 × 3 = **27**complete paths
4. Step 53 × 3 × 3 × 3 × 3 = **243**complete paths

By step 5, there are 243 choice combinations. Preparing these paths in scripts or videos means designing the branches and checking that each transition makes sense.

### Focus on the training goal. Let AI help with the design.

You do not need to learn branching design or programming first. Describe what employees should learn; AI helps choose the simulation format and design decisions and outcomes.

## From watching to practicing

![Concept illustrations of four applications: guided employee practice, independent assessment, handing work to a colleague and practicing machine operation in a simulation.](https://speedl.ai/assets/images/docs/simulation-use-cases.png)

### Employee training

Put workplace knowledge into scenarios where new employees practice judgment and choices.

### Company assessments

Review decisions in scenario-based tasks to identify areas that need more practice.

### Workflow handoffs

Rehearse what happens next and who should receive the work.

### Machine operation

Simulate operating procedures and exception handling to practice sequence and judgment.

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## Start with your own materials

Prepare a work document and the task you want learners to accomplish.

[Start creating simulation training](doc2sim.md) 

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## Has your company already arranged training?

Start with your invitation and training assignment, find your learning content, and follow the on-screen instructions.

[Start directly from My Simulations](learner-library.md) [Start your assigned training](journey-hub.md)
