Concepts overview
Before diving into features, it helps to understand the handful of objects that everything in Zingle AI is built on. They map closely to how dbt teams already think about their work.
| Concept | What it is |
|---|---|
| Organization | The tenancy root. Every user, repo, and connection belongs to exactly one org. |
| User & role | People in an org. Roles gate what they can do (admin vs analyst). |
| Repository | A registered dbt GitHub repo Zingle AI can read and open PRs against. |
| Environment | A named binding of a repository to a warehouse compute target. |
| Connection & target | A warehouse (Snowflake) connection and the compute targets within it. |
| dbt model & semantic layer | The synced catalog of models, columns, lineage, and semantic definitions. |
| Agent | An LLM-driven worker (Build, SQL, Refactor, Optimize, or custom) with a prompt, tools, and skills. |
Each concept has its own page in this section. Start with Organizations & roles.