An AI agent is a system that can take actions on its own to complete a goal. It does not just answer questions, but actually performs tasks like browsing the web, or calling APIs. It decides what steps to take based on the task you give it.

How is an AI agent different from a regular chatbot?

A chatbot responds to messages. An AI agent acts. It can plan, use tools, and work through multi-step tasks. It's the difference between a reactive customer service bot that gets routinely stuck and escalates only when explicitly triggered, and a proactive AI customer support agent that decides when to escalate, can edit customer or order information, and much more.

What's the difference between an AI agent and a deep agent?

It all comes down to the complexity of the task at hand. A standard AI agent handles tasks with a defined set of tools and steps. A deep agent can reflect on its own outputs, self-correct, and work through much more complex, open-ended problems over longer periods of time.

What is an agent crew?

An agent crew is a group of AI agents working together, each with a specific role. One might research, another might write, and a third might review — all coordinated to complete a bigger task.

Do I need to know how to code to use AI agents in FlowHunt?

No. FlowHunt lets you build and configure AI agents visually, without writing any code. You connect components, set instructions, and deploy.

When should I use multiple agents instead of one?

When a task is too complex or broad for a single agent to handle well. Splitting work across specialized agents — each focused on it's own area, usually gives better, more reliable results.

AI Agents

Everything you need to know about building and orchestrating AI agents in FlowHunt.

Agents

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The Agents section of the knowledge base covers everything you need to know about agents in FlowHunt. You’ll learn what they are, what types of agents are available, how they work, and how to build and use them.

What Is an AI Agent?

An AI agent is a system that can take actions to reach a goal. Instead of just generating a response, it figures out what steps are needed, uses tools to carry them out, and keeps going until the job is done.

For example, take an AI customer service chatbot: A regular chatbot will do its best to answer your questions, but may reach its limits pretty fast. It will give vague answers based only on what it already knows and may get stuck in an endless loop. Give the same task to a customer service chatbot powered by an AI agent, and it will actually browse real-time data, look up your order, change the place of delivery, or if it can’t do that, it will decide it’s time to escalate to humans instead of getting stuck in a loop.

How AI Agents Work

At their core, AI agents follow a loop:

Receive a goal — a task or instruction from you
Plan — break the goal into steps
Act — use tools (search, APIs, code execution, etc.) to complete each step
Observe — check the result and decide what to do next
Repeat until the goal is reached

This loop is what makes agents fundamentally different from a one-shot prompt. They’re working through a problem instead of just predicting the next word. The agent will follow this loop until it either reaches it’s goal or realizes it is unable to do so.

Standard Agents vs. Deep Agents

Not all agents are the same. In FlowHunt, you’ll work with two main types:

Standard AI agents are great for well-defined tasks. You give them a goal, a set of tools, and clear instructions. They work through the task step by step and return a result. Fast, predictable, and easy to configure.

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Deep agents are built for more complex or longer tasks. They can reflect on their own outputs, recognize when something isn’t working, and try a different approach. They’re better at open-ended research, complex reasoning, and tasks where the path to the answer isn’t obvious upfront.

Simple rule of thumb: if you can describe the exact steps needed, a standard agent will do. If the task requires judgment and iteration, reach for a deep agent.

Working with Agent Crews

Some tasks are just too big — or too varied — for a single agent. That’s where crews come in.

An agent crew is a team of specialized agents working together. Each agent has a specific role and focus. One researches, one writes, one reviews. They hand off work to each other and collaborate toward a shared goal.

FlowHunt supports two crew types:

Sequential crews — agents work in a fixed order, one after another. Output from one becomes input for the next. Good when the workflow is predictable.
Self-managed crews — a manager agent coordinates the team dynamically, deciding who does what based on the task. Better for complex, open-ended work.

What Can You Build with Agents?

Agents in FlowHunt can handle a wide range of real-world tasks:

Research and summarization — gather information from multiple sources and distill it
Content creation — research, draft, and refine content end-to-end
Customer support — answer questions, look up data, escalate when needed
Data processing — pull, transform, and analyze data from external systems
Lead qualification — evaluate inbound leads and route them automatically
Monitoring and alerts — watch for changes and trigger actions

The common thread: tasks that used to require a human in the loop, working through multiple steps, can now run automatically.

Frequently asked questions

: An AI agent is a system that can take actions on its own to complete a goal. It does not just answer questions, but actually performs tasks like browsing the web, or calling APIs. It decides what steps to take based on the task you give it.
: A chatbot responds to messages. An AI agent acts. It can plan, use tools, and work through multi-step tasks. It's the difference between a reactive customer service bot that gets routinely stuck and escalates only when explicitly triggered, and a proactive AI customer support agent that decides when to escalate, can edit customer or order information, and much more.
: It all comes down to the complexity of the task at hand. A standard AI agent handles tasks with a defined set of tools and steps. A deep agent can reflect on its own outputs, self-correct, and work through much more complex, open-ended problems over longer periods of time.
: An agent crew is a group of AI agents working together, each with a specific role. One might research, another might write, and a third might review — all coordinated to complete a bigger task.
: No. FlowHunt lets you build and configure AI agents visually, without writing any code. You connect components, set instructions, and deploy.
: When a task is too complex or broad for a single agent to handle well. Splitting work across specialized agents — each focused on it's own area, usually gives better, more reliable results.