If you’ve built anything serious with Claude or GPT-4, you’ve hit the wall: a legitimate business task — generating a…
Browsing: Prompt Engineering & Techniques
Advanced prompt engineering techniques, system prompt design, and getting consistent output from LLMs
Most agent workflows fail not because the prompts are bad, but because the structure is wrong. You’ve probably seen both…
Most developers treat system prompts like a terms-of-service document — throw in a list of “do this, don’t do that”…
Most developers treat zero-shot vs few-shot as a coin flip — throw some examples in if the output looks bad,…
Most developers building AI agents treat safety and alignment as an afterthought — a moderation API call bolted on after…
Most LLM failures in production aren’t model failures — they’re task design failures. You hand a single prompt a problem…
Most developers ship their first LLM integration with temperature set to whatever the API default is, tweak it once when…
