Agentic AI represents a significant shift from traditional AI systems, focusing on creating autonomous agents capable of making decisions based on specific objectives. These agents employ advanced reasoning that adapts to different scenarios, moving beyond rigid frameworks of conventional programming. Agentic AI has the potential to handle repetitive and time-consuming tasks, allowing humans to focus on more creative and strategic initiatives. However, its capabilities are often exaggerated, and it's essential to understand both its strengths and limitations. The technology is already being applied in various industries, such as customer service bots, virtual assistants, and security systems, demonstrating its versatility and potential to revolutionize sectors. Nevertheless, the market for AI note-taking solutions has become congested, with many startups chasing similar objectives, leading to oversaturation and making it challenging for consumers to identify truly superior products. Effective differentiation is crucial, and startups must focus on addressing genuine user needs rather than chasing technological trends. Venture capital plays a significant role in fueling the current AI boom, particularly around Agentic AI technologies, but this can lead to the "first to market" fallacy, where companies prioritize rapid growth over sustainable competitive advantages. Founders who remain anchored to their original mission and genuine enthusiasm for solving specific problems tend to make more thoughtful decisions, distinguishing themselves from those who are driven by financial motivations alone. As Agentic AI continues to evolve, organizations must develop strategies to separate genuine innovation from marketing hyperbole, focusing on tools that provide transparency and measurability to ensure informed decision-making.