Gumloop
Visual automation platform built around AI workflows: chain together LLM calls (GPT, Claude, Gemini), API requests, web scraping, and data transforms in a drag-and-drop builder. Pre-built templates for common AI use cases (content generation, data extraction, lead enrichment). Newer entrant (launched 2023), focuses on making AI workflows accessible to non-coders. Cloud-only, pricing per workflow run.
Official site ↗Why it ranks here
Best visual builder for chaining multiple AI calls in a workflow. Drag LLM nodes onto canvas, connect to APIs, add data transforms. For teams building AI-augmented workflows (generate personalized email, scrape data, enrich with AI, send), Gumloop is faster than stitching together Zapier and OpenAI API calls.
Where it sits
Ranked tenth because it solves a narrow problem (AI workflow orchestration) and is newer with fewer integrations. n8n and Make both support AI nodes; Gumloop UI is simpler but less capable. For teams building AI-first workflows (not general automation), Gumloop competes. For general automation, n8n or Make is more flexible. Situational because the market is still figuring out whether AI-first automation is a distinct category or a feature of existing tools.
How GTM Engineering teams use it
GTM engineers build AI-augmented workflows: scrape competitor pricing pages (browser action), extract pricing tables (Claude with vision), format as structured data (GPT with JSON mode), write to Google Sheet. Another pattern: new lead triggers workflow, call OpenAI to generate personalized cold email based on lead data and company context, send via SendGrid. Teams use Gumloop when workflows are AI-heavy (multiple LLM calls, vision tasks, summarization) and prefer visual builder to code. For simpler AI tasks (single GPT call), Zapier or n8n AI actions are enough.
In-depth notes
Pricing is per workflow run; free tier includes limited runs per month, paid plans scale with volume. AI nodes support GPT (OpenAI), Claude (Anthropic), Gemini (Google), and other models; you bring your own API keys or use Gumloop credits. Browser action nodes scrape web pages, take screenshots, fill forms (similar to Bardeen). Pre-built templates are hit-or-miss; some are useful (scrape and summarize), others are demos. Debugging shows node outputs, but logs are less detailed than Make. Integration library is small (dozens not hundreds); use HTTP node for custom APIs. For production workflows, reliability is unproven (tool is young). For prototyping AI workflows, Gumloop is fast; for production, n8n or Pipedream with AI SDK is more resilient.
Best for
Non-coders building AI-heavy workflows; prototyping multi-step AI automations
Avoid if
Need production reliability or broad integration library; workflows are not AI-centric
The rest of Workflow automation
n8n Leader Open-source workflow automation with AI nodes, self-hostable, developer-leaning. The builder favorite. #2 
Make Leader Visual automation with complex branching, routers, and error handling. Power user favorite. #3 
Zapier Leader Market-standard automation with 6,000+ app integrations. Easiest for non-technical users. #4 
Pipedream Strong Code-first automation with pre-built actions and generous free compute. Developer favorite for custom logic. #5 
Windmill Strong Open-source workflow engine with script-first design and visual UI. Self-hostable, Git-native. #6 
Relay.app Strong Human-in-the-loop workflows with AI steps. Simpler than Zapier, built for collaboration. #7 
Bardeen Situational Browser-based automation with AI copilot. Desktop app, local execution, built for repetitive web tasks. #8 
Activepieces Situational Open-source n8n alternative with self-hosting and visual builder. Growing connector library. #9 
Trigger.dev Situational Code-first background jobs for TypeScript. Modern DX, built for developers writing long-running tasks. #11 
Latenode Situational Low-code automation with JavaScript code steps. Visual builder + custom logic, affordable pricing. #12 
Lindy Niche AI agent automation with conversational triggers. Emerging, built for personal productivity and GTM tasks. Learning guide
Setup
Sign up for Gumloop, add your OpenAI or Anthropic API key (or use Gumloop credits), and drag your first LLM node onto the canvas to test a prompt.
First thing to build
Build a multi-step AI workflow: Browser action scrapes competitor pricing page, Claude Vision node extracts pricing table from screenshot, GPT node with JSON mode formats data as structured records, HTTP node writes to Google Sheet.
What actually matters
- LLM node (GPT, Claude, Gemini with your API keys)
- Browser action for web scraping or screenshots
- Data transform node to map and filter results
- HTTP node for custom API calls
Watch out
Reliability is unproven for production use (tool is young, launched 2023).