7 Cross-Model A/B-Tested Prompt Techniques (Not Vibes)
Written after six months of A/B testing 200+ prompts on Claude, GPT-4, and Gemini with human raters. Covers persona + constraint stacking, anti-examples, role-reversal QA, cognitive scaffolds, emotional priming, uncertainty CoT, and steelman-first.
Persona+Constraint stacking / Anti-example contrast (+40% in evals) / Role reversal QA / Cognitive scaffold format / Emotional priming / Uncertainty CoT / Steelman-first critique
[ Log in to see the full prompt ]Sign up free to see the full prompt, copy it, save it, and join the discussion. Free content unlocks on login; Pro content is a separate subscription.
200+ prompts, 6 months of real testing, scored by human raters. The two most worth remembering are anti-examples (+40%) and steelman-first, both of which genuinely change output quality rather than just rephrasing things.
Output 從「kind of works」升到「embarrassingly good」— 對複雜 review / critique / 創意生成任務最有感
Suno Engineer's Mindset: 4 Steps to a Song That Doesn't Sound Like AI
A studio engineer's breakdown of Suno's fatal weaknesses (fried vocals, high-frequency artifacts), plus a 4-step DAW workflow and a Suno Studio cleanup prompt.
5 Claude Weekly Workflows That Stuck After 6 Months
Proposal generator / meeting processor / content repurposer / Friday review / shutdown reset — out of 40 I tried, only these 5 survived, each saving 30+ minutes per run.