Scholé Scenarios
Learn by doing
What it does
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.
Practice real workplace conversations in playable scenarios — pitch to an investor, save a difficult sale, explain AI to a teammate — with in-the-moment coaching that adapts the next lesson to how you perform.
Schole launched at #1 on Product Hunt, beating Youtube, Meta, and 400+ more for the top spot! Practice real conversations, get coached in the moment, and let the lesson adapt to how you perform. Start with a focused lesson built around the work you need to do. Try that skill in a real-world scenario that feels like your day-to-day. Receive clear feedback on your choices, with guidance for what to try next. Your next lesson adapts to what you’ve learned, practiced, and need next. Give every employee a safe space to try the conversations and decisions that shape their work. Sign up as an organization, and try it now on adminfrom schole.ai
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Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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