AI x Crypto Lesson 7: Using AI to learn, research & verify project

Before we dive in, take this Crypto and Blockchain Cheat sheet - a quick, printable snap shot you can keep open while you read!

Lesson 7 - Using AI to Learn, Research & Verify Projects

By this point, you already know what is crypto and blockchain, how wallets work, how to read token pages, and how scams happen. Lesson 7 is where I put everything together into one habit.

I personally don’t use AI to “pick winners.” I use AI as my “knight in shining armor” to help me think more clearly, research faster, and verify smarter on my trading journey.

Because here’s the truth: crypto moves fast, and beginners lose money mainly from confusion + speed. AI can help in slowing you down and asking better questions as long as you know which question to ask.

Therefore, I am here to help 😃 

1) My rule for using AI in crypto: “AI helps me ask better questions”

AI is amazing at:

• Simplifying complicated info (whitepapers, tokenomics, roadmap)

• Comparing two projects quickly

• Summarizing what matters

• Creating checklists so I don’t forget steps when I am emotional, get hyped up over some new tokens

But AI can also be confidently wrong. So my rule is: AI gives me a first draft, then I verify using “source of truth” places like CoinMarketCap/CoinGecko and official explorers (Etherscan/BscScan).

That’s also why I always pair “idea + research” with checking real platforms like CoinMarketCap, DexTools, X, and PinkSale so I can get an overall, precise view from every source.

2) How I talk to AI so it actually helps

When beginners use AI, they often ask vague prompts like:

• “Is this token good?”

• “Will this coin pump?”

That’s the wrong style of question. It lacks clarity. You have to be extremely specific with your prompt.

Instead, I will ask AI like a researcher or risk manager. I include:

1. Context (what chain, what stage, what goal)

2. The exact data (CMC/CG text, website paragraph, tokenomics section, contract link)

3. The output format I want (bullet points, checklist, comparison table, red flags)

Example:

“I’m researching a new token on BNB Chain. Here’s its website text + tokenomics summary. Summarize what it does in 6 bullets, then list 8 verification checks I should do before interacting with it. Keep it neutral.”

3) Using AI to learn crypto faster

When I hit a concept that feels “too technical,” I ask AI to translate it into simple language.

Example: coins vs tokens (quick refresher with real examples)

• Coins live on their own blockchains:

  • BTC $BTC ( ▲ 0.39% ) on Bitcoin

  • ETH $ETH ( ▲ 0.4% ) on Ethereum

  • BNB $BNB ( ▼ 0.2% ) on BNB Chain

• Tokens live on top of blockchains:

  • USDT (ERC-20) on Ethereum

  • SHIB $SHIB ( ▲ 2.93% ) (ERC-20) on Ethereum

  • CAKE $CAKE ( ▲ 1.99% ) (BEP-20) on BNB Chain

If a beginner asks me: “USDT is a coin, right?” I will use AI to explain it in a way that clicks:

“Explain the difference between a coin and a token using a ‘country and businesses’ analogy, with BTC/ETH as coins and USDT/CAKE as tokens.”

4) Using AI to research projects the way I actually do it

If you don’t know what token to create (or what token to trust), you study real projects first: websites, roadmaps, whitepapers, what they solve, and what they’re missing.

4.1 AI + competitor research

When I’m researching or brainstorming, I would normally do this:

• I look at a few similar projects (same niche)

• I collect:

  • Their homepage text

  • Tokenomics section

  • Roadmap highlights

  • Then I ask AI to extract patterns and gaps

Example:
Let’s say you’re studying DEX tokens:

• UNI (Uniswap token)

• CAKE (PancakeSwap token)

You can ask:

“Compare UNI vs CAKE in simple English: what each token is used for, what chain ecosystem it’s strongest in, and what kind of investor each attracts.”

This helps beginners instantly understand why “same category” does not mean “same risk.”

4.2 AI for whitepapers

Whitepapers can be useful, but they’re often long and full of marketing language. The course encourages reading whitepapers because that’s where you find gaps and opportunities.

Here’s how I would use AI so it doesn’t become a chore:

• I paste the whitepaper text (or key sections)

• I ask AI for:

  • “What is the product, in one sentence?”

  • “What’s the token’s job?”

  • “What are the biggest promises?”

  • “What would have to be true for this to work?”

Example prompt:

“Summarize this whitepaper in 10 bullets for a beginner. Then list 5 ‘hard questions’ the team must answer to prove this is real.”

That last line matters. AI becomes my skeptical friend 😄 

4.3 AI + trend scanning

I have been recommending checking trending projects on places like CoinMarketCap, DexTools, X, and PinkSale.

And I still do, but I would add another step: using AI to keep me grounded:

• “What are the top 3 narratives behind these trending tokens?”

• “Which ones are pure meme vs which claim utility?”

• “What is most likely to be temporary hype?

Remember to add the dates so you can get the newest updates from AI.

Here is the results on DefiLlama, a narrative tracker website which also shows similar results to what ChatGPT has given me. Where meme, RWA and AI driven cryptos are still the most trending narratives at this point with their prices are going up and the trading volumes are signicantly high.

5) Using AI to verify projects (the part that saves money)

This is where beginners level up with AI’s help.

I treat verification like crossing the road:

• Look left (official sources)

• Look right (on-chain proof)

• Then cross (only if it checks out)

5.1 “Source of truth” habit: CoinMarketCap + CoinGecko

CoinMarketCap and CoinGecko are treated as the biggest “source of truth” platforms for token data and discovery.

Even if a token is new and not listed yet, these platforms can help you later confirm:

• Official website

• Social handles

• Circulating supply / max supply

• Markets and volume

And if you’re building a project, getting listed is a major credibility step. CoinMarketCap’s support docs also stress that the online submission form is the only way to request listings/updates.

CoinGecko similarly uses request forms for token/coin listings.

5.2 Contract address verification (how fake tokens trap beginners)

A classic trap: scammers create a token with a familiar name (like “USDT Bonus” or “SHIB 2.0”) so beginners might buy the wrong contract.

So here’s how I use AI as my “bread and butter”:

• I give AI the links, then I will use CMC/CG + explorer

• I ask AI to tell me what to verify, not what to buy

Example prompt:

“I’m about to swap for USDT on BNB Chain. Tell me the verification steps to ensure I’m using the real USDT contract for this chain, and not a fake copy.”

AI won’t magically “know” the truth every time. However, it will remind you of the process:

• Confirm chain

• Confirm contract from trusted listing

• Confirm the explorer matches

• Avoid random Telegram links

That process is what protects you.

My honest wrap up 🌯 

If you take one thing from Lesson 7, it’s this:

AI doesn’t replace your judgment. It upgrades your judgment - if you use it to ask clearer questions and verify with real sources.

Coins like BTC/ETH/BNB are easier to research because they’re established. Tokens move faster and can be copied, faked, and hyped easily so AI becomes your “calm voice” that forces process:

• Summarize

• Compare

• Extract risks

• Verify contracts

• Cross-check sources

In the next lesson, I will collaborate with AI and use it for something more exciting: turning AI into a “co-founder” to help you shape a clean token concept (name, story, simple tokenomics) the right way so you can start printing some money 😂

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