Articles

A practical, docs-grounded guide to prompting GPT-5.x: role hierarchy, structured outputs, tool calling, and reasoning-model differences.

A practical, docs-grounded guide to prompting Claude Opus, Sonnet, and Haiku — XML tags, thinking, caching, and tool use.

Claude, GPT, Gemini, and open/challenger models each reward different prompting. A side-by-side comparison of setup, reasoning, tools, and caching.

Where agent cost and latency actually come from, the concrete levers to pull, and how to measure before you optimize the wrong thing.

How AI agents remember beyond the context window: working memory, long-term stores, episodic vs semantic memory, and the pitfalls.

How the model-decides, harness-executes, context-accumulates cycle actually works, where it breaks, and how to bound it in production.

Why agents need more than a chatbot's safety filter, and how to layer input validation, scoping, approval, and sandboxing.

A practical, accurate walkthrough of Agent Skills: the SKILL.md format, why the description is the trigger, and how to test one before you ship it.

A practical guide to building prompt test sets, choosing grading methods, gating CI, and catching regressions when you swap models.

Stop copy-pasting prompts. Learn how to template instructions, typed variable slots, and untrusted-data sections you can version, test, and secure.