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Visitran AI: Quick Start Guide

Visitran AI brings the power of agentic data transformations to your fingertips. Instead of manually building models step by step, you describe what you want in plain English and Visitran's AI agents handle the rest — generating models, writing SQL, and materializing results directly to your data warehouse.

Two Ways to Work with Visitran AI​

Visitran AI offers two distinct modes, each designed for a different part of your data workflow:

Transform​

Describe the transformation you want to build and Visitran AI will generate a complete data model — with joins, aggregations, filters, and more. The generated model appears in your workspace, ready to run.

"Create a customer segmentation model that groups customers by their total lifetime spend" "Build a staging model that joins orders with payments and calculates order totals"

SQL​

Need a quick query? Describe what you're looking for and Visitran AI writes the SQL, which you can execute directly and see results in a table view.

"Write a query to find the top 10 customers by order count" "Show me all orders from the last 30 days with their payment status"

Built on the No-Code Foundation​

What makes Visitran AI unique is that it isn't a bolt-on chatbot. Every transformation the AI generates flows through Visitran's no-code engine — the same engine you'd use if you were building models manually. This means:

  1. Full visibility — You can always inspect the generated model configuration, see exactly what joins, filters, and columns were created
  2. Full control — After the AI generates a model, you can fine-tune it using the no-code UI or formula columns
  3. Pure SQL under the hood — Every AI-generated model compiles to clean, readable SQL that you can view and verify

What You'll Learn​

In this quick start guide, we'll walk through:

  1. Loading a sample project — Get the Jaffle Shop dataset ready for AI-powered exploration
  2. The AI chat interface — Understand the layout, onboarding guide, and input controls
  3. Building a transformation — Let the AI generate a complete data model
  4. Running SQL queries — Write and execute queries using natural language
  5. Advanced features — Context rules, conversation management, and tips for effective prompts

Let's get started!