Gumloop vs Make: Which to Pick

I have built the same automation in both Gumloop and Make, and they are more alike than the marketing on either side admits. Both let you automate work without code. Both now have AI agents. So choosing between them is not about which one “has AI.” It is about how each one is built and what you actually need. Here is the plain-English version.

What is Gumloop, in one line?

Gumloop is AI-native automation. It was built around AI agents from the start, so the normal way to work is to describe a job in plain English and let an agent (or a visual workflow it builds) carry it out. Its standout features lean hard into AI: agents that spawn other agents, agents with their own email inbox, and live shareable dashboards.

What is Make, in one line?

Make is a mature visual automation platform. You build on a canvas by connecting app modules into a scenario, step by step. It has been around for years, connects to a huge range of apps, and has more recently added AI Agents on top of that foundation.

Do they not both have AI now?

Yes, and this is the part most comparisons get wrong. Make has AI Agents (goal-driven automations powered by a language model) and AI steps you can drop into any scenario. Gumloop has all of that as its core. So “Gumloop has AI and Make does not” is simply false. The difference is emphasis: in Gumloop the AI is the main event; in Make the AI is a powerful addition to a proven app-connecting engine.

Where do Gumloop and Make actually differ?

Here is how I would lay it out side by side:

	Gumloop	Make
Design center	AI-native, agent-first	Visual app integrator, AI added on
Build style	Describe it, the AI builds it	Connect modules on a canvas
App connectors	100+ native, plus MCP and browser automation	2,000+ native app integrations
Standout features	Subagents, agent email inboxes, live artifacts	Huge app library, mature scheduling and error handling
Pricing model	Credit-based	Operations-based
Best for	Letting AI do the judgment	Connecting many apps reliably

Which one connects to more apps?

Make, clearly, if raw count is what matters: it has well over 2,000 native app integrations to Gumloop’s 100-plus. That said, do not write Gumloop off here. Its 100-plus native connectors cover the tools most people use daily (Gmail, Slack, Google Sheets, Notion, Salesforce, HubSpot), each app exposing several specific tools, and it fills the gaps with MCP and browser automation. For a typical beginner or small team, both will connect to what you need; if you have an unusual or long tail of apps, Make’s breadth wins.

What does each cost?

Different meters, so compare carefully. Make charges by operations (each step a scenario runs), with a free tier of around 1,000 operations a month and paid plans from there. Gumloop charges by credits, with a free monthly allowance and paid plans for heavier use; AI steps spend more credits than simple ones. Both are usable for free while you learn. Because both change their numbers, check each one’s current pricing page before you commit, and run your real workload on the free tier first.

Which should you pick?

Match it to what you are doing:

• Pick Gumloop if the job is mostly thinking (reading, summarizing, researching, deciding) and you want to describe it rather than wire it. Its agent features are the most beginner-friendly way to let AI do the heavy lifting.
• Pick Make if the job is mostly plumbing across many apps, you want predictable step-by-step control, or you need a connector for a less common tool. Our AI Automation hub walks through building real automations in Make.
• Better yet, try both. Both have free tiers. Build your one most-annoying task in each and keep whichever felt easier. That hour will teach you more than any comparison, including this one.

Can you use both?

Yes, and plenty of people do. They are not mutually exclusive. You might use Make for the heavy app-to-app plumbing and Gumloop for the AI-heavy steps, or just use whichever fits each project. Learning one makes the other easier, because the core idea (a trigger, some steps, a result) is the same in both. If you want to see how the wider field stacks up, our AI Tools Directory covers the rest.

Common questions

Is Gumloop or Make easier for a complete beginner?

Gumloop’s describe-and-build feels easier for AI-heavy tasks. Make can feel more approachable for simple app-to-app jobs because every step is visible. Both have a gentle learning curve.

Does Make have AI agents like Gumloop?

Yes. Make added AI Agents and AI steps. Gumloop simply makes agents its core rather than an add-on.

Which is cheaper?

It depends on your workload. Make’s operations model can be cheaper for high-volume app plumbing; Gumloop can be fine for lighter, AI-focused use. Test on the free tiers.

Can you use Claude models inside Gumloop?

Yes, Claude 4.8 Opus is its “Smartest” model option. Make can also call Claude in its AI steps.

Do I have to choose just one?

No. Many people use both, picking the right tool per task.

Sources

• Gumloop official site
• Make Help Center
• Make AI Agents
• Workflow automation — Grokipedia

Last reviewed: June 2026. Both tools change quickly, especially pricing and AI features; check the official pages above before you decide.

You may also like

• AI Automation for Beginners (the Make hub)
• How to use Claude AI
• The AI Tools Directory
• Start Here: the beginner path
• The AI Glossary
• The daily Beginners in AI newsletter