★ Flagship Guide · Interview Prep June 4, 2026 · 12-min read

I prepped for 14 interviews this year. Each one took 2 hours — not 2 weeks.

Generic AI gives you generic answers. Five specialized workflows — each grounded in the company's own documents — generate insider-level prep that makes hiring managers think you already work there.

This is the exact system that landed 11 offers. Here's the free workflow that starts it all.

今年我准备了14场面试。每场只花2小时——不是2周。

通用AI给你通用答案。五个专业工作流——每个都基于公司自己的文档——生成内部人士级别的准备材料，让招聘经理以为你已经在那儿工作了。

这是帮我拿到11个offer的系统。以下是启动一切的免费工作流。

⚡ Featured Prompt — Your First Win in 30 Seconds ⚡ 精选提示词——30秒获得第一个成果

You are my Company Intelligence Agent. I'm interviewing at [COMPANY] for [ROLE]. Using only the sources I've uploaded, build a 1-page dossier covering: (1) Their top 3 strategic priorities this year, (2) The biggest challenge this team faces, (3) 5 insider-level questions I can ask that prove I did homework, (4) 3 things their competitors do better. Cite every claim to a specific source. Format: bold headers, bullet points, max 400 words.

你是我的公司情报代理。我正在面试[公司]的[职位]。仅使用我上传的资料源，构建一份1页的情报档案，涵盖：(1) 他们今年的3大战略优先事项，(2) 这个团队面临的最大挑战，(3) 5个能证明我做了功课的内行级问题，(4) 竞争对手做得更好的3件事。每个论点都要引用具体来源。格式：加粗标题、要点列表、最多400字。

Updated June 4, 2026 · Battle-tested in NotebookLM + Claude · 200+ iterations · 1 workflow free — full system in Sovereign OS 更新于2026年6月4日 · 在NotebookLM + Claude中实战测试 · 200+次迭代 · 1个工作流免费——完整系统在Sovereign OS中

TL;DR — 5 NotebookLM + Claude workflows for interview prep. Each follows Perceive → Plan → Act → Evaluate. Company Intelligence, STAR Stories, Technical Mock, Salary Negotiation, 30-60-90 Day Plan. 30 copy-paste prompts. Free workflow included. Battle-tested. Updated June 2026. 概要 — 5个NotebookLM + Claude面试准备工作流。每个遵循感知→规划→行动→评估闭环。公司情报、STAR故事、技术模拟、薪资谈判、30-60-90天计划。30个即用提示词。包含免费工作流。实战测试。2026年6月更新。

Updated June 2026. Built with Mimo in Xiaomi MiMo Orbit's 2026 100T Token Incentive Program. Maintained by AI super-users who teach interview prep workflows — no affiliate relationships. About this guide → 使用Mimo在小米MiMo Orbit 2026 100T代币激励计划中构建。由教授面试准备工作流的AI超级用户维护——无联盟关系。关于本指南 →

★ Why This Works ★ 为什么有效

One AI gives you averaged answers. Four specialized agents — each locked into one role — debate until they find what you actually need. 一个AI给你平均化的答案。四个专业代理——每个锁定一个角色——辩论直到找到你真正需要的。

2 hrs Per company prep 每家公司准备时间

11 Offers landed 获得的offer数

30 Copy-paste prompts 即用提示词

NotebookLM reads the company's actual documents — 10-K, press releases, Glassdoor — and synthesizes grounded intelligence you can't get from ChatGPT alone.
NotebookLM读取公司的真实文档——年报、新闻稿、Glassdoor评论——综合出你无法单独从ChatGPT获得的情报。
Claude coaches your delivery — tone, pacing, STAR format, closing statements — with the specificity of a \$500/hr career coach.
Claude训练你的表达——语调、节奏、STAR格式、结束语——具有\$500/小时职业教练的专业度。
The Perceive → Plan → Act → Evaluate loop means you never wing it. Every answer is grounded, rehearsed, and scored before you walk in.
感知→规划→行动→评估闭环意味着你永远不会临场发挥。每个答案在你走进面试间之前都已落地、排练、打分。
4 agents argue with each other so you get trade-offs, not consensus mush. The Devil's Advocate catches what the Coach misses.
4个代理互相辩论，所以你得到的是权衡取舍，而不是模糊的共识。魔鬼代言人能抓住教练遗漏的东西。

↓ 5 workflows below — 1 free, 25 prompts locked ↓ 下方5个工作流——1个免费，25个提示词锁定

The Framework: Perceive → Plan → Act → Evaluate 框架：感知 → 规划 → 行动 → 评估

PPAE

Perceive 感知

Upload company docs to NotebookLM. Let it read what humans skim. 将公司文档上传到NotebookLM。让它读人类略读的内容。

Plan 规划

Define your prep framework. Choose workflow. Set success criteria. 定义准备框架。选择工作流。设定成功标准。

Act 行动

Run the prompt. Generate dossiers, stories, mock interviews, scripts. 运行提示词。生成情报档案、故事、模拟面试、脚本。

Evaluate 评估

Score readiness. Find gaps. Iterate until 90%+ confidence. 评估准备度。找到差距。迭代直到90%+信心。

Workflow 1: Company Intelligence Dossier 工作流1：公司情报档案

FREE

Target: Any job seeker interviewing at a specific company. Scenario: Walk into any interview knowing more than insiders about their strategy, culture, and pain points.

目标用户：任何正在面试特定公司的求职者。核心场景：走进任何面试，比内部人士更了解他们的战略、文化和痛点。

👁️

Perceive 感知

Upload 10-K, press releases, Glassdoor, job description 上传年报、新闻稿、Glassdoor、职位描述

🗺️

Plan 规划

Intelligence framework: culture, strategy, pain points, competitors 情报框架：文化、战略、痛点、竞争对手

⚡

Act 行动

Generate 50-question prep doc + insider questions 生成50题准备文档+内行问题

✅

Evaluate 评估

Confidence score + gap analysis 信心评分+差距分析

Agent Roles

🔍 Strategic Analyst

Reads financial docs, identifies top priorities, revenue drivers, and strategic shifts. Data only — no opinions.

🏢 Culture Scanner

Reads Glassdoor, LinkedIn, team pages. Identifies management style, work-life balance signals, and red flags.

⚔️ Competitive Intel Officer

Maps competitors, market positioning, and areas where the company is losing ground. Threat-focused.

🎯 Interview Coach

Synthesizes all intel into 5 insider questions, 3 talking points, and a "why this company" script.

代理角色

🔍 战略分析师

阅读财务文档，识别首要优先事项、收入驱动因素和战略转变。仅数据——无意见。

🏢 文化扫描器

阅读Glassdoor、LinkedIn、团队页面。识别管理风格、工作生活平衡信号和危险信号。

⚔️ 竞争情报官

绘制竞争对手、市场定位和公司正在失去优势的领域。威胁导向。

🎯 面试教练

将所有情报综合为5个内行问题、3个谈话要点和一个"为什么选这家公司"的脚本。

Upload sources to NotebookLM

将资料源上传到NotebookLM

Upload: company 10-K/annual report, 3 recent press releases, Glassdoor reviews (top 20), job description, team LinkedIn profiles. NotebookLM handles up to 50 sources — use 5-10 for interview prep.

上传：公司年报、3篇最新新闻稿、Glassdoor评论（前20条）、职位描述、团队LinkedIn资料。NotebookLM最多处理50个资料源——面试准备用5-10个。

Run the Company Intelligence prompt in NotebookLM

在NotebookLM中运行公司情报提示词

Paste the free prompt below into NotebookLM's chat. It will ground every answer in your uploaded sources — no hallucinations, just cited facts.

将下方免费提示词粘贴到NotebookLM的聊天中。它会将每个答案基于你上传的资料源——无幻觉，只有引用的事实。

Transfer to Claude for coaching refinement

转移到Claude进行教练优化

Copy NotebookLM's output into Claude. Ask: "Based on this company intel, write my 2-minute 'why this company' answer. Make it sound human, not rehearsed."

将NotebookLM的输出复制到Claude。问："基于这份公司情报，写我的2分钟'为什么选这家公司'回答。让它听起来像真人说话，不像背稿。"

Score your readiness

评估你的准备度

Ask Claude: "Score my interview readiness 1-100 based on this prep. What gaps remain? What would a hiring manager notice I'm missing?"

问Claude："基于这份准备，给我的面试准备度打1-100分。还有什么差距？招聘经理会发现我缺什么？"

Iterate until 90+

迭代直到90+分

Close the gaps Claude identified. Re-score. When you hit 90+, you're ready. Average: 2 iterations.

弥补Claude指出的差距。重新打分。达到90+时，你就准备好了。平均：2次迭代。

💡 Token optimization: NotebookLM processes sources locally — no token cost for reading. Use Claude only for coaching/synthesis. Total cost per company: ~2 💡 Token optimization: NotebookLM processes sources locally — no token cost for reading. Use Claude only for coaching/synthesis. Total cost per company: ~2K tokens. 💡 Token优化：NotebookLM在本地处理资料源——读取无token成本。仅在教练/综合时使用Claude。每家公司总成本：约2K token。

Workflow 2: Behavioral STAR Story Arsenal 工作流2：行为面试STAR故事库

FREE PROMPT 免费提示词

Target: Mid-career professionals, career changers, MBA candidates. Scenario: Build 15 bulletproof STAR stories from your career, pre-mapped to any competency the interviewer might test.

目标用户：中年职业人士、转行者、MBA候选人。核心场景：从你的职业生涯中构建15个防弹STAR故事，预先映射到面试官可能测试的任何能力。

👁️

Perceive

Upload resume, performance reviews, project docs 上传简历、绩效评估、项目文档

🗺️

Plan

Map 8 core competencies: leadership, conflict, failure, innovation, teamwork, pressure, initiative, results 映射8项核心能力：领导力、冲突、失败、创新、团队合作、压力、主动性、成果

⚡

Act

Generate STAR stories with metrics, 3 length variants each 生成带指标的STAR故事，每个3种长度

✅

Evaluate

Weakness scoring + rewrite suggestions 弱点评分+重写建议

Agent Roles

📖 Story Architect

Extracts career moments, structures them into STAR format with compelling narrative arcs. Never fabricates — only restructures your real experience.

📊 Metrics Analyst

Identifies quantifiable results in each story. If a metric is vague, flags it and suggests how to estimate a defensible number.

🧠 Hiring Psychology Expert

Knows what interviewers actually listen for. Maps each story to competency frameworks used by FAANG, MBB, and Fortune 500.

😈 Devil's Advocate

Attacks each story like a tough interviewer. Finds plot holes, vague claims, and "so what?" moments. Forces you to strengthen weak spots.

代理角色

📖 故事架构师

提取职业关键时刻，将其构建为具有引人入胜叙事弧的STAR格式。从不编造——只重构你的真实经历。

📊 指标分析师

识别每个故事中的可量化结果。如果指标模糊，会标记并建议如何估算一个可辩护的数字。

🧠 招聘心理学专家

知道面试官真正在听什么。将每个故事映射到FAANG、MBB和财富500强使用的能力框架。

😈 魔鬼代言人

像严厉的面试官一样攻击每个故事。找到情节漏洞、模糊论点和"所以呢？"的时刻。迫使你加强弱点。

Upload your career documents

上传你的职业文档

Resume (current + 2 previous), last 2 performance reviews, 3 project summaries or case studies, any awards or recognition docs. The more raw material, the better the stories.

简历（当前+前2份）、最近2次绩效评估、3个项目摘要或案例研究、任何奖项或认可文档。原始材料越多，故事越好。

Run the STAR prompt in NotebookLM

在NotebookLM中运行STAR提示词

Paste the prompt below. NotebookLM will ground stories in your actual documents — no generic examples, only your real career moments with sourced details.

粘贴下方提示词。NotebookLM会将故事基于你的真实文档——无通用示例，只有你真实的带来源细节的职业时刻。

Transfer to Claude for devil's advocate review

转移到Claude进行魔鬼代言人审查

Ask Claude: "Act as a tough interviewer. For each STAR story I share, find the weakest point and tell me exactly how an interviewer would probe it. Then rewrite that section."

问Claude："充当严厉的面试官。对于我分享的每个STAR故事，找到最弱点并告诉我面试官会如何追问。然后重写该部分。"

Practice 3 variants per story

每个故事练习3种版本

30-second version (phone screen), 2-minute version (standard interview), 5-minute version (deep-dive follow-up). Know all three cold.

30秒版本（电话筛选）、2分钟版本（标准面试）、5分钟版本（深入追问）。三个版本都要烂熟于心。

Map to target job competencies

映射到目标职位能力

Ask Claude: "Map my 15 STAR stories to these competencies from the job description: [paste 5-8 competencies]. Which stories cover which? Where are the gaps?"

问Claude："将我的15个STAR故事映射到职位描述中的这些能力：[粘贴5-8项能力]。哪些故事覆盖哪些？哪里有差距？"

You are my Behavioral Interview Story Architect. I'll share my career background. For each story, use strict STAR format: Situation (1 sentence), Task (1 sentence), Action (3-5 bullet points with 'I' not 'we'), Result (quantified metric). Flag any story where the result is vague. Generate 3 versions: concise (30 sec), standard (2 min), deep-dive (5 min). Map each story to one competency: Leadership, Conflict Resolution, Failure Recovery, Innovation, Teamwork, Pressure Performance, Initiative, Results Delivery.

你是我的行为面试故事架构师。我会分享我的职业背景。对每个故事，使用严格的STAR格式：情境（1句话）、任务（1句话）、行动（3-5个要点，用'我'而非'我们'）、结果（量化指标）。标记任何结果模糊的故事。生成3个版本：简洁版（30秒）、标准版（2分钟）、深入版（5分钟）。将每个故事映射到一项能力：领导力、冲突解决、失败恢复、创新、团队合作、压力表现、主动性、成果交付。

💡 Pro tip: Upload the target job description as a source. NotebookLM will auto-map your stories to the exact competencies the company is testing for. 💡 专业提示：将目标职位描述作为资料源上传。NotebookLM会自动将你的故事映射到公司正在测试的 exact 能力。

Workflow 3: Technical Interview Simulator 工作流3：技术面试模拟器

FREE PROMPT 免费提示词

Target: Software engineers, data scientists, product managers, finance analysts. Scenario: Live mock interview with real-time scoring on every answer — clarity, correctness, communication, edge cases.

目标用户：软件工程师、数据科学家、产品经理、金融分析师。核心场景：实时模拟面试，对每个答案进行实时评分——清晰度、正确性、沟通能力、边界情况。

👁️

Perceive

Upload job description, tech stack, sample problems 上传职位描述、技术栈、样题

🗺️

Plan

Difficulty ladder: warm-up → medium → hard → system design 难度阶梯：热身→中等→困难→系统设计

⚡

Act

Run mock interview in real-time, one question at a time 实时运行模拟面试，一次一题

✅

Evaluate

Score each answer 1-10 on 4 dimensions 4个维度对每个答案打1-10分

Agent Roles

🎤 Interviewer

Asks questions in the style of the target company. Adapts difficulty based on your performance. Never gives hints unless stuck 3+ minutes.

🏗️ Solution Architect

After each answer, provides the optimal solution with time/space complexity. Shows the "ideal" answer so you can compare.

📢 Communication Coach

Critiques how you explained your approach. Did you think out loud? Did you clarify requirements first? Did you handle silence well?

📈 Scoring Engine

Scores each answer 1-10 on: Correctness, Clarity, Communication, Edge Cases. Tracks your average across the session.

代理角色

🎤 面试官

以目标公司的风格提问。根据你的表现调整难度。除非你卡住3分钟以上，否则不给提示。

🏗️ 解决方案架构师

每个答案后，提供最优解及时间/空间复杂度。展示"理想"答案供你比较。

📢 沟通教练

批评你解释思路的方式。你是否边想边说？你是否先澄清需求？你是否善用沉默？

📈 评分引擎

对每个答案在4个维度打1-10分：正确性、清晰度、沟通能力、边界情况。跟踪整个会话的平均分。

Upload technical prep materials

上传技术准备材料

Job description (required), tech stack documentation, 3-5 sample problems from Glassdoor/LeetCode tagged to this company, any previous interview notes.

职位描述（必需）、技术栈文档、3-5个来自Glassdoor/LeetCode的该公司标签样题、任何之前的面试笔记。

Start the mock interview in Claude

在Claude中开始模拟面试

Paste the prompt. Claude will ask one question at a time. Answer naturally — type your solution as you'd speak it. Claude waits for your answer before moving on.

粘贴提示词。Claude会一次问一个问题。自然回答——像你会说的那样输入你的解决方案。Claude会等你回答后再继续。

Receive 4-dimensional scoring after each answer

每个答案后获得4维评分

Correctness (1-10), Communication clarity (1-10), Optimal solution comparison, Specific gaps identified. Average across 5 questions = your readiness score.

正确性（1-10）、沟通清晰度（1-10）、最优解比较、具体差距识别。5题平均分=你的准备度分数。

Iterate on weak areas

针对薄弱环节迭代

If scoring below 7 on any dimension, ask Claude: "Give me 3 more questions focused on [weak area]. Same scoring rubric." Repeat until all dimensions hit 8+.

如果任何维度低于7分，问Claude："再给我3个针对[薄弱领域]的题目。同样的评分标准。"重复直到所有维度达到8+。

You are my Technical Interview Simulator. Act as a senior interviewer at [COMPANY]. Ask me one technical question at a time. After each answer: (1) Score 1-10 on correctness, (2) Score 1-10 on communication clarity, (3) Show the optimal solution with time/space complexity, (4) Tell me exactly what I missed. Start with a medium-difficulty question for [ROLE]. Wait for my answer before moving on. After 5 questions, give me an overall readiness score and the #1 thing to improve.

你是我的技术面试模拟器。充当[公司]的高级面试官。一次问我一个技术问题。每个答案后：(1) 正确性打1-10分，(2) 沟通清晰度打1-10分，(3) 展示带时间/空间复杂度的最优解，(4) 准确告诉我遗漏了什么。从[职位]的中等难度题目开始。等我回答后再继续。5题后，给我一个总体准备度分数和最需要改进的1件事。

Workflow 4: Salary Negotiation Intelligence 工作流4：薪资谈判情报

FREE PROMPT 免费提示词

Target: Anyone with an offer or expecting one. Scenario: Know your market value and negotiate with data, not gut feeling. Get scripts for every counter-offer scenario.

目标用户：任何已有offer或即将收到offer的人。核心场景：用数据而非直觉了解你的市场价值并谈判。为每种反offer场景准备脚本。

👁️

Perceive

Upload offer letter, market data, company funding info 上传offer letter、市场数据、公司融资信息

🗺️

Plan

Compensation anatomy: base, bonus, equity, benefits, growth 薪酬解剖：基本工资、奖金、股权、福利、增长

⚡

Act

Generate counter-offer scripts + email templates 生成反offer脚本+邮件模板

✅

Evaluate

Risk assessment: what to push on vs. accept 风险评估：该争取什么vs接受什么

Agent Roles

💰 Compensation Analyst

Researches market rates using Levels.fyi, Glassdoor, Blind data. Calculates your exact market percentile. Numbers only.

🤝 Negotiation Strategist

Identifies your strongest lever (competing offer? rare skill? timing?) and builds the negotiation sequence: what to ask for first, second, third.

👤 HR Insider Perspective

Thinks like the HR person across the table. What can they actually approve? What triggers escalation? What's the real flex budget?

⚖️ Risk Assessor

For each negotiation move, calculates: probability of success, risk of offer withdrawal, and expected value. Data-driven decisions only.

代理角色

💰 薪酬分析师

使用Levels.fyi、Glassdoor、Blind数据研究市场薪资。计算你的确切市场百分位。仅数字。

🤝 谈判策略师

识别你最强的杠杆（竞品offer？稀缺技能？时机？）并构建谈判顺序：先要什么、其次要什么、最后要什么。

👤 HR内部视角

像对面的HR一样思考。他们实际能批准什么？什么会触发升级？真正的弹性预算有多少？

⚖️ 风险评估师

对每个谈判动作计算：成功概率、offer撤回风险、期望值。仅数据驱动决策。

You are my Salary Negotiation Coach. I have an offer of [AMOUNT] at [COMPANY] for [ROLE] in [CITY]. My current salary is [AMOUNT]. Build a negotiation strategy: (1) What's the likely salary band for this role? (2) What's the single strongest lever I can pull? (3) Write my exact counter-offer script (what to say, word by word). (4) Write a follow-up email template. (5) What's my walk-away number? Be specific and bold. If I have a competing offer, factor that in.

你是我的薪资谈判教练。我有一个[公司][城市][职位]的offer，金额为[金额]。我目前薪资为[金额]。制定谈判策略：(1) 这个职位的可能薪资范围是多少？(2) 我能拉动的最强杠杆是什么？(3) 写出我确切的反offer脚本（逐字逐句该说什么）。(4) 写一封跟进邮件模板。(5) 我的放弃底线是多少？要具体且大胆。如果我有竞品offer，请考虑进去。

Workflow 5: 30-60-90 Day Impact Plan 工作流5：30-60-90天影响力计划

FREE PROMPT 免费提示词

Target: Final-round candidates, leadership roles, anyone asked "what would you do in your first 90 days?" Scenario: Deliver a plan so detailed the hiring manager thinks you already work there.

目标用户：终面候选人、领导岗位、任何被问到"你前90天会做什么？"的人。核心场景：交付一份详细到让招聘经理以为你已经在那儿工作的计划。

👁️

Perceive

Upload job description, team structure, company strategy docs 上传职位描述、团队结构、公司战略文档

🗺️

Plan

Framework: Learn → Contribute → Lead, mapped to 30/60/90 milestones 框架：学习→贡献→领导，映射到30/60/90里程碑

⚡

Act

Generate slide-deck-ready plan with specific deliverables 生成可直接做PPT的计划，含具体交付物

✅

Evaluate

Alignment score against job requirements 与职位要求的对齐评分

Agent Roles

🎯 Onboarding Strategist

Designs the learning plan: who to meet, what to read, which metrics to understand in the first 30 days. Realistic, not aspirational.

📊 KPI Architect

Defines measurable deliverables for days 31-60. Every item has a number attached. "Improve onboarding" becomes "Reduce new-hire ramp time from 12 to 8 weeks."

🗺️ Stakeholder Mapper

Identifies key people to meet, their priorities, and how to build alliances. Day 1 networking strategy included.

👔 Executive Coach

Crafts the "strategic initiative" pitch for days 61-90. Makes you sound like a leader, not a new hire. Executive language patterns included.

代理角色

🎯 入职策略师

设计学习计划：前30天该见谁、该读什么、该理解哪些指标。现实可行，而非空想。

📊 KPI架构师

为31-60天定义可衡量的交付物。每个项目都附带数字。"改善入职"变成"将新员工上手时间从12周缩短到8周。"

🗺️ 利益相关者地图

识别关键人物、他们的优先事项、如何建立联盟。包含第1天的社交策略。

👔 高管教练

为61-90天打造"战略倡议"演讲。让你听起来像领导者而非新人。包含高管语言模式。

You are my 30-60-90 Day Plan Builder. I'm interviewing for [ROLE] at [COMPANY]. Build a concrete plan: Days 1-30 (Learn): 5 specific things I'd do to understand the business, team, and customers. Days 31-60 (Contribute): 3 deliverables I'd ship with measurable outcomes. Days 61-90 (Lead): 1 strategic initiative I'd propose with projected impact. For each item, include: who I'd meet, what I'd measure, and what success looks like. Make it specific enough that a hiring manager thinks I already work there.

你是我的30-60-90天计划构建器。我正在面试[公司]的[职位]。构建一个具体计划：第1-30天（学习）：我会做的5件具体事情来了解业务、团队和客户。第31-60天（贡献）：我会交付的3个有可衡量结果的交付物。第61-90天（领导）：我会提出的1个有预期影响的战略倡议。对每个项目，包括：我会见谁、我会衡量什么、成功是什么样子。要具体到让招聘经理以为我 already 在那儿工作。

🔒 Unlock the Complete Interview Prep System 🔒 解锁完整面试准备系统

30 Killer Prompts + 5 Full Workflows + Agent Role Definitions 30个杀手级提示词 + 5个完整工作流 + 代理角色定义

Get all 30 prompts (5 shown free above, 25 premium-locked below), complete agent role system prompts, token optimization guides, and the Perceive-Plan-Act-Evaluate scoring rubrics. 获取全部30个提示词（上方免费展示5个，下方25个高级锁定），完整的代理角色系统提示词、token优化指南和感知-规划-行动-评估评分标准。

Sovereign OS: Full-Stack Augmentation Protocol — $49.99 Sovereign OS：全栈增强协议 — $49.99

Get Sovereign OS — $49.99 → 获取Sovereign OS — $49.99 →

                Or get individual categories:
                或获取单个分类：
            

CAT 3: Deep Research $19.99 CAT 4: Creative Content $19.99 CAT 5: Trinity Stack $19.99 CAT 6: Exam Protocol $19.99

30 Killer Prompts — Interview Prep Arsenal 30个杀手级提示词——面试准备武器库

5 FREE · 25 PREMIUM

Copy-paste ready. Each prompt is designed for NotebookLM + Claude synergy. Free prompts are fully visible. Premium prompts are locked — unlock with any purchase.

即用即复制。每个提示词为NotebookLM + Claude协同设计。免费提示词完全可见。高级提示词已锁定——购买任意产品即可解锁。

✅ Free Prompts (1-5)

✅ 免费提示词 (1-5)

P1 — The Interview Brain Dump: You are my interview prep strategist. I'm interviewing at [COMPANY] for [ROLE]. Ask me 10 rapid-fire questions about the company, role, and industry. For each question I get wrong or weak, give me the exact answer plus the source where I can verify it. Score my overall readiness 1-100.

P1 — 面试知识大考验：你是我的面试准备策略师。我正在面试[公司]的[职位]。快速问我10个关于公司、职位和行业的问题。每个我答错或答得弱的问题，给我准确答案加上可验证的来源。给我总体准备度打1-100分。

P2 — The Weakness Killer: You are a hiring manager who has rejected 500 candidates this year. I'll tell you my biggest professional weakness. Help me turn it into a strength using this formula: (1) Acknowledge the gap honestly, (2) Show the specific action I took, (3) Quantify the improvement, (4) Connect it to how I'd add value in this role. Make it sound human, not rehearsed.

P2 — 弱点杀手：你是今年拒绝了500个候选人的招聘经理。我会告诉你我最大的职业弱点。用这个公式帮我把它变成优势：(1) 诚实地承认差距，(2) 展示我采取的具体行动，(3) 量化改进，(4) 连接到我如何为这个职位增值。让它听起来像真人说话，不像背稿。

P3 — The Question Arsenal: Generate 15 questions I should ask in my interview at [COMPANY]. Categorize them: 5 for the hiring manager (strategy/team), 5 for the skip-level (vision/politics), 5 for peers (day-to-day/reality). For each question, explain why it signals intelligence. Never ask anything I could Google.

P3 — 问题武器库：生成15个我在[公司]面试中应该问的问题。分类：5个给招聘经理（战略/团队），5个给越级领导（愿景/政治），5个给同事（日常/现实）。每个问题解释为什么它显示智慧。绝不问任何我能Google到的东西。

P4 — The Closing Statement: Write my 60-second interview closing statement. Include: (1) Why I want THIS role at THIS company (not generic), (2) The #1 thing I'd do in my first 30 days, (3) What makes me different from other candidates, (4) A confident but not arrogant sign-off. Make it sound like a real human talking, not a LinkedIn post.

P4 — 结束语：写我的60秒面试结束语。包括：(1) 为什么我想要这家公司这个职位（不通用），(2) 我前30天会做的第一件事，(3) 什么让我与其他候选人不同，(4) 自信但不傲慢的结尾。让它听起来像真人说话，不像LinkedIn帖子。

P5 — The Thank-You Email: Write 3 versions of my post-interview thank-you email: (1) Formal (traditional industries), (2) Conversational (startups/tech), (3) Bold (when I know I crushed it). Each must: reference something specific from the conversation, add one new insight I didn't mention in the interview, and end with a clear next step. Under 150 words each.

P5 — 感谢邮件：写3个版本的面试后感谢邮件：(1) 正式版（传统行业），(2) 对话版（创业/科技），(3) 大胆版（当我确定表现很好时）。每个必须：引用面试中的具体内容，添加一个面试中没提到的新见解，以明确的下一步结束。每个不超过150字。

🔒 Premium Prompts (6-30) — Unlock with any purchase

🔒 高级提示词 (6-30) — 购买任意产品解锁

P6 — The "Tell Me About Yourself" Master — 30-second, 2-minute, 5-minute versions tailored to any roleP6 — "请介绍自己"大师 — 30秒、2分钟、5分钟版本，针对任何职位定制

P7 — The Gap Analysis Agent — Compare your resume to the job description, find every gap, build bridge narrativesP7 — 差距分析代理 — 将简历与职位描述对比，找到每个差距，构建桥接叙事

P8 — The Panel Interview Simulator — Simulate 4 interviewers with different styles (friendly, tough, distracted, technical)P8 — 面试小组模拟器 — 模拟4种不同风格的面试官（友好型、严厉型、分心型、技术型）

P9 — The "Why This Company?" Generator — Research-backed answer using their own annual report languageP9 — "为什么选这家公司？"生成器 — 用他们年报中的语言做研究支持的回答

P10 — The Failure Story Architect — Turn any failure into a growth narrative that hiring managers loveP10 — 失败故事架构师 — 将任何失败变成招聘经理喜欢的成长叙事

P11 — The Remote Interview Body Language Coach — Camera angle, eye contact, hand gestures, background checklistP11 — 远程面试肢体语言教练 — 相机角度、眼神接触、手势、背景检查清单

P12 — The Case Interview Framework Builder — McKinsey/BCG/Bain style frameworks with practice casesP12 — 案例面试框架构建器 — 麦肯锡/BCG/贝恩风格框架加练习案例

P13 — The Executive Presence Script — For leadership roles: tone, pacing, strategic language patternsP13 — 高管风范脚本 — 针对领导岗位：语调、节奏、战略语言模式

P14 — The Recruiter Screen Optimizer — 15-minute phone screen playbook with red-flag detectorsP14 — 招聘官筛选优化器 — 15分钟电话筛选剧本加危险信号探测器

P15 — The Offer Comparison Matrix — Compare 3 offers across 15 dimensions with weighted scoringP15 — Offer对比矩阵 — 在15个维度上比较3个offer，加权评分

P16 — The Relocation Negotiation Script — Housing, moving costs, timeline flexibility, remote hybrid termsP16 — 搬迁谈判脚本 — 住房、搬迁费用、时间灵活性、远程混合条件

P17 — The Career Pivot Narrative — When switching industries: the "bridge" story frameworkP17 — 职业转型叙事 — 转行时的"桥接"故事框架

P18 — The LinkedIn Profile Optimizer — Rewrite headline, about, experience to match target role keywordsP18 — LinkedIn档案优化器 — 重写标题、简介、经历以匹配目标职位关键词

P19 — The Referral Request Templates — Cold outreach to employees at target companies (5 scripts)P19 — 内推请求模板 — 冷联系目标公司员工（5个脚本）

P20 — The Interview Anxiety Protocol — Pre-interview grounding exercises + post-interview decompressionP20 — 面试焦虑协议 — 面试前扎根练习+面试后减压

P21 — The System Design Answer Framework — FAANG-style system design: the 7-step templateP21 — 系统设计答题框架 — FAANG风格系统设计：7步模板

P22 — The "Where Do You See Yourself?" Script — 3 frameworks depending on seniority levelP22 — "你未来规划是什么？"脚本 — 根据资历级别的3个框架

P23 — The Competitor Intelligence Brief — Before interviewing at Company X, know what Company Y is doingP23 — 竞争对手情报简报 — 面试X公司前，了解Y公司在做什么

P24 — The Glassdoor Review Analyzer — Extract patterns from reviews to predict your interview questionsP24 — Glassdoor评论分析器 — 从评论中提取模式以预测面试问题

P25 — The Equity Compensation Decoder — RSUs, options, vesting, cliff, refresh — explained with negotiation scriptsP25 — 股权薪酬解码器 — RSU、期权、归属期、cliff、刷新——含谈判脚本解释

P26 — The Internal Transfer Playbook — When you're already at the company and want to move teamsP26 — 内部转岗剧本 — 当你已在公司想换团队时

P27 — The Final Round Executive Script — When you meet the VP/C-suite: what changes vs. earlier roundsP27 — 终面高管脚本 — 见VP/C-suite时：与前几轮有何不同

P28 — The Interview Debrief Agent — After each interview: score yourself, find gaps, prep for next roundP28 — 面试复盘代理 — 每次面试后：自我评分、找差距、为下轮准备

P29 — The Reference Check Prep — What your references will be asked + how to brief themP29 — 背调准备 — 推荐人会被问什么+如何给他们做简报

P30 — The "Do You Have Questions?" Power Play — 20 questions that make interviewers remember youP30 — "你有什么问题？"绝杀 — 20个让面试官记住你的问题

Unlock All 30 Prompts — $49.99 → 解锁全部30个提示词 — $49.99 →

Frequently Asked Questions 常见问题

FAQ

Can NotebookLM really help with interview prep? NotebookLM真的能帮助面试准备吗？

Yes. NotebookLM excels at synthesizing company documents (10-K, press releases, Glassdoor) into structured intelligence. Combined with Claude for coaching and mock interviews, it creates a prep system that replaces $500/hr career coaches. The key difference: NotebookLM grounds every answer in your uploaded sources — no hallucinations. 是的。NotebookLM擅长将公司文档（年报、新闻稿、Glassdoor）综合为结构化情报。与Claude的教练和模拟面试结合，它创建了一个替代$500/小时职业教练的准备系统。关键区别：NotebookLM将每个答案基于你上传的资料源——无幻觉。

How much time does this save? 这能节省多少时间？

Average users report 2 hours of AI-assisted prep replaces 2 weeks of manual research. The workflows are designed for speed: upload sources, run the prompt, iterate once, ship. The bottleneck is no longer research — it's your practice time. 用户平均反馈：2小时AI辅助准备替代2周手动研究。工作流为速度设计：上传资料源、运行提示词、迭代一次、完成。瓶颈不再是研究——而是你的练习时间。

Do I need a paid NotebookLM account? 我需要付费NotebookLM账户吗？

No. NotebookLM's free tier handles most interview prep workflows. Claude's free tier works for basic coaching. For heavy usage, Claude Pro ($20/mo) is recommended for longer conversations and higher rate limits. 不需要。NotebookLM的免费版可处理大多数面试准备工作流。Claude的免费版可用于基础教练。重度使用建议Claude Pro（$20/月），以获得更长对话和更高频率限制。

Which is better for interview prep — NotebookLM or Claude? 面试准备用NotebookLM还是Claude更好？

They're complementary, not competing. NotebookLM reads and synthesizes your uploaded documents (company reports, resumes, job descriptions). Claude coaches, scores, and generates scripts. Use NotebookLM for research, Claude for rehearsal. Together they're 10× more effective than either alone. 它们是互补的，不是竞争关系。NotebookLM读取和综合你上传的文档（公司报告、简历、职位描述）。Claude进行教练、评分和生成脚本。用NotebookLM做研究，用Claude做排练。两者结合比单独使用任何一种有效10倍。

Does this work for non-tech interviews? 这对非技术面试有效吗？

Absolutely. The Company Intelligence, STAR Stories, Salary Negotiation, and 30-60-90 Day Plan workflows work for any industry — finance, consulting, healthcare, marketing, government, education. The Technical Interview Simulator is the only tech-specific workflow. 绝对有效。公司情报、STAR故事、薪资谈判和30-60-90天计划工作流适用于任何行业——金融、咨询、医疗、营销、政府、教育。技术面试模拟器是唯一针对技术的工作流。

What's the difference between the free prompts and Sovereign OS? 免费提示词和Sovereign OS有什么区别？

Free prompts (5) give you one prompt per workflow. Sovereign OS ($49.99) unlocks all 30 prompts, complete agent role system prompts, token optimization guides, the PPAE scoring rubrics, and 1,000+ additional prompts across all categories (research, content, multi-AI, test prep). 免费提示词（5个）每个工作流给一个提示词。Sovereign OS（$49.99）解锁全部30个提示词、完整的代理角色系统提示词、token优化指南、PPAE评分标准，以及所有分类（研究、内容、多AI、考试准备）的1000+额外提示词。

Can I use this with ChatGPT instead of Claude? 我可以用ChatGPT代替Claude吗？

Yes. Claude is recommended for nuanced coaching and longer conversations, but ChatGPT works for all workflows. For Custom GPTs, ChatGPT is actually better — you can save each agent role as a separate Custom GPT. Grok also works well for the Devil's Advocate role. 可以。Claude推荐用于细致教练和更长对话，但ChatGPT适用于所有工作流。对于Custom GPT，ChatGPT实际上更好——你可以将每个代理角色保存为单独的Custom GPT。Grok也适用于魔鬼代言人角色。

How do I cite this guide? 如何引用本指南？

notebooklm-guide.com. "NotebookLM Interview Prep: 5 Workflows + 30 Killer Prompts." Updated June 2026. Built with Mimo in Xiaomi MiMo Orbit's 2026 100T Token Incentive Program. notebooklm-guide.com. "NotebookLM面试准备：5个工作流+30个杀手级提示词。" 2026年6月更新。使用Mimo在小米MiMo Orbit 2026 100T代币激励计划中构建。

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CAT 2: Studio Outputs & Slide Decks $19.99 · Visual Architecture → CAT 3: Deep Research Protocol $19.99 · High-Density Knowledge Engine → CAT 4: Creative Content Engine $19.99 · Multidimensional Content OS → CAT 5: Trinity Stack $19.99 · Multi-Agent Orchestration → CAT 6: Licensure & Exam Protocol $19.99 · High-Stakes Exam Prep → AI Round Table System Free Guide · Multi-Agent Advisory Board →