Native Vs Ai Generated Nodes Gumloop

Bonisiwe Shabane

-Dec 28, 2025, 5:56 PM

Gumloop has two types of nodes: Native nodes for common actions (like sending a Slack message) and MCP nodes that you create by describing what you need. Native nodes are faster to set up. MCP nodes give you unlimited flexibility. Have you ever wished you could automate repetitive tasks, generate content effortlessly, or streamline complex workflows without writing a single line of code? If so, let me introduce you to Gumloop, a game-changing no-code platform that empowers anyone, yes, even non-techies like me, to build powerful AI agents. In this post, I’ll walk you through what Gumloop is, why it’s a must-have tool for automating your work, and how you can start creating AI agents to boost your productivity today.

Gumloop is a no-code AI automation platform that lets you design and deploy custom AI-powered workflows, or “flows,” using a simple drag-and-drop interface. Founded in 2023 by Max Brodeur-Urbas and Rahul Behal, and backed by Y Combinator, Gumloop (formerly AgentHub) has quickly become a go-to tool for businesses, freelancers, and creators looking to harness AI without needing... You can now build and deploy your own Gumloop nodes with AI. You'll never have to wait for us to build the tool for you again. You can simply prompt your way to a usable tool for your whole team. People have been wanting to push the boundaries of what Gumloop can do.

Flows are getting more niche and complex. Sometimes our existing set of nodes doesn't cut it. Users might want to interface with some internal endpoint, perform more intricate data cleaning steps on it, build new integrations etc. To perform these tasks on Gumloop previously, they had to string together a handful of data modification nodes or start using our more technical features that let them write/run code or call APIs. The only better solution would be for us to deploy a custom node for them. Now, the power is in the hands of the user.

You can build these missing tools for yourself with the help of AI and deploy them with a single click. Going from an idea, to a useful deployed node for your team to use on Gumloop now only takes a few seconds. A few weeks ago, I attended a Gumloop workshop, built a tiny agent, and felt that click when a boring task becomes simple. We wired five blocks, searched, scraped, extracted, filtered, and emailed, and it started sending clean competitor updates on its own. I remember how we used to do this. Python scripts, cron, brittle scrapers, and one engineering teammate who knew the whole thing.

Today, you can drag nodes in Make, n8n, or Gumloop, hit run, and ship in an hour. Why do these visual builders matter now? Speed for small teams: You can ship a working monitor in a single sitting, no tickets or waiting on a dev sprint. Clear handoffs: Nodes read like a checklist, so marketing, product, and data teams can jump in and edit without fear. Gumloop has two types of nodes: Native nodes for common actions (like sending a Slack message) and MCP nodes that you create by describing what you need. Native nodes are faster to set up.

MCP nodes give you unlimited flexibility. As you build more flows in Gumloop, you'll notice something: for every integration—whether it's Slack, Google Sheets, Airtable, or anything else—there are actually two ways to work with that tool. You've got native nodes (the pre-built ones) and MCP nodes (the AI-generated ones). Understanding when to use each will unlock a whole new level of automation power. Let's break it down. Native nodes are the ones we've built for you—covering the most common things people want to automate in any given tool.

Having reviewed the major players like Zapier, Make, and n8n, I thought I'd seen everything in the workflow automation space. But then the AI revolution came, along with platforms like Gumloop that promised a new age of automation driven by AI-native tools. If you've been on X or LinkedIn lately, you've seen the engagement farming around AI agents. Lead magnets about "bots running entire companies" are everywhere, with one founder even claiming that all his company’s employees disappeared for a week while AI agents handled everything (sales, support, operations) with zero impact... Compelling, but does it deliver? Gumloop positions itself at the forefront of this AI-first wave, but after testing countless SaaS tools, I've learned to approach bold promises with skepticism.

The real question isn't just whether Gumloop works, but whether there's a meaningful difference between traditional workflow solutions and these platforms designed for AI. Today, we're going to find out. I thoroughly tested Gumloop and took a deep dive into what it does, what it doesn’t do, and where it delivers. Let’s take a look! Gumloop is an AI-native automation platform purpose-built for go-to-market (GTM) teams, revenue operations, and business development. It positions itself as a no-code solution for building AI-powered automations.

We get asked all the time how Gumloop differs from old-school automation platforms like Make or Zapier. We thought we'd write a detailed breakdown of everything we do differently to help you make the most informed choice possible. Gumloop is an AI-native automation platform. 'Integrating AI' wasn't an afterthought, it was the main motivation behind building the product in the first place. Letting anyone automate complex work with AI is a primary goal of ours. We have a growing set of AI nodes that perform nuanced tasks like categorization, scoring, data extraction, image analysis and more.

These nodes also allow you to swap out the models being used so that you can pick the best one for the job. For example, I'll often use Claude 3.5 sonnet or GPT4o for creative writing or analysis steps and swap to GPT4o-mini for high volume categorization work. Changing the model takes a single click, no API keys needed.

Native Vs Ai Generated Nodes Gumloop

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