In the past three months, I have transitioned from traditional Web3 development to the ForgAI platform, experiencing its technological paradigm shift firsthand. Specific implementations include:

AI Contract Writing: Calling the PyTorch model library in the Remix IDE to add dynamic generation algorithms for NFT projects.

Seamless Deployment: The compiled front-end contracts are automatically deployed to the IPFS network, with the CID directly written into the contract metadata.

Economic Integration: The system automatically injects the $ForgAI token economic layer into applications—users pay part of the fees in tokens, with 3% going to the burn contract.

Compared to Four.meme (which we used for standardized domain services) and Flap.sh (which we tested for its curve model), ForgAI's breakthrough lies in: it transforms AI capabilities from an "add-on feature" to a "core protocol," allowing developers to complete the entire process from AI model training to DApp economic design without jumping between multiple platforms. The most intuitive experience is: after holding $ForgAI, my test network API call costs drop to zero, and watching the continuously rising burn amount on the token burn data panel finally helped me understand the new meaning of "development is mining" in the AI era.

Contract Address: 0x3e9fc4f2acf5d6f7815cb9f38b2c69576088ffff

The platform's documentation has included 47 practical case studies covering three major fields: DeFi, GameFi, and generative art.

#ForgAI