AI Agents & Tool Use
The Personal Assistant Who Actually Does Things
8 min read
The Personal Assistant Who Actually Does Things
There's a difference between an advisor who tells you what to do and an assistant who goes and does it.
An AI chatbot is the advisor — smart, helpful, but passive. An AI agent is the assistant — it receives a goal, breaks it into steps, uses tools (search, browser, code execution, APIs), evaluates results, and loops until the task is done. You say 'book me a flight to Delhi next Friday under ₹5000' and it actually researches, compares, and completes the task.
In Plain English
AI Agents are AI systems that can take actions in the world — browsing the web, writing and running code, calling APIs, and completing multi-step tasks autonomously. They're not just answering questions; they're doing things.
The Technical Picture
AI agents implement a reasoning-action loop (ReAct pattern): the LLM reasons about the task, selects a tool from an available set (web search, code interpreter, database queries, API calls), executes it, receives the result, and reasons again. Tool use is enabled by function-calling APIs in models like GPT-4 and Claude.
Real-World Examples
- Claude's computer use feature browsing the web and clicking buttons autonomously
- Cursor's Agent mode writing code, running tests, and fixing errors in a loop
- OpenAI's Operator completing entire web-based tasks without human input
AI Agents don't just answer — they act. They use tools and loop until the task is done.