This is a powerful shift—from prompting to system design. Most people still blame hallucinations on the model, but your approach highlights the real issue: lack of structured context. The idea of a “45-line context engine” is especially interesting because it turns AI usage from: trial-and-error prompting → into deterministic, repeatable workflows That’s where real leverage comes from. Also aligns with what many GPT-5 experiments are showing—structure beats volume when it comes to getting reliable outputs �. Medium Curious to know: How do you handle dynamic context (changing tasks) without breaking the system?