Automation required manual logic mapping. Non-technical users now describe needs in plain text to deploy production-ready code.
An applied AI lab turned software platform developing automation tools for non-technical professionals in operations, marketing, and small businesses.
Traditional automation platforms force users to think like programmers, requiring them to manually map out logic flows and error handling. This...
“Automation still requires a technical mindset and has a high barrier to entry even with visual no-code builders.”
Chat-based AI platform for building and deploying backend workflow automations.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Automated coding often hit a reliability wall. Now, non-coders build production-ready apps 20x faster via conversation.
Ambiguity slowed development cycles. Agents now reason through code reviews and refactors, saving 2,300 hours per client.
Manual handoffs between tools slowed teams. Agents now observe, decide, and act across 200+ apps to resolve complex workflows.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Lab 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.