Pipeline Insights

DinoAI's integration with Paradime Bolt provides detailed summaries and recommendations to help troubleshoot issues during dbt™ model deployments in production environments.

When a Bolt run completes, DinoAI automatically analyses the execution logs and generates a human-readable summary for each command. Instead of manually scanning through hundreds of log lines, you get a clear breakdown of what happened, what went wrong, and what to do next

What the Summary Includes

For each command executed in a Bolt run, DinoAI provides:

• Execution overview — a plain-language summary of what the command did

• Warnings and errors — surfaced and explained in context, not just raw stack traces

• Recommendations — actionable suggestions to improve reliability and performance

Example: DinoAI Summary

Turbo CI summaries on GitHub

DinoAI summaries also appear on pull requests. When a Turbo CI run fails, Paradime posts the DinoAI Summary as a comment on the pull request — so reviewers can see why CI failed without leaving GitHub.

The PR comment includes the schedule name and commit SHA, a plain-language explanation of the failure, the specific errors with affected models, and the command that failed. A link back to the full run in Paradime is included for deeper investigation.

No additional configuration is required — the DinoAI Summary is posted automatically whenever a Turbo CI run fails on a pull request. See the GitHub Turbo CI doc for details.

Troubleshooting Pipeline Runs

1. Open the Bolt UI and select a schedule

2. Scroll down to Run History and click on a specific run

3. Scroll down to Logs and Artifacts

4. Select a command that has an error or warning (e.g. dbt run)

5. Click the Summary tab to see the DinoAI-generated analysis

Tip: The Summary tab is most useful when a command has failed or produced warnings — that's when DinoAI's analysis saves the most time.

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Next Steps

Once you've reviewed the summary, you have two options:

• Fix it yourself — use the recommendations to make changes in the IDE

• Let DinoAI fix it — use Fix with DinoAI to trigger a one-click fix directly from the run

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Related

• Bolt Schedules — Setting up and managing your pipelines

• Fix with DinoAI — One-click fixes based on run errors

• Self-Healing — Automatically fix and re-run failed pipelines