Compose the building blocks of an AI agent into a flow, see the diagram, and export starter scaffolding for OpenAI, LangGraph, or CrewAI. Learn how agents are architected by building one.
Starter scaffolding to adapt, not runnable production code. It mirrors the flow above so you can see how the pattern maps to each framework.
Almost every “AI agent” is a small number of patterns wired together: a router picks a path, a planner breaks down the task, a generator drafts, reflection critiques and revises, a judge scores options, verification checks the result, and a human approves the risky steps. Build a flow here and watch how the same shape expresses itself as an OpenAI loop, a LangGraph graph, or a CrewAI crew.
The export is deterministic scaffolding, the same flow always produces the same code, with no model involved. It’s a starting point you fill in, not a finished agent. Everything runs in your browser.
It’s a scaffold: the structure, the steps, and the wiring, with TODOs where your prompts and tools go. Think of it as a labelled skeleton that saves you the boilerplate, not a working agent.
No. The builder and the code generation are pure and deterministic, so it’s instant, free, and private.
Read the AI Patterns Library, compare them in the Pattern Explorer, or see tool calling and agent memory.