Agents help AI Engineering teams turn ideas into usable AI tools.
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 AI code patches for defects and note missing tests.
Get a second opinion on your code patch, with actionable findings in the shared review document before your team merges the change.
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.