The chapter defines what makes an AI agent different from a chatbot: instead of only producing text, an agent can take action, such as browsing the web, using a computer, or connecting to applications like email, calendars, or banking. It also has orchestration ability, meaning it can set a plan, execute steps with tools, evaluate the results, revise its approach, and spin up sub-agents to handle smaller tasks, all while working toward a broader goal without further human input. The speaker notes that the length of time an agent can operate autonomously has grown from about 15 to 20 minutes a year or two ago to two to three weeks now, with some internal cases running even longer.
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3:07:23one of the fundamental differences with agents is we've given these things the ability to use tools before which means it can go and talk to your banking application or it can talk to your Gmail and your calendar or it can browse the web or it can use your computer >> which means it can take action. It's not just providing a textbased response. Agents also have this ability to do orchestration meaning it can define a plan. It can execute on it using tools. It can get a response and then it can look at that response, re-evaluate its path towards whatever goal was set
3:08:05and then continue to take action. And that the time period in which agents can take action has moved from 15 20 minutes total about two years ago or a year ago to now being able to run for up to 2 to 3 weeks and in internal situations for much longer to that longer than that uninterrupted. This is a very fundamentally different thing. If you can have an agent system, let's we're just still talking about one agent being able to run for long periods of time. It has memory and context. It has the ability to use tools. It has the ability to now re-evaluate its plan, create sub
3:08:46agents under itself to do microprocesses and iterate towards some highle goal independent of an initial human input. >> Right?