Real situations โ many from my own life, names removed โ showing exactly what was asked and which AI did what.
Red-teaming a private deal deck before the investor call
๐ค A dad of three who works as a healthcare executive
The problem: A friend sent him a slick 30-page slide deck for a private apartment deal promising high returns, with a 'commitment deadline' in five days.
- Uploaded the deck to Claude and typed: 'Summarize this in plain English with page numbers. List every fee, how long my money is locked up, and every risk mentioned.'
- Asked Claude: 'Now act as a skeptical investigator. Give me the 10 strongest reasons this could lose money and the 5 questions the sponsor would least like to answer. Do not tell me whether to invest.'
- Asked ChatGPT the same red-team question separately to see if a second AI caught different issues.
- Searched the deal's exact company name on SEC EDGAR for a Form D, and looked up the person selling it on FINRA BrokerCheck himself.
- Asked the sponsor for the full private placement memorandum (PPM) and a list of every past deal, including losers.
What happened: The two AIs together flagged 14 issues; three were serious, including a 2% yearly fee on money invested and no past deals of this type. No Form D was on file yet. He passed on the deal and spent about 2 hours instead of losing sleep over a $50,000 decision (made-up amount).
ClaudeChatGPTSEC EDGARFINRA BrokerCheck
๐ก Let AI argue against the deal, then prove things yourself on official sites.
Steelman and critique of an infinite-banking pitch, live on a call
๐ค A healthcare executive and his wife, both in their late 30s
The problem: An agent pitched a whole life 'infinite banking' policy on a video call with big projected numbers and asked for an answer that week.
- Before the call, asked Claude: 'Give me the strongest honest case FOR infinite banking and the strongest case AGAINST, with the tax code sections behind each. Do not give advice.'
- During the call, kept Grok open on his phone and quietly typed the agent's claims, like 'policy loans are tax-free forever,' asking: 'Is this always true? What are the exceptions?'
- After the call, uploaded the policy illustration to Claude and asked: 'In what year does the GUARANTEED cash value first exceed total premiums paid? What is the MEC limit?'
- Asked Claude to build a side-by-side table: this policy versus cheap term insurance plus investing the difference, labeled as an example.
- Sent the agent three written follow-up questions and booked a meeting with a fee-only advisor who doesn't sell insurance.
What happened: The guaranteed break-even year turned out to be year 12 (made-up), not the 'year 5' the agent talked about, which used non-guaranteed dividends. They chose to keep their term insurance for now and revisit later. Total time: about 90 minutes.
ClaudeGrok (phone)PDF illustration
๐ก Hear the best case and the worst case before a salesperson's deadline, not after.
Building an income-portfolio watchlist (not a buy list)
๐ค A dad of three who follows a lot of dividend and income YouTube channels
The problem: He had heard dozens of fund names on YouTube (BDCs, REITs, covered-call funds) and wanted to understand them, not just chase the highest payout.
- Asked Claude: 'Make a spreadsheet with columns: name, ticker, type (BDC, REIT, CEF, covered-call ETF, dividend ETF), what it owns, and where the payout comes from. Do not recommend anything.'
- Pasted in names he'd heard, like Main Street Capital (MAIN), Realty Income (O), SCHD and JEPI, and asked Claude to fill in what each one is.
- Exported the table into Google Sheets and added columns for 1-year and 5-year total return, which he looked up himself on free finance sites.
- Asked Claude: 'For each one, what is the biggest risk, and what is one question to research before ever buying it?'
- Set a monthly calendar reminder to update the sheet instead of reacting to every new video.
What happened: Of 20 funds on his list (made-up count), 6 had high payouts but lower total returns than a plain index fund over five years. He kept the watchlist as a learning tool and took his questions to a fee-only advisor.
ClaudeGoogle SheetsYouTubeCalendar
๐ก A watchlist with total return beside the payout keeps you from chasing yield.
Running this website as a small business with a team of AI agents
๐ค A specialty-pharmacy executive who builds things on nights and weekends
The problem: He wanted a free public site teaching regular people to use AI for money, health and taxes, funded by sponsorships and donations, without hiring staff.
- Used Claude as the planner: 'Write a brief for six topic guides with these rules: plain English, cite public sources, never give personal advice, verify every link.'
- Had several Claude researcher agents each draft one topic guide in parallel, then a manager agent checked every link and privacy rule.
- Used ChatGPT to sketch page designs and Grok bots as operators that post updates and watch for broken pages.
- Added a donations page that accepts crypto, and a short sponsorship page with clear 'sponsors don't pick the content' wording.
- Kept a simple spreadsheet of costs (hosting, AI subscriptions) versus income (donations, sponsors), updated weekly.
What happened: Six guides went from idea to published in about a day. Early income is small, a few donations a month (made-up), against roughly $100 a month in tool costs, so it's a slow-build business, not quick money.
Claude (planner + researcher agents)Grok botsChatGPTSpreadsheetCrypto wallet
๐ก AI agents can run a small online business, but you still need a manager, rules, and an honest cost sheet.
Understanding a holding-company setup before paying an attorney
๐ค A family with a rental property and a small side business
The problem: Their CPA mentioned a 'trust owns an LLC holding company' setup, and they wanted to understand it before an hourly attorney meeting.
- Asked Claude: 'In plain English, explain a revocable living trust that owns an LLC, which owns a rental and a small business. What does each layer do and NOT do? Cite IRS or government pages. Do not give legal advice.'
- Asked Claude to draw a simple box diagram: family โ trust โ LLC โ rental and business, with arrows for who owns what.
- Asked: 'What does a single-member LLC owe the IRS by default, and when would someone file Form 2553 to be taxed as an S corporation? What deadlines matter?' Then checked the answers on IRS.gov.
- Had Claude turn everything into a one-page list of 8 questions for the attorney, like 'Which state should the LLC be in?' and 'How should each bank account be titled?'
What happened: The attorney meeting took 1 hour instead of the 3 they had budgeted (made-up), and they understood every document they signed. They also learned the living trust would not protect assets from lawsuits; that was the LLC's and insurance's job.
ClaudeIRS.govCFPB.gov
๐ก Learn the vocabulary with AI first; pay the attorney for judgment, not definitions.
A family dashboard that shows every account, read-only
๐ค A family of five juggling bank, retirement, crypto, insurance and mortgage accounts
The problem: Their money was spread over many websites and paper statements, so nobody could answer 'What do we own and owe?' quickly.
- Asked Claude to help build a simple home 'operating system' app on the family computer that connects to banks in read-only mode, so nothing can move money.
- Used a document scanner that drops every statement into a cloud folder; Claude reads each one and files it by account and year.
- Added a renewals calendar (insurance, registrations, policy reviews) that sends reminders to both parents' phones.
- Set a rule: a number only shows up when a statement or live bank read proves it; otherwise the box stays blank.
- Every month, asked Claude: 'Summarize what came in, what went out, and what moved into savings and investments, in plain words.'
What happened: They can see net worth in one place in under a minute, caught two insurance renewals before they lapsed, and spend about 20 minutes a month on money instead of a weekend.
ClaudeDocument scannerCloud driveBank connections (read-only)Phone calendar
๐ก Seeing everything in one honest place comes before any wealth strategy.
Testing whether a trading 'edge' was skill or luck
๐ค A hobby investor who spent months building an automated trading system
The problem: His backtests looked amazing, and online courses promised similar results. He wanted to know if the strategy was real before risking money.
- Asked Claude: 'Help me design a coin-flip test. Run my strategy against 1,000 random strategies with the same number of trades. How often does random luck do as well?'
- Had Claude add realistic trading costs (fees, price slippage) to every test.
- Asked: 'Show me the worst stretch of losses, including losses on open trades that hadn't closed yet.'
- Asked a second AI (ChatGPT) to review the code for mistakes like accidentally peeking at future prices.
What happened: Most of his strategies did no better than random coin flips once costs were included. He kept the research and did not put real money behind the system, saving what could have been thousands in losses (made-up).
ClaudeChatGPTPython notebook
๐ก If luck can explain the results, assume luck until you prove otherwise.
A daily ledger for a small bitcoin-mining setup: actual vs. projected
๐ค A family that bought a few hosted bitcoin-mining machines
The problem: The seller's projections promised steady income, but the family didn't know what the machines were really earning after power and hosting fees.
- Asked Claude to build a spreadsheet with one row per day: coins earned, electricity cost, hosting fees, and uptime.
- Each morning, an AI agent copied the earnings from the mining dashboard into the sheet and noted any machine that went offline.
- Asked Claude: 'Compare actual results to the seller's projection each month in plain dollars, and explain any gap.'
- Asked: 'What would have to be true for this to break even? List the assumptions, like bitcoin price and network difficulty.'
What happened: Actual earnings ran about 30% below the projection (made-up), mostly from downtime and rising competition. They learned to judge the machines by the ledger, not the sales sheet. See our Bitcoin guide for more.
ClaudeAI agentSpreadsheetMining dashboard
๐ก Track actual against projected every day; projections are a sales tool.
An AI chief of staff that manages other AI bots
๐ค A busy dad of three with a demanding healthcare job
The problem: He had separate AI helpers for finances, research, social posts, and health questions, and the updates were overwhelming.
- Set up one 'chief of staff' bot (Grok) whose job is to collect reports from the other bots: a finance bot, a research bot, a social-media bot, a prediction-market research bot, and a healthcare bot.
- Gave each bot one lane and one rule: report what changed, what needs a human decision, and nothing else.
- Had Claude write the weekly report format: top 3 decisions needed, money moved (read-only), deadlines in the next 30 days.
- Got the weekly summary on his phone every Sunday morning and only opened the full reports when something needed him.
What happened: Weekly money and admin time dropped from several hours to about 30 minutes (made-up). The bots never move money; every decision stays with him and his wife.
Grok (chief of staff)ClaudeSeveral specialist botsPhone
๐ก One manager bot with clear lanes beats many bots shouting at you.
Asking about dividends by voice while driving
๐ค A dad of three with a long commute
The problem: He wanted to learn during his drive without looking at a screen.
- Asked the Grok voice assistant in his truck: 'Explain the difference between a BDC and a REIT in two minutes, like I'm new. Don't recommend any.'
- Asked a follow-up: 'What does return of capital mean on a fund payout?'
- Said 'Save that as a note,' and the conversation synced to the Grok app on his phone and computer.
- That evening, opened the note on his computer and asked Claude to check the explanation against Investor.gov pages and correct anything wrong.
What happened: He learned the basics on two 20-minute drives and found one small mistake in the voice answer that Claude and Investor.gov corrected.
Grok (car voice)Grok (phone/computer)ClaudeInvestor.gov
๐ก Learn by voice on the go, then double-check on a screen against official sources.
Checking a cold-call 'advisor' in five minutes
๐ค A 72-year-old retired teacher
The problem: A caller offered a 'guaranteed 12% income investment' and asked her to decide by Friday.
- Typed into ChatGPT: 'Someone called offering a guaranteed 12% investment and wants an answer by Friday. What warning signs does this match? Don't give me investment advice.'
- Followed its suggestion to search the caller's name on FINRA BrokerCheck and the SEC adviser search; found no record.
- Read Investor.gov's 'How to Avoid Fraud' page that ChatGPT pointed her to.
- Asked ChatGPT to write a short, polite 'No thank you, please remove my number' script.
What happened: She declined. 'Guaranteed' plus a deadline plus no registration matched three classic red flags. Total time: about 10 minutes.
ChatGPTFINRA BrokerCheckInvestor.gov
๐ก Guaranteed returns plus a deadline is a reason to hang up, not hurry up.
Looking at a laundromat for sale
๐ค A married couple in their 40s thinking about buying a small business
The problem: A broker sent them a two-page summary of a laundromat for sale showing strong profits.
- Pasted the summary into Claude: 'List every number that needs proof, and the documents I should ask for, like tax returns and utility bills. Don't tell me whether to buy.'
- Asked: 'What are owner add-backs, and which of these look unusual?'
- Requested three years of tax returns and bank statements, then asked Claude to compare them to the broker's summary.
- Read the SBA's page on buying an existing business and its 7(a) loan page.
What happened: The tax returns showed about 25% less profit than the broker's summary (made-up). They made a lower offer based on the real numbers and brought in a CPA to review before signing anything.
ClaudeSBA.govSpreadsheet
๐ก The seller's summary is a starting point; the tax returns and bank statements are the truth.
Finding the free money in a first 401(k)
๐ค A 24-year-old in her first full-time job
The problem: She skipped the retirement plan sign-up because the paperwork was confusing.
- Uploaded her benefits summary to Claude and asked: 'Explain my 401(k) match in plain words. How much do I need to put in to get the full match? Don't give investment advice.'
- Asked: 'What does vesting mean in this plan?'
- Checked this year's contribution limit on the IRS page Claude pointed to.
- Set a phone reminder to review her contribution each time she gets a raise.
What happened: She learned her employer matches up to 4% of pay (made-up) and that she'd been skipping about $2,000 a year in match. She signed up that day.
ClaudeIRS.govPhone reminders
๐ก Read the benefits summary with AI; the match is often the easiest money you'll ever earn.