SQLite Web: forge.db

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[{"type":"thinking","text":"The user says \"视频号运营\" (WeChat Channels / Video Account operations). Combined with earlier \"我要做个课\" (I want to make a course). \n\nSo 小郭 wants to make a course about 视频号运营 (WeChat Channels operations). \n\nNow, given the context of this project (AI 原生经验萃取引擎), the flow would be: they want to extract an expert's experience on 视频号运营 and turn it into a course/training material.\n\nBut wait — is 视频号运营 aligned with B2B sales? The CLAUDE.md notes the deliverable handbook first version only supports sales-b2b scenario profile. But that's just for handbook rendering scenario adaptation. The extraction core still works.\n\nAlso who is the expert? The user 小郭 is in CS domain. Maybe 视频号运营 is their own domain — they run WeChat Channels for client success content? Or they want to extract an expert's WeChat Channels operation experience.\n\nI need to clarify more: \n1. Who is the expert whose experience to extract? Or is 小郭 themselves the expert?\n2. Who's the audience of the course?\n3. Do they already have someone in mind?\n\nActually the user is being quite terse. Let me keep asking targeted questions, one at a time, naturally.\n\nThe most useful next question: 谁的经验? Is it 小郭本人's own experience in 视频号运营, or someone else (a colleague/expert)? And what's the specific value point (涨粉/变现/直播/内容策划)? Also audience.\n\nLet me ask who's the expert and the audience/goal. But one question at a time per the /init guidance style, though that's not /init. In normal conversation, don't overwhelm with multiple questions. Ask the key one first.\n\nThe core of the extraction engine: 定主题、选专家、找价值点. For a course on 视频号运营, we need:\n- 主题: 视频号运营 (which aspect? 内容策划? 直播带货? 涨粉?)\n- 专家: who?\n- 受众/目标: new hires? sales using 视频号 as a channel? A course for what outcome?\n- 业务目标: measurable business outcome.\n\nGiven this engine's assumptions are about high-performing employees whose competence greatly impacts performance, and the user is in CS... Actually 视频号运营 could be a CS/sales skill? Hmm, or maybe their company does business via 视频号.\n\nLet me ask naturally. One question: 这门课是想把「谁」的「视频号运营经验」沉淀下来? And how will it be used (who learns it, to achieve what). I'll ask one focused question, maybe two-part but single question. Keep simple."},{"type":"thinking","text":"The user says \"视频号运营\" (WeChat Channels / Video Account operations). Combined with earlier \"我要做个课\" (I want to make a course). \n\nSo 小郭 wants to make a course about 视频号运营 (WeChat Channels operations). \n\nNow, given the context of this project (AI 原生经验萃取引擎), the flow would be: they want to extract an expert's experience on 视频号运营 and turn it into a course/training material.\n\nBut wait — is 视频号运营 aligned with B2B sales? The CLAUDE.md notes the deliverable handbook first version only supports sales-b2b scenario profile. But that's just for handbook rendering scenario adaptation. The extraction core still works.\n\nAlso who is the expert? The user 小郭 is in CS domain. Maybe 视频号运营 is their own domain — they run WeChat Channels for client success content? Or they want to extract an expert's WeChat Channels operation experience.\n\nI need to clarify more: \n1. Who is the expert whose experience to extract? Or is 小郭 themselves the expert?\n2. Who's the audience of the course?\n3. Do they already have someone in mind?\n\nActually the user is being quite terse. Let me keep asking targeted questions, one at a time, naturally.\n\nThe most useful next question: 谁的经验? Is it 小郭本人's own experience in 视频号运营, or someone else (a colleague/expert)? And what's the specific value point (涨粉/变现/直播/内容策划)? Also audience.\n\nLet me ask who's the expert and the audience/goal. But one question at a time per the /init guidance style, though that's not /init. In normal conversation, don't overwhelm with multiple questions. Ask the key one first.\n\nThe core of the extraction engine: 定主题、选专家、找价值点. For a course on 视频号运营, we need:\n- 主题: 视频号运营 (which aspect? 内容策划? 直播带货? 涨粉?)\n- 专家: who?\n- 受众/目标: new hires? sales using 视频号 as a channel? A course for what outcome?\n- 业务目标: measurable business outcome.\n\nGiven this engine's assumptions are about high-performing employees whose competence greatly impacts performance, and the user is in CS... Actually 视频号运营 could be a CS/sales skill? Hmm, or maybe their company does business via 视频号.\n\nLet me ask naturally. One question: 这门课是想把「谁」的「视频号运营经验」沉淀下来? And how will it be used (who learns it, to achieve what). I'll ask one focused question, maybe two-part but single question. Keep simple."},{"type":"text","text":"明白了——**视频号运营**主题的课。\n\n那核心问题是:**要把「谁」的运营经验做成这门课?** 是萃取某位做得特别好的同事的经验(ta 的视频号数据很亮眼),还是想把你自己积累的运营方法整理成课?这个决定了我们走「访谈萃取」还是「内容整理」哪条路。"}]

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