Imagine a vast, complex machine like a particle accelerator, humming with power as it propels subatomic particles at near-light speeds. Operating these scientific marvels requires a team of highly skilled experts constantly monitoring and adjusting intricate systems. But what if there was an AI assistant that could streamline this complex process? Introducing GAIA, a General AI Assistant designed to revolutionize how we operate particle accelerators. GAIA leverages the power of large language models (LLMs), combined with a high-level control system and access to various knowledge bases, to act as a multi-expert system. Think of it as having a team of specialists at your fingertips, ready to answer questions, retrieve information, and even execute complex tasks. How does GAIA work? It uses a technique called 'reasoning and action' prompting, allowing it to interact with tools and retrieve knowledge just like a human operator. Need to know the current status of a specific parameter? GAIA can access the control system and provide the answer. Want to understand a complex procedure? GAIA can tap into the electronic logbook or even message a human expert for clarification. This approach not only simplifies operations but also enhances safety by reducing the potential for human error. GAIA can even generate Python scripts to automate tasks, further streamlining the workflow. For example, an operator could ask GAIA to "operate the accelerator at maximum energy gain," and GAIA would generate the necessary code to execute this command safely and efficiently. While GAIA is still under development, it shows immense promise for simplifying and accelerating complex scientific operations. Future improvements include faster processing, better handling of complex queries, and even the ability to understand images and other multimedia content. GAIA represents a significant step towards a future where AI assists scientists in pushing the boundaries of human knowledge.