SYNTX.AI

KERNEL in Five Minutes: Why a Good Prompt Looks Suspiciously Like a Technical Specification

The article explains the KERNEL framework for prompt engineering, which the author describes as a simple recipe: keep it simple, easy to verify, reproducible results, narrow scope, explicit constraints, and logical structure. While KERNEL is useful for everyday prompting, the article argues that real LLM production requires more than good prompts—including evals, context engineering, and tool integration. The author shares personal insights from using SYNTX.AI to compare models.

SYNTX.AI