🏴‍☠️ One prompt made Claude audit my money

You open your banking app, scroll past a wall of charges, and one of them makes you squint: what is that. Then you close the app and forget it ever happened. Most of us run this exact loop every month, and those small leaks pile into real money by the end of the year.

This is where the original poster stopped my scroll. A finance-minded creator on LinkedIn shared how Claude surfaced $10,200 a year in savings, and the model never touched a bank account, a login, or a single password. They pulled it off with one detailed prompt, reproduced step by step, that turns Claude into a personal CFO.

What struck me here: this is a full step-by-step process, not a lazy question lobbed at a chatbot. You get a system that cleans messy exports, unmasks hidden subscriptions, scores every merchant, and tells you what to cut first. Here is why I think it earns a spot in your week.

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The creator is blunt about one thing: do not run this blind. Before you paste anything, prep your data and understand what you are feeding the model.

The launch is short. You open every banking app you use, download twelve months of transactions as CSV files, and drop them into one folder on your desktop. Then you point Claude at that folder, set it to Opus 5.5 on High, and paste the prompt with your own context added.

Why twelve months and not one. A single statement misses yearly renewals, creeping price hikes, and the seasonal spending that only surfaces in spring or December. A full year catches what a snapshot hides.

Here is a detail most people skip. The file format matters as much as the history, because CSV files are plain data, so the model runs real calculations on them instead of guessing from a blurry image. That is the gap between a number you trust and a number you hope is right.

And since you only ever share exports, Claude never sees your actual accounts. No login, no access. You keep the keys; the model reads a copy of the receipts.

This is the part that sold me on the whole approach. You get the analysis of a paid advisor without handing anyone the power to move a cent.

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The author built the prompt as five stages, and I think the sequencing is the real win. Step one cleans the data: messy merchant names like SQ JOES COFFEE 4421 become Joe's Coffee, and transfers between your own accounts get pulled out so nothing counts twice.

That cleanup is not cosmetic. If you move $2,000 from checking to savings and pay a card bill, a naive read can make your spending look double what it is. Strip the internal moves and every number gets honest.

Step two paints the big picture: money in, money out, what is left, then your cost centers ranked largest to smallest. Step three is my favorite part. The model stops and asks you five to ten targeted questions before it dares give advice.

Why the pause matters: advice for a freelancer in Berlin should not look like advice for a family of four in Texas. Context changes the verdict. Step four then runs the audit cost center by cost center, scoring every merchant KEEP, WATCH or CUT with a one-line reason and a yearly savings figure.

Those five to ten questions are where most people get lazy, and giving AI real context is a habit you build, not a trick you read once. 3 Minute AI teaches it in three-minute lessons that each end with a small task you try right there in the app, including a claude track. Daily lessons and two full courses are free.

One trick in the prompt deserves its own spotlight. Apple, Google, PayPal and Amazon bundle dozens of charges under a single name, so your real subscriptions hide inside one vague line item.

The fix is clever. You group those charges by amount and the day of the month they hit, and now each hidden subscription lands on its own row. The forgotten streaming tier, the app you stopped using, the trial that renewed on you: all exposed.

Buried in the instructions is a safeguard worth copying into your own prompts: use code for every number, never estimate a total by reading. Language models slip on mental math. Forcing calculation with code makes the totals trustworthy.

The expert also sends Claude hunting for the sneaky stuff: ghost subscriptions you forgot, free trials that turned paid, a charge that appeared after you cancelled, duplicate billings, and the fees you never notice. That is the layer a tidy budgeting app skips.

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A few practical moves from how the contributor framed this. Include every account, because the prompt flags any card payment it cannot trace, so missing files surface as gaps. Answer step three with real detail, since the audit is only as sharp as the context behind it.

Then move. Cancel ghost subscriptions the same day, call providers on the renegotiate items where insurance and phone plans often have room, and start with the two or three biggest leaks before fussing over a $3 app.

Run it again every quarter. Prices creep, trials sneak back, and new charges slip in. A few audits a year keeps the leaks from refilling.

Pull your last three months of bank and card statements as CSV files tonight, then hand them to Claude with one rule: clean the data, map the cost centers, pause for your context, and score every merchant before it tells you what to cut.

If you want the exact five-stage prompt and the one line that forces real math, grab the full money-audit prompt and workflow.

Worth 10 minutes if you suspect a few forgotten subscriptions are quietly bleeding you every month.

Credits to the original creator.

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