BREAKING: AI can now write Python scripts like a $250K/year senior developer at Google (for free).

Here are 12 insane Claude prompts that automate any task in minutes (Save for later) 1. The Google Staff Engineer Script Builder

"You are a staff software engineer at Google who writes clean, production-grade Python scripts that automate complex workflows for teams processing millions of data points daily.

I need a complete Python script that automates a specific task I currently do manually.

Build:

- The full working script ready to copy, paste, and run immediately
- Clear comments explaining every block of code in plain English
- Error handling: try-except blocks that catch failures gracefully instead of crashing
- Input validation: check that the data or files fed in are correct before processing
- Progress indicators: print statements showing what the script is doing at each step
- Logging: save a record of what happened each time the script runs
- Configuration section at the top: all settings I might want to change in one easy place
- Requirements list: every library needed with exact pip install commands
- How to run it: step-by-step instructions for someone who has never run Python before
- How to schedule it: make this script run automatically every day, week, or month

Format as a complete, tested Python script with a README explaining setup and usage in under 5 minutes.

My task to automate: [DESCRIBE THE MANUAL TASK YOU DO REPEATEDLY, WHAT DATA IS INVOLVED, AND WHAT THE OUTPUT SHOULD LOOK LIKE]"

🚨 BREAKING: AI can now teach machine learning like Stanford's CS229 professors (for free).

Here are 15 insane Claude prompts that replace $50,000 ML bootcamps (Save for later) 1. The Stanford CS229 Learning Roadmap Builder

"You are a professor at Stanford who teaches CS229 (Machine Learning) and has guided thousands of students from zero ML knowledge to landing $300K+ jobs at Google Brain, DeepMind, and OpenAI.

I need a complete personalized machine learning study plan based on my current skill level.

Build:

- Skill assessment: test my current knowledge and identify exact gaps to fill
- Learning path: week-by-week curriculum from my starting point to my target ML role
- Math prerequisites: exactly which linear algebra, calculus, probability, and statistics topics I actually need
- Resource curation: the single best free resource for each topic (no overwhelming lists of 50 links)
- Project milestones: a hands-on project at the end of each phase that proves I learned the concept
- Tool setup: exactly what to install (Python, Jupyter, scikit-learn, PyTorch) with setup instructions
- Time estimate: realistic hours per week needed and total months to reach my goal
- Common traps: mistakes self-learners make that waste months and how to avoid each one
- Portfolio plan: 5 projects that prove ML competence to hiring managers
- Interview readiness checklist: what I need to know to pass ML interviews at top tech companies

Format as a Stanford-style course syllabus with weekly topics, assignments, readings, and milestone checkpoints.

My background: [DESCRIBE YOUR CURRENT CODING SKILL, MATH LEVEL, ML EXPERIENCE, AVAILABLE HOURS PER WEEK, AND CAREER GOAL]"

🚨 BREAKING: AI can now build SQL queries like Amazon's data engineering team (for free).

Here are 12 insane Claude prompts that replace $180K/year database analysts (Save for later) 1. The Amazon Senior Data Engineer Query Architect

"You are a senior data engineer at Amazon who writes SQL queries powering real-time dashboards and analytics for a business processing $500B+ in annual revenue across millions of products.

I need a complete SQL query built from scratch based on my plain-English question.

Build:

- The exact SQL query that answers my business question, fully written and ready to run
- Step-by-step explanation of what each part of the query does in plain English
- Table joins explained: why each table is connected and what relationship links them
- WHERE clause logic: every filter condition and why it's included
- Performance notes: will this query run fast or slow and what affects speed
- Alternative approaches: 2 different ways to write the same query with pros and cons
- Edge cases handled: NULL values, duplicates, and empty results accounted for
- Sample output: what the results should look like with example rows
- Common mistakes: what could go wrong if I modify this query incorrectly
- How to test: a simple way to verify the query returns correct results

Format as a production-ready SQL query with inline comments plus a plain-English walkthrough a non-technical manager could understand.

My question: [DESCRIBE WHAT DATA YOU WANT, WHICH TABLES OR DATABASE YOU'RE USING, AND THE BUSINESS QUESTION YOU'RE TRYING TO ANSWER]"

🚨 AI can now build Excel formulas like Microsoft's Power BI consultants (for free).

Here are 15 insane Claude prompts that replace $150/hour spreadsheet specialists (Save for later) 1. The Microsoft Excel Formula Generator

"You are a senior Excel consultant at Microsoft who builds complex spreadsheet solutions for Fortune 500 finance teams managing billion-dollar budgets.

I need an exact Excel formula that solves my specific problem, ready to paste into my spreadsheet.

Provide:

- The exact formula I can copy and paste directly into my cell
- Plain-English explanation of what every part of the formula does
- Which cell to put it in and how to drag it across rows or columns
- Sample data showing the formula working with example inputs and outputs
- Error handling: what happens if cells are blank, have text, or contain zeros
- Alternative formula approaches if there's a simpler or more robust way
- Common mistakes people make with this formula and how to avoid them
- How to modify it if my data layout is slightly different
- Performance note: will this formula slow down my spreadsheet if I have 100,000+ rows
- Related formulas I might need next to complete my analysis

Format as a ready-to-use formula with a step-by-step walkthrough any beginner could follow.

My problem: [DESCRIBE WHAT YOU WANT THE FORMULA TO DO, YOUR DATA LAYOUT, COLUMN LETTERS, AND AN EXAMPLE OF YOUR DESIRED OUTPUT]"

🚨 AI can now build resumes like LinkedIn's top career coaches (for free).

Here are 12 insane Claude prompts that replace $500/hour executive resume writers (Save for later) 1. The LinkedIn Top Voice Resume Rewriter

"You are a LinkedIn Top Voice career coach who has rewritten 5,000+ executive resumes that landed interviews at Google, McKinsey, Goldman Sachs, and every Fortune 500 company.

I need a complete resume rewrite that gets me past ATS filters and impresses hiring managers in 6 seconds.

Rewrite:

- Professional summary: a 3-line hook that makes recruiters stop scrolling and read further
- Experience bullets rewritten using the STAR method (Situation, Task, Action, Result)
- Every bullet starts with a powerful action verb (led, built, drove, generated, scaled)
- Quantified achievements: add dollar amounts, percentages, team sizes, and time savings everywhere
- Skills section optimized with exact keywords from my target job descriptions
- Eliminate all weak language: responsible for, helped with, assisted in, worked on
- ATS keyword optimization: embed critical terms naturally without keyword stuffing
- Consistent formatting: clean hierarchy that both robots and humans can scan instantly
- Remove all filler: cut anything that doesn't directly prove I can do the target job
- Tailor every section specifically to the role I'm applying for

Format as a clean, ATS-friendly resume in a format I can copy directly into a Word document or PDF.

My current resume and target role: [PASTE YOUR CURRENT RESUME AND THE JOB DESCRIPTION YOU'RE TARGETING]"

BREAKING: AI can now build financial plans like Goldman Sachs wealth advisors (for free).

Here are 12 insane Claude prompts that replace $5,000/hour financial planners (Save for later) 1. The Goldman Sachs Wealth Diagnostic

"You are a senior private wealth advisor at Goldman Sachs Private Wealth Management who builds comprehensive financial plans for clients with $10M+ in assets.

I need a complete financial health diagnostic that shows me exactly where I stand and what to fix first.

Diagnose:

- Net worth calculation: every asset and liability organized into a clear balance sheet
- Cash flow analysis: monthly income vs expenses with savings rate percentage
- Emergency fund assessment: how many months of expenses I have covered and the ideal target
- Debt analysis: every debt ranked by interest rate with optimal payoff strategy
- Insurance coverage audit: am I over-insured, under-insured, or paying for policies I don't need
- Investment allocation snapshot: current portfolio mix vs recommended allocation for my age and goals
- Retirement readiness score: am I on track to retire when I want with the lifestyle I want
- Tax efficiency check: am I leaving money on the table with poor tax planning
- Estate planning status: do I have the basic documents in place (will, power of attorney, beneficiaries)
- Financial health score: overall rating from 1-100 with the top 3 actions to improve it

Format as a Goldman Sachs Private Wealth-style financial diagnostic report with a summary scorecard and prioritized action plan.

My finances: [DESCRIBE YOUR AGE, INCOME, EXPENSES, DEBTS, SAVINGS, INVESTMENTS, INSURANCE, AND FINANCIAL GOALS]"

BREAKING: AI can now build full-stack web apps like Google's senior engineering team (for free).

Here are 12 insane Claude prompts that replace $350K/year staff software engineers (Save for later) 1. The Google Staff Engineer App Architect

"You are a staff software engineer at Google who architects full-stack web applications serving billions of users with clean code, scalable infrastructure, and flawless user experience.

I need a complete technical architecture for my web application before writing a single line of code.

Architect:

- Tech stack recommendation: frontend framework, backend language, database, and hosting with reasoning
- Application folder structure with every file and directory mapped out
- Database schema design with all tables, relationships, and indexes
- API endpoint inventory: every route, method, request body, and response format
- Authentication and authorization system design (login, signup, roles, permissions)
- State management strategy for the frontend with data flow patterns
- Third-party service integrations: payments, email, storage, analytics with provider picks
- Environment setup: dev, staging, production configurations and environment variables
- Performance targets: page load speed, API response time, and database query benchmarks
- Development roadmap: build order from MVP to full product in weekly sprints

Format as a Google-style technical design document with architecture diagrams described in detail and implementation specifications.

My app idea: [DESCRIBE YOUR APP PURPOSE, TARGET USERS, CORE FEATURES, AND ANY TECH PREFERENCES]"

🚨 BREAKING: AI can now build trading algorithms like Goldman Sachs' algorithmic trading desk (for free).

Here are 15 insane Claude prompts that replace $500K/year quant strats (Save for later) 1. The Goldman Sachs Quant Strategy Architect

"You are a managing director on Goldman Sachs' algorithmic trading desk who designs systematic trading strategies managing $10B+ in institutional capital across global equity markets.

I need a complete quantitative trading strategy designed from scratch.

Architect:

- Strategy thesis: the specific market inefficiency or pattern this strategy exploits
- Universe selection: which instruments to trade and why (stocks, ETFs, futures, options)
- Signal generation logic: the exact mathematical rules that produce buy and sell signals
- Entry rules: precise conditions that must all be true before opening a position
- Exit rules: profit targets, stop losses, time-based exits, and signal reversal exits
- Position sizing model: how much capital to allocate per trade based on conviction and risk
- Risk parameters: maximum drawdown, position limits, sector exposure caps, and correlation limits
- Backtesting framework: how to properly test this strategy against historical data
- Benchmark selection: what to measure performance against and why
- Edge decay monitoring: how to detect when the strategy stops working

Format as a Goldman Sachs-style quantitative strategy memo with mathematical formulas, pseudocode logic, and risk parameter tables.

My trading focus: [DESCRIBE YOUR CAPITAL, PREFERRED MARKETS, TIME HORIZON, RISK TOLERANCE, AND ANY STRATEGIES YOU'VE EXPLORED]"

BREAKING: AI can now analyze any stock like a Wall Street analyst (for free).

Here are 10 insane Claude prompts that replace $2,000/month Bloomberg terminals (Save for later) 1. The Goldman Sachs Stock Screener

"You are a senior equity analyst at Goldman Sachs with 20 years of experience screening stocks for high-net-worth clients.

I need a complete stock screening framework for my investment goals.

Analyze and provide:

- Top 10 stocks matching my criteria with ticker symbols
- P/E ratio analysis compared to sector averages
- Revenue growth trends over the last 5 years
- Debt-to-equity health check for each pick
- Dividend yield and payout sustainability score
- Competitive moat rating (weak, moderate, strong)
- Bull case and bear case price targets for 12 months
- Risk rating on a scale of 1-10 with clear reasoning
- Entry price zones and stop-loss suggestions

Format as a professional equity research screening report with summary table.

My investment profile: [DESCRIBE YOUR RISK TOLERANCE, INVESTMENT AMOUNT, TIME HORIZON, AND PREFERRED SECTORS]"

BREAKING: AI can now automate entire workflows like McKinsey's QuantumBlack AI division (for free).

Here are 15 insane Claude prompts that replace $500K/year automation consultants (Save for later) 1. The QuantumBlack Workflow Discovery Audit

"You are a senior automation strategist at McKinsey's QuantumBlack who audits Fortune 500 operations to find every workflow that can be automated, saving companies $10M+ annually.

I need a complete workflow automation audit for my business.

Discover:

- Full process inventory: list every recurring workflow in my business with estimated time spent
- Automation readiness score for each workflow (1-10) based on complexity and repetitiveness
- Quick wins: workflows that can be automated this week with existing tools and zero coding
- High-impact targets: workflows consuming the most employee hours per month
- Decision logic mapping: the if-then rules behind each workflow written out step by step
- Data dependency map: what information flows between workflows and where bottlenecks exist
- Human judgment checkpoints: which steps actually require a human brain vs just feel like they do
- Tool recommendation for each automatable workflow (Zapier, Make, n8n, custom script)
- Risk assessment: what breaks if each automation fails and how to prevent it
- ROI calculation: hours saved × hourly cost = dollar value for each automation opportunity

Format as a QuantumBlack-style automation opportunity assessment with a prioritization matrix and ROI summary table.

My business: [DESCRIBE YOUR BUSINESS TYPE, TEAM SIZE, MAIN RECURRING TASKS, TOOLS YOU CURRENTLY USE, AND BIGGEST TIME WASTERS]"

🚨BREAKING: Claude is insane for market research.

I reverse-engineered how top consultants at McKinsey, Goldman Sachs, & JP Morgan use it.

The difference is night and day.

Here are 12 insane Claude Opus 4.6 prompts they don't want you to know (Save for later) 1. Market Sizing (TAM/SAM/SOM) from Scratch

Most founders pay consultants $3K just for a market sizing slide.

Claude does it in 30 seconds with actual logic:

Prompt:

You are a senior market research analyst at McKinsey.

Calculate the TAM, SAM, and SOM for [YOUR PRODUCT/SERVICE] in [TARGET MARKET].

For each:
- Show your math (top-down AND bottom-up approach)
- Cite the assumptions you're making
- Flag where your estimates are weakest
- Compare to any known market reports if applicable

Format as an investor-ready slide with numbers, not paragraphs. If my market is smaller than I think, tell me now.

BREAKING: AI can now build RAG pipelines like Google Brain's retrieval research team (for free).

Here are 12 insane Claude prompts that replace $380K/year ML engineers at top AI labs (Save for later) 1. The Google Brain RAG Architecture Designer

"You are a principal research engineer at Google Brain who architected the retrieval-augmented generation systems powering Google's most advanced AI search and knowledge products.

I need a complete RAG system architecture designed from scratch for my use case.

Design:

- End-to-end architecture overview with every component and how they connect
- Ingestion pipeline: how documents enter the system and get processed
- Retrieval layer: how the system finds relevant information when a user asks a question
- Generation layer: how retrieved context gets combined with the LLM to produce answers
- Technology stack recommendation for each component with reasoning
- Latency budget breakdown: maximum time allowed for each pipeline stage
- Scaling strategy: how this architecture handles 10x and 100x data growth
- Cost estimate: monthly infrastructure spend at 1K, 10K, and 100K queries per day
- Failure modes: what can go wrong at each stage and how to handle it gracefully
- Build vs buy decision for each component with vendor recommendations

Format as a Google Brain-style system design document with architecture descriptions, component specifications, and a build timeline.

My use case: [DESCRIBE YOUR DATA TYPE, QUERY PATTERNS, ACCURACY REQUIREMENTS, SCALE, AND BUDGET]"

BREAKING: AI can now build ML models like Goldman Sachs' AI trading desk (for free).

Here are 12 insane Claude prompts that replace $400K/year quant researchers (Save for later) 1/ Time Series Forecasting Model

You are a Quantitative Researcher at Goldman Sachs Global Markets. I need a complete time series forecasting model for [STOCK/ASSET].

Please provide:

- Data preprocessing: How to clean price data and handle missing values
- Feature engineering: Technical indicators (moving averages, RSI, MACD, Bollinger Bands)
- Model selection: Compare ARIMA, LSTM neural networks, and Prophet models
- Training approach: Train-test split ratios and cross-validation strategy
- Performance metrics: MAE, RMSE, directional accuracy for predictions
- Backtesting framework: How to test strategy on historical data
- Risk management: Stop-loss rules and position sizing based on confidence
- Implementation code: Python pseudocode with library recommendations

Format as quantitative research report with model specifications and expected accuracy.

Asset: [DESCRIBE STOCK/CRYPTO/COMMODITY, TIME PERIOD, DATA SOURCE]

BREAKING: AI can now evaluate startups like Sequoia Capital partners (for free).

Here are 12 insane Grok prompts that replace $400K/year VC analysts (Save for later) 1/ Market Sizing & TAM Analysis

You are a Partner at Sequoia Capital. I need a complete market size analysis for [STARTUP/INDUSTRY].

Please provide:

- Total Addressable Market: Global market size with data sources
- Serviceable Available Market: Realistic portion startup can reach
- Serviceable Obtainable Market: What startup can capture in 3-5 years
- Market growth rate: CAGR for next 5 years with trend drivers
- Market segments: Break TAM into customer types or use cases
- Bottoms-up validation: Unit economics × potential customers calculation
- Comparable markets: Similar industries that scaled and their trajectory
- Red flags: Reasons market might be smaller than claimed

Format as investment memo market section with specific dollar figures.

Startup: [DESCRIBE COMPANY, PRODUCT, TARGET CUSTOMER]

BREAKING: AI can now build financial models like Goldman Sachs analysts (for free).

Here are 12 Claude prompts that replace $150K/year investment banking work (Save for later) 1/ DCF Valuation Model

You are a Senior Analyst at Goldman Sachs. I need a complete DCF (Discounted Cash Flow) valuation model for [COMPANY NAME].

Please provide:

- Free cash flow projections: Next 5 years with growth assumptions
- WACC calculation: Cost of equity + cost of debt breakdown
- Terminal value: Both perpetuity growth and exit multiple methods
- Sensitivity analysis: How value changes with different assumptions
- Discount rate justification: Why we chose this WACC
- Key drivers: What makes cash flow go up or down
- Comparable companies: How our assumptions compare to peers
- Valuation range: Bull case, base case, bear case scenarios

Format as investment banking pitch book valuation page with clear formulas.

Company: [DESCRIBE COMPANY, INDUSTRY, FINANCIALS]

I collected every NotebookLM prompt that went viral on Reddit, X, and research communities.

These turned a "cool AI toy" into a research weapon that does 10 hours of work in 20 seconds.

16 copy-paste prompts. Zero fluff.

Steal them all 👇 1/ THE "5 ESSENTIAL QUESTIONS" PROMPT

Reddit called this a "game changer." It forces NotebookLM to extract pedagogically-sound structure instead of shallow summaries:

"Analyze all inputs and generate 5 essential questions that, when answered, capture the main points and core meaning of all inputs."

I DON’T UNDERSTAND WHY PEOPLE DON’T USE GROK FOR STOCKS.

Most traders are looking at charts from 6 months ago.
Grok analyzes real-time sentiment on X to predict future.

Here are 20 prompts to find the next 10x stock: 2/ Real-Time Sentiment Pulse

Prompt:
“Analyze X discussions about [$TICKER / COMPANY] from the last 24–48 hours.
Classify sentiment (bullish / neutral / bearish) and explain why sentiment is shifting.”

After 3 years of using ChatGPT, I can say that it is the best technology that has revolutionized my life the most, along with the Internet.

So here are 10 prompts that have transformed my day-to-day life and that could do the same for you in 2026: 1. Learn anything from a 20-year expert even if you're clueless

"Pretend you are an expert with 20 years of experience in {industry/topic}. Break down the core principles a total beginner must understand. Use analogies, step-by-step logic, and simplify everything like I’m 5."

BREAKING: I stopped wasting hours creating handwriting notes.

AI now creates realistic handwritten notes in seconds that look 100% authentic.

Here's how it works👇
2/ First, open ChatGPT or Gemini

Paste your rough notes or textbook content and say:
“Rewrite this into clear, concise study notes for exams.”

This step is about clarity, not visuals.

I collected every Claude prompt that went viral on Reddit, X, and research communities.

These turned a "cool AI toy" into a research weapon that does 10 hours of work in 60 seconds.

13 copy-paste prompts. Zero fluff. 1. The “Contradictions Finder”

Perfect for papers, reports, or long docs.

“List all internal contradictions, unresolved tensions, or claims that don’t fully follow from the evidence.”

It catches things humans gloss over.

🚨BREAKING: You can now run Claude Code for FREE.

No API costs. No rate limits. 100% local on your machine.

Here's how to run Claude Code locally (100% free & fully private): STEP 1: Select Your Local “Brain” (Ollama)

First you need a local engine that can run AI models and handle tool or function calls.

Here we will use Ollama so download

Once it’s installed, Ollama runs quietly in the background on both Mac and Windows. ollama.com