Scholé Scenarios - Learn by doing

Most learning tells you what to know, but doesn’t let you practice what you’ll actually do. Scholé Scenarios brings real-world situations into adaptive learning, so you can practice things like explaining what you learned to a teammate, saving a sale, or talking with a client. Scholé then adapts what you learn next based on how you do, helping you practice the moments that matter.

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Hi Product Hunt! I’m Vinitra, co-founder of Scholé AI! :)

We built Scholé because most learning tells you what to know, without giving you enough chances to practice what you’ll actually need to do. We're really, really passionate about getting learning right.

Today, we’re launching ✨scenarios✨: real-world situations built directly into adaptive lessons.

You can create a scenario to practice anything you want to get better at: e.g. , , , or infinite more.


The key difference is that these aren’t standalone role-plays. Scenarios dynamically appear throughout your learning journey, integrated into your lessons. Scholé tracks what you understand and adapts what you learn and practice next.

We do this through a system of pedagogical agents working together to construct the right lesson for you: at the right difficulty, with the right modalities (we have over 20 now!), on the right topic, with the right examples. We ! And we have a lot more coming.

Scenarios brings together three ideas we care a lot about: learning by doing, learning by teaching, and scenario-based learning. We co-designed this tool with UNESCO and Decathlon, and are very grateful for their support.

We’d love for you to try for free () and tell us what you think! No Scholé account needed. 🎉

 Congrats on the launch! 🚀

Thank you  !
Looking forward to your feedback on the scenarios! Have you tried ?

Congrats on the launch! Can I create scenarios and share it with other people? I mean - as a manager, I might want to use Schole for coaching my team - is that possible?

 you've got the right idea! With our scenario builder, you're able to create any scenario that might make sense for your team, and it's 2 seconds of generation time. All you have to do is describe it with one sentence, and if you'd like, specify some vocabulary / guardrails / make some edits.

Congrats on number two. You co-designed this one with UNESCO and Decathlon, which takes longer than building alone. Free with no account needed is generous.

Hi ! You are right, co-designing processes do take longer to design but on the flip side, less time to adopt because the exact pain points are addressed

Congrats on the launch!

 thank you Martí!

Congrats on the launch 🚀 This looks great. Curious how progress shows up over time. Is there a view that tells a team lead where their people got stronger?

Hi ! Great question ! Indeed, each scenario has a dashboard for the team leads to have full visibility over the team's performance, misconceptions and strengths

  here's a quick preview of what that dashboard looks like on our platform for a sample scenario. Lots of cool analytics, and concrete ideas for next steps based on the findings!

Congrats on the launch! I like that the scenarios are embedded into the learning journey instead of being separate role-play exercises. Adapting what someone practices next based on how they handled a real scenario feels much closer to actual skill development than just generating personalized lessons.

Thank you  !  You spotted the exact thing we were going for!

 Glad to hear that! It’s a strong product decision because it makes the learning feel responsive rather than static. I’m curious to see how the scenarios evolve as you collect more learner behavior data.

congrats on the launch, the "learning by teaching" framing is a good instinct - explaining something back is a much better test of understanding than picking a multiple choice answer. curious about the grading side of the more subjective scenarios, like the difficult retail customer one - is there a rubric per scenario that the pedagogical agents score against, and if a learner disagrees with how their response was judged, is there any way to flag that or get a second read, or is the AI's call final

, super interesting question! indeed there is a rubric derived per scenario, and we designed it to follow best practices from literature in scenario-based learning. When the scenario is created by a learning designer through the builder, they can edit or completely redesign the scholé’s proposed training concepts and what a good or bad response looks like for each of them. They can also set guardrails. We co-designed the retail one with store leaders at Decathlon. However, when the orchestrator decides to generate a mini-scenario in the flow of a lesson, it’s usually only one competency tested, and that is fully agent driven. You can flag something as incorrect, but I love the idea of flagging the interaction 🚩 for review and calling a ref over to change the decision in real time! we’ll work on that!

 that makes sense, and the Decathlon co-design detail is reassuring - a rubric built with people who actually manage difficult retail interactions is a very different thing than one an ML team guessed at. the part I'm most curious about now is the agent-driven mini-scenarios specifically, since those skip the human-designed rubric step. if you ship the "flag + call a ref" feature, would that flagged data ever feed back into tightening the agent's own judgment for that competency, or would it stay a one-off human override each time

it definitely could be taken into consideration in the rubric step (we have hierarchical memory, so there’s some nice places to integrate those insights for recursive self improvement!)

 that recursive self-improvement angle is the part I hadn't considered, that's a much better answer than a static rubric update. the judgement agent idea below is a good complement too - consolidating flags before they hit the rubric would stop one loud user's edge case from overriding a pattern that works for everyone else. curious if that consolidation step is planned for the near-term roadmap or more of a someday idea

We should probably have a judgement agent as well, such that users flagging scenarios gets consolidated and evaluated before changing the instructions directly