# Production Pipelines

Paradime's [Bolt](/app-help/documentation/bolt.md) is a comprehensive orchestration solution for deploying dbt™ models in production. Within Bolt, you can leverage DinoAI to quickly identify and resolve issues that may arise during your dbt™ production runs.

### Troubleshooting dbt™ Production Runs

When reviewing the [Run Logs](/app-help/documentation/bolt/managing-schedules/analyzing-run-details.md#run-logs) for a specific Bolt schedule, DinoAI provides a detailed summary of each command execution. This summary breaks down the overall execution, highlights any warnings or errors, and offers recommendations to improve the reliability and performance of your production pipelines.

<figure><img src="/files/9CqmZBQjdZvOdNlTIEEm" alt=""><figcaption><p>Example: DinoAI Summary</p></figcaption></figure>

#### How to use

1. From the Bolt UI, select a specific schedule
2. Scroll down to [Run History](/app-help/documentation/bolt/managing-schedules/viewing-run-log-history.md#run-history) where you'll find a list individual executions of your bolt schedule.
3. Click on a specific Bolt run to discover additional[ run details](/app-help/documentation/bolt/managing-schedules/analyzing-run-details.md).
4. Scroll down to [Logs and Artifacts](/app-help/documentation/bolt/managing-schedules/analyzing-run-details.md#logs-and-artifacts) for a detailed record of each command executed during a scheduled run.
5. Select an executed command (ex. `dbt run`) that has an error/warning.
6. Select the "Summary" tab to discover a DinoAI generated message about your command's execution, warnings, and potential fixes.

{% @arcade/embed url="<https://app.arcade.software/share/3vfnYgc3uEYepUvSn2H9>" flowId="3vfnYgc3uEYepUvSn2H9" %}

By surfacing these insights, DinoAI helps you quickly troubleshoot and address issues that may arise during your dbt™ production runs, ensuring reliable and efficient deployment of your data models.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.paradime.io/app-help/documentation/dino-ai/production-pipelines.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.