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快来看，n8n更新了！AI智能体架构模式：从原型到生产 一手编译

Avoid systemic failure by choosing the right AI agent architecture patterns. Evaluate control topology and blast radius to ensure stability at scale.
n8n
qimuai 发布于 
7 0
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快来看，n8n更新了！生产AI手册：评估与监控 一手编译

An AI workflow that works today can silently degrade tomorrow. This post covers how to evaluate AI performance with built-in metrics, set up LLM-as-a-Judge scoring, and build monit...
n8n
qimuai 发布于 
7 0
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快来看，n8n更新了！在微软应用中部署表现为团队成员的 n8n 智能体 一手编译

With the general availability of Microsoft Agent 365, n8n users can now build AI agents that show up inside the Microsoft 365 applications where people get work done. Now you can @...
n8n
qimuai 发布于 
8 0
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快来看，n8n更新了！使用n8n的MCP服务器构建和更新工作流 一手编译

Describe what you want from Claude, ChatGPT, or your IDE, and get a ready-to-run workflow in a few minutes, built directly in n8n. No more copy-paste, no more back-and-forth.
n8n
qimuai 发布于 
10 0
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快来看，n8n更新了！人在环中 vs. 人在环上：何时使用每种系统 一手编译

Learn the difference between human-in-the-loop versus human-on-the-loop architectures. Understand trade-offs among latency, auditability, and compliance.
n8n
qimuai 发布于 
18 0
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快来看，n8n更新了！工作流自动化与编排：规模化应用中的关键架构差异 一手编译

Workflow vs. orchestration for engineers: Define terms, avoid tool sprawl, and choose a production control plane with security and reliability.
n8n
qimuai 发布于 
28 0
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快来看，n8n更新了！编排与编舞：如何抉择——还是两者兼用？ 一手编译

Microservices orchestration vs. choreography: Compare sagas and see how security and observability shape failure modes, hybrid patterns, and decision matrix.
n8n
qimuai 发布于 
27 0
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快来看，n8n更新了！我们需要重新认识2026年的人工智能代理开发工具 一手编译

This article was written by Andrew Green, technical writer and industry analyst. We pay Andrew, but he refuses to write anything else but his own opinion. The big boys entered the ...
n8n
qimuai 发布于 
27 0
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快来看，n8n更新了！RAG系统架构：核心组件、实施方法、挑战与最佳实践 一手编译

Build a production-ready RAG system architecture. Understand core components, how to implement, challenges, and best practices.
n8n
qimuai 发布于 
33 0
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快来看，n8n更新了！生产AI指南：确定性步骤与AI步骤 一手编译

Using AI for every workflow step isn't just unnecessary — it's slower, costlier, and less reliable when rule-based logic fits. This post covers practical patterns for combining det...
n8n
qimuai 发布于 
27 0

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  • twitter-author qimuai 8 个月前

    We’re opening an office in Seattle

    Come join us!

    https://t.co/E9BY2xFU2j

  • twitter-author qimuai 8 个月前

    Get through PDFs effortlessly with Grok.

    Highlight any section and click "Explain" to have Grok help you understand it.

    Or click "Quote" to ask a specific question. https://t.co/epQt4Nypfw

  • twitter-author qimuai 8 个月前

    i have had the strangest experience reading this: i assume its all fake/bots, even though in this case i know codex growth is really strong and the trend here is real.

    i think there are a bunch of things going on: real people have picked up quirks of LLM-speak, the Extremely Online crowd drifts together in very correlated ways, the hype cycle has a very "it's so over/we're so back" extremism, optimization pressure from social platforms on juicing engagement and the related way that creator monetization works, other companies have astroturfed us so i'm extra sensitive to it, and a bunch more (including probably some bots).

    but the net effect is somehow AI twitter/AI reddit feels very fake in a way it really didnt a year or two ago.

  • twitter-author qimuai 8 个月前

    Jakub and Szymon:

    https://t.co/6qrVNp5Q3u

  • twitter-author qimuai 8 个月前

    有时候会觉得，写的这些东西都太浅显了，发到朋友圈会不会被加的大V们嘲笑？如果有这个想法，肯定是做不好自媒体的。

    除非大V们是你的目标用户，否则永远不要让其他无关的人左右你的选题。

    你应该只关注，你的目标用户需要什么。

  • twitter-author qimuai 8 个月前

    人类在学习新知识或解决新问题时，往往不是直接“改写大脑参数”，而是通过“记笔记”或“自我提醒”的方式，将经验和策略以显式的形式保留下来。

    例如，当你遇到某类问题时，会总结出“下次遇到类似情况可以这样做”的经验。这种方式更像是在不断编辑自己的“系统提示”，而不是每次都重新训练大脑。

  • twitter-author qimuai 8 个月前

    此时常有人问该选哪个模型。我的答案永远是：工作环境允许的最强模型。我们不是大规模使用AI，所以即使工程角度认为"贵"或"慢"，也要选最好的大脑。（唯一限制应是公司对敏感信息上传的规定。）

  • twitter-author qimuai 8 个月前

    成功与思考伙伴（人或机器）协作的关键在于取其精华去其糟粕

  • twitter-author qimuai 8 个月前

    引用David Lieb（YC合伙人、Google Photos创始人）的话："你的直觉是世界上最复杂的机器学习模型。"使用生成式AI时，用你的专业品味识别有价值的内容。

  • twitter-author qimuai 8 个月前