Users relied on disjointed AI chats, causing copy-paste errors. Now, an embedded Claude agent assembles workflows natively node-by-node.
A workflow automation platform with over 170,000 GitHub stars, ranking in the top 50 open-source projects of all time, serving users from solo founders to Fortune 100 companies.
Users relied on a disjointed two-tab setup, copying suggested workflows from external chat models and pasting them into the platform, which...
“The AI Workflow Builder allows us to lower the bar to entry for users to start building with n8n, but also allows more technical users to iterate faster on their ideas.”
Workflow automation platform for technical teams to build AI agents and integrations.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
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Automation required manual logic mapping. Non-technical users now describe needs in plain text to deploy production-ready code.
Analysts relied on engineers for data tasks. Now, AI agents collapse 120-step workflows into single actions using plain text commands.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Automation required manual logic mapping. Non-technical users now describe needs in plain text to deploy production-ready code.
Complex coding excluded non-technical users. Claude now generates production-quality apps in 40+ native languages.
Scheduling 1,900 roles manually took days of back-and-forth. Conversational AI now books interviews instantly, syncing calendars.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
SLab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.