Built Chat Data workflow automation platform on OpenClaw architecture
Chat Data: Production AI Workflow Platform Built on OpenClaw Architecture
Samuel Su, founder of Chat Data, built their entire AI workflow automation platform using OpenClaw as the core architecture. The system features 20+ node types, multi-model flexibility (GPT, Claude, Gemini per workflow step), and omnichannel deployment.
20+ Node Types, Multi-Model Flexibility, and Omnichannel Deployment
OpenClaw (as used by Chat Data) is a deterministic workflow standard:
- 20+ node types: Text, image, quick reply, dropdown, calendar, slider, star rating, location, API calls, conditionals, and more
- Multi-model per node: Choose GPT, Claude, or Gemini for each workflow step. Optimize cost and capability
- Three variable scopes: SYSTEM (platform data), SESSION (conversation state), VISITOR (cross-session persistence)
- AI-powered generation: Describe your process in natural language, get a complete workflow. Then customize in the visual builder
- Omnichannel: Deploy once to Website, WhatsApp, Slack, Discord, Messenger, Instagram, Telegram, LINE
- Enterprise governance: RBAC, audit trails, HMAC auth, workflow import/export
This isn't a chatbot. It's a workflow engine where every step is deterministic and auditable.
Production Platform Serving SMBs and Enterprises Across 8+ Channels
Production platform serving SMBs and enterprises with deterministic AI workflows. Deployed across 8+ messaging channels.
Built by Samuel Su, Founder and CEO of Chat Data
Samuel Su, Founder & CEO of Chat Data. "OpenClaw replaces 'hope it is correct' with defined paths."
Results: Production platform serving SMBs and enterprises with deterministic AI workflows
OpenClaw replaces hope it is correct with defined paths. Every workflow is a directed graph of specialized nodes, each handling one responsibility.