Money prompts usually turn ChatGPT into a chatty advisor. You get five paragraphs about diversification, a reminder to consult a professional, and no answer to the one question you asked. A Reddit user (u/realFinerd) shared a prompt on r/ChatGPTPromptGenius that does the opposite. It treats the model as a calculator with exactly one opinion, and that single change makes the output far more useful than a long, polite essay.
The key idea
The prompt asks one question: am I behind financially for my age? It does not ask for general advice. It forces the model to compare you against Federal Reserve data, show the result in a single table, and commit to one next step. Everything else is banned. Think of it as asking a friend who knows the statistics, “Where do I stand?” and getting a straight answer instead of a seminar. The constraint is the feature. When the model has fewer places to wander, it spends its effort on the comparison you actually care about.
Old way vs. new way
The old way: “Give me financial advice for a 34-year-old.” You get generic tips, soft language, tax explanations you never requested and a long list of assumptions. The model has to guess your income, your debts and your goals, so it covers every possibility and commits to none. You finish reading and still don’t know where you stand. Worse, you may feel vaguely reassured or vaguely anxious, with nothing concrete to base either feeling on.
The new way: You hand over your real numbers and ask for a verdict. The output is capped at:
- 📌 A two-sentence verdict in plain words
- 📊 One table comparing you with the median for your age group, using the Fed’s Survey of Consumer Finances
- 🎯 One sentence naming where your next dollar goes: emergency fund, employer match, Roth IRA, 401(k), debt or brokerage
- 🔄 An optional verdict on a change you’re weighing, such as a new job, moving out, school or a house
The table covers savings vs. salary, savings rate, months of cash, your projected balance at 65, and what an extra $100, $300 or $900 a month would add. That last row is quietly the most motivating part. Seeing the gap between today’s habits and a slightly higher monthly contribution turns a vague “I should save more” into a number you can decide on.
The prompt also blocks the usual failure modes. It says “medians only, never invent percentiles,” so the model can’t make up a ranking. It bans tax explanations, Social Security lectures and assumption lists. If the model had to assume something, it gets one line at the end, so you can see the guess without wading through it.
Why the contrast works
Vague prompts invite vague answers. This one pins the model to a specific data source and a fixed output shape. It leaves no room for padding, and you can scan the result in under a minute. A fixed shape also makes results comparable. Run it again in six months with updated numbers and you can lay the two tables side by side to see whether your savings rate, your months of cash and your projected balance moved in the right direction.
One community member ran it with real numbers (Claude, web search on). The verdict came back as “Behind,” with zero retirement savings placing them among the share of their age group who have none. That is blunt, and it is also the point. A clear answer gives you something to act on, and a hedged one doesn’t. Plenty of people avoid this kind of check because they expect bad news. A short, factual verdict is easier to face than a vague sense of dread, and it tends to be less bad than the story you tell yourself.
How to use it
- Gather your numbers. You need age, income before tax, monthly spending, monthly savings, cash, retirement balances, other investments, home equity and debts with rates. Rounded is fine, and “none” works for most fields. Ten minutes with your banking app and a recent pay stub is usually enough.
- Add your context. Include partner and dependents, location, whether you rent or own, and your employer match. The match matters more than people expect, because it often decides where that next dollar should go.
- Name the change you’re considering. Put in a job offer, a rent figure, a tuition cost or a house price. Or write “none.” If you are torn between two options, run the prompt twice, once per option, and compare the verdicts.
- Turn on web search. The author says it works best this way, because the model has to pull the latest Survey of Consumer Finances from federalreserve.gov. Without it, the model may lean on older figures from memory.
- Check the output. You should see a two-sentence verdict, one table, one next-dollar sentence and nothing else. If the model starts explaining tax rules, tell it to follow the output rules. A single reminder is usually enough to pull it back.
- Pick one action. The prompt gives you one next step. Do that one, not all of them. Put it on your calendar this week, then revisit the prompt once it’s done.
Adapt it
The structure carries over to other topics. Pick one question, one trusted data source, one table and one recommendation, then ban everything else. That pattern works for salary checks, budgeting and debt payoff too. For a salary check, point it at a government wage survey for your role and region. For debt payoff, ask for a single table of payoff dates under two strategies and one sentence naming which debt gets the next payment. The rule of thumb is simple: if you can’t name the data source, the model will invent one.
Your turn
Copy the prompt from the original thread, run it with your own numbers and see where you land. Then tell the community whether the answer was useful and what you would add. The author asked for exactly that, and your tweaks might make the next version sharper!
Frequently Asked Questions
Q: What if I have $0 in retirement accounts, does that mean I’m failing?
Not necessarily. The prompt shows you’re in the 38, 50% of your age group with no retirement savings yet, which is a percentile, not a judgment. What matters is the next step: your savings rate and whether you’re on pace to build them. If you’re behind today but contributing going forward, the math changes quickly (contributing $300/month adds $250k by 65 over 30 years).
Q: Can I factor in side business income, rental income, or non-W2 benefits?
Yes, include them in your income total. The prompt works with “before tax” income however it arrives, W2, business profit, rental income, or recurring benefits all count. The key is using consistent numbers (annualized), and if you have irregular business income, average it over recent years to avoid over-optimism.
Q: I have multiple debts at different interest rates. Which should I pay off first?
The next-dollar rule in the prompt prioritizes highest interest rate first (after building a small cash buffer). A 17.5% personal loan or credit card beats a 7% truck loan because the math is stark: every dollar you throw at 17.5% saves you 17.5% per year. Start with the emergency fund (1 month of bills in cash), then attack the highest-rate debt.
Q: Should I include home equity when comparing my net worth to the median?
The prompt lets you include it, but exclude it to see the clearer picture: what you own *outside* real estate. Home equity counts, but it’s less liquid than cash or investments. Separate the two so you know how much you can actually move if you need to (and because home values vary wildly by location).
Q: How do near-term changes, like starting a side gig or renting a room, affect the projections?
Run the prompt twice: once with your current situation, once with the new income or spending factored in. The table’s “+$100/+$300/+$900 per month” rows show the sensitivity directly. A $300/month change ($3,600/year) compounds into meaningful wealth over 20, 30 years, so even modest improvements to cash flow reshape your timeline.
Copy-paste prompt that answers “am I behind for my age?” with Fed medians, a table and one next step
by u/realFinerd in ChatGPTPromptGenius