Every one is ready to run, and you can adjust it in plain language.
Track model token usage and its approved-rate cost by day.
Your stakeholders get month-to-date AI costs and a link to the daily usage chart when you mark a day's counts ready.
Run approved prompt batches and show which responses failed.
Your prompt batch comes back in the shared sheet, with answers beside prompts and failed rows marked for follow-up.
Track the team's weekly model usage and estimated costs.
Your stakeholders get a clear weekly view of AI token usage and estimated costs, with a daily chart and gaps called out.
Chart daily token use and pinpoint costly access keys.
Your budget owners see what token usage costs and which access keys drive spend. A daily chart comes with the dated email.
Benchmark approved models on the same legal extraction cases.
Your LLM performance benchmarks show scored legal extractions and a current model comparison as new cases become ready.
Check prompt flow runs against prepared inputs and expose failures.
Get a results table that pairs prompt test inputs with answers, flags failures, and shows which flow run produced them.