5 trust-checking one-liner prompts (no role-play)
After a year of role-play system prompts and 14-step frameworks, here's the takeaway: the thing that actually moved the needle on quality was 5 one-line prompts. No roles, no markdown, no "you are an expert."
## PROMPT 1 — BEFORE giving a hard question > What would you ask me before answering this if you could? 用途:在問之前跑。Model 會列 3-4 個會改變答案的關鍵細節。一半的時間你會發現你少給了關鍵 context。 ## PROMPT 2 — AFTER any factual answer > Rate the confidence on each claim, lowest first. 用途:強制 calibration pass。高信心 claim 可放行、< 6/10 的需要 verify 再引用。這一招把我的事實錯誤率砍 70%。 ## PROMPT 3 — WHEN answer feels generic > Give me the version of this answer you'd write without the constraints I set. 用途:Model 常因 safety/tone constraint 自我審查。要 unconstrained 版會看到它真正在想什麼。通常更銳利、偶爾出錯、永遠更可用 as starting point。 ## PROMPT 4 — BEFORE locking in any decision > What's the strongest counterargument? 用途:Steel-man 反方。一半的時候你會改決定、另一半你 ship 時更有信心因為已 stress-test 過。 ## PROMPT 5 — WHEN explanation feels right but you're unsure > Explain this answer in 2 sentences a smart 12-year-old would understand. 用途:強制壓縮。如果 model 壓縮不到 2 句、底層解釋本來就糊、要換個問法。 ## 何時用哪個 5 個用在不同時點: - Prompt 1 — 問題前 - Prompt 2 — 事實答案後 - Prompt 3 — 覺得 generic 時 - Prompt 4 — 鎖定決定前 - Prompt 5 — 覺得「對但我不懂」時 不需要每答案都跑 5 個、知道哪個 fit 哪個 situation。
Swap the variables inside the [ ] brackets for your own content, then paste into ChatGPT.
See what this prompt actually produces without leaving the site (live AI run, 1 credit).
Why do these beat role-play "you are a senior X" prompts? Because those only bias the writing style; these 5 bias how the model thinks. One changes the voice, the other changes the substance. This is the 80/20 of prompt engineering.
更可靠的 AI 答案 — 知道 model 哪裡在 hallucinate、哪裡在 self-censor、哪裡真的懂、哪裡只是看起來懂
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