Cesar, algo mas

I tried LearnHarness, an open-source AI learning tool, because I was curious to see how a harness would be implemented in education. LearnHarness: github.com/amosblomqvist/lea… TLDR: I liked its live learning graph, but at times I felt tested rather than taught. Before testing it, I used Teachable Code (github.com/ywEdAi/teachable-…) to explore the GitHub repo, then read its teaching methodology. I was curious how ideas about learning became concrete workflows, tools, and state. The learning task I gave was to learn/build backprop from scratch. LearnHarness starts with probing questions, then generates a learning route on the fly using Mermaid. The route combines the learning content, my goal, and its assessment of my starting point. As I work through questions, the corresponding nodes are highlighted. I could see which part of the plan we were working on and why rates of change came before backpropagation. Where I struggled was the teaching itself. I kept answering questions and receiving corrections, including on things I didn’t yet understand. At that point, I wanted explanations, illustrations, and worked examples to help me build the understanding I was being asked to demonstrate. I’d like to reuse that working graph in an AI tutor whiteboard. When I get stuck at a node, we could work through an example together, keeping the calculations visible and tracing what changes when we change an input. I’m building one.