A Practical Guide to Evaluating AI Applications
You shipped a RAG bot and it demoed perfectly. Two weeks later it confidently cites the wrong document. Here is how to build a real evaluation pipeline and move from gut feel to repeatable measurement.
AdTech 101: A High-Level Guide for Engineers
Digital advertising quietly runs on some of the most demanding real-time infrastructure in software. Here is how low-latency systems, data pipelines, and real-time bidding fit together.
AI and the Future of Development: Why Developers Must Adapt in 2026
The developer role is shifting from typing code by hand to problem framing, context design, and orchestrating multiple models. Here is what that change really demands.
The Cognition Stack: A Structured Workflow for AI-Native Building
Most people use AI in a way that feels productive but does not scale, because they push all their thinking into execution. The fix is to separate thinking from doing.
From AI Slop to Systems: The Six Levels of Automation
Same engineer, same hours in the day, dramatically different output. The difference was not effort — it was tooling. A look at the six stages of AI automation.
The Secret Life of AI: From Tokens to Context
Ever wondered how a model actually reads your words? A tour through tokenization, next-token prediction, vector embeddings, attention, and context engineering.
