> ## Documentation Index
> Fetch the complete documentation index at: https://docs.paradime.io/llms.txt
> Use this file to discover all available pages before exploring further.

# DinoAI

> DinoAI is Paradime's intelligent assistant that accelerates analytics engineering workflows through warehouse-aware AI capabilities.

DinoAI is Paradime's AI platform — a suite of agents and tools that help data teams move faster, write better code, and keep their pipelines healthy. Rather than a single feature, DinoAI is a set of surfaces you can use depending on where and how you work.

### DinoAI Surfaces

| Surface                 | What it does                                            | Best for                                                    |
| ----------------------- | ------------------------------------------------------- | ----------------------------------------------------------- |
| **Copilot**             | AI assistant inside the Paradime IDE                    | Interactive development, writing and reviewing dbt™ code    |
| **MCP Server**          | Expose Paradime context to any MCP-compatible AI client | Using DinoAI from external tools like Claude or Cursor      |
| **Slack Agent**         | AI agent that runs in the background and posts to Slack | Async monitoring, alerts, and team-wide visibility          |
| **Programmable Agents** | YAML-defined agents triggered via the Paradime API      | Automated, version-controlled, composable AI workflows      |
| **Bolt AutoPilot**      | AI agent embedded in Bolt pipeline runs                 | Summarising logs, fixing errors, and self-healing pipelines |

***

### Key Concepts

Before diving into a specific surface, it helps to understand a few concepts that apply across DinoAI.

#### .dinorules

`.dinorules` is a file you commit to your repo that defines rules and constraints for DinoAI agents. Use it to enforce coding standards, naming conventions, or any project-specific guidance that should apply across all agent interactions.

#### .dinoprompts

`.dinoprompts` lets you define reusable prompt templates, stored in your repo alongside your dbt™ project. Reference them in agent runs to keep prompts consistent and version-controlled.

#### Context

DinoAI agents are context-aware. Depending on the surface, they can read your dbt™ project files, query your data warehouse, access run logs, and more. Each surface page documents what context is available.

***

### Choosing the Right Surface

* **Working in the IDE?** → [Copilot](/products/dino-ai/copilot/index)
* **Using an external AI client?** → MCP Server
* **Want async updates in Slack?** → [Slack Agent](/products/dino-ai/slack-agent/index)
* **Building automated pipelines?** → [Programmable Agents](/products/dino-ai/programmable-agents/index)
* **Dealing with failing Bolt Pipelines?** → [Bolt Pipeline Agent](/products/dino-ai/bolt-pipeline-agent/index)


## Related topics

- [DinoAI](/products/dino-ai/index.md)
- [DinoAI Copilot](/products/code-ide/left-panel/copilot.md)
- [Fix with DinoAI](/products/dino-ai/bolt-pipeline-agent/fix-with-dinoai.md)
- [DinoAI Credits](/products/dino-ai/dinoai-credits.md)
- [DinoAI Agent](/guides/paradime-101/getting-started-with-the-paradime-ide/dinoai-accelerating-your-analytics-engineering-workflow/dinoai-agent/index.md)