5 AI Prompts for Designing ERC-20 Tokenomics

Let me tell you about the most embarrassing mistake I almost made. I had a fully working ERC-20 contract. Clean Solidity. Audited. Deployed on testnet. Everything looked perfect technically. Then someone asked me: "What happens when the team's vesting cliff ends in month 12 and 200 million tokens hit the market at once?" I had no answer. Because I had spent three weeks perfecting the code and about forty minutes thinking about the economics. That question haunted me. And it's what sent me down the rabbit hole of using AI to properly design tokenomics before ever opening Hardhat. Why Tokenomics Is the Layer Above Your Code Here's the thing nobody tells you in Solidity bootcamps. The smart contract is the engine. Tokenomics is the physics of the road it drives on. You can write a flawless mint() function. But if your total supply is poorly designed, that function will eventually mint your project into irrelevance. You can implement a perfect burn() mechanism. But if you burn at the wrong