Automated Agent Trajectory Evaluation
Building synthetic adversaries that grade and automatically improve agent execution paths. A hands-on framework for agent quality assurance.
From the Front Lines of Tech
Sharing strategic insights and lessons from over 20 years of building scalable systems, leading high-performing teams, and navigating complex technology shifts.
LLMs are Terrible Backends: Forcing Strict JSON Output
When you use LLMs as API endpoints, their probabilistic nature breaks downstream systems. Here is how to enforce strict JSON output through grammar-constrained generation and structured outputs.
The Kubernetes for AI Paradigm
Native K8s orchestration is evolving to handle GPU scheduling, checkpointing, and live migration at the scale that AI demands.
Benchmarking Edge Silicon: NPU vs GPU Inference
NPUs promise efficient edge LLM inference, but how do they actually compare to discrete GPUs under real production workloads?
· StrategyThe True Cost of Agentic Workflows
Hidden compute and API costs accumulate fast when deploying autonomous agent loops in production. A candid look at the real economics of agentic workloads.
Inference Cost Architecture: The Hidden Economics of Token Routing
Inference cost architecture: how smart model routing between frontier and distilled models creates real margin at scale. Unit economics, production examples, and the infrastructure decisions that determine profitability.