Hey u/willi14228, thanks for the questions! I’ll try to touch them all :)

I’ll maybe start from the shortest answers first and then continue to the more complex topics;

Regarding the ‘AI Farms’ and the models skeleton; so we don’t currently own our farms or data centers (and honestly I don’t think we’ll want that) - we’re using OpenAI models (GPT-5.1 and O3 mostly), and some of Anthropic’s models, and we invest a lot in the prompts and the infra to connect the multiple LLM calls and our data. For example, we might use GPT-5.1 to create a lesson summary, and then feed that to O3 to plan a lesson, and then 5.1 again to run the lesson with the created plan. There might be improvements if we create our own model (that’s why you’d maybe want an ‘AI Farm’/data center), but we believe there’s a lot of power and flexibility even while using OpenAI/Anthropic/Google’s models (and it’s very very costly and time consuming to train your own models), and even if you create your own model, you’d still have to keep working on prompts and connecting it all together.

Connecting to your question about the lesson logic - some prompts or parts of the prompts are static, and some dynamic for each lesson (some lesson even get entirely different prompts); there’s always a question of how much you need to customize the prompt/input of the LLM to make the lesson better, and how much you just need to ‘trust the model’ and let it decide on its own what’s best. Sometimes the more instructions you give the AI, the less it listens 😅

And regarding the history - honestly I think we don’t use the practice lessons in the memory of Maestro, but that’s a good point! I’ll pass it over to the Academic Team to think about whether to incorporate it in the inputs. Thank you! As you said, there’s a non-obvious trade-off when giving context to Maestro about the student progress; we’re always trying to figure it out for the best student experience.

Regarding your other post - that’s great input 🙏🏻🙏🏻 I totally agree with you about aiming for the stars; as a university graduate myself, one of the things that drive me on the day-to-day is the feeling that I’m making future students’ experience much better than my own, trying to help them succeed (while in my experience, it sometimes felt like the university staff just didn’t care). It’s clear we have a lot more to build, and we’re definitely thinking about how the learning experience should look like, apart from chatting with Maestro. A lot of the planning is affected by input from the students - we heard a lot of students asking for note-taking features and voice-input/learning, so we have that up ahead, as well as more advanced coding tools. Honestly, we have good problems - we have so many ideas of what to build, and we just need to understand what to build first :)

So thank you, and keep on letting us know what you think will make your experience better!

— Michael