Gumloop
No-code platform to build and run AI automation workflows
Last reviewed 2026-06-18
Gumloop is a no-code AI automation platform where teams build workflows (called flows) on a visual, node-based canvas. You drag and connect triggers, logic steps, integrations, and AI actions, and each step runs in sequence based on rules you define. Nodes can call large language models (GPT, Claude, Gemini), scrape and structure web data, process documents in batches, and route outputs into CRMs, spreadsheets, and internal systems. It targets business teams (sales, marketing, ops, support) that want to automate work without developers. Gumloop is a build-and-run platform: humans design the flow and trigger it (by schedule, webhook, event, or bulk run), and the running flow then executes its steps, including LLM calls, against guardrails the builder set. The flows it runs are best characterized as supervised agents: humans author and trigger them and review consequential outputs, rather than the platform acting on its own initiative. It is a Y Combinator (W24) company.
What it can do
Build automation workflows on a visual canvas
CopilotUsers drag and connect triggers, logic, integrations, and AI actions into a flow on a node-based canvas; each step runs in sequence based on configured rules.
sourceRun flows on a trigger, including LLM steps
SupervisedFlows execute on a schedule, webhook, or event, or in bulk, running their steps (including GPT, Claude, or Gemini calls) automatically against the guardrails the builder defined.
sourceScrape, structure, and route data
SupervisedNodes scrape and structure web data, process documents in batches, and push outputs into CRMs, spreadsheets, and internal tools across 130+ integrations.
source
Strengths
- +Visual, node-based canvas makes complex multi-step automations buildable without code
- +First-class LLM steps (GPT, Claude, Gemini) plus 130+ integrations and batch processing
- +Flexible triggers: schedule, webhook, event, or bulk runs
Limitations
- −Credit-based pricing rises fast once you add batch processing, AI calls, and many steps
- −Autonomy is only what the builder designs; flows run rules, they do not reason about goals on their own
- −Power comes with a learning curve relative to simpler trigger-action tools
Overview
Gumloop is a no-code AI automation platform. Teams build workflows (flows) on a visual, node-based canvas, connecting triggers, logic, integrations, and AI actions. It is aimed at business teams (sales, marketing, ops, support) that want to automate work without developers. It is a Y Combinator (W24) company.
What it does
You drag and connect nodes into a flow; each step runs in sequence by the rules you define. Nodes can call large language models (GPT, Claude, Gemini), scrape and structure web data, process documents in batches, apply logic, and route outputs into CRMs, spreadsheets, and internal systems. Flows run on a schedule, webhook, or event, or in bulk. Because humans design and trigger the flows and review consequential outputs, the running flows are best characterized as supervised agents; the platform itself does not pursue goals on its own initiative.
Integrations & setup
More than 130 integrations (Google Sheets, Salesforce, HubSpot, Slack, Gmail, Notion, and more) plus access to top AI models. Flows can be triggered by schedule, webhook, or service-specific events, and run in bulk.
Pricing
Freemium and credit-based: a free tier with around 5,000 credits/month, a Pro plan from roughly $37/mo with a larger credit allotment, and custom Enterprise pricing. Costs rise with batch processing, AI calls, and step count.
Best for / not for
Best for business teams that want to build real multi-step, AI-infused automations without engineers. Less ideal for users who want a goal-seeking autonomous agent rather than designed workflows, or who need the simplest possible trigger-action tool.
Alternatives
n8n and Make are workflow-automation platforms; Zapier Agents adds agentic automation to Zapier; Relevance AI builds AI agents and teams.
What people are saying
Loved for
- +data
- +automation
Common gripes
- −product
- −feedback
- −automate
Recent mentions
“50+ AI tools. Most people pick random ones. Here's the full stack. Everyone's adding a new AI tool every week. Something goes viral. They sign up. Try it for a few days. Don't know where it fits. Move on. No structure. N”
“Big updates in Gumloop 10.0.0: add human in the loop approvals for your agents + evals! You can now specify exactly when your agents should require your approval before continuing (specify the tool, a specific tool call,”
“Be involved in your agents' work, at the right time. Human in the Loop is now live in Gumloop”
“I automated my SEO content strategy with Claude + Semrush MCP + Google Search Console. Here's what I learned: . ’ .”
“I just automated my best friend. Meet the Ryan Ip agent. I trained it on hundreds of Ryan’s old messages, so it talks exactly like him. It lives in our teams slack. Ping it for a project update, ask what’s coming up, or”
FAQ
How autonomous are Gumloop workflows?+
Humans design each flow and decide its triggers, then the flow runs its steps automatically (including LLM calls) against the guardrails the builder set. The running flows are best described as supervised agents: a person authors and triggers them and reviews consequential outputs. The platform does not set its own goals.
What can a Gumloop node do?+
Nodes call LLMs (GPT, Claude, Gemini), scrape and structure web data, process documents in batches, apply logic, and read or write to 130+ integrations such as CRMs, spreadsheets, and Slack.
Sources
- Gumloop (official site) · accessed 2026-06-18
- Gumloop Review: Features, Pros, Cons (Lindy) · accessed 2026-06-18
- Gumloop Review 2026 (AIAgentsList) · accessed 2026-06-18
Last reviewed 2026-06-18