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.
Answer questions about software deal counts and pipeline value.
Get a sales pipeline report in the same email thread, with the deal count or value and the filters behind it.
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.
Track API token costs by access key across product usage.
Your budget owners see what token usage costs and which access keys drive spend. A daily chart comes with the dated email.
Show software teams monthly AI model costs and token trends.
Get monthly AI token usage and cost reports to your stakeholders, with a daily chart and a sent copy you can revisit.
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.
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.