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The Knowledge Playground is a dedicated workspace for turning business questions into reliable, reusable SQL and clear results. It provides a separate environment from your regular conversations, allowing you to generate drafts with AI, iterate on logic, and validate accuracy before saving a final query for consistent use. This feature helps you avoid messy iterations in chat threads, improves accuracy through testing, and speeds up the build-test-refine loop. This guide will walk you through the steps to start a question, iterate on your SQL, and save your finalized results.

How it works

The process follows three steps to move from a plain-language idea to a validated, repeatable answer.

Start with a Question

Pick the appropriate data area and describe what you want to answer in plain language. You can also add optional hints if you already know specific filters or fields that the AI should include in the draft.

Iterate on the SQL

Review the generated SQL and edit it manually as needed. Retry or update the code directly until the logic matches your intent.

Run, Validate, and Save

Run the query and inspect the results in the table and visualization views. Once you confirm the output is correct and tells the right story, click Mark as reviewed to keep the query for future reuse.

Key capabilities

Knowledge Playground allows you to perform the following actions:
  • Draft SQL: Create a starting point using plain-English questions.
  • Refine Logic: Manually edit and rerun SQL until the output matches your requirements.
  • Inspect Results: View data in table form and explore different visualizations to confirm accuracy.
  • Establish Reusability: Save finalized queries so they can be reused consistently across your organization.

FAQs

Yes. You can manually update the SQL and rerun it until the output is correct.
Run the query, inspect the output, and iterate until the results match your expectations. The goal is to validate the data before saving it for broader use.
Both. It is designed for quick experimentation and for turning those experiments into validated, production-ready queries.
You may need elevated permissions depending on your workspace settings. If you cannot click Run or Mark as reviewed, check with your organization administrator.

Next steps