Algorithms are the invisible engines driving our digital world, powering everything from search suggestions to medical diagnoses. Designing these algorithms is traditionally a complex, human-driven process. But what if we could enlist the help of artificial intelligence? Researchers have explored using Large Language Models (LLMs) – the brains behind tools like ChatGPT – to automate and enhance algorithm design. However, simply prompting an LLM to create an algorithm isn't enough. This is where the LLM4AD platform comes in. LLM4AD offers a structured framework that combines the creative potential of LLMs with sophisticated search strategies. Think of it as giving the LLM a toolbox and a blueprint to guide its design process. The platform supports various algorithm design tasks – from optimizing delivery routes (combinatorial optimization) to training machine learning models – and allows researchers to experiment with different LLMs and search methods. Early results are promising. LLM4AD has shown its ability to generate effective algorithms for a diverse range of problems, often surpassing those crafted by traditional methods. Interestingly, the research also highlights that bigger, more powerful LLMs don't always translate to better algorithm design. It's the synergy between the LLM's creative power and the platform's structured guidance that seems to be the key. LLM4AD is not just a tool; it's a step towards a new era of algorithm design where AI collaborates with humans to create more efficient, innovative solutions for complex problems. While challenges remain, LLM4AD opens exciting new possibilities for optimizing everything from supply chains to scientific discovery.