New to AI infrastructure? Start with a guided path. Already shipping? Jump into a deep dive. Everything here is written for builders who want to actually use AI to make life easier — not just read about it.
Pick where you are. Each path is an ordered sequence of guides, concepts, and hands-on references.
Zero jargon. Understand what it actually takes to run an AI model in the real world.
Go from a single prompt to an agent that plans, uses tools, and remembers — reliably.
The practitioner's toolbox for making LLM serving dramatically cheaper and faster.
The honest map of everything between a model that works on your laptop and one that serves real users reliably.
KV-cache reuse, speculative decoding, prompt compression, and continuous batching — with an open-source stack.
Train → evaluate → gate → canary → roll out, with zero downtime — using DVC, MLflow, ArgoCD, and friends.
Why structured memory beats raw vector search for reasoning agents — and how GraphRAG actually works.
A curated digest of what's moving in production AI. Filter by topic.
The fastest way to learn this stack is to ship it alongside an expert. Book a free session and bring your hardest problem.