Calculate usage costs, answer pipeline questions, read trends. Every one is ready to run, and you can adjust it in plain language.
Your stakeholders get month-to-date AI costs and a link to the daily usage chart when you mark a day's counts ready.
Your sales lead gets a Monday view of open deal counts and values by stage, with the reporting period and any missing amounts clear.
Your stakeholders get a clear weekly view of AI token usage and estimated costs, with a daily chart and gaps called out.
Get a pivot SQL query back in the chat thread, with totals explained and columns matched to your database schema.
Get a ranking SQL query in your chat thread, ready for review. See how the measure and ties determine each position.
Get a SQL count query in the chat thread, with a clear note on what it counts and which conditions it uses.
Get a SQL query for a date or date range in your report chat, with the time field and boundaries explained in the same thread.
Get a SQL query and a clear explanation in the same chat thread as your question, with results when you allow them.
Your LLM performance benchmarks show scored legal extractions and a current model comparison as new cases become ready.
Get a sales pipeline report for the slice you request. Open the matching deals to check the count or value.
Get a social media report draft with dated post examples and supported figures. Review the gaps before sharing it.
See which product opportunities deserve attention, with scores tied to customer quotes and questions that could change the ranking.