Getting an LLM to Follow the Rules: Reliable Structured Output
Why ‘just ask for JSON’ isn’t enough, and the real techniques — schemas, function calling, output parsers — for getting consistent, parseable output every time.
Ai-Engineering
Prompting Like a Pro (Not Like a Google Search)
The named prompt engineering patterns practitioners actually use — chain-of-thought, role prompting, and self-consistency — explained simply.
Stop Copy-Pasting Prompts: Building a Prompt Library That Scales
Moving from one-off prompts scattered in code to versioned, parameterized templates you can actually test, reuse, and maintain.