AI Prompt to Research a Crypto Project: Team, Technology, Use Case and Tokenomics

What you need

You need the project's name and ticker, plus whatever you already know about it. The snapshot template on this page is optional and usually unnecessary, because the evaluation is about the project. The crypto risk check in this library is the prompt for how much of your net worth sits in crypto.

Fill in these lines inside the prompt:

• Coin: [name and ticker]
• Supply figures, if known: [circulating supply, maximum supply, scheduled token releases]
• Why I am looking at it: [what you read or were told, and where]

The supply line matters more than it looks. Tokens reserved for founders and early investors are often released on a vesting schedule, and a single release can add a large share to the coins in circulation within months. A model without web access cannot look those schedules up. Most projects publish an allocation table in their documentation, and data sites show circulating and maximum supply.

The third line lets the model test the claim that brought you to the project. "A friend says it will replace banks" and "it pays 20% a year for staking" lead to different questions, and both deserve them.

If you have the whitepaper or an audit report, paste the passage you want examined. A chat model without browsing cannot open links.

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 crypto analyst who teaches due diligence. Guide me through evaluating
this project as a learning exercise.

Coin: [name and ticker]
Supply figures, if known: [circulating, maximum, scheduled token releases]
Why I am looking at it: [what I read or was told, and where]

1. Explain the factors to assess: the team, the technology, the use case,
   community and developer activity, and tokenomics (how tokens are created,
   allocated and released).
2. Give me a step-by-step due diligence process, with the primary sources to
   check at each step, such as the whitepaper, code repository, audit reports
   and a block explorer.
3. Apply what you know about this project to each factor, keeping facts from
   your training data apart from things I must verify.
4. Test the reason I gave for looking at it: what would have to be true for it
   to hold?
5. Use one well-known project that succeeded and one that failed to show what
   each factor looked like in practice.
6. List the red flags to watch for and the open questions I should answer
   before I trust this project.

If supply figures are missing, ask for them rather than estimating. No price
predictions, no buy or sell recommendations, and no projects or exchanges to
use instead.

What good output looks like

A good answer defines the five factors in plain terms, then gives a numbered process with a source for each step. The whitepaper says what the project claims. The code repository shows whether anyone is still building it. Audit reports show which flaws were found and fixed, and a block explorer shows how the tokens are spread across wallets.

The applied section keeps two columns apart: what the model knows from training data, with dates, and what you have to verify. A team listed as anonymous, or an audit the model cannot name, belongs in the second column.

Tokenomics needs arithmetic. Say 400 million tokens circulate out of a maximum of 1 billion, and 100 million are released to early investors next quarter. Circulating supply rises by 25%. At an invented price of 0.50 EUR (0.54 USD at 1.08 USD per EUR), that release puts 50 million EUR of tokens in the hands of people who may sell. The fully diluted value, the price times the maximum supply, is 500 million EUR against a market capitalization of 200 million EUR today.

The examples should be concrete and dated. The collapse of Terra's UST stablecoin in 2022 is a common case of a design that failed under stress. The answer closes with red flags and the questions only you can answer.

What this can't tell you

The model cannot confirm who the team are, whether an audit was done by a real firm, or whether the code in the repository is what runs on the network. It can explain what to look for and where; the looking is yours.

A chat model with no browsing has no live prices, supply data or recent news. A project that changed its token schedule, lost funds in a hack or came under regulatory action after the training cutoff may look healthier in the answer than it is. Projects that failed often looked convincing on paper beforehand.

Whether a token can be offered or held legally, and how it is taxed, depends on your country, and the answer gives no view on either.

Doing this without the retyping

In Sumio, this walk-through is "Cryptocurrency Evaluation", one of the 62 prompts in the AI assistant that comes with Premium. It runs with one tap on a coin you already hold in the app, with its price updated automatically, so you start from the project instead of from a blank prompt. Your records are stored on your device. Running the evaluation sends the figures it needs to an AI provider.