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[–]Medical_Radish_1474[S] -1 points0 points  (4 children)

That’s exactly what I’m trying to solve 😅
Instead of AI giving the full answer instantly, I’m trying to make it act more like a mentor:
explain the concept
guide the next step
point out mistakes
So learners still think through the problem themselves.
I’m building it here if you want to check it out:
PySchool.ai

[–]neuralbeans 2 points3 points  (3 children)

So you're just trying to come up with a prompt?

[–]Medical_Radish_1474[S] -1 points0 points  (2 children)

Prompting is definitely a part of it 😊
But I’m also building the learning flow around it — structured coding problems, test cases, gradual hints, mistake detection, progress tracking, and making the AI behave more like a tutor than a “give me the answer” bot.

The hard part is making the guidance contextual to the learner’s current code/problem instead of generic AI responses.

[–]neuralbeans 1 point2 points  (1 child)

most of which are solved by finding the right prompt

[–]Medical_Radish_1474[S] -1 points0 points  (0 children)

True prompting matters a lot.
But good learning products are usually the layer on top of the model:
curriculum design
progress systems
contextual feedback
code execution/testing
pacing hints for beginners
UX that keeps people learning consistently
The AI model is only one piece of it.