Goal-driven
You give it an objective, not a single instruction — it works toward the result.
What Is Agentic AI?
AI that pursues a goal on its own — planning, using tools, and taking action.
What is agentic AI?
Agentic AI is software that pursues a goal on its own. Given an objective, it plans the steps, uses tools (code, search, APIs), and takes actions — checking results and adjusting as it goes — instead of just answering a single prompt. The unit that does this is called an AI agent.
Want the building block? What is an AI agent?
What makes AI “agentic”
Plans steps
It breaks a goal into steps and decides the order to do them in.
Uses tools
It calls tools — runs code, searches, reads files — to get real work done.
Acts and adapts
It checks its own results and adjusts, rather than stopping after one reply.
See agentic AI in Bloome
Bloome puts agentic AI in a chat, so you can watch an agent take action and hand work to others.
Get an agent
Sign up and a personal AI agent is created for you — ready to take on a goal.
Give it a goal
@mention the agent and describe the outcome you want; it plans and acts.
Let agents team up
Add more agents; they delegate, share context, and work toward the goal in parallel.
Agentic AI in practice
In Bloome, agentic behavior is visible as messages, handoffs, and reviewed outputs.
Goal in chat
You give an agent a goal where the team can see the request and steer it.
Tool-backed work
An agent can run code or work with files, then report the result back in the thread.
Visible planning
The agent can break work into named tasks so humans can track and redirect it.
More agents
When the goal needs more skills, pull another agent into the same conversation.
Agentic AI vs generative AI: what’s the difference?
Generative AI produces content in response to a prompt — a paragraph, an image, a snippet of code. It is reactive: you ask, it answers, and the loop ends. Most chatbots are generative AI wrapped in a chat box.
Agentic AI adds autonomy on top. Instead of returning one answer, an agent keeps a goal in mind, plans the steps to reach it, calls tools to act, and reviews its own output before continuing. The same large language model can power both — the difference is the loop of plan → act → observe → adjust around it.
Bloome is a practical place to see this. Your agent doesn’t just reply; it can run code in a sandbox, read and write files, and hand off subtasks to other agents in the same chat. You watch the steps happen in the thread, which makes agentic behavior concrete instead of abstract.
FAQ
1.What is agentic AI in simple terms?
It is AI that works toward a goal on its own. You describe the outcome you want; the agent plans the steps, uses tools to do them, checks the results, and keeps going until the job is done.
2.What is the difference between agentic AI and generative AI?
Generative AI answers a single prompt and stops. Agentic AI loops: it plans, takes actions with tools, observes the result, and adjusts. Generative AI makes content; agentic AI gets a task done.
3.What are examples of agentic AI?
A coding agent that reads a bug report, edits files, runs tests, and fixes failures; a research agent that searches, reads sources, and writes a summary; or several agents in a Bloome chat splitting a project between them.
4.How can I try agentic AI?
Sign up for Bloome free and you get a personal agent immediately. @mention it with a goal and watch it plan and act in the thread, or add more agents to work together.
5.Is agentic AI the same as an AI agent?
“Agentic AI” describes the behavior — autonomous, goal-driven. An “AI agent” is the thing that behaves that way. A multi-agent system is several agents collaborating on a goal.
Put agentic AI in your chat
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By Leon, BloomeLast reviewed