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Getting Started

New here? Start with Get a Workspace, then come back for the five steps.

Five steps. Then your team is building.

This quickstart takes you from raw data to a shared source of truth that any AI - Azi, the agent you bring, or a local model - can read and build on. You will wire data in by hand, get it flowing with Azi, crystallize a query, read it back from any AI, and then let any AI build the next one. Under ten minutes, no sales call.

It is one workshop, driven three ways - your hands, Azi, and any AI over MCP - and you hold the proposals. The shape of the work: Compose (wire it up) -> Propose (Azi or your agent drafts) -> Review (you accept) -> Ship (it goes live as an API and an MCP tool).

Step 1: Connect Data

Drag a connection and a surface onto the canvas and wire them. See how data flows onto a surface - your execution boundary.

Step 2: Get Data Flowing

Ask Azi to propose a simulator, wire it up, accept the proposal, and deploy. Your first taste of working with AI through proposals.

Step 3: Build a Warm Query

Inside the surface, crystallize a warm query with Azi - a shared source of truth that becomes an API and an MCP tool.

Step 4: Read from Any AI

Install the workshop into your agents with fai, and read the same source of truth from more than one AI.

Step 5: Build the Next

Now any AI you bring proposes new work - you accept it in the portal, and the workshop compounds.

After the quickstart

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