Engineering
How We Cut Inference Costs by 60% with Prompt Caching
A deep dive into how prompt caching transformed our AI infrastructure costs and improved response times across our production pipeline.
Blog
Insights on AI engineering, strategy, and production systems
Strategy
The Case for Smaller Models in Production
Why we moved critical workloads from GPT-4 class models to fine-tuned smaller models — and how it improved both cost and reliability.
Engineering
Building Reliable AI Agents: Lessons from 6 Months in Production
Hard-won lessons from running autonomous AI agents in production — from error handling to graceful degradation.
Tutorials
RAG vs Fine-Tuning: A Practical Decision Framework
A practical guide to choosing between RAG and fine-tuning for your AI application, based on real-world trade-offs.
Strategy
The Hidden Cost of AI Technical Debt
AI systems accumulate technical debt faster than traditional software. Here's how to identify it, measure it, and pay it down.