In a rapidly evolving digital world where maximizing efficiency and creativity are more crucial than ever, many of us may find ourselves pondering how to use AI like ChatGPT for more than basic tasks. What if one could harness AI to not just automate, but to vastly personalize and organize our work environments? This insightful video by Enovair, titled “STOP Using ChatGPT Normally. Use Projects Like This Instead,” first published on June 7, 2025, dives deep into rethinking how we engage with ChatGPT Projects. The content teases out the notion that treating these AI projects as rudimentary folders is a shortcut to mediocrity and inexplicably missed opportunities. The illustrative examples detailed in the video systematically guide the viewer through using ChatGPT Projects to organize and boost productivity and effectiveness in multifaceted tasks like marketing campaigns and client management. Particularly compelling is the step-by-step walkthrough that educates on setting up custom projects within ChatGPT, starting with organizing workspaces into a cohesive, intelligent format to streamline efforts across different sectors such as marketing and book writing. It vividly illustrates setting up files, structuring instructions, and employing different AI models to contextualize tasks better. The approach proposed carries merit, especially when one considers the video’s illustration of using multiple models now possible within the same project, providing an unprecedented level of flexibility in tailoring AI functionalities to one’s specific project needs—a practical evolution from prior limitations. However, it is here the discussion strikes a contemplative tone, acknowledging the inherent limitations of ChatGPT Projects, such as the inability to automate coordination across separate chats or integrate third-party applications directly, challenges that creative solutions have yet to fully overcome. In parallel, the comparative analysis between ChatGPT Projects and custom GPTs provides a nuanced perspective, contemplating considerations for when to employ either tool. This reflective argument presents a balanced overview, celebrating the organizational capabilities of Projects while realistically questioning their practical scope compared to more specialized and open-ended custom GPT applications. Ultimately, Enovair urges users to rethink AI deployment strategies actively, encouraging viewers to abandon the traditional path and step towards nuanced, high-yielding AI engagement that could redefine personal workspace management and collaborative dynamics. The narrative does not only elucidate how to better utilize AI within existing constraints but also invites speculation on the potential developments that may soon follow if these tools continue to evolve at such a rapid pace, a thought-provoking consideration for all tech enthusiasts.