Your Browser Just Got a Brain: How BrowserOS Turns Non-Technical PMs into Automation Wizards

perfect_reader_profile:
  role: "Product Manager"
  technical_background: "Little to none (and that's perfectly fine!)"
  daily_struggles:
    - "Drowning in competitor research tabs"
    - "Copy-pasting user reviews for hours"
    - "Manually updating spreadsheets with market data"
    - "Feeling left behind in AI conversations"

  what_you_want:
    - "Automate boring tasks without learning to code"
    - "Sound smart when engineers talk about AI agents"
    - "Reclaim 10+ hours per week for actual strategy"
    - "Impress your boss with lightning-fast insights"

  you_will_learn:
    - "What 'agentic AI' actually means (in human words)"
    - "How to make your browser work for you while you sleep"
    - "Why DevOps matters to PMs (spoiler: it's about speed)"
    - "Real prompts you can copy-paste today"

time_audit_brutal_honesty:
  strategic_thinking: "15% of your week"
  actual_pm_value_add: "20% of your week"
  meetings_about_meetings: "25% of your week"
  copy_paste_research: "40% of your week 😱"

buzzword_translation_guide:
  what_they_say: "Agentic AI"
  what_it_means: "AI that can DO stuff, not just TELL you stuff"

  what_they_say: "Autonomous agents"
  what_it_means: "Digital robots that complete multi-step tasks"

  what_they_say: "MCP (Model Context Protocol)"
  what_it_means: "A way for AI to control your computer programs"

  what_they_say: "Local-first execution"
  what_it_means: "Everything happens on YOUR computer (not in some cloud)"

  what_they_say: "Open-source AGPL-3.0"
  what_it_means: "Free forever, code is public, safe to use at work"

manual_workflow:
  duration: "90 minutes every Monday"
  steps:
    - Open 15 competitor websites
    - Check for new features/blog posts
    - Screenshot anything interesting
    - Paste screenshots into Slack
    - Write summary email
    - Feel exhausted before 10 AM

📋 COPY THIS PROMPT:

"Visit these competitor websites: [paste your list].
For each site:
1. Check their blog for posts from the past 7 days
2. Screenshot any new feature announcements
3. Visit their pricing page and note any changes since last week
4. Check their careers page for new PM/Engineering roles

Create a summary with:
- One-sentence headline for each competitor
- Table of pricing changes (if any)
- Screenshots organized by company
- List of new job postings (could indicate roadmap)

Save everything as 'Competitor_Roundup_[TODAY'S DATE].md'"

review_analysis_hell:
  frequency: "Daily (or you fall behind)"
  process:
    - Open App Store
    - Scroll through reviews
    - Copy-paste interesting ones
    - Manually categorize: Bug, Feature Request, Praise, Complaint
    - Try to spot patterns
    - Update your Notion board

  actual_pain_points:
    - "Reviews disappear after you close the tab"
    - "Can't search by keyword easily"
    - "Competitor reviews? Forget it"
    - "Takes 2 hours to analyze 100 reviews"

📋 COPY THIS PROMPT:

"Go to our iOS app page and our top 3 competitor apps.

For each app, analyze the last 50 reviews:

1. Categorize into: Bugs, Feature Requests, UI Issues, Praise, Other
2. Count how many in each category
3. Extract the 5 most-mentioned issues
4. Identify any emerging patterns (e.g., 'crash on iOS 18')
5. Rate overall sentiment: Positive/Mixed/Negative

Create a comparison table showing:
- Our app vs. competitors
- What they're praising that we're not
- What we're doing better
- Urgent bugs to fix this sprint

Format as Markdown with emoji for readability 📊"

"From the Feature Request reviews, rank the top 10 by:
- Frequency mentioned
- User sentiment intensity (angry vs. nice)
- Competitor support (do rivals have it?)

Suggest which 3 we should roadmap first and why."

friday_panic_routine:
  trigger: "Boss asks for 'weekly metrics' at 4 PM Friday"
  your_response:
    - Cancel happy hour plans
    - Log into 8 different tools
    - Manually export CSVs
    - Update that Google Sheet from 2022
    - Realize half the formulas broke
    - Frantically make it "look good"
    - Email at 6:47 PM
    - Curse the product gods

📋 COPY THIS PROMPT:

"Create my weekly executive dashboard:

Data sources (log in with saved passwords):
- Google Analytics: Last 7 days traffic + conversion rate
- Mixpanel: Active users, retention rate
- Stripe: MRR, new customers, churn
- Zendesk: Ticket volume, avg response time
- GitHub: Deployments this week

Create a clean table with:
- Current week metrics
- Previous week for comparison
- % change (color green if up, red if down)
- One-sentence summary of biggest change

Save as 'Weekly_Dashboard_[DATE].md' and post to Slack #leadership"

market_research_spiral:
  initial_request: "Can you research the project management tool market?"
  what_actually_happens:
    - Open 40 tabs
    - Read 3 analyst reports
    - Check 15 competitor sites
    - Scan Reddit threads
    - Watch 5 YouTube reviews
    - Realize it's been 6 hours
    - Still don't have a clear answer

📋 COPY THIS PROMPT:

"Research the [YOUR MARKET] landscape:

1. Find the top 20 players by market share
2. For each, document:
   - Target customer (SMB, Mid-market, Enterprise)
   - Pricing model
   - Unique selling point
   - Latest funding round (if available)
   - Recent news/product launches

3. Search Reddit, ProductHunt, and G2 for:
   - Most common complaints about the category
   - Features users wish existed
   - Why people switch between tools

4. Create an Excel-friendly table I can sort/filter

5. Write a 5-bullet executive summary:
   - Market size/growth
   - Key trends
   - White space opportunities
   - Our competitive positioning
   - Top 3 threats

Include all source URLs so I can dig deeper later."

pre_meeting_chaos:
  scenario: "Customer advisory board call in 30 minutes"
  panic_mode:
    - "What did they request last quarter?"
    - "Where's that Salesforce note?"
    - "Did we fix that bug they reported?"
    - "What's their usage trend?"
    - Join call underprepared
    - Promise to "follow up after"

📋 COPY THIS PROMPT:

"Prep me for a meeting with [CUSTOMER NAME]:

1. Search our Slack for all mentions in the last 90 days
2. Find their Salesforce account and extract:
   - Contract value
   - Renewal date
   - Last 5 interactions
3. Check support tickets: Any open issues?
4. Look up their LinkedIn: Any company news?
5. Find our last meeting notes (Google Drive)

Create a one-page brief:
- Top 3 things to mention
- Any risks/concerns
- Upsell opportunities
- Questions to ask them

I need this in 10 minutes. Go!"

automation_roi:
  competitor_research: "65 hours/year"
  review_analysis: "416 hours/year"
  exec_dashboards: "156 hours/year"
  market_research: "~100 hours/year"
  meeting_prep: "260 hours/year"

  total_saved: "997 hours per year"

  converted_to_weeks: "24.9 weeks of 40-hour work"

  reality_check: "You just got 6 MONTHS of your life back"

devops_for_humans:
  what_it_is: "Making software go from idea → customer hands faster"
  why_it_matters: "Fast shipping = competitive advantage"
  pm_translation: "DevOps is why Spotify ships features daily and your company ships quarterly"

execution_models:
  cloud_tools:
    examples: ["ChatGPT web", "Perplexity", "Notion AI"]
    how_it_works: "Your data goes to their servers"
    pros: ["Works on any device", "No setup needed"]
    cons: ["They see your data", "Costs monthly fees", "Stops working if they shut down"]

  local_tools:
    examples: ["BrowserOS", "Local LLMs", "Ollama"]
    how_it_works: "Everything runs on YOUR laptop"
    pros: ["100% private", "Works offline", "You control it forever"]
    cons: ["Needs beefy computer", "Initial setup required"]

api_examples_for_pms:
  what_you_see:
    - "BrowserOS posts to Slack"
    - "Data appears in Google Sheets"
    - "Updates your Notion dashboard"

  what_actually_happens:
    - "BrowserOS uses Slack API"
    - "Calls Google Sheets API"
    - "Writes via Notion API"

  why_you_care:
    - "No more copy-paste between tools"
    - "Build workflows that span multiple apps"
    - "Everything stays in sync automatically"

open_source_for_pms:
  what_it_means:
    - "Code is public on GitHub"
    - "Anyone can inspect it for security"
    - "Free to use forever"
    - "Community can fix bugs"

  why_browseros_being_open_matters:
    security: "Your IT team can audit the code before approving it"
    privacy: "You can verify nothing phones home to sketchy servers"
    customization: "Your eng team can add features you need"
    risk_mitigation: "Even if the company shuts down, it keeps working"
    cost: "$0 forever (vs. $50/user/month for closed alternatives)"

infrastructure_models:
  traditional_saas:
    storage: "Their servers"
    when_laptop_dies: "No problem, log in from new device"
    cost: "$20-100/month per user"
    privacy: "They have all your data"

  browseros_model:
    storage: "Your laptop"
    when_laptop_dies: "Need to reinstall, but automations saved in Git"
    cost: "$0 for software + $20/month for OpenAI API"
    privacy: "You have all your data"

  hybrid_approach:
    storage: "Local + backed up to your Google Drive"
    when_laptop_dies: "Restore from backup in 10 minutes"
    cost: "$20/month for API"
    privacy: "You control where data goes"

✅ Save your automation scripts in:
   - A private GitHub repo (engineers will help you set this up)
   - Your Google Drive in a "BrowserOS Automations" folder
   - Notion with templates

✅ This way:
   - New team members can clone your automations
   - You can restore if your laptop explodes
   - Team can iterate on your best workflows

devops_mindset_for_pms:
  old_pm_thinking:
    - "I need to manually check this daily"
    - "Let me create a spreadsheet to track this"
    - "I'll set a reminder to follow up"

  devops_pm_thinking:
    - "How can I automate this check?"
    - "Can a script update this spreadsheet?"
    - "What if the system reminds me instead?"

  the_magic_question:
    - "If I have to do this more than twice, can I automate it?"

what_you_need:
  time: "10 minutes"
  technical_skill: "Can you install an app? Then you're qualified"
  equipment: "Any laptop (Mac, Windows, Linux all work)"
  cost: "$0 to try, $20/month if you keep using it"

1. Go to: https://github.com/browseros-ai/BrowserOS/releases
2. Download the version for your computer:
   - Mac: .dmg file
   - Windows: .exe file
   - Linux: .AppImage or .deb
3. Install like any other app (drag to Applications on Mac, run installer on Windows)
4. Open BrowserOS (looks just like Chrome—because it is!)

ai_provider_options:
  option_1_easiest:
    name: "OpenAI (ChatGPT)"
    cost: "$20/month"
    speed: "Fast"
    quality: "Great for most tasks"
    setup: "Just need an API key"

  option_2_alternative:
    name: "Anthropic (Claude)"
    cost: "$20/month"
    speed: "Fast"
    quality: "Better for complex analysis"
    setup: "Just need an API key"

  option_3_free:
    name: "Local model (Ollama)"
    cost: "$0 forever"
    speed: "Slower"
    quality: "Good enough for simple tasks"
    setup: "Requires 16GB RAM minimum"

1. In BrowserOS, click the ⚙️ Settings icon
2. Click "AI Provider"
3. Select "OpenAI"
4. Click "Get API Key" (takes you to OpenAI website)
5. Sign up, add payment method, copy the key that starts with "sk-..."
6. Paste into BrowserOS
7. Click "Test Connection" (should say "Connected!")

1. In BrowserOS, click the 💬 Chat icon (bottom right)
2. Copy-paste this prompt (replace the brackets):

---

"I need you to be my competitor intelligence assistant.

Every morning at 9 AM, do this:

1. Visit these three competitor websites:
   - [Competitor 1 URL]
   - [Competitor 2 URL]
   - [Competitor 3 URL]

2. For each site, check:
   - Homepage for any new banners or announcements
   - Blog for posts from the last 7 days
   - Pricing page (take screenshot)
   - Careers page (count open PM/Engineering roles)

3. Create a report in this format:

---
# Competitor Intelligence Report
Date: [Today's Date]

## [Competitor 1 Name]
- **New announcements:** [Yes/No - describe if yes]
- **Recent blog posts:** [Titles or 'None']
- **Pricing changes:** [Screenshot attached or 'No change']
- **Hiring activity:** [X open roles]

[Repeat for other 2 competitors]

## ⚠️ Alerts
[Any significant changes that need immediate attention]

## 📊 Trend Watch
[Patterns you're noticing across competitors]
---

4. Save the report as 'Competitor_Report_[DATE].md' in my Documents/PM_Research folder

5. Send me a Slack DM with just the Alerts section (if anything urgent)

Schedule this to run every weekday at 9 AM."

---

3. BrowserOS will ask: "Should I run this now as a test?"
4. Click "Yes, run test"
5. Watch the magic happen (3-5 minutes for first run)
6. Review the report it creates

under_the_hood:
  step_1: "BrowserOS reads your prompt"
  step_2: "AI breaks it into sub-tasks"
  step_3: "Browser navigates to each URL"
  step_4: "AI analyzes what it sees"
  step_5: "Takes screenshots where needed"
  step_6: "Compiles everything into report"
  step_7: "Saves file to your computer"
  step_8: "Sends Slack notification"

  you_did: "Typed English instructions"
  you_didnt_do: "Write any code"

common_first_time_issues:
  problem_1:
    symptom: "BrowserOS can't log into competitor sites"
    fix: "They might have bot protection. Add 'use stealth mode' to your prompt"

  problem_2:
    symptom: "Report is incomplete"
    fix: "Some sites load slowly. Add 'wait 10 seconds after each page load' to prompt"

  problem_3:
    symptom: "Screenshots are blank"
    fix: "Tell it to 'scroll down before taking screenshot' - content might be below fold"

  problem_4:
    symptom: "Slack notification didn't send"
    fix: "Need to connect Slack in Settings → Integrations first"

real_failures_from_real_pms:
  story_1:
    what_happened: "Asked BrowserOS to 'update pricing in our spreadsheet'"
    what_it_did: "Changed ALL prices to '$999' because it misunderstood"
    lesson: "Always test on copy, not production data"
    fix: "Specify exact cells/ranges to update"

  story_2:
    what_happened: "Told it to 'post competitor updates to Slack'"
    what_it_did: "Posted to #general instead of #product-intel"
    lesson: "Be explicit about WHERE things go"
    result: "CEO saw our competitive intel 😬"

  story_3:
    what_happened: "Automated review analysis of competitor app"
    what_it_did: "Accidentally left 1-star review on THEIR app (oops)"
    lesson: "Use 'read-only mode' for competitor research"
    aftermath: "Deleted review in panic, learned valuable lesson"

  story_4:
    what_happened: "Set up daily scraping of industry news site"
    what_it_did: "Made 1000+ requests in 10 minutes, got IP banned"
    lesson: "Add delays between requests (be respectful to servers)"
    fix: "Tell it to 'wait 5 seconds between each page visit'"

  story_5:
    what_happened: "Asked it to 'find user complaints on Twitter'"
    what_it_did: "Found complaints... about our CEO's personal tweets"
    lesson: "Be VERY specific about search parameters"
    result: "Learned way too much about boss's political views"

## Rule #1: Test in Sandbox Mode First

✅ DO: "Run this once manually so I can check the output"
❌ DON'T: "Schedule this to run 100 times tomorrow"

## Rule #2: Start Small, Scale Gradually

✅ DO: "Check 3 competitors to start"
❌ DON'T: "Scrape every SaaS website on G2 (47,000 sites)"

## Rule #3: Always Include a Human Check

✅ DO: "Create report and send me for approval before posting"
❌ DON'T: "Auto-post analysis directly to Twitter"

## Rule #4: Read-Only for Sensitive Stuff

✅ DO: "Read competitor pricing pages"
❌ DON'T: "Submit forms on competitor sites" (that's... aggressive)

## Rule #5: Keep a Paper Trail

✅ DO: "Save all reports with timestamps"
❌ DON'T: "Overwrite the same file every time"

dont_automate_these:
  financial_decisions:
    example: "Should we acquire this company?"
    why: "AI can research, but you need human judgment for $$"

  customer_communication:
    example: "Reply to support tickets"
    why: "Customers smell robotic responses from miles away"

  legal_compliance:
    example: "Check if feature violates GDPR"
    why: "Get a lawyer, not a bot"

  personnel_decisions:
    example: "Analyze team performance reviews"
    why: "AI has biases, humans have empathy"

  crisis_management:
    example: "Post apology for outage"
    why: "Read the room first, automate never"

pm_tools_evolution:
  wave_1_2015_2020:
    name: "The SaaS Explosion"
    examples: ["Jira", "Notion", "Figma", "Slack"]
    value: "Collaboration and organization"
    pm_role: "You use the tools"

  wave_2_2021_2023:
    name: "The AI Copilot Era"
    examples: ["ChatGPT", "GitHub Copilot", "Notion AI"]
    value: "AI assists with specific tasks"
    pm_role: "You + AI do work together"

  wave_3_2024_present:
    name: "The Agentic Era"
    examples: ["BrowserOS", "Devin AI", "Claude Projects"]
    value: "AI executes entire workflows autonomously"
    pm_role: "You orchestrate AI agents, focus on strategy"

career_implications:
  current_job_market:
    commodity_skill: "Can use ChatGPT"
    rare_skill: "Can build agentic workflows"
    unicorn_skill: "Can customize open-source AI tools for company needs"

  browseros_advantage:
    - "It's open source = you can truly master it"
    - "Code on GitHub = you can show your work in portfolio"
    - "Community-driven = you're learning cutting-edge stuff"

  resume_impact:
    before: "Proficient in competitive analysis"
    after: "Built automated intelligence system processing 1000+ data points weekly"

    before: "Experience with user research"
    after: "Developed AI-powered sentiment analysis pipeline for 10K+ reviews monthly"

## Why BrowserOS Being Open Matters to Your Career

### 1. **It Can't Be Taken Away**
Remember when Loom suddenly 5x'd their price? Or when Roam Research changed their model?  
Open source tools can't pull that. Even if BrowserOS the company shuts down tomorrow,  
the tool keeps working. Forever.

### 2. **You Can See How It Works**
Closed tools are black boxes. Open source? You (or your eng team) can read the code.  
Understanding how these systems work makes you a better product thinker.

### 3. **You Can Customize It**
Need a feature BrowserOS doesn't have? Your team can add it.  
Try asking Salesforce to add a custom feature. Good luck.

### 4. **Community = Free Learning**
- 6,100+ people have starred the GitHub repo
- Active Discord with automation templates
- Weekly "Share your best workflow" threads
- Free tutorials and examples

### 5. **It's the Future of Enterprise Software**
Companies are done paying $100/seat/month for tools they don't control.  
Open source + self-hosted = the new enterprise standard.

upcoming_features:
  q4_2025:
    - "Multi-agent collaboration (multiple AI agents working together)"
    - "Voice control ('Hey BrowserOS, check my competitors')"
    - "Visual workflow builder (no prompts needed, just drag-and-drop)"

  q1_2026:
    - "AI-powered ad blocker (blocks 99% of ads intelligently)"
    - "Automatic CRM updates (research customer, update Salesforce)"
    - "Meeting assistant (joins calls, takes notes, updates Jira)"

  q2_2026:
    - "Team collaboration (share automations with your PM team)"
    - "Marketplace for workflows (download proven automations)"
    - "Enterprise SSO and security features"

agentic_tools_landscape_2025:
  coding:
    - "Cursor: AI writes entire features"
    - "Devin: AI engineer that commits code to GitHub"

  design:
    - "Diagram: AI generates UI from descriptions"
    - "Figma AI: Auto-generates design systems"

  research:
    - "BrowserOS: Automated competitive intel"
    - "Perplexity Pro: AI research assistant"

  operations:
    - "Zapier Central: AI workflow automation"
    - "n8n: Open-source automation + AI"

  communication:
    - "Slack AI: Summarizes channels, drafts replies"
    - "Superhuman AI: Writes emails for you"

## Copy-Paste Prompts for Common Tasks

### Competitor Monitoring
"Visit [competitor URLs]. Check for blog posts from last 7 days,
pricing changes, and new features. Create comparison table."

### User Review Analysis
"Analyze last 100 reviews from our app and [competitor].
Categorize by: bugs, features, praise, complaints.
Rank top 5 feature requests by frequency."

### Market Research
"Research [market category]. Find top 20 players, their pricing,
target customers, and unique features. Create sortable table."

### Customer Prep
"Search our Slack and CRM for [customer name].
Summarize: recent issues, contract value, last 5 interactions.
One-page meeting brief."

### Weekly Dashboard
"Pull metrics from [your tools]. Create weekly report with:
current vs. previous week, % changes, biggest movers."

### Job Market Intelligence
"Check [competitor] careers pages for new PM/Engineering roles.
Could indicate roadmap. List roles and dates posted."

writing_good_prompts:
  be_specific:
    bad: "Research competitors"
    good: "Visit Notion, Asana, Monday.com. Check pricing pages. Screenshot each tier."

  include_format:
    bad: "Give me data"
    good: "Create Excel table with columns: Company, Price, Features, Target Customer"

  set_boundaries:
    bad: "Find user complaints"
    good: "Search Reddit r/product from last 30 days only. Find posts mentioning our product."

  add_quality_checks:
    bad: "Summarize reviews"
    good: "Summarize reviews. If sentiment is unclear, flag for manual review."

  specify_output:
    bad: "Tell me what you find"
    good: "Save as Markdown file in /Documents/PM_Research with today's date"

browseros_total_cost:
  software: "$0 (open source)"

  ai_provider_options:
    openai_api:
      cost_per_month: "$20"
      best_for: "Most tasks, fastest"

    anthropic_claude:
      cost_per_month: "$20"
      best_for: "Complex analysis, long documents"

    local_ollama:
      cost_per_month: "$0"
      best_for: "Privacy-critical work, unlimited usage"
      requirement: "16GB RAM minimum"

  actual_cost_comparison:
    browseros_annual: "$240/year (or $0 with local)"

    vs_alternatives:
      perplexity_pro: "$240/year (but closed source)"
      chatgpt_teams: "$300/year per user"
      hiring_va: "$12,000/year for 10 hours/week"
      your_time: "$78,000/year (if you make $150K)"

    roi: "Saves 500+ hours/year = $37,500 value at $75/hour"

common_issues_and_fixes:
  browser_crashes:
    symptoms: "BrowserOS closes unexpectedly"
    likely_cause: "Too many automations running simultaneously"
    fix: "Limit to 3 concurrent tasks, add 'wait 30 seconds between tasks'"

  inaccurate_data:
    symptoms: "Reports have wrong information"
    likely_cause: "Website changed layout, AI confused"
    fix: "Add 'Verify all numbers before reporting' to prompt"

  automation_stopped:
    symptoms: "Scheduled task didn't run"
    likely_cause: "Computer was asleep"
    fix: "In Settings → Power, enable 'Wake for automations'"

  api_limit_hit:
    symptoms: "Error: 'Rate limit exceeded'"
    likely_cause: "Using OpenAI free tier too heavily"
    fix: "Upgrade to paid ($20/mo) or switch to local model"

  cant_log_into_site:
    symptoms: "Automation fails at login"
    likely_cause: "2FA enabled"
    fix: "Add 'use saved session cookies' to prompt or login manually first"

## Before You Automate Sensitive Workflows

- [ ] Verify BrowserOS is running locally (Settings → Privacy)
- [ ] Never automate tasks involving customer credit cards
- [ ] Use read-only mode for competitor sites
- [ ] Enable logs for audit trail (Settings → Logging)
- [ ] Rotate API keys every 90 days
- [ ] Don't save passwords in prompts (use browser autofill)
- [ ] Test on dummy data before running on production
- [ ] Get IT/Security approval for company workflows
- [ ] Document what data is being collected
- [ ] Set up alerts for failed automations

ADVANCED PROMPT:

"I'm researching whether we should build [FEATURE NAME].

Phase 1: Market Research
- Find 10 competitors with this feature
- Extract: How they position it, pricing, user reviews
- Save as 'market_research.md'

Phase 2: User Demand
- Search Reddit, ProductHunt, Twitter for demand signals
- Count mentions in last 90 days
- Sentiment analysis (positive/negative ratio)
- Save as 'user_demand.csv'

Phase 3: Technical Feasibility
- Search GitHub for open-source implementations
- Find Stack Overflow questions about building it
- Check if libraries/APIs exist
- Save as 'tech_research.md'

Phase 4: Business Case
- Estimate market size (based on competitor revenue)
- Calculate our TAM (based on our user base)
- Project revenue impact (if 10% of users adopt)
- Create one-page summary with recommendation

Run all phases sequentially. Total time budget: 2 hours.
Alert me when complete."

TEAM AUTOMATION:

"Set up a shared competitive intelligence system:

1. Daily Monitoring (runs 6 AM):
   - Check top 5 competitors
   - Flag any changes
   - Post summary to #product-intel Slack

2. Weekly Deep Dive (runs Monday 8 AM):
   - Analyze feature launches from past week
   - Compare against our roadmap
   - Generate 'Should we respond?' recommendations
   - Post to Confluence page 'Weekly Competitive Review'

3. Monthly Executive Report (runs 1st of month):
   - Aggregate all weekly reports
   - Identify trends and patterns
   - Create executive summary (3 bullets max)
   - Email to VP Product

Give each team member view access to all reports.
Allow editing of competitor list."

AUTO-DASHBOARD PROMPT:

"Create a real-time PM dashboard:

Metrics to track:
- Google Analytics: Daily active users, conversion rate
- Mixpanel: Feature adoption rates (last 30 days)
- Stripe: MRR, churn rate, ARPU
- Zendesk: Ticket volume, response time, CSAT
- GitHub: Deployment frequency, bug count
- App Store: Rating trend (daily average)

Visualization:
- Create HTML dashboard with charts
- Update every 6 hours
- Color code: Green (improving), Red (declining), Yellow (flat)
- Add sparklines for trends

Alerts:
- Slack me if any metric drops >10% day-over-day
- Email weekly digest every Friday 4 PM
- Flag anomalies (sudden spikes/drops)

Save dashboard as 'pm_dashboard.html' that I can open in browser anytime."

month_1_mastery_roadmap:
  week_1_foundation:
    goal: "Get comfortable with basics"
    tasks:
      - "Install BrowserOS and complete setup"
      - "Run 3 sample automations from this guide"
      - "Join BrowserOS Discord community"
      - "Document what works and what doesn't"
    success_metric: "First successful automation running"

  week_2_daily_integration:
    goal: "Make it part of your routine"
    tasks:
      - "Set up morning competitor check (runs automatically)"
      - "Automate weekly review analysis"
      - "Replace one manual spreadsheet update"
      - "Share results with one colleague"
    success_metric: "Save 5+ hours this week"

  week_3_advanced:
    goal: "Build custom workflows"
    tasks:
      - "Create multi-step research automation"
      - "Connect to your team's Slack/Notion"
      - "Set up automated dashboard"
      - "Document your process for team"
    success_metric: "One complex workflow running smoothly"

  week_4_scale:
    goal: "Become the automation expert"
    tasks:
      - "Present ROI to your manager"
      - "Onboard 2 team members"
      - "Build team workflow library"
      - "Write internal case study"
    success_metric: "Team adoption + proven time savings"

essential_links:
  official:
    github: "https://github.com/browseros-ai/BrowserOS"
    docs: "Check GitHub repo README"
    discord: "Join via GitHub link"

  learning:
    youtube: "Search 'BrowserOS tutorial'"
    twitter: "Follow #BrowserOS hashtag"
    reddit: "r/BrowserOS (unofficial)"

  inspiration:
    workflow_gallery: "GitHub Discussions → Share Your Workflows"
    template_library: "Community prompt templates"
    case_studies: "Read issues/discussions for real examples"

pm_divergence:
  type_1_manual_pm:
    daily_routine:
      - "Arrive at 9 AM"
      - "Spend until noon on research"
      - "Meetings until 4 PM"
      - "Update spreadsheets until 7 PM"
      - "Strategic thinking: maybe 30 minutes if lucky"
    career_trajectory: "Busy but plateaued"

  type_2_agentic_pm:
    daily_routine:
      - "Arrive at 9 AM"
      - "Review overnight automation reports (15 min)"
      - "Meetings until 4 PM"
      - "Deep work on strategy until 6 PM"
      - "Strategic thinking: 2-3 hours daily"
    career_trajectory: "Promoted within 18 months"

## Right Now (5 minutes):
- [ ] Download BrowserOS
- [ ] Start installation while you finish reading

## Today (30 minutes):
- [ ] Complete setup
- [ ] Copy one prompt from this guide
- [ ] Run your first automation
- [ ] Share the result in your team Slack

## This Week (1 hour):
- [ ] Automate one recurring task
- [ ] Track time saved
- [ ] Refine the automation
- [ ] Document it for future you

## This Month:
- [ ] Save 10+ hours
- [ ] Show your manager the results
- [ ] Become the team's automation expert