Which AI Agents Are Available – and Which Fit Your Business?

The battle has truly begun. New developments in AI are moving so quickly that this article might already be partly outdated next week. But that’s exactly why it’s important to keep an overview now.

AI agents are popping up everywhere. Some promise full automation of your work. Others mainly ask follow-up questions. Some can be trained or connected to your systems. Others only work within their own environment.

But what does this mean for you?

What Is an AI Agent – and What Isn’t?

An AI agent is not a chatbot. It’s also not a workflow.

An AI agent is a digital colleague that can independently perform tasks based on input, context, logic, and sometimes memory.

This means:

• retrieving information

• creating or sending something

• controlling multiple tools

• responding to triggers

• in some cases: participating in team environments like Slack or Jira

An agent doesn’t think for you – but it does carry out work you would otherwise do manually.

Overview: Which AI Agents Are Available Now?

Here’s an overview of the most well-known and useful AI agents at the moment. For each platform, you’ll see what it does, what it can’t do (yet), and where it adds value.

Platform	Best Use	Strengths	Limitations
n8n AI Agents	intake, follow-up, data flows	open-source, powerful, API integrations	requires some technical knowledge
Zapier Agents	simple workflows, quick tests	fast to deploy, clear interface	still limited, no bulk actions
OpenAI GPT Agents	intake, customer contact, reporting	great output, usable via Make/n8n	must be triggered externally, no memory
DeepAgent	works in Slack, Jira	integrates into teams, takes over tasks	limited real-world experience
Manus	web search, API tasks	fully autonomous, fast	stability and privacy concerns
Sintra	digital assistants/coaches	ready-made for content/sales/CRM	mainly conversational, low actual autonomy
LangChain / CrewAI	custom-built agents	team logic, own memory and tools	advanced, requires development capacity

When Should You Use Which Agent?

Think about the role you want an agent to play in your business:

• For intake, follow-up, and proposal flows → GPT + Make or n8n

• For automated data processing → n8n agents or DeepAgent

• For content generation based on prompts or input → GPT agent, Manus or LangChain

• For guidance, reminders, or virtual coaching → Sintra (if you want less automation)

• For custom and scalable AI use → LangChain or CrewAI, with FlowBuildr or your own dev team

What You Should Know Before You Start

• Not every agent is autonomous. Some need to be triggered via Make, n8n, or Zapier.

• Agents are only reliable if you test them and limit their freedom.

• Privacy and stability vary greatly between providers.

• Not everything should be automated – focus on what you repeat often or tend to forget.

How FlowBuildr Helps You Build (and Test)

We already build agents for:

• intake + CRM creation

• review requests + follow-up

• content flows that generate blogs, videos, and posts

• sales agents that gather data and prepare proposals

We test all tools ourselves. If it works, we use it. If not, we skip it.

Want to find out if AI agents can support your business too?

Show us your process, and we’ll explore how an agent could fit in.

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