# Suggested Questions to ask Trusty The following suggestions are categorized by role to help you get started. {% embed url="" %} #### Data Engineers Use Trusty AI to perform rapid impact analysis and check the operational status of your pipelines without writing SQL or traversing lineage graphs manually. * "Show me the upstream sources for the `fct_monthly_sales` table." * "Are there any active incidents or failed monitors for the Snowflake production warehouse?" * "List all downstream dashboards that will be affected if I modify the `user_id` column in the staging schema." * "Identify the owner of the `raw_transactions` table." * "Has data quality in `dim_products` changed between the last two profiles?" * "Which columns in `fact_orders` would you recommend adding monitors for, based on the latest profile?" #### Data Analysts Use Trusty AI to discover relevant datasets for your reports and understand the quality of the data before you begin your analysis. * "Find all datasets related to 'Customer Churn' in the marketing database." * "What is the null rate for the `email` column in the `leads` table?" * "What charts are available in the `Campaign Dashboard`?" * "Compare the row counts of `stg_orders` and `fct_orders` for the last 7 days." * "What's the typical value range and distribution for `order_amount` in the `fact_orders` table?" * "Is `customer_id` a reliable column to join on?" #### Data Governance Leads Use Trusty AI to audit your documentation, track PII, and ensure that your data catalog aligns with your business glossary. * "Which tables in the 'Sales' schema are missing descriptions?" * "Identify all assets that are currently linked to the 'GDPR' business glossary term." * "Show me a summary of data profiling results for the `orders` table to check for uniqueness constraints." * "List all columns in the `customers` table that have been identified as potentially containing sensitive information." * "Have null rates across the `dim_customers` table increased since the last profile run?" #### Tips for working with Trusty AI To receive the most accurate information from Trusty AI, follow these guidelines: * **Use Backticks for Asset Names**: When referencing a specific table, schema, or column, you enclose the name in backticks (e.g., `` `dim_users` ``) to help the model identify it as a technical asset that you're looking for. * **Be Context-Specific**: Instead of asking "Show me monitors," try "Show me monitors in the Snowflake `Reporting` schema created in the last 30 days." * **Leverage Follow-up Questions**: Trusty AI maintains session context. If you find a table, you can immediately ask a follow-up like "Now show me the profile statistics for that table." * **Verify Outputs:** Trusty AI is an assistant designed to accelerate your workflow. For critical production changes, always verify the lineage or monitor status via the All Monitors or Lineage tabs in the Decube UI. --- # 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.decube.io/trusty-ai/trusty-ai/suggested-questions-to-ask-trusty.md?ask= ``` 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.