Demo

Agent Workflow Simulator

AI-Powered

Pick a business task and watch how multi-agent AI systems use different architectural patterns — Fan-Out, Router, Map-Reduce, Sequential Chain, and ReAct loops — to decompose and execute work.

Choose a Business Task

Or describe your own task:

What This Demonstrates

This simulator showcases five distinct multi-agent architecture patterns. Each preset uses a different approach to decompose and execute tasks:

›Fan-Out — parallel workers, merged result

›Router — classify, dispatch to specialist

›Map-Reduce — gather in parallel, aggregate

›Sequential Chain — ordered steps with gates

›ReAct Loop — reason-act-observe cycles

›Planner, Worker, Synthesizer pattern ›When to use multiple agents