What is an AI Agent? — Beyond Chatbots
Chatbot vs agent
A chatbot answers one question at a time based on what you type. An agent pursues a goal across multiple steps — deciding what to do next, using tools, and adjusting its plan based on results — with far less human direction per step.
The three defining traits of an agent
1. Autonomy — it decides its own next action. 2. Tool use — it can act in the world (search, calculate, call APIs), not just generate text. 3. Iteration — it observes results and adjusts, rather than producing one final answer.
Where agents genuinely help vs. hype
Agents shine at multi-step research, data gathering across sources, and repetitive workflows with clear success criteria. They struggle with ambiguous goals, tasks needing real-world judgment, and anything high-stakes without human review.
Key Takeaways
- Agents pursue multi-step goals autonomously, unlike single-turn chatbots.
- The three traits are autonomy, tool use, and iterative adjustment.
- Agents excel at research and repetitive workflows with clear success criteria.
- Ambiguous or high-stakes tasks still need human oversight.
Identify agent-worthy tasks
List 3 tasks you currently do manually that involve multiple steps, tool use, and a clear success outcome — these are strong candidates for agent automation.