Articles
Anatomy of a Great Prompt: The 6 Building Blocks
Most bad prompts are just missing a part. The six building blocks of a great prompt — task, context, why, constraints, examples, format — as a checklist you can run every time.
What Is MCP and Why It Matters
MCP is USB-C for AI: one open standard that lets any model connect to any tool. What it is, how it works, and why Anthropic, OpenAI, Google, and Microsoft all adopted it within months.
How to Build Your First AI Agent
An AI agent is just a loop: reason, act, observe, repeat. Build one from scratch — the four ingredients, a worked example, tool design, and the guardrails you cannot skip.
Getting Reliable Structured Output from LLMs Every Time
Stop writing regex to clean up flaky JSON. The three levels of structured output — prompt-and-pray, JSON mode, and strict schema mode — plus the validation step everyone skips.
AI Agent vs Workflow vs Single Call: How to Choose
Most tasks people build agents for do not need one. The three tiers of AI systems explained — single call, workflow, and agent — with a four-question test for when an agent is actually worth it.
The Complete Guide to Prompt Engineering in 2026
What prompt engineering actually is in 2026 — the fundamentals that still work, the tricks that quietly stopped mattering, how reasoning models changed the rules, and the one framework to fall back on.
Why AI Agents Don't Ship Themselves: A Forward Deployed Engineer Playbook
FDE job postings jumped 729% in a year and vendors just committed ~$9B to deployment — because agentic AI stalls at production. Here's how forward deployed engineers get agents past the production wall in 2026.
What Is a Forward Deployed Engineer
I keep seeing the term forward deployed engineer everywhere on my feed, but how do you become one in 30 days?