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From Zero to Agent: Get Started with CrewAI in Minutes
Introduction
At the beginning of this year, I heard someone saying that 2025 was going to be the year of agentic AI when we would start using AI to perform tasks for us instead of only responding to prompts.
But first of all, let us define an AI agent.
AI agent is a Large Language Model (LLM) with the ability to make decisions and take actions to achieve specific goals. The idea is to perform tasks based on prompts and predefined rules.
AI agents are everywhere — from chatbots handling customer service to recommendation systems suggesting your next favorite show. Each day, these models become more advanced, tackling increasingly complex tasks and giving us back something precious: time.
I have been seeing agents being created everywhere and new tools oriented in the sense of making the creation of agents a common task. Whether it’s no-code platforms where you can build an agent by simply dragging and dropping boxes or powerful programming tools like Python, creating an AI agent is becoming a common and accessible task.
