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Tersa AI Workflow Canvas
Visual drag-and-drop AI workflow canvas for building LLM pipelines without code
No-code visual canvas for composing LLM agent workflows. Users drag-and-drop nodes (prompt, LLM, tool, router, output), connect them visually, and run the pipeline. Built with React Flow for the graph editor. Targets non-technical users who need to build AI workflows for internal automation.
✓ Verified StackVercel: tersa-ai-workflow-canvas
TRY THE WORK
The system is deployed on edge nodes. Monitor container logs, memory allocations, and trigger virtual requests below:
edge-console://tersa.dev
LIVE PREVIEW
Resource Monitor
EDGE NODE CPU12%
RAM ALLOCATION18.4MB / 128MB
PLATFORM CLUSTERVercel
KEY METRICS & FACTS
React Flow canvas
Editor
Non-technical AI workflow builders
Target