Member-only story
You’ve built an AI agent that works perfectly in development. Deploy it to production with 30 different SaaS integrations and suddenly your costs are 10x higher and latency is unbearable. Here’s why, and what Semantic Routing fixes. #
There’s a moment every team building production AI agents hits at exactly the same place.
Your agent works great locally. You have Claude orchestrating tasks, calling tools, reasoning through problems. Perfect performance. Then you deploy to production where it needs to work with Salesforce, Jira, Workday, Slack, GitHub, and 25 other SaaS systems your customer uses.
Suddenly everything breaks.
Your agent’s first-token latency goes from 200ms to 4–6 seconds. You’re spending $15,000 a month on API calls that should cost $1,500. Half the time the agent picks the wrong API endpoint because it hallucinated which one to call. The other half it’s calling endpoints that don’t exist.
Gartner predicts that over 40% of agentic AI projects will be cancelled by the end of 2027 due to escalating costs…