How Unify cut its AI agent costs 95% in two weeks
Unify cut AI agent costs 95% by consolidating sub-agents into a smarter main agent
“We actually got a 90 or 95% cost optimization from 2 weeks before we launched to the day that we launched.”
Unify CTO Connor Hegy describes how consolidating a sprawling sub-agent architecture into a single smarter main agent cut costs by 95% before launch. He also highlights that achieving ~95% prompt cache hit rates is critical to agent economics, and that model providers have no incentive to solve caching for you. A secondary insight: LLM-as-judge systems should use a different model than the one being judged to avoid mode collapse and groupthink.