NeuralOS has launched Flow Engine, a visual automation builder that combines the ease of drag-and-drop workflow tools like Zapier and Make.com with the intelligence of large language models.
Flow Engine allows users to create complex automation workflows by connecting nodes on a visual canvas. What sets it apart from existing automation tools is the AI Prompt node — a workflow step that can analyze data, make decisions, and generate content using GPT-4o, Claude 3.5, or Gemini 2.0.
"Traditional automation tools are great for simple A-to-B workflows," said David Kim, Staff Frontend Engineer at NeuralOS. "But real business processes require judgment. Should this customer complaint be escalated? Is this lead worth pursuing? Which email template performs best? These decisions require intelligence, not just rules."
The Flow Engine canvas supports up to 200+ nodes at 60fps thanks to a GPU-accelerated rendering architecture that uses CSS transforms and compositor-thread animations — a technical approach more commonly seen in design tools like Figma.
Early users report significant time savings. Maria Gonzalez, Operations Director at a mid-size e-commerce company, said she replaced a team of three part-time contractors with a single NeuralOS automation that handles order routing, inventory alerts, and customer communication.
Flow Engine is available on all NeuralOS plans, with AI Prompt nodes included in Pro ($79/mo) and Business ($199/mo) tiers. Free and Starter users can build workflows with standard trigger, condition, and action nodes.
This article originally appeared in VentureBeat. Content reproduced for informational purposes with attribution.