Every one is ready to run, and you can adjust it in plain language.
Build the daily API review table and flag missing fields.
Your morning extract arrives in a shared table, with missing values marked and a chat message pointing to records that need review.
Export requested data tabs as CSV files for other systems.
Your coworkers get the Google Sheets tab they asked for as a CSV attachment, or a reply explaining what needs fixing.
Update tracked spreadsheet fields and flag missing source values.
Your shared sheet stays current with daily JSON records. Your email shows new and changed row counts and links to entries needing attention.
Reconcile API records by ID and export a current analysis table.
Your shared spreadsheet stays current with the latest JSON feed. Get a matching CSV and a report of what changed.
Import valid spreadsheet rows for analysis and flag entry errors.
Your reporting table gets valid new spreadsheet rows every 15 minutes, with import counts and row-specific fixes waiting in the sheet.
Prepare API response rows for analysis and flag entries with missing fields.
Your Google Sheets table gains valid entries from new JSON responses, with rejected entries listed for review.
Email key figures and trends from each new chart image.
Get a short email with the main findings from new chart images in your shared report folder, plus visible changes and questions worth checking.
Email a requested spreadsheet tab as a CSV for analysis.
Get the requested spreadsheet tab into your colleague's inbox as a CSV file. Your request row shows what happened.
Load valid Excel rows into the database and report rejected rows.
Get valid Excel rows into PostgreSQL and a chat report showing how many went in and what needs fixing.
Match report questions to schema fields and draft pivot SQL.
Get a pivot SQL query back in the chat thread, with totals explained and columns matched to your database schema.
Turn chat requests for ranked lists into schema-checked SQL.
Get a ranking SQL query in your chat thread, ready for review. See how the measure and ties determine each position.
Turn team count questions into SQL with clear counting units.
Get a SQL count query in the chat thread, with a clear note on what it counts and which conditions it uses.