Every time I open LinkedIn, all I see are marketers talking about how AI agents are about to replace entire marketing teams.
I can't help but roll my eyes.
No, we are still a long way from AI agents being able to do all of the work of a human being.
However, I'm optimistic. And out of all the AI tools I've tested, only one stands out right now: Gumloop.
I recently came across the tool from a friend who's an investor (and I know when this friend invests in something, it will be promising because he's the smartest person I know in tech).
So I reached out and had Max, the CEO of Gumloop, give me a demo of the platform. And then I actually went and created my own workflows with the tool.
And I have to say, I'm quite blown away.
This AI agent platform space is still very new (and confusing). So maybe you’ve already heard of Gumloop from someone and now you’re reading this to see what the platform is and does.
I’ve been using the tool for over a year now and have some interesting thoughts, and I thought I could write this up to help you fast-track your understanding of the platform.
So here's my honest Gumloop review. I'm not being paid to write this, I just know this article will be helpful for those looking to use the platform — be it for their marketing needs, development needs, sales needs, education needs, or really whatever.
I'm going to go over what the tool promises to do, what I honestly think of it (aka the pros and cons I've currently come across), and who I think it will be best suited for (and who it's not for).
Okay, let's get into it.
(If you want my TLDR, scroll to the bottom or click here.)
Who is Gumloop for?

When you land on the Gumloop website, you're greeted with a heading that says:
"AI agents built by your team."
The messaging has shifted since I first reviewed Gumloop. It used to say "Automate any workflow with AI. No coding required." Now the focus is squarely on AI agents, not just automation. And the subheading reinforces that: "Understanding a task should be the only prerequisite to automating it."
It is still a no-code platform at its core. Like many no-code tools (Webflow being my favorite — what this site is built with), the more you understand the underlying technical aspects, the easier it is to learn and master. But the positioning has matured from "automation tool" to "AI agent platform." And that shift matches what the product actually does now.
At its core, Gumloop empowers anyone to become an AI Engineer without knowing how to code.
So, who can get the most out of Gumloop? In my opinion, it’s:
- Growth and marketing teams: It can help you automate long workflows, scrape the web, integrate ChatGPT (or other LLMs) into automation workflows (think like Zapier), help you with lead scoring, and even SEO workflows (what attracted me to it).
- Freelancers and solopreneurs: You can literally create an AI agent for anything in your workflows. Be it help you find leads, help you deliver on your services, or automate any repetitive tasks you would have a VA do.
- Sales teams: You can build AI-assisted workflows like scraping the web to find contracts, do outreach, and integrate with a sales CRM to score your leads.
- Product and engineering teams: It can help you automate any internal operations, create prototypes that require AI to be integrated into a product, or even scrape web pages for document processing.
- HR teams: It can help you automate parts of the hiring process or even send employee satisfaction surveys with their templates (more on this later).
- Customer support teams: Use the platform to create workflows to help you with categorizing tickets or automating responses.
Because the platform is so broad, pretty much anyone in tech or online business can benefit in some shape or form. When I first wrote this review (a year ago), I would have said it was best for marketers, freelancers, or small business owners. But Gumloop has grown fast. Companies like Shopify, Ramp, Gusto, Instacart, and Opendoor are now using the platform. So it is clearly scaling well beyond small teams and into serious enterprise use cases too.
If you’re a customer of Zapier or Claude (like me), then you’ll most likely be a great candidate for using Gumloop as well. The main difference is that Gumloop takes an AI-first approach to automation. So it’s like if Zapier and ChatGPT had a baby — that’s how I would explain it in one sentence.
Gumloop's popular features
Gumloop has evolved a lot since I first reviewed it. The platform used to be all about building automation workflows. That still exists, but the product has expanded into something much bigger.
When you log in now, you are greeted with a chat interface that says "Hey [your name], how can I help?" It feels more like talking to an AI assistant than opening an automation tool.

You can type what you want to build, mention an agent with @, attach files, and connect apps to give your agent more abilities.
The platform can now be thought about in five parts:
- Agents: This is the big addition. You can build AI agents that run autonomously and handle multi-step tasks. These agents can integrate with tools like Slack, Microsoft Teams, and email. You can also chat with them directly from the Gumloop dashboard.
- Skills: Think of these as reusable capabilities you can give to your agents. Instead of rebuilding the same logic every time, you create a Skill once and attach it to any agent that needs it.
- Workflows: This is the drag-and-drop builder. You drag individual nodes onto a canvas (each one performs a specific task like web scraping, PDF reading, or AI data extraction), connect them together, and run the whole thing. You can also create Subflows, which is when you take one workflow and plug it into another. It is like having functions when you are programming.
- Apps: This is where you connect integrations, MCP servers, and custom apps created by your organization. It is the hub for giving your agents and workflows access to the tools they need, whether that is Google Analytics, Slack, a CRM, or something your team built internally.
- Teams: You can organize agents, workflows, and team members into groups. This is useful if you have different departments using Gumloop for different things.
For example, I created a workflow to help me create blog post outlines based on a keyword. The workflow asks ChatGPT to create an outline.
Then I created a Subflow that does a Google search of that keyword, scrapes the top-ranking article, and gives me the outline of that article.

I then put these two together. And now I’m able to input a keyword and the two Flows run together to give me an outline that is even better than the top-ranking article for that keyword! I actually wrote a guide on how to do this manually in one of my newsletter editions, and it got a lot of positive feedback. So to be able to automate this all with Gumloop is quite mindblowing.
The platform does take some time to figure out, but compared to other no-code tools, the learning curve is not as steep. It’s a very simple drag-and-drop building with a clean UI.
All you have to do is find the elements, aka nodes, you want and drag them onto your canvas:

Then, you connect your nodes together:

And then you run the Flow:

And just like Notion, where you can turn your pages into public websites, you can turn your Flows into public pages. So you can use your flows like an app. This way you can have your own little AI app to manage your own work, help other team members, or give them out to your community.
Gumloop also has tons of templates you can use that are essentially pre-built Flows.

As you can see, there are a lot of templates already. And I can only imagine the library will grow even more as more people use Gumloop and the community creates new templates.
If you want to learn more about how the platform works, Gumloop has a great YouTube channel you can check out:
Okay, so all of this is great and all. But what about the price? Running requests through different LLMs and APIs can’t be cheap. Let’s talk about costs in the next section.
Related reads: Gumloop vs n8n: An honest comparison
How much does Gumloop cost?
One of the first things I thought about the platform, well after I figured out what it does, was the price. No-code AI tools are generally not cheap because they are essentially a “middleman” between the thing you want to do and existing LLMs and APIs from different software tools.
Gumloop has a freemium SaaS pricing model. The plans work based on credits that you use to run your Flows and Agents. With their free plan, you get 5,000 credits per month. From there, you will need to upgrade to get more credits.
Gumloop’s pricing plans

Here are Gumloop's current pricing tiers:
- Free: Gives you 5,000 credits per month, 1 seat, 1 active trigger, 2 concurrent runs, and 5 concurrent agent interactions. Great for testing the platform.
- Pro: Starts at $37 per month for 20,000+ credits. This plan includes unlimited seats, unlimited teams, 5 concurrent runs, 25 concurrent agent interactions, and team usage analytics. You can also bring your own API keys.
- Enterprise: Custom pricing. Includes everything in Pro plus role-based access control, SCIM/SAML support, admin dashboard, audit logs, custom data retention, incognito mode, AI model access control, virtual private cloud, and workflow queuing.
If you want to compare all the features of each plan side-by-side, check out their pricing page.
Max (their CEO) gave me a 20% off coupon code when I met with him. So if you want to use the same promotion code when checking out, use code: MARKETERMILK
This will bring down the Pro plan from $37 per month to $29.60 per month!
Gumloop's customer support
Okay, you might be asking why I even included this section. I believe that every company that offers a product or service should have great customer service.
People want to know that when they invest in you, you are also going to be there to help them when they run into any problems or questions.
So let’s talk Gumloop customer support.
If you need to get in contact with Gumloop’s customer service, you can email them at founders@gumloop.com.
They’re also active on social media and YouTube so you can message them there as well.
There are also tons of support documents and a community forum that acts as a community helpdesk to ask questions or find answers to existing questions. There’s even a Slack channel for users so you can get quick answers from the Gumloop team.

You can also hire an automation expert through your admin dashboard. You will have to be logged in to access that feature.
As the company grows, I do suspect there will be even more forms of support as well. When I first wrote this review, Gumloop's stated goal was to build a 10-person billion-dollar company. That vision has evolved. In March 2026, they raised a $50 million Series B led by Benchmark (with participation from Shopify Ventures, Y Combinator, First Round Capital, and others), bringing their total funding to $70 million. Max has acknowledged that the surge in enterprise demand means they are now actively scaling up their sales and engineering teams. So the 10-person dream has shifted into something bigger.
My only worry with that great companies are built with great people. Of course, AI is going to progress and we will have so many parts of a regular tech job be automated. But people want companies to feel human. And when you use AI for all of your customer service efforts, it starts to dehumanize your company. The challenge is going to come on the customer service front when a company grows — I know this from my time working at Webflow and watching that company grow into a multi-billion dollar company.
Regardless, I’m rooting for that goal and want it to come true. But something to think about as the company scales.
Gumloop scalability (and security)
Large companies like Shopify, Ramp, Gusto, Instacart, and Opendoor currently use Gumloop. That should show the scalability and security of the platform. But like any growing startup, things are going to break here and there.
Right now, Gumloop can be a bit slow for super long and complex workflows. But for simpler Flows it’s extremely fast.
However, from day one, Gumloop has been enterprise-ready by default. The platform is SOC 2 Type 2 and GDPR compliant, it does not use your data for any training models, it’s SOTA encrypted, and there’s access control for different users and team members.
Gumloop has also launched a product called Gumstack, which is built specifically for enterprise security and observability. It gives security teams a single dashboard to monitor all AI agent activity across the organization. It includes SSO and SCIM support, role-based access control, per-tool authorization, tool call traceability, and MCP inventory auditing. If you are evaluating Gumloop for a larger team, Gumstack is worth looking into.
Overall, it’s a trustworthy platform. And if it wasn’t, I probably would have not spent most of my Wednesday writing up this review. If you want to learn more about their policies, you can check it out here.
Gumloop pros and cons
After using Gumloop for over a month, using the pre-built templates, and creating my own Flows from scratch, I have some opinions. I see both strengths and weaknesses in the platform. Let me go over them.
Gumloop pros
Here’s what I love about Gumloop:
- Amazing user experience: The Gumloop UI/UX is so good. It’s better than most no-code AI automation tools I’ve used. You can tell the team really understands how to build products that are delightful to use. I often judge products by the emotional response they create, and Gumloop just feels good to use.
- Easy drag-and-drop builder: Creating and automating different workflows feels so easy for those who are not tech-savvy. It really does feel like you’re doing backend coding by just dragging visually appealing blocks onto a canvas. It makes it easy to understand what you’re doing in the platform.
- Most of the integrations you need: Gumloop has custom integrations with almost any tool in your tech stack. I was amazed that I could even integrate my Google Analytics to create custom AI workflows based on my website traffic and conversion data. I do wish they had a Search Console integration though (maybe one day).
- Model-agnostic: Gumloop lets you choose which AI model powers each task. You can route different parts of a workflow to OpenAI, Anthropic, Google Gemini, or open-source models depending on what works best. This is a big deal because it means you are not locked into one provider, and you can optimize for cost or quality on a per-task basis.
- Chrome extension: There’s a Chrome extension you can use to help you record browser actions, scrape web data, and automate any web-based tasks.
- Secure: The fact that they don’t use your data to train anything is great. And they have to make it this way or else larger enterprises would not be open to using them. This gives smaller business owners and even service providers peace of mind knowing our client data will not be leaked anywhere.
- Templates: I love love love that Gumloop offers templates. It helps people get a better understanding of the use cases and what’s possible with the platform.
Overall, the pros definitely outweigh the cons. However, there are some things that bother me.
Gumloop cons
Here are a few things that I wish would be improved:
- Limited instant support: At the time of writing this, there is no live chat option for support on the website. You’ll either have to troubleshoot on your own through the forum or wait for someone to answer your questions via email or the Slack community.
- Editors note: I used to have a con for needing a smaller tiered plan because the paid plan used to start at $97 per month. Gumloop has listened and simplified their pricing over time. The paid plan (now called Pro) starts at $37 per month with unlimited seats, which is a big improvement from where they started.
Honestly, that’s it for the cons right now that I’ve personally experienced. I’ll keep an eye on anything and update this article accordingly (as I've continued to do).
TLDR: My final thoughts
If you made it this far, you probably have a good idea of who Gumloop is for, what it does, and how it works. But if you’re just skimming through and now you’re reading this part, here’s a summary of everything you need to know.
Is Gumloop worth it?
✅ Yes, if you’re looking for a tool to create and deploy AI agents and automated workflows, this is the best platform I’ve personally found and used so far. Think of the platform as if Zapier and Claude/ChatGPT had a baby. No, I was not paid to say that or even write this review.
What makes the platform unique?
The tool has an amazing user-friendly interface and is easy to use. You drag in nodes onto a canvas and connect them to create a Flow. You can also create Subflow’s which is essentially when you integrate an existing workflow into another workflow. It’s like having functions when you’re programming. I have yet to see another platform in this space be able to do this.
Give the platform a go and test it for yourself. The free plan will allow you to get a feel for it. If you decide to upgrade to a paid plan, use the promotion code MARKETERMILK at checkout to get 20% off your monthly subscription.
And if you find some cool use cases, email me about it (my email is in the footer). I’d love to see what you’re working on!
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