Calculate usage costs, answer pipeline questions, read trends. Every one is ready to run, and you can adjust it in plain language.
Report the software team's daily model usage and monthly AI costs.
Your stakeholders get month-to-date AI costs and a link to the daily usage chart when you mark a day's counts ready.
Summarize open software deals by stage for the sales lead.
Your sales lead gets a Monday view of open deal counts and values by stage, with the reporting period and any missing amounts clear.
Report weekly model usage and estimated AI costs for the software team.
Your stakeholders get a clear weekly view of AI token usage and estimated costs, with a daily chart and gaps called out.
Draft SQL that compares product usage across requested plans.
Get a pivot SQL query back in the chat thread, with totals explained and columns matched to your database schema.
Draft SQL to rank accounts by product usage.
Get a ranking SQL query in your chat thread, ready for review. See how the measure and ties determine each position.
Draft SQL counts of users or accounts from product data for team questions.
Get a SQL count query in the chat thread, with a clear note on what it counts and which conditions it uses.
Draft product usage SQL for the requested date range.
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.
Draft SQL for questions about product usage and customers.
Get a SQL query and a clear explanation in the same chat thread as your question, with results when you allow them.
Show where legal extraction models succeed or miss across test cases.
Your LLM performance benchmarks show scored legal extractions and a current model comparison as new cases become ready.
Show software deal value by stage and owner, with source deals linked.
Get a sales pipeline report for the slice you request. Open the matching deals to check the count or value.
Rank product ideas from customer interviews by impact and evidence.
See which product opportunities deserve attention, with scores tied to customer quotes and questions that could change the ranking.
Rank customer problems by likely reach and reported cost for product planning.
Get a Friday shortlist of customer problems ranked by reach, reported cost, and evidence. Open the interviews and see what to validate next.