I’m Tomislav, the creator of Drawize (10M+ users ). I’m building Drawize Academy: a virtual drawing tutor that gives feedback on your own drawing while you practice—rather than generating art for you. The first lesson is free to try.
Why I built it
Drawing has been part of human culture since the earliest cave paintings, but today it’s hard to get real feedback: schools cut art budgets and private tutoring is expensive. I wanted to see if software could act as a pedagogical coach that helps you improve through practice.
How the feedback works
Rather than sending only the raw canvas, I augment and preprocess the drawing before it goes to the model. The goal is to give the AI clearer context and make feedback more consistent across attempts, without turning this into an image generator.
The philosophy
This is about "Instructional Scaffolding" — building skill through short, guided practice loops and iteration. We focus on the science of Deliberate Practice rather than "matching pixels" or outsourcing the creative work to AI.
Tech
- Backend: C#/.NET API
- Frontend: React
- Model: Gemini 3.1 Pro Preview
- Logic Layer: Custom drawing preprocessing and augmentation to minimize LLM spatial hallucinations
Early access
I’m currently at the “first sales” wall for this educational model, so I’m offering Early Access Lifetime Access for $19.50 (one-time payment) to validate demand and fund development.
Feedback I’d love
1. Does the real-time feedback loop help you notice mistakes faster?
2. In a world of generative AI, does learning to draw still feel valuable to you?
3. Does the “coach” feel supportive and actionable, or like a grading algorithm?
Happy to answer questions about the .NET/React implementation, how feedback is generated, and the pedagogy behind the lessons!
I’m Tomislav, the creator of Drawize (10M+ users ). I’m building Drawize Academy: a virtual drawing tutor that gives feedback on your own drawing while you practice—rather than generating art for you. The first lesson is free to try.
Why I built it
Drawing has been part of human culture since the earliest cave paintings, but today it’s hard to get real feedback: schools cut art budgets and private tutoring is expensive. I wanted to see if software could act as a pedagogical coach that helps you improve through practice.
How the feedback works
Rather than sending only the raw canvas, I augment and preprocess the drawing before it goes to the model. The goal is to give the AI clearer context and make feedback more consistent across attempts, without turning this into an image generator.
The philosophy
This is about "Instructional Scaffolding" — building skill through short, guided practice loops and iteration. We focus on the science of Deliberate Practice rather than "matching pixels" or outsourcing the creative work to AI.
Tech
- Backend: C#/.NET API
- Frontend: React
- Model: Gemini 3.1 Pro Preview
- Logic Layer: Custom drawing preprocessing and augmentation to minimize LLM spatial hallucinations
Early access
I’m currently at the “first sales” wall for this educational model, so I’m offering Early Access Lifetime Access for $19.50 (one-time payment) to validate demand and fund development.
Feedback I’d love
1. Does the real-time feedback loop help you notice mistakes faster?
2. In a world of generative AI, does learning to draw still feel valuable to you?
3. Does the “coach” feel supportive and actionable, or like a grading algorithm?
Happy to answer questions about the .NET/React implementation, how feedback is generated, and the pedagogy behind the lessons!