AI Prompt to Understand Each Type of Asset You Hold and How People Usually Manage It

What you need

Fill in the snapshot template below and give each asset a category, using the labels you keep anyway: cash, stocks, ETFs, property, crypto, metals or your own. The answer is organized around those labels, so consistent naming matters more than fine detail. Label one ETF "funds" and another "ETFs", and they become two separate categories.

Include the context lines at the bottom of the template if you can. Monthly spending lets the model say how many months your cash would cover, and monthly saving shows which categories are still growing through your own additions. Your age helps it describe what people at a similar stage commonly do.

Liabilities can stay empty, since this prompt looks at how your assets are managed and debt has prompts of its own. Convert all values into one currency first, with one exchange rate per foreign currency, and use realistic sale values for property and vehicles.

No extra lines are needed below the snapshot. If one of your categories mixes very different things, split it before you paste, so each part gets an explanation that fits it.

Here is my financial snapshot. Use only these numbers.

Currency: [e.g. EUR]
Date: [today's date]
Age: [optional]

ASSETS
[name] — [category: cash / stocks / ETFs / crypto / property / metals / other] — [value]
[name] — [category] — [value]
...

LIABILITIES
[name] — [type: mortgage / car loan / credit card / student loan / other] — [outstanding balance] — [interest rate if known]
...

CONTEXT (optional but improves the answer)
Monthly income after tax: [amount]
Monthly spending: [amount]
Amount I add to savings or investments each month: [amount]
Value of the same assets 12 months ago: [amount]

The prompt

Copy this exact text and paste it into ChatGPT, Claude or Gemini directly beneath your snapshot block.

You are a personal finance educator. Using only my snapshot above, go through
my assets one category at a time.

1. Group my assets by the categories I used, with each category's total and
   its share of all my assets.
2. For each category, explain in plain words what this type of asset is
   usually held for: growth, income, stability, quick access to money or
   protection against inflation.
3. Describe how people in situations similar to mine commonly manage that
   category, for example how much cash they keep within reach or how they
   treat the home they live in.
4. Name the pitfalls people most often meet with each category, and say
   whether my figures show signs of any of them.
5. Explain how my categories work together, especially the balance between
   money I can reach within a month and money meant to grow for years.
6. End with the category that would gain most from a closer look, and why.

Keep this to general patterns and say when my data is too thin for a
category. If a number is missing, ask rather than estimate. No specific
products and no buy or sell recommendations.

What good output looks like

The answer should open with a short table of your categories. Say you hold cash of €22,000, stocks and ETFs worth €96,000, a flat at €180,000 and crypto bought in dollars, now $8,100, converted at 1.08 to €7,500. That makes €305,500 in total, with the flat at 58.9%, stocks and ETFs at 31.4%, cash at 7.2% and crypto at 2.5%.

Each category then gets its own short block. For cash, it explains that the job is access and stability, works out that €22,000 covers eight months of €2,750 monthly spending, and sets that against the common rule of thumb of three to six months. For the flat, it notes that a home you live in provides housing first and cannot be sold in part. For crypto, it shows that even a small share moves the total: a fall by half would take €3,750 off, about 1.2% of everything you own.

The pitfalls part should only name a pitfall where your figures point to one, and say plainly when a category looks unremarkable.

The section on how the categories work together usually turns on access to money. Here €118,000 sits in cash, stocks and ETFs you could reach within weeks, though the stock part could be worth less on the day you need it.

The final pick names one category and gives a reason tied to your numbers.

What this can't tell you

The patterns the model describes are generalizations from its training data. People manage cash, property or crypto in many sensible ways, and "people in situations like yours" is a loose group when the model knows only your figures and perhaps your age.

The breakdown follows your own labels. If one category mixes very different things, such as a savings account and a bond fund under "safe money", the explanation for that category will be blurred.

It does not weigh debts, so a flat with a large mortgage looks the same as one owned outright. It cannot see fund contents, interest rates on your accounts or the tax rules in your country, and it can misadd category totals, so check the shares against your own sum.

Doing this without the retyping

Rebuilding a categorized list for a chat each time something changes takes longer than reading the answer. This prompt is one of the 62 built into Sumio, where it is called "Asset Categories Insights" and runs on the categories and holdings you already track. Prices update automatically, and the AI assistant comes with Sumio Premium. Your records are stored on your device; running the prompt sends the figures it needs to an AI provider.