video1.0<iframe src="https://www.loom.com/embed/6abf23d5fb63444c907280e915098420" frameborder="0" width="1658" height="1243" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12431658Loomhttps://www.loom.com12431658https://cdn.loom.com/sessions/thumbnails/6abf23d5fb63444c907280e915098420-34bdc3e731641a0d.gif313.673In this video, I discuss the challenges of selecting the right AI agent for your workflow, given the overwhelming number of options available. I introduce AgenticLib, a decision engine designed to provide tailored recommendations based on specific user needs, such as managing leads in real estate. Unlike general AI models like ChatGPT, which offer inconsistent suggestions, AgenticLib evaluates agents against user requirements and identifies gaps in capabilities. I demonstrate how it matches various agents to specific tasks, ultimately recommending a complete AI stack to cover the entire workflow. I encourage you to consider using AgenticLib for a more effective approach to finding the right tools.