- AI-Agent
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Draft Staged SQL
Draft a CTE or SQL subquery for analysis tickets
Use this Agent instantly or customize it - no programming needed
- Ticket status changeTicket status change
Your ticket's status change starts a run when it enters Ready for SQL.
- Ticket keyTicket key
The ticket key identifies the request you want the Agent to read.
- Analysis questionAnalysis question
Your ticket states the result you need, including filters and output columns.
- Database schemaDatabase schema
Your ticket supplies the tables, columns, and join keys needed to draft SQL.
- SQL dialectSQL dialect
Your chosen dialect determines how the draft expresses the query.
monday.com supplies ready analysis tickets and holds their SQL drafts in comments.
- Clarification commentClarification comment
Your ticket gets a specific question or schema conflict when the Agent cannot draft reliably.
- Clarification commentClarification comment
Your ticket gets a specific question or schema conflict when the Agent cannot draft reliably.
- Clarification commentClarification comment
Your ticket gets a specific question or schema conflict when the Agent cannot draft reliably.
- SQL draft and stage explanationsSQL draft and stage explanations
Your ticket gets staged SQL with brief notes about each stage for review before you run it.
This Agent waits for a ticket to reach your chosen Ready for SQL status. It reads the question and pasted schema. It comments with a CTE or subquery draft and stage explanations.
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monday.comUsed as:
- Analysis ticket tool
monday.com supplies ready analysis tickets and holds their SQL drafts in comments.
Made for your industry
Draft Staged SQL is made for businesses in these industries.
- Retail
Draft SQL for sales and inventory questions that need staged results.
Show all Agents for the Retail industry - Software
Draft staged SQL for product usage questions on analysis tickets.
Show all Agents for the Software industry - Financial Services
Draft SQL for account and transaction questions needing an intermediate subset.
Show all Agents for the Financial Services industry - Healthcare
Draft staged SQL for care and operations questions from supplied schemas.
Show all Agents for the Healthcare industry - Insurance
Draft SQL for policy and claims analyses that need intermediate rows.
Show all Agents for the Insurance industry - Market Research
Draft staged SQL for study questions built from selected records.
Show all Agents for the Market Research industry - Telecommunications
Draft SQL for subscriber and service usage questions on analysis tickets.
Show all Agents for the Telecommunications industry
Made for your role
Draft Staged SQL is made for people in these roles.
- Data Analyst
Draft staged SQL from analysis tickets for review before running.
Show all Agents for the Data Analyst role - Reporting Analyst
Draft SQL for report questions that need an intermediate subset.
Show all Agents for the Reporting Analyst role
Made for your department
Draft Staged SQL is made for people in these departments.
- Data Analytics
Turn analysis requests into reviewable staged SQL on their tickets.
Show all Agents for the Data Analytics department - Business Intelligence
Draft SQL stages behind requested reports and metrics.
Show all Agents for the Business Intelligence department
How Draft Staged SQL works
4 steps, in order, on every run.
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Read the analysis ticketRead the ticket's question and pasted schema when it reaches Ready for SQL. Identify the requested result and any missing details.
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Draft staged SQLChoose the intermediate subset and write a CTE or subquery in your chosen SQL dialect. Match joins, filters, and grouping to the supplied schema.
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Explain the query stagesCheck table and column names against the pasted schema. Explain how the intermediate rows lead to the final result.
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Comment on the ticketAdd the query and stage explanations to the ticket. Ask a specific question instead when a key detail or relationship is unclear.
How to Get Started
Connect monday.com, the tool this Agent works with.
1 tool
- Choose the analysis project and a Ready for SQL status that requesters use to submit tickets for drafting.
- Require each ticket description to contain the data question, the relevant tables and columns, and the keys that connect them; include any required filters and expected output columns.
- Set the SQL dialect for the connected warehouse or database and give the Agent permission to read tickets and add comments.
Use safe mode to approve every result before it goes out, or let the Agent run automatically.
FAQs
Frequently asked questions about the Draft Staged SQL:
Include the question, relevant tables and columns, join keys, required filters, and expected output. You also choose the SQL dialect and Ready for SQL status during setup.
You get a comment naming the missing key. Supply it in the ticket before asking for a draft.
No. You review and run the draft yourself. The Agent checks names against your pasted schema and does not access live data.
It stops and asks you. The Agent does not guess when it reaches a decision you have not approved.
Yes. Every run creates a plain-language log that you can review and export. Logs are kept for twelve months.
The Agent stops at the end of the billing month and its tool connections are removed. Your run logs remain available for twelve months.