The AI agent you train once — and it repeats the task on its own from then on.
By Thiago Lourenço Martins
score 3.9 out of 5
I'll be direct: Gumloop is good for people who already know exactly which task they want off their plate and have the patience to configure it properly. Its main trick — the agent rewriting its own instructions once you correct a mistake — genuinely works, and it's the kind of thing that stops you from re-explaining the same thing every week.
The catch is credits. The math looks simple until you run a data-enrichment task: enriching 333 contacts in one go is enough to wipe out an entire Pro plan's monthly credits, by itself. I wouldn't leave a heavy routine like that running without doing the math first.
Tested and checked against official sources on July 21, 2026.
Gumloop is an AI automation platform. Picture a workshop bench: instead of a hammer and screws, you have pieces that read email, write to a spreadsheet, send a Slack message — and you snap them together until it becomes a task that runs on its own. In practice, today Gumloop leans less on a fixed flowchart and more on the agent: you chat with it in plain text, explain what you need, and it decides on its own which tool to use to get the work done.
You can use both approaches, even together: an agent can call a ready-made workflow mid-conversation, whenever the task is always the same and needs no decision at all.
Pulling that report every Monday. Answering the same question in Slack for the fifth time this month. Copying data from one system to another by hand, knowing it's silly but nobody's had time to automate it yet.
That's the number of work tools Gumloop already knows how to use — Gmail, Slack, Google Sheets, Salesforce, Notion, and more. You connect only the two or three your routine actually uses, explain what you need once, and the agent starts doing it on its own — even adjusting how it works when you point out a mistake.
Every Monday you had to open three spreadsheets to put together the week's summary for your team. Now an agent reads the numbers on its own and has the summary ready in Slack before your first meeting of the day.
A support agent triages incoming tickets, opens the right one, and spots patterns in repeated complaints — without anyone on the team reading message by message.
Before calling a lead, the agent has already researched the company, summarized the conversation history, and updated the CRM on its own.
Click "Get Started". No credit card required.
It's the button that already shows up front and center on your account's Home screen.
Only connect the tools this agent will actually need.
start with 2 or 3, not your whole company at onceAsk it to do something from start to finish, and watch where it slips up, stalls, or asks something silly.
Write something like "update your instructions to always do it this way" — the agent rewrites its own internal prompt.
this is an actual product feature, called self-updating instructionsChoose between a scheduled trigger, an event from another app, or a one-time run.
the free plan only lets you keep 1 trigger activeEvery Monday morning, pull last week's numbers from our sales spreadsheet, put together a summary with up to 5 bullet points covering the highlights and the points that need attention, and send it to the right Slack channel. If any number drops more than 15% compared to the previous week, tag me directly in the message.
It runs the task once, you correct whatever didn't come out right, and ask it to remember the instruction. By next Monday, it just does it on its own, the way you agreed.
Pick that task you do every week without even thinking about it — pulling a number, answering a standard email, updating a spreadsheet. Create the free account, click Create Agent, connect only the tool that task uses, and describe the steps to it in plain, everyday language.
It worked if, the next time you ask for the same thing, it already remembers how you like it done — without you explaining it from scratch.
It's free to create an account and build unlimited agents and workflows, no card required — with 5,000 credits a month to spend. The catch is that how fast you burn those credits varies a lot by task, so "free" here isn't the same as "unlimited".
$0 — 5,000 credits/month, 1 seat, 1 active trigger, 2 concurrent runs, unlimited agents and workflows, forum support.
from $37/month — 20k+ credits/month, unlimited seats, 5 concurrent runs, unlimited teams, hosting for 1 MCP server.
custom pricing — role-based access control, SSO/SAML, admin dashboard, virtual private cloud (VPC), full audit logs.
Important detail: Gumloop bills in US dollars, and the Pro price goes up depending on how many credits you pick on the site — the $37/month is just the entry point, for 20,000 credits. Official prices as of July 2026 (subject to change).
If what you want is a simple, single-purpose automation, without having to think about credits per AI call, Zapier is still more straightforward: it charges per task executed, not per token consumed, and the learning curve is much shorter. See the Zapier walkthrough →
If your team has someone who codes and wants full control over every step of the flow, n8n tends to come up in comparisons as the more flexible option for tinkering with each node's code.
And if the problem is simply "I need a chatbot that answers questions on my site or WhatsApp", Chatbase solves that on its own, without all of Gumloop's connectors-and-credits machinery. See the Chatbase walkthrough →
Yes. The Free plan gives you 5,000 credits per month, unlimited agents and workflows, and no credit card required. The catch is that credit usage varies a lot by task — a simple question costs little, but an agent that calls several tools in a row burns through credits faster.
No. Signing up for the free plan doesn't ask for a card. It only comes into play if you decide to subscribe to the Pro plan, at $37 per month.
The website's interface is in English. But since you configure the agent by writing instructions and chatting in free text, you can do everything in Portuguese, Spanish, or any language you like — it understands and replies in your language without issues.
It's a 100% web-based tool, so it opens fine in a mobile browser. Chatting with an agent you've already set up works well; building a complex flow on the drag-and-drop canvas is more comfortable on a computer screen.
A workflow follows a fixed path that you draw node by node, always in the same order. An agent is conversational: you give it a goal and it decides on its own which tools to use and in what order, adapting to the situation.
According to the official site, the company doesn't use customer data to train AI models, keeps zero data retention agreements with third-party model providers, and is SOC 2 Type II certified and GDPR compliant.
No. According to the official documentation, credits don't roll over from one month to the next — the exception is Enterprise plans, which are negotiated separately.
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