🔗 I Connected ChatGPT to Smart Contracts. What Could Possibly Go Wrong?

TL;DR: I wanted to teach GPT how to interact with Ethereum. The result? An agent that can parse ABIs, call contract methods, and almost sent $50 to a random wallet. Almost.

🤖 Why Put LLMs Into Web3?
I work at the intersection of AI and blockchain, and lately I’ve been wondering:
we still write contract.methods.transfer() manually,
while LLMs already build entire backends for us.

So I built a prototype AI assistant that can:

Read ABI files;

Interpret method signatures and data types;

Act as a CLI helper or Telegram bot to interact with contracts for you.

⚙️ Mini Stack
Node.js + ethers.js — to handle contract interactions

OpenAI API — to parse ABI and generate code

Express.js — simple interface to test commands

🧪 Test #1: Reading Contracts
I started with the ABI of USDT (classic ERC20).
Fed it to GPT-4 and asked:

"What does the method transfer(address,uint256) do?"

LLM answered:

“This method sends tokens from the current account to a specified address…”

✅ It worked. But GPT started hallucinating about return values and gas costs — so I tuned the temperature down.

🧨 Test #2: Executing Transactions
Next step: use LLM to generate the full transfer code.
Prompted with something like:

“Send 50 USDT to this address…”
→ await contract.transfer("0xabc...", ethers.utils.parseUnits("50", 6))

Then the chaos began:

Wrong decimal assumption (USDT uses 6, GPT assumed 18)

Address was missing the 0x

At one point it suggested sending the entire balance via signer.getBalance()

🧠 Lesson:
AI is a great co-pilot — but never let it hold the keys. Not yet.

🔐 What's Next?
No, I’m not giving GPT my private key.
Transactions are only executed after explicit user confirmation.

But imagine an AI acting like a DevOps assistant for Web3:

Listing methods;

Fetching logs;

Running gas estimates.

Right now it’s just a CLI toy — but I already see the real-world use cases:

DAO dashboards;

AI interfaces for trackers (integrating with WhiteBIT API maybe? 👀);

Voice control for non-coders: “send 20 tokens to Alex.”

📌 Final Thoughts
Merging LLMs with Web3 is like handling two fireballs —
don’t leave them unattended,
but if you train them right, they could be the future of crypto UX.