I always know where
my money stands, on autopilot.
I am not good at tracking expenses, incoming payments, and transfers, and I never enjoyed it. So I built an AI that watches every place money moves, Stripe, PayPal, bank transfers, even a photo of a receipt I take on my phone. It decides whether each one is money in or money out, reads the amount and what it was for, and logs it for me. At the end of the day I get a graph and a short, plain-English analysis comparing this month to the months before it. I always know where I stand, with no accounting, no kept receipts, and nothing to read.
Money tracking eats your time, and most of us quietly avoid it anyway.
Running a business means money moves in and out from many places at once. Some comes in through Stripe, some through PayPal, some by bank transfer, and money goes out in dozens of small charges you forget the moment you make them. To know where you stand you are supposed to keep receipts, log every line, and read it all back later. Almost nobody does it well, because it is dull and easy to put off. So the picture goes blurry, and you find out something was wrong only when it hurts. The fix is an AI that pulls every payment in and out, sorts and logs it for you, and hands you a daily graph with a plain-English read on what changed. Here is who it is for, what goes wrong without it, how it works, and what you get back.
Who it’s for
Anyone whose money moves through more than one place and who does not enjoy bookkeeping. Founders, freelancers, small business owners, and creators with a few income streams. It works even if you have no head for numbers, because the AI does the sorting and the logging, and you just read the daily picture.
What goes wrong
Without it, the books slip. Receipts pile up, charges go unlogged, and you stop knowing what is really coming in and out. So small leaks hide for months, and a forgotten subscription keeps billing while you never notice. The damage is not one big mistake. It is many tiny ones you never see, because nobody was watching the money for you.
How the machine works
The AI fetches money events from Stripe, PayPal, bank transfers, and even a photo you snap of a receipt. It decides whether each is money in or out, reads the amount and the reason, and logs a clean row. You keep nothing and type nothing. The tracking file fills itself, every day.
What you get back
A daily graph and a short, plain-English analysis of your money, with no accounting on your side. It compares this month to the months before and flags what costs too much. It already paid for itself by finding tools I forgot I was paying for and plans I could downgrade.
I needed to know where my money was, but I am terrible at tracking it.
Here is the honest truth. I am not good at tracking expenses, incoming payments, and transfers. It is not the kind of work I enjoy, and like most people, I quietly avoided it. The trouble is that money in my business comes from many places, Stripe over here, PayPal over there, the odd bank transfer, and goes out in dozens of small charges I forget the moment I make them. To know where I stood I was meant to keep receipts and log every line by hand, and I just did not.
What bothered me was not the bookkeeping itself, it was the blindness. Because nobody was watching the money closely, I never really knew where I stood in the middle of the month. Was more coming in than going out, or less? Which tool was quietly costing me? I could not have told you. The work that mattered was the answer, knowing my position, and the receipts and ledgers were just the boring tax I was supposed to pay to get there, and rarely did.
So I built an AI to do it for me. It fetches information from all the different places my money moves, Stripe, PayPal, bank transfers, and works out for each one whether it is money coming in or going out, how much it is, and what it is for. Then it logs that into a tracking file. I keep no receipts, I read nothing, and I type nothing. The AI does the part I always dreaded, every single day, without being asked.
The part that genuinely changed things is the end-of-day picture. At the end of each day I get a graph, and the AI writes a short analysis, comparing this month against the months before it. It tells me what is costing too much, and when there is a gap, it points to what was unforeseen that explains it. I get a clear visual on what is going on in the business without doing the accounting, keeping the receipts, or even reading them. I just look at the picture.
It has honestly been eye-opening, and the numbers are intentionally modest and easy to check. It found tools I have not used in years but still pay for, and plans where I pay too much or should downgrade. Spotting even one forgotten subscription a month is a small amount that quietly compounds into hundreds saved across a year. Add the hours I no longer spend on bookkeeping, a few each month, and over three to five years that is a real sum kept and many days handed back, for one quiet setup.
Proof point: I have broken down how I run my business on autopilot and the many income streams behind it on YouTube, in my 28 income streams breakdown and a real look at the daily work in a day in my life, so the conservative numbers on this page are checkable.
Three moves that turn scattered payments into a daily picture you can read
What made this work was separating the two halves of money tracking that everyone glues together. There is the gathering, pulling every payment in and out from wherever it happened, and there is the understanding, seeing what it all means for your position. Most people try to do both by hand, get tired of the gathering, and never reach the understanding. This framework hands the gathering and the sorting to an AI, so all you ever do is read the picture.
Watch every place money moves
The whole loop starts with one thing, never missing a payment. Instead of you remembering to log a charge, the AI watches the places money actually moves, Stripe, PayPal, bank transfers, and even a photo you snap of a paper receipt. The moment money comes in or goes out, the event is captured. This is the part that frees you, because the missed entries are what wreck a hand-kept ledger. Without it you are back to keeping receipts and forgetting half of them, which is exactly the work the machine exists to delete. Get the watching right and nothing slips through, ever.
Sort and log each one for you
A pile of raw payments is not yet useful. The unlock is the sorting. For every event, the AI works out whether it is money in or money out, reads the amount, and reads what it was for, then writes a clean row into the tracking file. You do not type, you do not categorise, you do not keep the receipt. The reader sees a tidy table that is always up to date, built by an AI that never gets bored and never skips a line. The gathering is yours no more, the sorting is the machine’s.
Hand you a picture you can read
The last move is the one that turns data into a decision. At the end of the day, the AI draws a graph of money in against money out and writes a short analysis in plain words, comparing this month to the ones before. It says what is costing too much and what explains a gap. You read it in a glance and know where you stand, with no accounting on your side. This is the part people pay an accountant for, and it is the part the AI does for you every single day, for the price of a quiet setup.
Once those three moves are in place, knowing where your money stands stops being a chore you avoid and starts being a picture that simply appears. The watching is the seed. The sorting is what keeps the table honest. The daily picture is the rebirth of a business you can actually see, without ever touching a receipt.
Before the tracker
- Payments scattered across Stripe, PayPal, and the bank, none of it joined up
- Receipts I was meant to keep and almost never did
- No real idea mid-month whether more was coming in than going out
- Forgotten subscriptions billing me for tools I had not used in years
- The accounting put off until it became a painful, blurry mess
After the tracker
- Every payment in and out pulled in automatically from every source
- A photo of a receipt is enough, the AI reads it and logs it
- A daily graph that shows my exact position at a glance
- Plain-English flags on what costs too much and what to downgrade
- Tools I forgot I was paying for found and cancelled, money kept
Prompt 1: map every place your money moves
Before you build anything, you need a list of every place money comes in and goes out. The biggest mistake is missing a source, which leaves a hole in the picture. Use this prompt to map all your money sources so the tracker watches every one.
Money source mapper
Act as a practical bookkeeping advisor. I want to build an AI that watches every place my money moves so it can log each payment in and out for me. A bit about my business: [describe what you do and how you get paid in one or two sentences]. Help me map every source of money in and out: the payment processors, the bank accounts, the cards, the recurring charges, and the one-off cash or receipt spending I might forget. For each source, one line on whether it is usually money in, money out, or both, and how often it moves. End with a short checklist of sources people most often forget to track.
The output is the full list of sources your tracker should watch. Get this right once and nothing slips through the gaps later, because every place money moves is on the list.
Prompt 2: set the rules for sorting each payment
The AI needs clear rules for how to read a payment, so its rows are consistent. Use this prompt to write a simple sorting guide the AI follows on every event, deciding direction, amount, and what it was for.
Sorting rules guide
Act as a finance operations analyst. I am setting up an AI to sort every payment into a tracking file, and it needs clear rules so its entries are consistent. Here are the kinds of money that come in: [list your income types, for example course sales, consulting, affiliate]. Here are the kinds of money that go out: [list your expense types, for example software tools, ads, contractors]. Write a plain rule set the AI can follow for each payment: how to decide money in versus money out, how to pull the amount cleanly, and how to label what it was for using my categories above. Include how to handle refunds, fees, and anything it is unsure about. Keep it simple and clear.
Save the output as the sorting guide. The AI reads it on every payment, so each row in your tracking file is labelled the same way, even though you only set the rules once.
The 3-minute overview of how this works
Before the build steps, watch this short overview. It’s the exact video from the Automations Made Easy page, and it walks through the mechanics behind machines like this one. 1,000+ students have used these mechanics to save two hours a day, with zero coding.
Want to learn the mechanics behind admin automations like this?
I teach the same mechanics that power this financial tracker inside Automations Made Easy. 1,000+ students have used these mechanics to save two hours a day and build assets that keep earning. No coding required.
Week one: your money watched, your first daily picture.
Most people put off tracking their money because it feels like a chore that never ends. That is exactly why this machine matters. A financial tracker is meant to feel like a quiet setup once and like clarity forever after. In week one you connect your sources, set the simple sorting rules, and then watch the AI log payments and hand you a graph with no work from you.
Week one looks like this. On Monday you list every place your money moves and connect them, Stripe, PayPal, the bank, and your phone for receipts. By midweek the AI is reading each payment, deciding in or out, and writing clean rows into the tracking file on its own. Then at the end of a day you open it and see your first graph of money in against money out, with a short plain-English read beside it. No receipts kept, no accounting done, no lines typed. A clear picture of your money in your first week, from one quiet setup.
The point of the first week is not the savings. The point is to confirm the AI catches every payment, sorts each one correctly, and gives you a picture you actually trust. Once that is locked, every day after it is the same machine watching your money and handing you the read.
From there the maths is simple and conservative. The tracker tends to find at least one forgotten or overpriced charge in the early weeks. Spotting one a month is a small amount that quietly compounds into hundreds saved across a year. Add the few hours a month you no longer spend on bookkeeping and the better decisions a clear picture lets you make. Over three to five years, that steady clarity and those recovered charges compound into a real sum kept, for the price of one quiet setup.
All of this runs while you work on something else, take a holiday, or sleep. Payments get pulled in, sorted, and logged, and a fresh picture waits for you at the end of each day. No receipts to keep, no ledger to update, no accounting to dread. You always know where you stand and what is leaking, with almost no effort from you.
Prompt 3: turn a receipt photo into a clean row
The handy part is logging on the move. You snap a photo of something you just spent, and the AI pulls the details into the table. Use this prompt to set up how a receipt photo becomes a clean, correct entry.
Receipt-to-row reader
Act as an assistant that reads receipts. I want to photograph a receipt on my phone and have the details turned into one clean row for my money tracker. My sorting guide and categories: [paste them]. Here is what is on the receipt: [describe or paste the receipt text]. Pull out the date, the total amount, the merchant, and what it was likely for, then label it as money out using my categories. If anything is unclear or unreadable, tell me exactly what to confirm rather than guessing. Return it as a single tidy row I can drop straight into the table.
The output is a finished row from a photo you took in seconds. Run this whenever you spend on the move, and the entry lands in your tracker without you typing a thing.
Prompt 4: write the end-of-day money analysis
The real value is the read, not the rows. At the end of the day the AI compares this month to the ones before and tells you what changed. Use this prompt to turn your tracking file into a short, plain-English analysis you can act on.
Daily money analyst
Act as a plain-spoken financial analyst. I want a short end-of-day read on my money based on my tracking file, written so a non-accountant understands it instantly. Here is this month so far: [paste or describe the month's entries]. Here are the previous months for comparison: [paste or describe earlier months]. Write a short analysis: how money in and money out compare to recent months, what is costing more than it used to, anything unforeseen that explains a gap, and any charge that looks like a forgotten subscription or an overpriced plan I should review. Plain English, a few clear sentences, and end with the one thing worth my attention today.
The output is the daily picture in words, sitting next to your graph. Read it in a glance and you know exactly where you stand and what, if anything, needs a decision.
The exact build, step by step
Connect every place your money moves
Start by listing every place money comes in and goes out, then connect them. Stripe and PayPal for payments, your bank for transfers, and your phone for the receipts you pick up on the move. You do not need anything fancy, you just need every source on the list, because a missed source is a hole in the picture. Once they are connected, the AI sees each payment the moment it happens. This is the only setup step that touches each source, and you only do it once.
Let the AI decide in, out, amount, and reason
Connecting sources brings in raw payments, and a pile of raw payments is not yet useful. The next piece is the reading. For every event, the AI works out whether it is money coming in or going out, reads the exact amount, and works out what it was for. A nineteen dollar PayPal charge becomes money out, nineteen dollars, a software tool. This is the step that makes the rest effortless. The boring judgement you used to make line by line is now made for you, instantly, every time.
Log each one as a clean row
Now the AI writes what it read into the tracking file as a tidy row. Date, money in or out, the amount, and what it was for, all filled in for you. You do not type, you do not categorise, and you never keep a receipt to enter later. Based on the sorting rules you set once, every row is labelled the same way, so the table stays consistent and honest. This is the line between a drawer full of forgotten receipts and a ledger that is always up to date without you. The logging is the machine’s job now.
Draw the end-of-day graph
With the rows filling in all day, the picture builds itself. At the end of the day the AI draws a graph of money in against money out, so you can see in one glance what the day looked like. No staring at a spreadsheet, no adding columns in your head. The bars show what came in and what went out, side by side. Because the rows were logged as they happened, the graph is always current and always honest. You get the shape of your money without doing any of the maths yourself.
Compare months and write the analysis
A graph is good, but the read is better. The AI compares this month against the months before it and writes a short analysis in plain words. It tells you what is costing more than it used to, and when there is a gap, it points to what was unforeseen that explains it. A one-off fee, a busier ads month, a tool that keeps creeping up. You do not need to know accounting to understand it, because it is written for a person, not a ledger. This is the step that turns numbers into something you can act on.
Catch the leaks and keep the money
Final piece, and the one that pays for the whole thing. As it watches month after month, the AI flags the quiet leaks, tools you have not used in years but still pay for, and plans where you pay too much or should downgrade. You cancel them, and that money stays in your pocket from then on. This is the part that compounds. Each leak it catches is money you keep every month after, and a clear picture helps you make better calls on the rest. Over months and years, a business you can finally see keeps far more than it loses.
Sources watched
The AI watches Stripe, PayPal, bank transfers, and a photo of a receipt, so no payment is ever missed.
Each one sorted
It decides money in or out, reads the amount and the reason, and logs a clean row with no typing from you.
Picture drawn
At the end of the day it draws a graph of money in against money out and writes a short, plain-English read.
Money kept
It flags forgotten subscriptions and overpriced plans, you cancel them, and the recovered money keeps building.
Build this money tracker inside the same playbook 1,000+ students use
Automations Made Easy teaches the mechanics behind admin automations like this one. Step by step, no code, plain English. Save two hours a day and own a tracker that watches your money and hands you a daily picture.
The six months after I switched it on
Here is the shape of the first six months after I turned the financial tracker on. The line tracks the money I saved each month as it found forgotten charges and overpriced plans, plus the hours I stopped spending on bookkeeping, which is exactly how this machine pays off in practice.
Monthly value from a tracker that watches your money on its own
Three things matter on this chart. The value climbs steadily as the tracker finds more leaks and saves more hours, not in a spike. The savings come from charges I cancelled and bookkeeping I stopped doing. And every single one of those months happens while the AI watches, sorts, and logs my money for me.
What other students built
I teach the simple skills behind machines like this in Automations Made Easy. Students who built their own version sent back what changed in their first month.
“I always avoided my books, so I never knew where I stood. Now I open one graph at the end of the day and I just know. It found a tool I had been paying for and never opened in over a year.”
“The receipt photo thing changed how I work. I spend, I snap, and it lands in the table. I have not kept a paper receipt or typed an expense in months.”
“The surprise was the monthly read. It told me in plain words why a month looked off, and it was a one-off fee, not a problem. I would never have spotted that in a spreadsheet.”
“Knowing the early weeks were just setup kept me patient. By month three it had found two overpriced plans I downgraded, and the savings already covered the effort many times over.”
What’s inside Automations Made Easy
AME isn’t a library of pre-built automations. Every business is slightly different. What’s reusable across all of them is the underlying mechanics: how to set up little machines that listen, write, and follow up while you sleep, and how to wire the pieces together without writing code.
The program walks you through six modules: The Right Tools (the cost-effective, no-code stack I actually use), Task Selection Mastery (which automations are worth building first), Design Secrets (mapping an automation before you build it), Zero to Hero (complete beginner to confident automator), Real-World Application (we build a full automation together, end to end), and Monetization Mastery (turn the skill into a side-business).
It also includes done-for-you templates you import in two clicks, over-the-shoulder training videos, and the same playbook 1,000+ students have used to save two hours a day. No coding required. If you can copy and paste, you can build this.
The automated financial tracker: common questions
Pulled from what readers and Automations Made Easy students ask most.
Do I need to be a developer to set this up?
No. Connecting your sources is a guided setup you do once, the sorting rules are a simple guide you fill in, and the receipt logging is a photo on your phone. You point, connect, and let it run. The skills you need are listing where your money moves and describing your categories clearly, which is exactly what Automations Made Easy teaches.
Will it really catch every payment in and out?
It catches the ones from the sources you connect, which is why mapping every place money moves is the first step. Once Stripe, PayPal, your bank, and your phone for receipts are connected, each payment is captured the moment it happens. The more complete your source list, the more complete your picture, with nothing left for you to remember.
How does it know if something is money in or money out?
It reads each payment and decides the direction using the simple rules you set once, then pulls the amount and works out what it was for. A sale through Stripe is money in, a software charge through PayPal is money out. When it is unsure, it flags the item for you to confirm rather than guessing, so the table stays honest.
Can I really just photograph a receipt and have it logged?
Yes, and this is the part people use most. You snap a photo of something you just spent, and the AI reads the date, the amount, and the merchant, then writes a clean row using your categories. You can log a coffee, a tool, or a taxi from your phone in seconds, with no typing and no paper to keep.
Is this the same as proper accounting?
No, and it is not trying to be. This gives you a clear, daily picture of money in and out so you always know where you stand and where it leaks. It is the visibility most people lack, not a replacement for a tax return. Many people use it to stay on top of things day to day and hand a clean, organised record to their accountant later.
More Money Makers like this one
Built from the same handful of mechanics. Each one captures, converts, or earns money that would have walked out the door.
Build this money tracker yourself, or learn the mechanics inside Automations Made Easy.
If you want to learn the mechanics behind admin automations like this and build your own at home, Automations Made Easy is the playbook. Step by step, no code, plain English. If you want to talk through how to connect your sources, set your sorting rules, and wire the daily picture into your own business first, I take a small number of consulting clients each month.
€497 one-time · Lifetime access · 1,000+ students
