Lesson 1312 of 1455
What an 'AI Agent' Actually Is (and How It's Different From a Chatbot)
Devin, Operator, Computer Use — agents act, not just chat. The shift that defines 2026 AI.
Builders · AI Foundations · ~5 min read
The big idea
A chatbot answers your question. An AI AGENT does a task — it can browse the web, click buttons, write and run code, and call other AI as tools, all in a loop until it finishes. Examples: Cognition's Devin (autonomous software engineer), OpenAI's Operator (browses the web for you), Anthropic's Computer Use (controls your screen). Agents are the next step from chat: you give a goal, the agent figures out the steps. They are still unreliable for complex tasks but increasingly real, and they are reshaping what 'using AI' means.
Some examples
- OpenAI Operator can book a restaurant reservation for you — gives goal, opens OpenTable in a browser, fills the form, confirms.
- Cognition Devin writes pull requests on GitHub end-to-end; it's used by some startups for routine bug fixes.
- Anthropic's Computer Use API lets a developer build an agent that controls a virtual desktop — same idea, more general.
- Reliability today: agents work ~70% of the time on simple tasks, ~30% on complex ones — they need supervision, not blind trust.
Try it!
Try ChatGPT's 'Tasks' or any Custom GPT that uses Code Interpreter. Ask it to do something multi-step (analyze a CSV, browse the web, then summarize). Watch it loop. That's the agent pattern.
End-of-lesson quiz
Check what stuck
8 questions · Score saves to your progress.
Lesson help
Questions are best handled with a grown-up here.
For this age range, Tendril keeps freeform AI chat paused until parent/guardian consent and child-safe moderation are fully verified. Use the quiz, notes, and related lessons below, or ask a parent, guardian, teacher, or librarian to work through the question with you.
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