AI
Practical articles on building AI systems in production — prompt engineering, agentic systems, RAG pipelines, evaluation, and the tradeoffs that matter when you ship to real users.
7 articles
Prompt Engineering is a Real Skill - Here's What Actually Makes a Good Prompt
The difference between a prompt that works in a demo and one that works in production is not magic. It's a learnable craft with clear principles.
Building Your First Agentic System - What Nobody Tells You Before You Start
The real challenges of building multi-step AI agents, from tool use to error handling to latency - and why most first attempts break exactly where the demos look flawless.
RAG vs Fine-Tuning - How to Actually Decide
A decision framework for when to use retrieval vs. when to actually train, from someone who has built both in production at enterprise scale.
The Cloud Bill Nobody Talks About - How AI Workloads Quietly Drain Your Budget
AI workloads have a fundamentally different cost profile than traditional software. Here is what you need to understand before your inference bill becomes the conversation in the board meeting.
AI for Startups
How early-stage founders can actually leverage AI to build faster, leaner, and smarter - without needing a research team or a $10M budget.
The Intersection of Data Engineering and AI
Why data engineering is the unsung backbone of every successful AI initiative and what it means for the next generation of builders.
Agentic AI: What It Actually Means and Why Most Implementations Miss the Point
The term "agentic AI" is everywhere right now. Here is what it actually means, where current implementations fall short, and what it takes to build agents that work reliably in production.