An AI agent does more than respond to a prompt: it can use tools and permissions to carry out a task. Abdul Osama (عبدول أسامة) draws the distinction this way: an AI model suggests what to do, an agent can take steps toward doing it, and traditional automation follows a predefined sequence.
“AI used to talk; now it can act.” — Abdul Osama
What changes when AI becomes an agent?
A language model is an AI system that processes language to respond to questions and instructions. Abdul uses ChatGPT, a conversational assistant built on language models, to illustrate the familiar experience of asking a model for answers and suggested steps.
In his explanation, an agent emerges when a model is connected to tools, given tasks and enabled to remember what it needs while working. If a task involves browsing the internet, it needs access to a browsing tool; he gives Chrome, a web browser, as an example. The point is not that calling something an “agent” automatically makes its answers smarter. It is that the system can use tools to work toward a goal.
Quick comparison
| Approach | What you provide | What it does | |---|---|---| | AI model | A question or request | Responds and suggests steps | | AI agent | A goal, tools and permissions | Uses tools and takes steps toward the goal | | Traditional automation | A predefined sequence | Runs the specified steps |
Automation means running procedures according to rules and steps set in advance. Abdul likens that fixed path to a train on tracks, contrasting it with giving an agent a broader goal and room to choose steps.
What comes next?
Abdul says he plans to demonstrate Hermes Agent, an open-source AI agent that can be installed on a computer, in a later video. He describes it as a strong option in his opinion and says he will cover running it on Mac or Windows, choosing a language model to connect to it, and the cost of tokens—the units used to measure model usage. This video explains the concepts; it does not provide installation instructions.
ChatGPT
