"By this point, AI agents have to be one of the most hyped and frequently used words of this decade. From LinkedIn to YouTube videos, everyone's talking about them. So out of curiosity, a month back, I tried to get to the bottom of what's so special about AI agents and how I could use them to make my day-to-day work as a product manager easier."
"We'll start with a brief overview of what AI agents are and how they can improve your personal and business workflows. Then, I'll talk about how I built my AI agents, compare a few different agent builders, and explain why I chose the one I ended up using. We'll also cover when and when not to use AI agents, some of the risks you may want to consider as a PM, and how to measure their impact and effectiveness."
"A travel agent is a person who helps you book your vacation. They would ask for your travel goals and help you with booking everything from travel tickets to accommodations. With the rise of online portals such as booking.com, fewer people use these agents now, but to understand the context of agents, a travel agent is a perfect example. You tell the agent what you want, and the agent will do that particular thing for you."
AI agents are software that accept user goals and perform actions on behalf of users, analogous to a travel agent booking trips. Building AI agents can streamline personal and business workflows by automating repetitive and multi-step tasks, aiding product managers in day-to-day work. Hands-on experimentation can produce functioning agents with small user bases without paid marketing. Evaluation should include selecting appropriate agent-building platforms, understanding when agents are suitable or not, assessing risks such as incorrect actions or privacy concerns, and measuring impact through usage metrics and effectiveness.
Read at LogRocket Blog
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