I believe I learnt many things on this exercise but the most important one was working on the paper before the grasshopper. I tried to have the simplest scheme I can imagine and write on the paper, made changes on it a few times and then decide the final scheme. Also, I would like to share my experience with you on this exercise. There was another scheme that Ertunc Hunkar already created but the goal was just to check the structure and create your own. He has a few components I didn't use it before. After I scanned his scheme I tried to create my own with my best. Then I worked with a specialized GPT name as: ''Grasshopper for Rhinoceros3D''. I solved my sketch structure step by step. GPT suggested some possible components to create my own structure. If I had some trouble to finalize my own structure, I knew I can always reach out the Ertunc Hunkar and he could give guidances again. So, I am planning to use this work system for the future cases and open your suggestions!

I've been doing the 28 day Grasshopper Challenge course, and honestly, it feels like someone finally cracked the code for learning Grasshopper without crying into your keyboard. The daily mix of drawing, making little models, and reflecting somehow turns parametric thinking into something...fun? It's gentle, brilliantly structured, and sneaks fundamentals into your brain before you realise it. It's not just great for beginners, intermediate users will get a hugh amount out of it too. Its such a cleverly designed course that it really deserves the attention and support of anyone interested in mastering Grasshopper.

This exercise proved for me that even the simplest Grasshopper steps can give complex and elegant outcomes.

- The one thing that I learnt today. To think properly in a Grasshopper-like way, you have to forget all the features of Rhino3D and think about modeling in its most ‘core’ form. For me, the most logical way to do this was to make sketches using paper and pencil.

I took a quick glance at Ertunç’s latest course, and the material is genuinely superb. The way he breaks geometry into clear, digestible pieces is what many try to achieve but usually abandon somewhere between the first vector and mild existential crisis. He goes a step further by pairing each idea with mockups and a hands-on workflow, making the logic easy to grasp while bringing AI into the mix without letting it hijack our ability to think. It’s a strong direction with a lot of potential, and it highlights exactly why his approach to parametric algorithms stands out. Thanks for the opportunity!