Beyond the Chatbot: Using LLMs to Build Interactive Learning Simulations

Learning complex technical subjects often involves wading through dense documentation or relying on AI summaries that can feel superficial. Laurentiu Raducu is challenging this paradigm by using Large Language Models (LLMs) not as tutors, but as software engineers to build interactive, visual simulations.

Raducu’s method replaces traditional text-based Q&A with the creation of low-poly, "Rollercoaster Tycoon-style" animations. By prompting AI to generate code for these simulations, he maps abstract technical concepts to physical objects within a game-like environment. He has already applied this workflow to highly specialized fields, creating simulations for rocket engines, EUV lithography, and a chip manufacturing project dubbed "ChipTycoon."

The Simulation Workflow

The process follows a structured four-step pipeline designed to ensure technical rigor. First, Raducu uses the LLM in "plan mode" to build a comprehensive foundational knowledge base. Second, he reviews this knowledge for accuracy. Third, he prompts the AI to translate that verified data into a low-poly simulation complete with user experience (UX) elements. Finally, the resulting tool is deployed via GitHub Pages for interactive use.

This shift is driven by a frustration with the current state of AI-generated educational content. "I personally find the style used by LLMs to explain things difficult to follow," Raducu wrote on his blog. "It's just too simplistic and depending on the number of emojis used, a bit annoying too."

From Tutor to Tool-Builder

This approach represents a fundamental shift in how users interact with generative AI. Rather than treating the LLM as a source of truth or a conversational partner, Raducu treats it as a tool-builder capable of creating custom educational software. By transforming a theoretical explanation into a visual system, the learner can manipulate variables and observe outcomes, which Raducu argues improves long-term retention compared to reading a summary.

The Illusion of Learning

Despite the utility of the tools, the method has sparked a debate on Hacker News regarding the nature of technical mastery. Critics argue that while visual simplifications make a topic feel accessible, they may create an "illusion of learning" similar to that found in pop-science videos. The core of the debate centers on whether interacting with a simplified simulation builds genuine problem-solving capability or merely provides a surface-level understanding of a complex system.

As LLMs become more proficient at generating functional code, the potential for this "simulation-first" learning to scale increases. The next phase for this methodology will likely involve determining if these tools can be standardized for broader educational use or if they remain a niche strategy for highly technical self-learners.