Foundations
What Are AI Agents?
A software system that accepts a goal, breaks it into steps, and keeps acting until the task is done.
An AI agent is not a chatbot. A chatbot waits for your next message. An agent does not wait. It takes a goal, breaks it into steps, uses tools to act on the world, and keeps going until the job is done.
It runs a loop: observe, plan, act, repeat. That loop is what makes it different.
Why This Matters
When you send a message to ChatGPT, it answers and stops. An agent does not stop. It can search the web, read a file, call an API, check its own output, and decide what to do next, all without you stepping in.
That is useful for complex, multi-step work. It is also where things go wrong fast. Errors do not just happen. They compound. One bad step feeds the next.
The Technical Anatomy (Simplified)
| Layer | What it is | Example |
|---|---|---|
| Goal | The task the agent is trying to complete. | "Research competitors and summarize findings in a report." |
| Planner | The step that breaks the goal into ordered actions. | Step 1: search. Step 2: read results. Step 3: write summary. |
| Tools | External systems the agent can call to take action. | Web browser, calculator, calendar API, code interpreter. |
| Memory | Context the agent holds across steps. | Previous search results, partial outputs, user instructions. |
| Feedback Loop | The check that decides what to do next based on results. | Did the search return useful data? If not, retry with a different query. |
Is This For You?
- Use this if: Your task has multiple steps, touches external systems, and changes based on what it finds along the way.
- Skip this if: Your task is predictable and sequential. A single prompt or a simple script is cheaper, faster, and easier to fix when it breaks.
Alternatives
Scripted automation (cron jobs, Zapier, n8n) handles predictable workflows with less risk and more transparency. Reach for an agent only when the task requires adaptive reasoning across steps you genuinely cannot predict in advance.
Keywords: AI Agent, Autonomous Agent, LLM Agent, Tool Use, Planner, Memory, Feedback Loop, Multi-step Automation, Agent Safety
Dive deeper in my Observations on Your Agent Is Just a Checklist.