Most developers pick a prompting strategy the same way they pick a JavaScript framework — by following whoever was loudest…
Browsing: Prompt Engineering & Techniques
If you’ve spent any time tuning LLM outputs in production, you’ve already run into the problem: the model gives you…
You’re building a legitimate product — a legal research tool, a security training platform, a mental health support bot —…
If you’ve built anything serious with Claude, you’ve hit this wall: you ask for JSON, you get JSON — until…
Most system prompts fail silently. The model responds, the output looks plausible, and you only discover the problem when it…
Most prompt engineering advice stops at “write a good prompt.” That’s fine for simple lookups, but prompt chaining for agents…
Most agent failures I’ve seen in production aren’t capability failures — the model knows what to do. They’re judgment failures:…
If you’ve shipped an LLM-powered feature to real users, you already know the specific dread of hallucinations in production —…
Most developers writing claude system prompts agents treat the system prompt like a sticky note — a few lines reminding…
If you’re building Claude agents that process external content — emails, web pages, user-submitted documents, tool outputs — you already…