𝗧𝘄𝗼 𝘄𝗼𝗿𝗱𝘀 𝘁𝗼 𝗿𝗲𝗱𝘂𝗰𝗲 𝗔𝗜 𝗵𝗮𝗹𝗹𝘂𝗰𝗶𝗻𝗮𝘁𝗶𝗼𝗻 𝘀𝗶𝗴𝗻𝗶𝗳𝗶𝗰𝗮𝗻𝘁𝗹𝘆

Most of us know the frustration hallucination doesn't just give us wrong answers; it traps us in cycles of mistakes, compounding errors until we're miles from the truth.

Here's what changed my results: Instead of just asking AI to "think step by step" (chain of thought), I now end every prompt with: "𝘋𝘰 𝘢 𝘥𝘦𝘦𝘱 𝙨𝙩𝙧𝙚𝙨𝙨 𝙩𝙚𝙨𝙩 𝘢𝘨𝘢𝘪𝘯𝘴𝘵 𝘺𝘰𝘶𝘳 𝘢𝘯𝘴𝘸𝘦𝘳."

The difference? Chain of thought lets the model reason sequentially but it never questions itself. A stress test forces it to interrogate its own logic, spot weaknesses, and surface uncertainties before you ever see the output.

𝘐'𝘮 𝘢𝘤𝘵𝘪𝘷𝘦𝘭𝘺 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩𝘪𝘯𝘨 𝘵𝘩𝘪𝘴 𝘢𝘯𝘥 𝘳𝘦𝘭𝘢𝘵𝘦𝘥 𝘵𝘦𝘤𝘩𝘯𝘪𝘲𝘶𝘦𝘴, 𝘧𝘪𝘯𝘢𝘭𝘪𝘻𝘪𝘯𝘨 𝘴𝘰𝘮𝘦 𝘧𝘳𝘢𝘮𝘦𝘸𝘰𝘳𝘬𝘴 𝘵𝘩𝘢𝘵 𝘐 𝘣𝘦𝘭𝘪𝘦𝘷𝘦 𝘤𝘢𝘯 𝘮𝘦𝘢𝘯𝘪𝘯𝘨𝘧𝘶𝘭𝘭𝘺 𝘪𝘮𝘱𝘳𝘰𝘷𝘦 𝘩𝘰𝘸 𝘸𝘦 𝘸𝘰𝘳𝘬 𝘸𝘪𝘵𝘩 𝘈𝘐. 𝘐𝘧 𝘺𝘰𝘶'𝘳𝘦 𝘦𝘹𝘱𝘦𝘳𝘪𝘮𝘦𝘯𝘵𝘪𝘯𝘨 𝘸𝘪𝘵𝘩 𝘱𝘳𝘰𝘮𝘱𝘵 𝘦𝘯𝘨𝘪𝘯𝘦𝘦𝘳𝘪𝘯𝘨, 𝘈𝘐 𝘳𝘦𝘭𝘪𝘢𝘣𝘪𝘭𝘪𝘵𝘺, 𝘰𝘳 𝘫𝘶𝘴𝘵 𝘵𝘪𝘳𝘦𝘥 𝘰𝘧 𝘤𝘩𝘢𝘴𝘪𝘯𝘨 𝘩𝘢𝘭𝘭𝘶𝘤𝘪𝘯𝘢𝘵𝘪𝘰𝘯𝘴 𝘐'𝘥 𝘭𝘰𝘷𝘦 𝘵𝘰 𝘤𝘰𝘯𝘯𝘦𝘤𝘵 𝘢𝘯𝘥 𝘦𝘹𝘤𝘩𝘢𝘯𝘨𝘦 𝘪𝘥𝘦𝘢𝘴.