This project, conducted at Israel University, has a lovely aim: to train entry-level students in electronic components and robotics competitions by leveraging artificial intelligence (AI) tools. We know that students often lack experience in these areas, so we’ve designed this initiative to help! By integrating Designer_AI and Flux AI, we can enhance their creativity, promote collaborative work, and facilitate learning in robotic design. Designer_AI is a great tool that helps students visualise robot designs based on specific prompts, adhering to competition regulations and robotics principles. Flux AI is there to help students connect electronic components using data sheets. This makes it easier for them to understand and simulate the correct connections based on their programming. The project then moves on to using Autodesk TINKERCAD, which is great for 3D modelling, programming and visualising prototypes before manufacturing. This approach is great for students because it helps them to be more creative, and it also encourages them to think in new ways and work together. Flux AI is really effective at helping students to improve their technical skills and understanding of electronic design. However, the article doesn’t go into much detail about how this was evaluated. We’ve updated the abstract and conclusion to reflect both the technical achievements and the educational impacts of the project, which better aligns with the article’s purpose.