Agentic AI Systems

If you only skim one section: the rise of Agentic AI Systems is underscored by Google's Gemini 3, which has quickly become a focal point for developers. The video "Build an AI Agent with Gemini 3" by Google for Developers, despite having fewer views than its counterpart, plays a crucial role in demystifying the development process for AI agents. It reflects the industry's need for practical insights into implementation—an essential aspect for developers looking to harness this technology effectively. Conversely, "A new era of intelligence with Gemini 3" by Google DeepMind, with over 300,000 views, emphasizes the transformative potential of Gemini 3 in AI capabilities. This stark contrast in view counts illustrates a significant interest in both foundational knowledge and overarching implications of AI advancements. As organizations adopt these systems, understanding the nuances of their architecture becomes paramount to mitigate the blast radius of potential failures or inefficiencies. Ultimately, the dual focus on development and theoretical implications in these videos highlights a critical juncture for AI practitioners. The balance of practical application and strategic foresight is vital for leveraging Agentic AI Systems effectively. As these technologies evolve, the conversation will inevitably shift towards operationalizing these insights within diverse architectures, ensuring that developers are equipped to navigate the complexities of modern AI landscapes.