Hey Product Hunt 👋

AI workflows are powerful, but building them for real-world operations is still painful. You usually need to connect APIs, handle realtime events, write glue code, manage approvals, add guardrails, call tools, track state, and somehow make the whole thing reliable enough to run in production.

I built Arcflux to make that easier.

Arcflux is a visual AI workflow platform for building realtime, tool-using automation flows — from chat assistants to operational workflows triggered by APIs, webhooks, schedules, widgets, or IoT-style events.

With Arcflux, you can:

🧠 Build AI workflows visually with LLM, logic, tool, approval, and guardrail nodes
🔌 Connect external tools through MCP, HTTP requests, file search, and integrations
⚡ Trigger workflows from widgets, APIs, webhooks, schedules, and realtime events
🛡️ Add safety layers like approvals, guardrails, and controlled tool access
📦 Deploy versioned workflows that can run reliably in production
📊 Track usage, executions, and workflow activity across your workspace

The goal is simple: help teams move from “AI demo” to real operational automation — without stitching everything together manually every time.

Arcflux is still early, and I’d genuinely love feedback from builders, operators, and teams experimenting with AI workflows.

What’s the most painful part of turning an AI workflow into something production-ready? 🙏