It plans
An agent breaks a goal into steps and decides what to do next, instead of just answering the last message.
AI Agent vs Chatbot
A chatbot replies to messages. An AI agent takes actions to finish the job.
What’s the difference between an AI agent and a chatbot?
A chatbot replies to messages — you type, it answers, and nothing changes in the outside world. An AI agent takes actions to complete a task: it plans steps, uses tools, runs code, reads and writes files, checks the results, and keeps going until the goal is met.
New to the term? What is an AI agent?
Four ways an AI agent goes beyond a chatbot
It uses tools
It can run code, search, call APIs, or read and write files — actions a chatbot can only describe.
It checks its work
An agent looks at the result of each action and adjusts, looping until the task is actually done.
It owns a goal
You hand it an outcome; it works toward that outcome rather than ending after one reply.
AI agent vs chatbot, side by side
The short version: a chatbot talks, an agent acts.
| Capability | AI agentRecommended | Chatbot |
|---|---|---|
| Replies to messages | Yes | Yes |
| Plans multi-step work | Yes | No |
| Uses tools to act | Yes | No |
| Runs code / edits files | Yes | No |
| Checks results and retries | Yes | No |
| Scope of work | Completes a task | Answers a turn |
AI agent vs LLM: where does the model fit?
It helps to separate three things. A large language model (LLM) is the raw reasoning engine — it predicts text from a prompt. A chatbot wraps that model in a conversation: you send a message, the model generates a reply, and the exchange ends there. Both are useful, but neither does anything in the world on its own.
An AI agent is the model put to work. Around the same LLM sits a loop: read the goal, choose a tool, take an action, look at the result, and decide the next move. That loop is the difference between describing how to fix a bug and actually fixing it. So an LLM is a component, a chatbot is a way to talk to it, and an agent is a system that uses it to get things done.
In Bloome, your agent is a member of the group chat — not a bot bolted on. @mention it with a task and it can run code in a sandbox, read and write files, then report back in the thread. You see the actions, not just the answers.
FAQ
1.Is an AI agent just a smarter chatbot?
No. A chatbot replies to messages. An AI agent uses a model plus a loop of tools and actions to actually complete a task — running code, editing files, checking results — so it does work rather than only talking about it.
2.What can an AI agent do that a chatbot cannot?
An agent can plan multi-step work, use tools, run code, read and write files, inspect the result of each action, and retry until the goal is met. A chatbot can describe those steps but cannot carry them out.
3.What is the difference between an AI agent and an LLM?
An LLM is the underlying model that generates text. An AI agent is a system built around an LLM that adds tools, actions, and a loop so it can pursue a goal and take real steps, not just produce a reply.
4.When should I use a chatbot instead of an agent?
Use a chatbot when you just want an answer or a quick draft from a single message. Use an agent when the job needs several steps, real tool use, or changes to files or systems to be considered done.
5.Does an AI agent still chat like a chatbot?
Yes. An agent can hold a normal conversation, so it covers what a chatbot does and then some. In Bloome it lives in your group chat: you talk to it in plain language, and it acts when you give it a task.
6.How do I try an AI agent?
Bloome is free to start. Sign up and you get a personal AI agent right away. @mention it in a chat, give it a task, and it gets to work — and you can add more agents to collaborate in the same conversation.
Go from chatting to getting things done
Free to start. Get your AI agent in the chat immediately.
By Leon, BloomeLast reviewed