AI agent
Unlike chatbots that only answer questions, AI is an AI that makes plans on its own and uses tools to carry out tasks when given a goal.
An AI agent is an AI that, when given a goal, makes a plan on its own and carries out the task to the end by selecting tools such as search or file creation. Unlike chatbots that end after answering a question once, the key difference is that you can entrust the entire task to them like a competent new employee.
LLM has become feasible with the ability to plan and use tools, and is rapidly being introduced to coding assistance, research agency, customer service, and work automation. This is the concept at the center of a new way of working, where humans are only responsible for goals and review, and AI is responsible for execution.
However, as many steps are performed autonomously, errors may accumulate if one makes a mistake in the middle. How much authority is given and how to supervise is a key issue in implementing it into practice.
✅ Why it matters
- You can delegate entire tasks beyond one-shot Q&A
- By combining tools such as search and code execution, you can accomplish tasks that AI alone could not do
- Significantly expand the scope of automation of repetitive, multi-step tasks
⚠️ Limits and debates
- As the steps take longer, small errors can accumulate and the results may be wrong
- It is difficult to determine how much authority to give such as payment or data deletion
- Many say that it is still too early to completely trust and entrust it without human supervision.