The Silent AI Budget Crisis: Why Enterprise Generative AI Fails at the Inference Layer (And How to Fix It)
Understand the main drivers of LLM inference cost and how to measure model, prompt, caching, and retry changes against quality and latency.
Engineering blog
Systems anatomy, token economics, bounded agent harnesses, KV caching, model distillation, and deterministic boundaries for the agentic era.
The Silent AI Budget Crisis: Why Enterprise Generative AI Fails at the Inference Layer (And How to Fix It)
Understand the main drivers of LLM inference cost and how to measure model, prompt, caching, and retry changes against quality and latency.
Reduce LLM API Costs: Where the Tokens Actually Go & The Systems Anatomy of Inference FinOps
Measure LLM API cost drivers including token usage, retries, context growth, caching, latency, and quality in production.
Context Stuffing vs. RAG: Costs, Retrieval, and Evaluation
Compare long-context prompting with RAG using token cost, retrieval quality, latency, and task-specific evaluation.
