![\"\u68c0\u6d4b\u5e76\u6d88\u9664AI\u5199\u4f5c\u75d5\u8ff9\"](\"https:\/\/ai.jxgzhc.cn\/wp-content\/uploads\/2026\/09\/avoid-ai-writing.webp\")
<\/p>\n<\/p>\n
\u81ea\u52a8\u8bc6\u522b\u5e76\u6e05\u9664 AI \u5199\u4f5c\u75d5\u8ff9\uff0c\u8ba9\u4f60\u7684\u5185\u5bb9\u66f4\u81ea\u7136\u3001\u66f4\u5177\u4eba\u6027\u5316\u3002<\/strong><\/p>\n avoid-ai-writing<\/p>\n \u5ba1\u8ba1\u5e76\u91cd\u5199\u5185\u5bb9\uff0c\u53bb\u9664 AI \u5199\u4f5c\u75d5\u8ff9\u3002\u8fd9\u662f\u4e00\u4e2a\u9002\u7528\u4e8e\u4efb\u4f55 AI Agent \u7684\u5b9e\u7528\u6280\u80fd\uff0c\u652f\u6301\u4ec5\u68c0\u6d4b\u548c\u539f\u5730\u7f16\u8f91\u6a21\u5f0f\uff0c\u5e76\u652f\u6301\u8bed\u6c14\u98ce\u683c\u8bbe\u5b9a\u3002<\/p>\n \u5feb\u901f\u6f14\u793a<\/p>\n \u8f93\u5165\uff1a<\/p>\n Certainly! Acme Analytics, a vibrant startup nestled in the heart of Boulder's thriving tech ecosystem, has secured $40M in Series B funding \u2014 marking a watershed moment for the observability landscape. The platform serves as a unified hub, featuring real-time dashboards, boasting sub-second queries, and presenting a seamless integration layer. Moreover, experts believe Acme is poised to disrupt the market. In conclusion, the future looks bright!<\/p>\n \u8f93\u51fa\uff1a<\/p>\n Acme Analytics raised a $40M Series B led by Sequoia. The Boulder-based startup makes an observability platform that runs queries in under a second and plugs into existing monitoring stacks without custom integration work.<\/p>\n \u5b83\u6355\u6349\u5230\u4e86\u4ec0\u4e48\uff1a \u804a\u5929\u673a\u5668\u4eba\u5f0f\u5f00\u5934\uff08"Certainly!"\uff09\u3001\u4fc3\u9500\u8bed\u8a00\uff08"vibrant," "nestled," "thriving"\uff09\u3001\u91cd\u8981\u6027\u81a8\u80c0\uff08"watershed moment"\uff09\u3001\u7cfb\u52a8\u8bcd\u56de\u907f\uff08"serves as," "featuring," "boasting"\uff09\u30014 \u4e2a\u5355\u8bcd\u66ff\u6362\u3001\u6a21\u7cca\u5f15\u7528\uff08"experts believe"\uff09\u3001\u586b\u5145\u8bed\uff08"Moreover"\uff09\u3001\u901a\u7528\u7ed3\u8bba\uff08"the future looks bright"\uff09\u3001\u8fc7\u5ea6\u6253\u78e8\u7684 uniformity\u3002\u4e00\u6bb5\u8bdd\u4e2d\u6709 15+ \u5904 AI \u75d5\u8ff9\u3002<\/p>\n \u8fd9\u4e2a\u6280\u80fd\u505a\u4ec0\u4e48<\/p>\n \u8fd9\u4e2a\u53ef\u79fb\u690d\u7684\u5199\u4f5c\u6280\u80fd\u4f1a\u5ba1\u8ba1\u5e76\u91cd\u5199\u5185\u5bb9\uff0c\u53bb\u9664 AI \u5199\u4f5c\u6a21\u5f0f\uff08"AI-isms"\uff09\u3002\u5b83\u517c\u5bb9 Claude Code\u3001Claude Cowork\u3001OpenClaw\u3001Cursor\u3001Hermes\u3001OpenAI Codex\u3001Windsurf\u3001Cline\u3001GitHub Copilot\u3001 Claude.ai Projects\u3001ChatGPT Custom GPTs \u4ee5\u53ca\u5176\u4ed6 agentskills.io \u517c\u5bb9\u7684 Agent\u3002<\/p>\n \u4e09\u79cd\u6a21\u5f0f\uff1a<\/p>\n Rewrite\uff08\u91cd\u5199\uff0c\u9ed8\u8ba4\uff09 \u2014\u2014 \u6807\u8bb0 AI \u6a21\u5f0f\u5e76\u91cd\u5199\u6587\u672c\u4ee5\u4fee\u590d\u5b83\u4eec\u3002\u5185\u7f6e\u7684\u7b2c\u4e8c\u904d\u68c0\u67e5\u4f1a\u6355\u6349\u7b2c\u4e00\u904d\u7f16\u8f91\u540e\u4ecd\u5b58\u7559\u7684\u6a21\u5f0f\u3002<\/p>\n Detect\uff08\u68c0\u6d4b\uff09 \u2014\u2014 \u4ec5\u6807\u8bb0 AI \u6a21\u5f0f\uff0c\u4e0d\u8fdb\u884c\u91cd\u5199\u3002\u663e\u793a\u54ea\u4e9b\u6807\u8bb0\u662f\u771f\u6b63\u7684\u95ee\u9898\uff0c\u54ea\u4e9b\u662f\u5224\u65ad\u6027\u8c03\u7528\u3002\u5f53\u6a21\u5f0f\u53ef\u80fd\u662f\u6545\u610f\u7684\u3001\u5f53\u4f60\u5ba1\u8ba1\u4e0d\u60f3\u88ab\u4fee\u6539\u7684\u5185\u5bb9\u3001\u6216\u5f53\u4f60\u53ea\u60f3\u5feb\u901f\u626b\u63cf\u65f6\uff0c\u8fd9\u4e2a\u6a21\u5f0f\u5f88\u6709\u7528\u3002<\/p>\n Edit\uff08\u7f16\u8f91\uff09 \u2014\u2014 \u4f7f\u7528 Edit \u5de5\u5177\u5bf9\u6587\u4ef6\u8fdb\u884c\u539f\u5730\u7f16\u8f91\uff0c\u505a\u51fa\u6700\u5c0f\u7684\u3001\u6709\u9488\u5bf9\u6027\u7684\u6539\u52a8\uff0c\u4fdd\u7559\u5df2\u7ecf\u662f\u4eba\u7c7b\u98ce\u683c\u7684\u6bb5\u843d\u3002\u8fd4\u56de\u201c\u5df2\u505a\u4fee\u6539 + \u9a8c\u8bc1\u201d\u62a5\u544a\uff0c\u800c\u4e0d\u662f\u6574\u4e2a\u6587\u4ef6\u3002<\/p>\n \u53ef\u9009\u7684 \u8bed\u6c14\u98ce\u683c\u8bbe\u5b9a \uff08casual \/ professional \/ technical \/ warm \/ blunt\uff09\u51b3\u5b9a\u6563\u6587\u542c\u8d77\u6765\u7684\u8bed\u6c14\uff0c\u72ec\u7acb\u4e8e\u53d7\u4f17\u80cc\u666f\u8bbe\u5b9a\u3002<\/p>\n \u4e3a\u4ec0\u4e48\u662f\u6280\u80fd\uff0c\u800c\u4e0d\u4ec5\u4ec5\u662f\u63d0\u793a\u8bcd<\/p>\n \u4e00\u6b21\u6027\u7684\u201c\u8ba9\u8fd9\u6bb5\u8bdd\u542c\u8d77\u6765\u50cf\u4eba\u5199\u7684\u201d\u63d0\u793a\u8bcd\u53ea\u80fd\u6293\u4f4f\u660e\u663e\u7684\u95ee\u9898\u3002\u8fd9\u4e2a\u6280\u80fd\u4e0d\u540c\uff1a<\/p>\n \u7ed3\u6784\u5316\u5ba1\u8ba1 \u2014\u2014 \u4ee5\u56db\u4e2a\u72ec\u7acb\u90e8\u5206\u8fd4\u56de\u8bc6\u522b\u51fa\u7684\u95ee\u9898\uff08\u542b\u5f15\u7528\u6587\u672c\uff09\u3001\u91cd\u5199\u7248\u672c\u3001\u53d8\u66f4\u6458\u8981\u548c\u7b2c\u4e8c\u904d\u5ba1\u8ba1\u3002\u4f60\u53ef\u4ee5\u770b\u5230\u5230\u5e95\u6539\u4e86\u4ec0\u4e48\u3001\u4e3a\u4ec0\u4e48\u6539\u3002<\/p>\n \u4e24\u904d\u68c0\u6d4b \u2014\u2014 \u7b2c\u4e8c\u904d\u4f1a\u91cd\u65b0\u9605\u8bfb\u91cd\u5199\u7ed3\u679c\uff0c\u6355\u6349\u7b2c\u4e00\u904d\u7f16\u8f91\u540e\u4ecd\u5b58\u7559\u7684\u6a21\u5f0f\uff1a\u91cd\u590d\u7684\u8fc7\u6e21\u53e5\u3001\u6325\u4e4b\u4e0d\u53bb\u7684\u91cd\u8981\u6027\u81a8\u80c0\u3001\u6f0f\u7f51\u7684\u7cfb\u52a8\u8bcd\u66ff\u6362\u3002<\/p>\n 112 \u6761\u8bcd\u6c47\u66ff\u6362\u8868\uff0c\u5206 3 \u4e2a\u5c42\u7ea7 + 10 \u6761\u7b2c 3 \u5c42\u7ea7\u77ed\u8bed \u2014\u2014 \u4e0d\u662f\u51ed\u611f\u89c9\u3002\u6bcf\u4e2a\u88ab\u6807\u8bb0\u7684\u8bcd\u90fd\u6709\u5177\u4f53\u7684\u3001\u66f4\u5e73\u5b9e\u7684\u66ff\u4ee3\u8bcd\u3002\u201cLeverage\u201d \u2192 \u201cuse.\u201d\u201cCommence\u201d \u2192 \u201cstart.\u201d\u7b2c 1 \u5c42\u8bcd\u603b\u662f\u6807\u8bb0\uff0c\u7b2c 2 \u5c42\u8bcd\u5728\u805a\u96c6\u65f6\u6807\u8bb0\uff0c\u7b2c 3 \u5c42\u8bcd\u4ec5\u5728\u9ad8\u5bc6\u5ea6\u65f6\u6807\u8bb0\u3002\u7b2c 1 \u5c42\u53c8\u5206\u4e3a 1A \u9891\u7387\u6807\u8bb0 \uff08 delve \u3001 tapestry \uff09\u548c 1B \u6e05\u6670\u5ea6\u4fee\u6539 \uff08 in order to \u3001 utilize \uff09\u2014\u2014 \u4fee\u590d\u65b9\u5f0f\u76f8\u540c\uff0c\u4f46\u53ea\u6709 1A \u662f\u5173\u4e8e\u8be5\u6bb5\u843d\u5982\u4f55\u4ea7\u751f\u7684\u8bc1\u636e\uff0c\u5e76\u4e14 1B \u6743\u91cd\u8f83\u4f4e\uff0c\u56e0\u6b64\u5197\u957f\u4fee\u590d\u4e0d\u4f1a\u628a\u6587\u6863\u63a8\u5411 AI \u5206\u7c7b\u3002\u7b2c 3 \u5c42 \u77ed\u8bed \uff08\u591a\u8bcd\u5957\u8bdd\uff0c\u5982\u201cthe integration of\u201d\u3001\u201cdecentralized compute\u201d\uff09\u5728\u9010\u77ed\u8bed\u91cd\u590d\u65f6\u6807\u8bb0\uff0c\u6216\u5f53\u4e00\u7bc7\u5185\u5bb9\u4e2d\u5806\u53e0 3+ \u4e2a\u4e0d\u540c\u77ed\u8bed\u65f6\u6807\u8bb0 \u2014\u2014 \u8fd9\u5c31\u662f LLM \u81ea\u6211\u53d8\u5316\u5957\u8bdd\u7684\u5f62\u72b6\u3002<\/p>\n 61 \u4e2a\u6a21\u5f0f\u7c7b\u522b \u2014\u2014 \u4e0b\u9762\u662f\u4ee3\u8868\u6027\u793a\u4f8b\uff0c\u6bcf\u4e2a\u90fd\u6709\u6539\u524d\/\u6539\u540e\u3002\u5305\u62ec\u7ed3\u6784\u68c0\u6d4b\uff08hashtag \u5806\u780c\u3001\u88f8\u540d\u8bcd\u77ed\u8bed\u9879\u76ee\u7b26\u53f7\u5217\u8868\u3001\u591a\u91cd\u5bf9\u51b2\u9884\u6d4b\uff09\u3001AI \u5de5\u5177\u6307\u7eb9\uff08\u5360\u4f4d\u7b26\u3001\u5f15\u7528\u6807\u8bb0\u3001UTM \u53c2\u6570\uff09\u3001\u8282\u594f\/\u4e00\u81f4\u6027\u68c0\u67e5\u3001\u5bf9\u8bdd\u8bed\u57df\u7ebf\u7d22\u548c\u4f5c\u8005\u7aef\u6d4b\u8bd5\u3002\u5b8c\u6574\u76ee\u5f55\u4f4d\u4e8e SKILL.md \uff1b\u8fd9\u4e2a\u6570\u91cf\u5728 CI \u4e2d\u4f1a\u5bf9\u7167\u9a8c\u8bc1\u3002<\/p>\n Detect \u6a21\u5f0f \u2014\u2014 \u4e0d\u91cd\u5199\u5730\u6807\u8bb0\u6a21\u5f0f\u3002\u67e5\u770b\u54ea\u4e9b\u6807\u8bb0\u662f\u771f\u6b63\u7684\u95ee\u9898\uff0c\u54ea\u4e9b\u662f\u5224\u65ad\u6027\u8c03\u7528\u3002\u5f53\u6a21\u5f0f\u53ef\u80fd\u662f\u6545\u610f\u7684\u6216\u4f60\u5728\u5ba1\u8ba1\u4e0d\u60f3\u6539\u52a8\u7684\u5185\u5bb9\u65f6\uff0c\u8fd9\u4e2a\u6a21\u5f0f\u5f88\u6709\u7528\u3002<\/p>\n \u8de8\u5e73\u53f0\u8fd0\u884c \u2014\u2014 \u4e00\u4e2a SKILL.md \u53ef\u5728 Claude Code\u3001Cowork\uff08\u4f5c\u4e3a\u63d2\u4ef6\uff09\u3001OpenClaw \u548c Cursor\uff08\u4f5c\u4e3a\u79fb\u690d\u89c4\u5219\uff09\u4e2d\u8fd0\u884c\u3002<\/p>\n \u89e6\u53d1\u6280\u80fd<\/p>\n \u5b89\u88c5\u540e\uff0c\u8ba9\u4f60\u7684\u52a9\u624b\u6e05\u7406 AI \u5199\u4f5c\uff1a<\/p>\n "Remove AI-isms from this post"<\/p>\n "Audit this draft for AI tells"<\/p>\n "Make this sound less like AI"<\/p>\n "Clean up AI writing in this paragraph"<\/p>\n \u5728 rewrite \u6a21\u5f0f \uff08\u9ed8\u8ba4\uff09\u4e0b\uff0c\u6280\u80fd\u8fd4\u56de\u56db\u4e2a\u90e8\u5206\uff1a<\/p>\n Issues found\uff08\u53d1\u73b0\u7684\u95ee\u9898\uff09 \u2014\u2014 \u8bc6\u522b\u51fa\u7684\u6bcf\u4e00\u4e2a AI \u75d5\u8ff9\uff0c\u9644\u5f15\u7528\u6587\u672c<\/p>\n Rewritten version\uff08\u91cd\u5199\u7248\u672c\uff09 \u2014\u2014 \u53bb\u9664\u6240\u6709 AI \u75d5\u8ff9\u7684\u5e72\u51c0\u7248\u672c<\/p>\n What changed\uff08\u6539\u4e86\u4ec0\u4e48\uff09 \u2014\u2014 \u4e3b\u8981\u7f16\u8f91\u7684\u6458\u8981<\/p>\n Second-pass audit\uff08\u7b2c\u4e8c\u904d\u5ba1\u8ba1\uff09 \u2014\u2014 \u91cd\u65b0\u9605\u8bfb\u91cd\u5199\u7ed3\u679c\uff0c\u6355\u6349\u4efb\u4f55\u5b58\u7559\u7684\u75d5\u8ff9<\/p>\n \u5728 detect \u6a21\u5f0f \u4e0b\uff0c\u6280\u80fd\u8fd4\u56de\u4e24\u4e2a\u90e8\u5206\uff1a<\/p>\n Issues found\uff08\u53d1\u73b0\u7684\u95ee\u9898\uff09 \u2014\u2014 \u8bc6\u522b\u51fa\u7684\u6bcf\u4e00\u4e2a AI \u75d5\u8ff9\uff0c\u6309\u4e25\u91cd\u7a0b\u5ea6\uff08P0\/P1\/P2\uff09\u5206\u7ec4<\/p>\n Assessment\uff08\u8bc4\u4f30\uff09 \u2014\u2014 \u54ea\u4e9b\u6807\u8bb0\u662f\u660e\u786e\u95ee\u9898\uff0c\u54ea\u4e9b\u53ef\u80fd\u662f\u6545\u610f\u6216\u4e0a\u4e0b\u6587\u6709\u6548\u7684\u6a21\u5f0f<\/p>\n \u4f7f\u7528\u4ee5\u4e0b\u65b9\u5f0f\u89e6\u53d1 detect \u6a21\u5f0f\uff1a\u201cdetect\u201d\u3001\u201cflag only\u201d\u3001\u201caudit only\u201d\u3001\u201cjust flag\u201d\u3001\u201cscan\u201d\u6216\u7c7b\u4f3c\u77ed\u8bed\u3002<\/p>\n \u6a21\u5f0f\u53c2\u8003<\/p>\n \u4ee5\u4e0b\u662f\u76ee\u5f55\u4e2d\u7684\u4ee3\u8868\u6027\u793a\u4f8b \u2014\u2014 \u5e76\u975e\u8be6\u5c3d\u5217\u8868\uff08\u8be6\u5c3d\u5217\u8868\u5728 SKILL.md \uff09\u3002\u6280\u80fd\u7684\u4eba\u7c7b\u53ef\u8bfb\u6563\u6587\u76ee\u5f55\u548c\u68c0\u6d4b\u5f15\u64ce \u6545\u610f\u4f7f\u7528\u4e0d\u540c\u6570\u91cf \uff1a\u5f15\u64ce\u5b9e\u73b0\u4e86 45 \u4e2a type \u7c7b\u522b\uff0c\u56e0\u4e3a\u5b83\u62c6\u5206\u8bcd\u6c47\u5c42\u7ea7\u5e76\u6dfb\u52a0\u4e86\u6587\u4f53\/\u6307\u7eb9\u4fe1\u53f7\uff08\u6807\u70b9\u5206\u5e03\u3001\u529f\u80fd\u8bcd\u71b5\u3001\u7ed5\u8fc7\u6280\u5de7\u68c0\u6d4b\uff09\uff0c\u8fd9\u4e9b\u4fe1\u53f7\u662f\u4f5c\u4e3a\u5bf9\u6587\u6863\u7684\u6570\u5b66\u8ba1\u7b97\uff0c\u800c\u4e0d\u662f\u4f60\u53ef\u4ee5\u67e5\u9605\u7684\u89c4\u5219\u3002\u4e24\u8005\u5728 detector\/CATEGORIES.md \u4e2d\u6620\u5c04\uff1b\u4e0d\u8981\u201c\u4fee\u6b63\u201d\u4e00\u4e2a\u6570\u91cf\u53bb\u5339\u914d\u53e6\u4e00\u4e2a\u3002<\/p>\n \u5185\u5bb9\u6a21\u5f0f\uff08Content Patterns\uff09<\/p>\n # 1 2 3 4 5 6 7 \u8bed\u8a00\u6a21\u5f0f\uff08Language Patterns\uff09<\/p>\n # 8 9 10 11 12 13 14 \u7ed3\u6784\u6a21\u5f0f\uff08Structure Patterns\uff09<\/p>\n # 15 16 17 18 19 20 21 22 23 \u6c9f\u901a\u6a21\u5f0f\uff08Communication Patterns\uff09<\/p>\n # 24 25 26 27 28 29 30 31 32 \u5143\u6a21\u5f0f\uff08Meta Patterns\uff09<\/p>\n # 33 34 35 36 \u7ed3\u6784\u68c0\u6d4b\uff08v3.4\uff09<\/p>\n \u5728 v3.4 \u4e2d\u52a0\u5165\uff0c\u7528\u4e8e\u6355\u6349\u901a\u8fc7\u66ff\u6362\u540c\u4e49\u8bcd\u7ed5\u8fc7\u8bcd\u6c47\u8868\u4f46\u4ecd\u4f9d\u8d56\u7ed3\u6784\u5316\u5f62\u72b6\u7684 LLM \u8f93\u51fa\u3002Crypto\/web3\/AI-infra \u5185\u5bb9\u6700\u96c6\u4e2d\u5730\u51fa\u73b0\u8fd9\u4e9b\u6a21\u5f0f\uff0c\u4f46\u8fd9\u4e9b\u89c4\u5219\u9002\u7528\u4e8e\u4efb\u4f55\u793e\u4ea4\u957f\u5ea6\u7684\u5e16\u5b50\u3002<\/p>\n # 37 38 39 40 41 42 AI \u5de5\u5177\u6307\u7eb9\u53ca\u540e\u7eed\u8865\u5145\uff08v3.5\u20133.8\uff09<\/p>\n # 43 44 45 46 47 48 49 50 51 \u5bf9\u8bdd\u8bed\u57df\u6a21\u5f0f\uff08v3.15\uff09<\/p>\n \u5728\u4e00\u6b21\u771f\u5b9e\u4ea4\u6d41\u4e2d\uff0c\u4e00\u4f4d\u7ef4\u62a4\u8005\u7528\u201cI prefer to talk human to human\u201d\u6307\u51fa\u4e86\u4e00\u6761\u770b\u8d77\u6765\u50cf\u8f85\u52a9\u751f\u6210\u7684 GitHub issue \u56de\u590d\uff0c\u6b64\u540e\u52a0\u5165\u4e86\u8fd9\u4e9b\u6a21\u5f0f\u3002\u4e24\u8005\u90fd\u662f\u5224\u65ad\u6027\u8c03\u7528\uff0c\u800c\u4e0d\u662f\u6b63\u5219\u53ef\u68c0\u6d4b\u7684\uff08\u666e\u901a\u4eba\u7c7b\u6bb5\u843d\u548c AI \u751f\u6210\u7684\u6bb5\u843d\u53ef\u80fd\u7ed3\u6784\u76f8\u540c\uff1b\u7ebf\u7d22\u5728\u4e8e\u8bed\u57df\u548c\u591a\u4f59\u7684\u4e0a\u4e0b\u6587\uff0c\u800c\u4e0d\u662f\u56fa\u5b9a\u5f62\u72b6\uff09\u2014\u2014 \u53c2\u89c1 detector\/CATEGORIES.md \u7684 \u00a7C \u6ce8\u91ca\uff0c\u4e86\u89e3\u4e3a\u4f55\u7b2c\u4e00\u6b21\u5c1d\u8bd5\u201c\u4e00\u5835\u6587\u5b57\u5899\u68c0\u6d4b\u5668\u201d\u88ab\u56de\u6eda\u3002<\/p>\n # 52 53 \u5206\u4eab\u5e16\u6846\u67b6\uff08v3.20\uff09<\/p>\n # 54 \u53d9\u8ff0\u5f0f\u5766\u8bda\uff08v3.21\uff09<\/p>\n # 55 \u4e24\u4e2a\u4f5c\u8005\u7aef \u6d4b\u8bd5 \u8865\u5168\u4e86\u76ee\u5f55\uff08\u5224\u65ad\u6027\u68c0\u67e5\uff0c\u800c\u975e\u81ea\u52a8\u68c0\u6d4b\uff09\uff1a \u6bb5\u843d\u91cd\u6392\u514d\u75ab \uff08\u80fd\u5426\u4ea4\u6362\u4e24\u4e2a\u6b63\u6587\u6bb5\u843d\u800c\u4e0d\u7834\u574f\u6574\u7bc7\u6587\u7ae0\uff1f\uff09\u548c \u8dd1\u6b65\u673a\u6548\u5e94 \uff08\u201c\u8fd9\u4e00\u6bb5\u5b9e\u9645\u4e0a\u6709\u4ec0\u4e48\u65b0\u4e1c\u897f\uff1f\u201d\uff09\u3002<\/p>\n \u5b8c\u6574\u793a\u4f8b<\/p>\n \u6539\u524d\uff08AI \u751f\u6210\uff09\uff1a<\/p>\n Certainly! Here's a comprehensive overview of Acme's Series B.<\/p>\n Acme Analytics, a vibrant startup nestled in the heart of Boulder's thriving tech ecosystem, has secured $40M in Series B funding \u2014 marking a watershed moment for the company and the observability landscape at large. The round was led by Sequoia, with participation from Andreessen Horowitz, Y Combinator, and Index Ventures, underscoring the robust investor confidence in Acme's vision.<\/p>\n The platform serves as a unified hub for engineering teams, featuring real-time dashboards, boasting sub-second query performance, and presenting a seamless integration layer. It's not just another monitoring tool \u2014 it's a paradigm shift in how organizations navigate complex distributed systems. Experts believe Acme is poised to disrupt the $15B observability market. Studies show that companies utilizing comprehensive monitoring solutions can ascertain issues 40% faster.<\/p>\n \ud83d\ude80 Performance: The platform streamlines incident response, empowering engineers to resolve issues faster.<\/p>\n \ud83d\udca1 Scale: Acme fosters collaboration across teams, from frontend developers to SRE practitioners to platform builders to infrastructure engineers.<\/p>\n \u2705 Adoption: Customer adoption continues to accelerate, reflecting broader industry trends.<\/p>\n Moreover, Acme's approach showcases the potential of modern observability \u2014 symbolizing a shift toward proactive monitoring, reflecting years of R&D investment, and highlighting the intricate interplay between data collection and actionable intelligence. Despite challenges common in the crowded monitoring space, Acme continues to thrive. In order to fully capitalize on this momentum, the company plans to expand its go-to-market endeavors.<\/p>\n In conclusion, the future looks bright for Acme Analytics. Only time will tell how this game-changer will reshape the observability paradigm. Feel free to reach out if you'd like more details!<\/p>\n \u6539\u540e\uff08\u6e05\u7406\u540e\uff09\uff1a<\/p>\n Acme Analytics raised a $40M Series B led by Sequoia. The Boulder-based startup makes an observability platform that runs queries in under a second and plugs into existing monitoring stacks without custom integration work.<\/p>\n The pitch is speed. Their median time-to-resolution is 12 minutes, compared to the 45-minute industry average that Datadog reported in 2024. That gap is why 380 companies are paying for it.<\/p>\n They'll use the money to hire sales reps in EMEA and add log management. The monitoring market is crowded, but Acme's bet is that most teams still stitch together three or four tools and lose time switching between them.<\/p>\n \u8fd9\u4e2a\u6280\u80fd\u6355\u6349\u5230\u4e86\u4ec0\u4e48\uff1a \u804a\u5929\u673a\u5668\u4eba\u75d5\u8ff9\uff08Certainly!, Feel free to reach out\uff09\u30013 \u4e2a em dash\u3001\u4fc3\u9500\u8bed\u8a00\uff08vibrant, nestled, thriving\uff09\u3001\u91cd\u8981\u6027\u81a8\u80c0\uff08watershed moment\uff09\u3001\u7cfb\u52a8\u8bcd\u56de\u907f\uff08serves as, featuring, boasting, presenting\uff09\u300110 \u4e2a\u5355\u8bcd\u66ff\u6362\uff08landscape, robust, seamless, paradigm, streamline, empower, foster, utilize, ascertain, endeavor\uff09\u3001\u540c\u4e49\u8bcd\u5faa\u73af\uff08developers\/practitioners\/builders\/engineers\uff09\u3001\u5426\u5b9a\u5e73\u884c\u7ed3\u6784\uff08It's not just X, it's Y\uff09\u3001\u77e5\u540d\u5ea6\u70b9\u540d\u4eba\uff08Sequoia, a16z, YC, Index stacked for credibility\uff09\u3001\u6a21\u7cca\u5f15\u7528\uff08Experts believe, Studies show\uff09\u3001\u586b\u5145\u77ed\u8bed\uff08In order to, Moreover\uff09\u3001\u5e26 emoji \u7684\u5185\u8054\u6807\u9898\u5217\u8868\u3001\u6d45\u5c42 -ing \u5206\u6790\uff08symbolizing… reflecting… highlighting…\uff09\u3001\u516c\u5f0f\u5316\u6311\u6218\uff08Despite challenges… continues to thrive\uff09\u3001\u901a\u7528\u7ed3\u8bba\uff08the future looks bright, only time will tell\uff09\u3001\u91c7\u7eb3\u8981\u70b9\u4e2d\u9690\u542b\u7684\u9519\u8bef\u8303\u56f4\u3002<\/p>\n \u90a3\u662f 35+ \u5904 AI \u75d5\u8ff9\u3002<\/p>\n \u68c0\u6d4b\u5f15\u64ce<\/p>\n \u8fd9\u4e2a\u6280\u80fd\u5185\u7f6e\u4e00\u4e2a\u786e\u5b9a\u6027\u7684\u3001\u96f6\u4f9d\u8d56\u7684\u68c0\u6d4b\u5f15\u64ce\uff0c\u4f4d\u4e8e detector\/ \u2014\u2014 \u4e5f\u5c31\u662f\u4e0a\u9762\u89c4\u5219\u63cf\u8ff0\u7684\u540c\u4e00\u4e2a 45 \u7c7b\u522b\u5f15\u64ce\uff0c\u4f5c\u4e3a\u53ef\u8fd0\u884c\u4ee3\u7801\u3002\u5b83\u53ef\u4ee5\u5728 Node (>=18) \u548c\u6d4f\u89c8\u5668\u4e2d\u8fd0\u884c\uff0c\u65e0\u9700\u6784\u5efa\u6b65\u9aa4\u3002<\/p>\n \u5b83\u4e5f\u662f\u6570\u5b57\u5206\u6570\u7684\u552f\u4e00\u6765\u6e90\uff1a\u6280\u80fd\u672c\u8eab\uff08\u4ee5\u53ca detect \u6a21\u5f0f\uff09\u62a5\u544a \u54ea\u4e9b \u6a21\u5f0f\u5b58\u5728\u4ee5\u53ca\u4e25\u91cd\u7a0b\u5ea6\uff08P0\/P1\/P2\uff09\uff0c\u5f15\u64ce\u5c06\u5b83\u4eec\u8f6c\u6362\u4e3a\u4e00\u4e2a\u8ba1\u7b97\u51fa\u7684 0\u2013100 score \u3002 SKILL.md \u4e2d\u523b\u610f\u6ca1\u6709\u7b2c\u4e8c\u4e2a\u6563\u6587\u5f0f\u4f30\u7b97\u5206\u6570 \u2014\u2014 \u4e00\u4e2a\u8bc4\u5206\u5668\uff0c\u800c\u4e0d\u662f\u4e24\u4e2a\u3002<\/p>\n \u5f15\u64ce\u8fd8\u9644\u5e26\u4e00\u4e2a\u4fdd\u7559\u9a8c\u8bc1\u5668\u3002 detector\/validate.js \u4f1a\u5c06\u91cd\u5199\u7ed3\u679c\u4e0e\u539f\u6587\u8fdb\u884c\u6bd4\u8f83\uff0c\u5e76\u5728\u7f16\u8f91\u89e6\u53ca\u4e86\u4e0d\u8be5\u89e6\u53ca\u7684\u5185\u5bb9\u65f6\u5931\u8d25\uff1a\u4ee3\u7801\u5757\u3001YAML frontmatter\u3001blockquote\u3001\u8868\u683c\u5355\u5143\u683c\u3001\u884c\u5185\u4ee3\u7801\u3001URL\u3001\u6587\u4ef6\u8def\u5f84\u3001\u6807\u9898\u7ed3\u6784\uff0c\u6216\u5f53\u91cd\u5199\u7ed3\u679c\u4ee5\u6bd4\u5f00\u59cb\u65f6\u66f4\u591a\u7684\u6807\u8bb0\u6a21\u5f0f\u7ed3\u675f\u65f6\u3002<\/p>\n \u514d\u8d23\u58f0\u660e<\/p>\n \u8fd9\u662f\u4e00\u4e2a\u72ec\u7acb\u7684\u4e2a\u4eba\u9879\u76ee\uff0c\u4e0e\u4efb\u4f55\u516c\u53f8\u65e0\u5173\u3001\u672a\u53d7\u4efb\u4f55\u516c\u53f8\u8d5e\u52a9\u6216\u80cc\u4e66\u3002\u6240\u6709\u8868\u8fbe\u7684\u89c2\u70b9\u5747\u4e3a\u6211\u81ea\u5df1\u7684\u3002<\/p>\n \u8bb8\u53ef\u8bc1<\/p>\n MIT<\/p>\n \u4f5c\u8005\uff1aconorbronsdon \u81ea\u5a92\u4f53\u4eba \/ \u804c\u573a\u4eba \uff5c GitHub Stars 2.6K \uff5c \u6807\u7b7e\uff1a\u5199\u4f5c\u6587\u6848 \u53d1\u5e03\u5206\u53d1 \u5df2\u8ba4\u8bc1 \u5f00\u6e90\u8bb8\u53ef: MIT<\/p>\n\u8be6\u7ec6\u4ecb\u7ecd<\/h2>\n
\u6a21\u5f0f
\u6539\u524d
\u6539\u540e<\/p>\n
Significance inflation
"marking a pivotal moment in the evolution of…"
"was founded in 2019 to solve X"<\/p>\n
Notability name-dropping
"cited in NYT, BBC, and Wired"
"In a 2024 NYT interview, she argued…"<\/p>\n
Superficial -ing analyses
"symbolizing… reflecting… showcasing…"
Replace with specific facts or cut<\/p>\n
Promotional language
"nestled within the breathtaking region"
"is a town in the Gonder region"<\/p>\n
Vague attributions
"Experts believe it plays a crucial role"
"according to a 2019 survey by Gartner"<\/p>\n
Formulaic challenges
"Despite challenges… continues to thrive"
Name the challenge and the response<\/p>\n
Novelty inflation
"He introduced a term I hadn't heard before"
"He walked through how X works in practice"<\/p>\n
\u6a21\u5f0f
\u6539\u524d
\u6539\u540e<\/p>\n
Word\/phrase replacements (3 tiers)
"leverage… robust… seamless… utilize"
"use… reliable… smooth… use"<\/p>\n
Copula avoidance
"serves as… features… boasts"
"is… has"<\/p>\n
Synonym cycling
"developers… engineers… practitioners… builders"
"developers" (repeat the clear word)<\/p>\n
Template phrases
"a [adj] step towards [adj] infrastructure"
Describe the specific outcome<\/p>\n
Filler phrases
"In order to," "Due to the fact that"
"To," "Because"<\/p>\n
False ranges
"from the Big Bang to dark matter"
List the actual topics<\/p>\n
Parenthetical hedging
"tools (like X and Y)"
Name them directly or cut<\/p>\n
\u6a21\u5f0f
\u6539\u524d
\u6539\u540e<\/p>\n
Formatting
Em dashes (\u2014 and –), bold overuse, emoji headers, bullet-heavy
Commas\/periods, prose paragraphs<\/p>\n
Sentence structure
"It's not X, it's Y" + hollow intensifiers + hedging
Direct positive statements<\/p>\n
Structural issues
Uniform paragraphs, formulaic openings, too-clean grammar
Varied length, lead with the point<\/p>\n
Transition phrases
"Moreover," "Furthermore," "In today's [X]"
"and," "also," or restructure<\/p>\n
Inline-header lists
" Speed: Speed improved by…"
Write the point directly<\/p>\n
Title case headings
"Strategic Negotiations And Partnerships"
"Strategic negotiations and partnerships"<\/p>\n
Numbered list inflation
"Here are 7 reasons why…"
Cut to the 2-3 that matter<\/p>\n
False concession
"While X has limitations, it's still remarkable"
State the real tradeoff<\/p>\n
Rhetorical question openers
"What if there were a better way to…?"
Lead with the claim<\/p>\n
\u6a21\u5f0f
\u6539\u524d
\u6539\u540e<\/p>\n
Chatbot artifacts
"I hope this helps! Let me know if…"
Remove entirely<\/p>\n
"Let's" constructions
"Let's explore," "Let's break this down"
Just start with the point<\/p>\n
Cutoff disclaimers
"While details are limited in available sources…"
Find sources or remove<\/p>\n
Generic conclusions
"The future looks bright," "Only time will tell"
Specific closing thought or cut<\/p>\n
Emotional flatline
"What surprised me most," "I was fascinated to discover"
Earn the emotion or cut the claim<\/p>\n
Reasoning chain artifacts
"Let me think step by step," "Breaking this down"
State conclusion, then evidence<\/p>\n
Sycophantic tone
"Great question!", "You're absolutely right!"
Remove entirely<\/p>\n
Acknowledgment loops
"You're asking about," "To answer your question"
Just answer directly<\/p>\n
Confidence calibration
"It's worth noting," "Interestingly," "Surprisingly"
Let the fact speak for itself<\/p>\n
\u6a21\u5f0f
\u6539\u524d
\u6539\u540e<\/p>\n
Excessive structure
5 headers in 200 words, "Overview:", "Key Points:"
Merge sections, use specific headers<\/p>\n
Rhythm and uniformity
All sentences 15\u201325 words, all paragraphs same length
Mix short\/long, fragments, questions<\/p>\n
Over-polishing
Every irregularity sanded away, perfectly uniform prose
Keep natural disfluency, varied rhythm<\/p>\n
Rewrite-vs-patch threshold
5+ vocabulary flags + 3+ pattern categories + uniform rhythm
Advise full rewrite, not patching<\/p>\n
\u6a21\u5f0f
\u6539\u524d
\u6539\u540e<\/p>\n
Tier 3 phrases (multi-word boilerplate)
"the integration of," "decentralized compute," "community-driven," "long-term sustainability" stacked across a piece
Replace the repeated phrase with a specific claim, or vary genuinely. Flagged per-phrase at \u22652 hits, or as a cluster when \u22653 distinct phrases appear<\/p>\n
Future-narrative closers
"may become one of the most important narratives of the next market cycle"
Pick the falsifiable version. "X may exceed Y by 2027" is a prediction; the template form is not<\/p>\n
Hedge-stacked predictions
"could potentially create," "may eventually unlock"
Pick one. Each hedge cancels the next<\/p>\n
"Real\/actual" adjective inflation
"real on-chain tokenomics," "actual reward sustainability"
Drop the empty intensifier and add the specific claim. Carve-out: "real on-chain settlement, not bridged IOUs" is honest contrastive writing \u2014 the AI tell is the unsaid contrast<\/p>\n
Hashtag stuffing
15-tag trailing block: #AI #Crypto #Web3 #Innovation #FutureTech\u2026
2-3 specific tags max, or none. Empirical threshold: 6+ tags is near-universal in LLM social output, rare in thoughtful human posts<\/p>\n
Bullet lists of bare noun phrases
* Stable mining efficiency \/ Reliable pool connectivity \/ Optimized RandomX performance \/ Low failed share rates \/ Effective hardware utilization \/ Consistent thermal stability
Convert to prose, or rewrite each item as a full claim with a verb and a number. Carve-out: genuine list content (changelogs, parameter docs, ingredient lists) where bare NPs are correct<\/p>\n
\u6a21\u5f0f
\u6539\u524d
\u6539\u540e<\/p>\n
Unfilled placeholders
[Your Name] , [INSERT SOURCE] , 2025-XX-XX
Fill in with real content or delete \u2014 shipped placeholders are a near-definitive tell<\/p>\n
Chatbot citation markup
citeturn0search0 , oai_citation , contentReference[oaicite:0]
Strip the markup token entirely<\/p>\n
AI-tool URL parameters
utm_source=chatgpt.com , utm_source=copilot.com
Strip the tracking parameter; keep the URL if the link matters<\/p>\n
Speculative gap-filling
"maintains a low profile," "likely began his career"
Cut the guess, or replace with a sourced fact<\/p>\n
Hyphenated-pair overuse
"a high-quality, well-architected, future-proof solution"
Cut to the modifier that matters; no hyphen in predicate ("the report is high quality")<\/p>\n
Infomercial engagement hooks
"The catch?", "The kicker?", "Here's the thing."
Delete the hook, state the thing<\/p>\n
Vocabulary diversity (low TTR)
Narrow, repetitive word range across 200+ words
Broaden the what \u2014 name specific things, cite specific cases<\/p>\n
Self-labeling significance
"That last move is the contrarian one," "This is the interesting part"
Cut the label; let the explanation carry the weight, or reposition the item so it stands out on its own<\/p>\n
List-label periods
– **Intros.** Years of conferences and operator network. (also unbolded: – Intros. Years of… )
Use a colon, not a period, on a list label: – **Intros:** years of conferences and operator network.<\/p>\n
\u6a21\u5f0f
\u6539\u524d
\u6539\u540e<\/p>\n
Wall-of-text replies
A 4+ sentence, sub-150-word reply delivered as one unbroken paragraph with no line breaks \u2014 the shape LLMs default to in issue\/PR comments, chat, and DMs
Break at thought boundaries. One idea per line-group, the way a person actually types a reply<\/p>\n
Recap-flattery opener
"Thanks for all the legwork here \u2014 the migration script and the rollback plan you worked through are what made this possible."
Substance first. If thanks is warranted, one plain clause without the recap: "Thanks for the legwork \u2014 this looks right to me"<\/p>\n
\u6a21\u5f0f
\u6539\u524d
\u6539\u540e<\/p>\n
Lingering-attention claims
"The line I keep coming back to:", "I can't stop thinking about this," "this has been rattling around in my head all week"
Open on the thing itself. Carve-out: keep the frame when a reason follows ("I keep coming back to exit-voice because it predicts who quits")<\/p>\n
\u6a21\u5f0f
\u6539\u524d
\u6539\u540e<\/p>\n
Narrated candor
"Two caveats I would rather flag than let you discover later:", "I want to be upfront:"
State the caveats. Judgment-only: the same words carry real content in conflict-of-interest disclosure ("in the interest of full disclosure, I own shares in\u2026"), which a regex cannot separate from the empty frame<\/p>\n\u8bd5\u8bd5\u8fd9\u6837\u505a<\/h2>\n
\n
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