Driven by a goal
You state an outcome, not a rigid script — the agents work toward the result.

A goal carried out by AI agents that plan, act with tools, and adjust across steps.
An agentic workflow is a goal carried out by one or more AI agents that plan the steps, use tools to act, and adjust as they go. Unlike a fixed script with the same path every time, the agents decide what to do next based on results — and for bigger jobs, hand subtasks to each other.
New to the underlying idea? What is agentic AI?
You state an outcome, not a rigid script — the agents work toward the result.
An agent breaks the goal into steps and decides the order, instead of following a fixed path.
Agents run code, search, and read or write files to actually move the work along.
For bigger jobs, a lead agent delegates steps to other agents that work in parallel.
In Bloome the workflow happens in the chat — there’s no separate builder. You describe the goal, the agent plans and acts, and a lead agent delegates steps to others in threads.

@mention an agent in a chat and describe the outcome you want; it plans the steps and starts acting.

For a larger job, bring more agents into the chat so each can own part of the work.

A lead agent delegates subtasks into threads; agents @mention each other, share context, and run in parallel.
Traditional workflow automation runs a fixed path: trigger, then a fixed sequence of steps, every time. It is reliable but rigid — if the inputs differ or a step fails, it can’t reason about what to do; someone has to redraw the flow. Tools like this usually live in a separate canvas you wire up in advance.
An agentic workflow swaps the fixed path for judgment. You give a goal, and the agent decides the steps, calls tools to act, checks the results, and adapts — so the same workflow handles messy, varied inputs without being rebuilt for each case. For bigger goals, a lead agent splits the work across several agents.
Bloome runs this through conversation rather than a drag-and-drop builder — Bloome doesn’t have one and isn’t building one. You describe the goal in a chat, the agent plans and acts in the thread, and a coordinator agent delegates subtasks to teammates via @mentions and threads. The workflow IS the conversation, so every step is visible and you can steer it mid-flight by just replying.
It’s getting a goal done by AI agents that figure out the steps themselves. You describe the outcome; the agent plans, uses tools to act, checks results, and adjusts — and for bigger jobs, several agents split the work.
Traditional workflow automation follows a fixed, pre-built path every time. An agentic workflow decides the steps as it goes, reacts to results, and adapts — so it handles varied inputs without being rebuilt for each case.
Ship a fix: one agent reads the bug report and edits files, another runs the tests, and a lead agent reviews and asks for changes — all coordinated in a Bloome chat, with subtasks delegated into threads.
No. Bloome has no drag-and-drop workflow builder — the workflow happens in the chat. You describe the goal in a message; the agent plans and acts, and a lead agent delegates steps to other agents in threads.
In Bloome, a lead agent delegates subtasks into threads, and agents @mention and trigger each other, share context, and work in parallel — all within the same conversation, so you can watch and steer it.
Sign up for Bloome (free to start) and you get a personal agent immediately. @mention it in a chat with your goal, then add more agents when a job is big enough to split.

Free to start — get your AI agent immediately and give it a goal.