Kai Renner

Senior AI/ML engineering leader with a PhD in Computer Engineering. Builds agentic AI platforms that run in production.

Reducing AI Agent Inference Costs: Caching Strategies, Model Routing, and Token Optimization Techniques

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You’ve built your first AI agent. It works beautifully in development. Then you deploy it to production — and the invoice arrives. Welcome to one of the most important engineering challenges in modern AI development: keeping inference costs under control without sacrificing performance. Whether you’re running a customer support agent handling thousands of conversations daily … Read more

Implementing Multi-Turn Conversation Memory in AI Agents: Building Long-Context Awareness without Breaking Token Budgets

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Every skilled human conversation partner does something remarkable: they remember what was said five minutes ago, an hour ago, and sometimes years ago — and they know which memories actually matter right now. Building AI agents that can do the same is one of the most practical and rewarding challenges in agent engineering today. If … Read more