内容来源：https://www.geekwire.com/2025/using-ai-to-upgrade-your-personal-os-insights-from-an-executive-coach/

内容总结：

本周的GeekWire播客节目中，西雅图地区的企业高管教练、人工智能战略顾问兼作家马克·布里格斯（Mark Briggs）探讨了如何通过升级个人操作系统与人工智能协同，为现代职场人创造更多可支配时间。

布里格斯提出了一套实用方法论：首先建议将散落在各类笔记工具中的碎片信息整合至统一平台，通过AI技术构建个人知识库，实现智能关联分析与洞察挖掘。他特别指出可通过为AI助手设定特定身份角色（如模拟上司或同事的思维模式）来获取更具针对性的反馈。

在具体应用层面，人工智能可有效解决拖延症问题，自动生成会议纪要并识别提案中的潜在漏洞。节目中特别设置的"人机身份竞猜"环节，则通过对比真实职场人士与AI助手的简介展现了技术发展的现状。

关于AI是否会取代人类教练的争议，布里格斯强调：尽管智能应用层出不穷，但人类教练提供的直面交流与责任约束机制仍不可替代。

核心实践建议包括：

1. 建立集中式笔记系统，利用AI进行智能归纳与跨界联想
2. 在提案前使用AI进行"最明显反对意见"压力测试
3. 创建管理者思维模式的定制化GPT进行预案推演
4. 通过三个关键问题（决策内容、责任归属、知悉范围）构建会议问责机制
5. 定期使用AI分析工作记录，形成个人成长评估与年度战略规划
6. 推动团队用AI工具重构岗位说明，将重复性工作自动化，聚焦人类专属技能领域

（本期节目音频剪辑由科特·米尔顿完成，听众可通过各大播客平台订阅GeekWire获取完整内容）

中文翻译：

本周《极客线》播客聚焦：来自西雅图地区的企业教练、人工智能战略师兼作家马克·布里格斯详解为何需要升级你的"个人操作系统"，以及如何利用AI夺回更多可支配时间。

• 马克分享实用技巧：如何将零散笔记转化为实用知识库，把"数字垃圾抽屉"整合为能主动呈现洞见的AI工具
• 阐释通过为AI助手设定特定角色（无论是模拟上司或同事），如何影响其提供的反馈与指导方向
• 探讨如何借助AI克服拖延症、自动生成会议纪要、以及预判提案的"最明显反对意见"
• 趣味环节"真人还是机器"：挑战区分人类协作者与AI助手的个人简介

当AI介入企业教练领域，人类教练将何去何从？马克指出：虽然教练类应用已存在，但AI无法替代人与人目光交汇时产生的责任约束力。

欢迎在以下平台收听或订阅播客，并阅读节目对话精华与马克近期在《极客线》的专栏内容：

【行动指南】
集中管理笔记：告别在谷歌文档、印象笔记、纸质笔记本和便利贴之间零散记录。整合至统一平台可让AI进行摘要总结、观点串联，并挖掘单靠人力难以发现的深层洞见。

预判反对意见：在提交方案或分享创意前，先让AI分析可能遭遇的反对声音。马克借此方法发现盲点并提前完善工作，无需等待他人指正。

创建老板替身AI：无需等待管理者反馈，根据其风格和关注点训练定制GPT。用它模拟上司压力测试你的想法，获取堪比真实老板的即时反应。

AI生成会议纪要：会议结束时提出三问：我们决定了什么？谁负责？还需要通知谁？将答案共享给团队以明确责任，同时构建组织记忆库。

（相关阅读：《通过构建"领导力大语言模型"释放会议的真正价值》）

定期总结进展：在项目或考核周期结束时，让个人AI分析你的笔记和会议记录。马克用Notion汇总六个月客户笔记寻找"关键成长领域"，甚至用AI梳理全年工作以确定下年度发展机遇。

（相关阅读：《2025年笔记革命：为何新年是重构个人体系的最佳时机》）

挑战团队重写岗位说明：不止鼓励泛泛学习，而是设定具体使命：寻找AI工具自动化繁琐工作，让团队成员聚焦需要人类独特技能的核心业务。

（相关阅读：《网络峰会启示录：AI时代人类如何提供商业价值》）

欢迎通过Apple Podcasts、Spotify等播客平台订阅《极客线》。
音频剪辑：柯特·米尔顿。

英文来源：

This week on the GeekWire Podcast: Mark Briggs, an executive coach, AI strategist, and author from the Seattle region, explains why your “personal operating system” needs an upgrade, and how to use AI to get more time back in your day.

• Mark shares practical tips for turning scattered notes into a useful knowledge base, consolidating your “digital junk drawer” into AI-powered tools that can surface insights.
• He explains how giving AI assistants specific personas — whether it’s a stand-in for your boss or a colleague — can shape the kind of feedback and guidance they provide.
• We also talk about using AI to break procrastination, generate meeting follow-ups, and flag the “most obvious objection” to your ideas.
• And for fun, we play a round of “Bot or Not,” trying to tell the difference between bios of a human collaborator and an AI assistant.
  Wait a second, what happens to human executive coaches in the world of AI? Mark answers that question by pointing out that while coaching apps already exist, the accountability of looking another person in the eye is something AI can’t replace.
  Listen below, or subscribe in any podcast app, and keep reading for takeaways from the podcast discussion and Mark’s recent GeekWire columns.
  Put your notes in one place: Stop scattering thoughts across Google Docs, Evernote, paper notebooks, and sticky notes. Consolidating them into one platform lets AI summarize, connect ideas, and extract insights you’d never find on your own.
  Ask AI the “most obvious objection”: Before you send a proposal or share an idea, have AI tell you what the pushback will be. Mark uses this trick to see blind spots and strengthen his work before others point them out.
  Create a BossGPT: Instead of waiting for a manager’s feedback, train a custom GPT on their style and priorities. Use it as a stand-in to pressure-test your ideas and get instant responses that mirror how your real boss might react.
  Use AI to generate meeting follow-ups: At the end of a meeting, ask three questions: What did we decide? Who’s responsible? Who else needs to know? Share the answers with your team to create accountability and use the output from the meeting to build an institutional memory.
  Related: Leverage the true value of meetings with AI by building an ‘LLM for Leadership’
  Summarize your own progress: At the end of a project or a review period, ask your personal AI to analyze your collection of notes and meeting transcripts. Mark does this with six months of his client notes in Notion to find “key areas of growth” and has even asked his AI to summarize his entire year of work to identify opportunities for the next year.
  Related: Take note in 2025: Why the new year is the time to revolutionize your personal organization
  Challenge your team to rewrite their job descriptions: Instead of just encouraging general learning, give your team a specific mission: find AI tools to automate the tedious parts of their jobs so they can focus on work that requires uniquely human skills.
  Related: Reflections from Web Summit: In the AI era, what business value do humans provide?
  Subscribe to GeekWire in Apple Podcasts, Spotify, or wherever you listen.
  Audio editing by Curt Milton.