Build a Multi-Agent Data Pipeline in 50 Lines of Neam

In this tutorial, you'll build a working multi-agent data pipeline using Neam, an agentic AI programming language. By the end, you'll have a DIO orchestrating five agents through a churn prediction workflow. Step 1: Define Your Infrastructure Profile. This tells every agent where data lives and what compliance rules apply: infrastructure_profile MyInfra { data_warehouse: { platform: "postgres", connection: env("DB_URL") }, governance: { regulations: ["GDPR"] } } Step 2: Declare Your Agents. Each agent is a specialist. Note the budget constraints: budget B { cost: 50.00, tokens: 500000 } databa agent MyBA { provider: "openai", model: "gpt-4o", budget: B } datascientist agent MyDS { provider: "openai", model: "gpt-4o", budget: B } datatest agent MyDT { provider: "openai", model: "gpt-4o", budget: B } Step 3: Wire Up the DIO. The orchestrator coordinates everything: budget DioBudget { cost: 500.00, tokens: 2000000 } dio agent MyDIO { mode: "hybrid", task: "Predict customer churn, identify