Gumloop feels like a second-rate version of n8n, but with a heavier focus on AI features. To be fair, it is not just an n8n clone. It also includes agent-like capabilities and an AI assistant designed to help build workflows.
However, while the idea is promising, the execution still needs a lot of improvement.
The AI Workflow Builder Is Not Smart Enough
Gumloop includes an AI assistant called Workflow Builder, which is supposed to help create workflows for you. In practice, it takes quite a bit of time to generate a workflow, and it rarely builds exactly what you want in one attempt.
Instead, the process usually involves a lot of back and forth. You prompt it, review the workflow, find something wrong, ask it to fix the issue, and repeat.
That does not feel very agentic.
If manual edits are still required for common workflow issues, the experience starts to feel less like working with an intelligent assistant and more like debugging a clunky automation tool.
The UI Is Difficult to Navigate
The user interface and flow lines are not great. Navigation feels confusing, and it is often hard to understand what is happening without asking the AI for help.
At times, it feels like the UI was not designed for humans.
Gumloop also tends to create branches in workflows. Visually, this can make the workflow look more complex or impressive, but most of the time, the actual logic is sequential. The extra branching often feels unnecessary.
Error Handling Could Be More Agentic
When something breaks, Gumloop shows a warning, which is helpful. However, it does not provide a simple one-click option to fix the issue with AI.
That feels like a missed opportunity.
If the platform is positioning itself as an AI-first workflow builder, it should be able to do more than just point out problems. Ideally, it should offer an AI-powered fix button that can automatically diagnose and repair common workflow errors.
I Wish the AI Model Were Configurable
Another limitation is that you cannot choose which model the Workflow Builder uses.
The current model feels slow and not very capable. If Gumloop allowed users to select a stronger or faster model, the experience could improve significantly.
For an AI-heavy product, model choice matters.
Integrations Are Limited Compared to n8n
Gumloop does not have nearly as many integrations as n8n. That is a major downside if you rely on specific apps or services.
That said, Gumloop can use AI to help write custom code, so you can technically build your own integrations. This is useful, but it is not as convenient as having native integrations available out of the box.
I especially wish Gumloop had more built-in integrations, such as Telegram.
Built-In AI Credits Are a Nice Touch
One thing Gumloop does better than n8n is that it includes some AI credits. This means you do not necessarily need to bring your own LLM API key right away.
That is a nice onboarding advantage, especially for users who want to experiment without setting up external AI providers.
Final Thoughts
Gumloop has an interesting concept: an automation platform with AI and agent-like workflow-building capabilities built in. However, the product still feels rough.
The UI is hard to navigate, the Workflow Builder is not smart enough to reliably create workflows in one shot, and the integration library is limited compared to n8n.
There is potential here, but right now, Gumloop feels more like an AI-enhanced automation experiment than a polished workflow platform.
Disclaimer: This post was somehow created with Gumloop. I kept updating it while prompting the Workflow Builder to fix the workflow.