AI Workflow Builder
Visually build and orchestrate multi-agent AI workflows
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AI Workflow Builder - Visually build and orchestrate multi-agent AI workflows

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Stop writing spaghetti code for your AI agents. AI Workflow Builder is a self-hosted studio for designing production multi-agent systems. You describe what you want in plain language, and it interrogates you through an interactive “Grill-Me” loop — asking only about what is genuinely ambiguous: the goal, the inputs, the shape of the output, and how success is measured. Built for developers, automation engineers, and no-code enthusiasts who are tired of hand-wiring agent hand-offs.

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Hey Product Hunt! 👋 I’m a solo developer, and I built AI Workflow Builder because I kept hitting the same wall: every multi-agent AI system I shipped turned into a pile of hand-written glue code. Context passing, error handling, structured outputs between agents — it got unmanageable fast. So I built a tool that does the hard part for me: you describe your pipeline in plain language, it asks you only the questions that actually matter (goal, inputs, output shape, success criteria), and generates a validated workflow DAG plus runnable Python orchestration code. The honest details: It’s a self-hosted studio (Node.js + React, SQLite) — your specs and workflows stay on your machine The validator catches cycle / reachability / schema problems at design time, not in production Generated code ships with typed interfaces and retry + fallback handlers out of the box It’s $99 one-time, and there’s a free sample workflow on the site so you can see the schema and architecture before spending anything I’m here all day to answer questions about multi-agent orchestration, the spec format, or how it compares to n8n / LangGraph / hand-rolled pipelines. Feedback — especially brutal feedback — is very welcome.