Capabilities of Large Language Models (LLMs) have evolved significantly, and their usage has become ubiquitous with our use of tech. This presents new avenues to help manage ADHD, particularly with executive functions (EFs). EFs, crucial for tasks like planning and self-monitoring, are areas where LLMs can be particularly beneficial. This presentation will first explore what executive functions are and some of the difference between the major models (such as Dr. Russell Barkley's Model of Self-Regulation and The Brown Model of Executive Function Impairments in ADHD). It is critical to understand how executive function is impaired with ADHD when trying to determine to what tools to use. We will explore various LLM tools, such as ChatGPT, Claude, Gemini and others, and their applications in addressing EF challenges. LLMs can assist with organization, planning, and prioritization, as well as applications for helping managing attention and emotional regulation. The use of LLMs is not without ethical implications. Issues such as accuracy, potential misuse, and the generation of misleading content are concerns, especially in sensitive areas like ADHD management. It’s crucial to be aware of these limitations and the inherent risks in relying on text prediction technologies, which can propagate errors and misinformation.