Cut LLM inference costs without hurting answer quality
Interview insights are lockedSee how often this is asked and which companies asked it with Buncho Pro.A customer-support assistant handles about 120,000 requests a day. Every request goes to the same large model, and the monthly bill is becoming a problem. The business wants the cost cut substantially, but thumbs-up rate must not fall by more than 2 points.
Use the Scenario data (a usage report and the request mix by intent) to find where the money goes, propose changes with estimated savings, and explain how you would protect quality and roll the changes out safely.
Scenario data
Logs and configuration from the incident. Use them as evidence in your answer.