The two skills that actually matter in 2025 aren’t prompting tricks or jailbreaking (everyone has those now). They’re (1) turning vague ideas into ruthless evaluation benchmarks and (2) knowing exactly when the model is hallucinating vs reasoning. Which one do you think is harder to teach people in practice?

Happy to dive deeper into any of these if it’s useful. I’ve been testing these workflows daily (decomposition, iterative refinement, reasoning passes, compression loops), so if anyone wants concrete examples or wants to compare approaches, I’m happy to share and discuss.