AI Agent
Autonomous AI systems that can plan, execute multi-step tasks, use tools, and take actions to achieve goals.
Definition
An AI agent is an autonomous artificial intelligence system that can perceive its environment, make decisions, and take actions to achieve specific goals. Unlike simple chatbots, agents can plan multi-step tasks, use external tools, browse the web, execute code, and work independently with minimal human intervention.
AI agents combine LLM reasoning with action capabilities. They can break down complex goals into subtasks, determine which tools to use, execute actions, and iterate based on results. Examples include coding agents, research agents, and workflow automation agents.
Why It Matters
AI agents represent the next evolution of AI tools—from assistants that respond to agents that act. Marketers will increasingly use agents to automate complex workflows like competitive analysis, content distribution, and campaign optimization.
Understanding agentic AI helps marketers prepare for a future where AI doesn't just suggest actions but executes them autonomously.
Examples in Practice
A research agent is given a topic and autonomously searches the web, reads relevant articles, synthesizes findings, and produces a comprehensive report with citations.
A marketing automation agent monitors campaign performance, identifies underperforming ads, generates new variations, and adjusts budgets—all with minimal human oversight.