Deploying intelligent AI Agents on the blockchain—where do you get stuck?

This is the most concern for Web3 developers. To truly run AI on-chain, several hurdles must be overcome.

First is black-box reasoning—you find it hard to see how exactly this AI model thinks. It provides answers, but the entire decision-making process remains a mystery. For on-chain verification, this is a nightmare.

Next is the risk of prompt manipulation. Hidden instructions sound terrifying—attackers could cleverly craft inputs to make the AI do unexpected things. Once executed on-chain, the consequences are unpredictable.

There’s also the issue of result verifiability. Blockchain emphasizes "provability," but how can the AI’s output be proven to be genuine and trustworthy? Currently, there’s no universal verification mechanism; it’s still a blank slate.

Finally, safeguarding model weights. Your AI model might be valuable—how to deploy it on-chain without exposing core parameters? This involves privacy, competitive advantage, and the risk of reverse engineering.

These obstacles are like the significance of SSL for e-commerce back then—we need a complete trust infrastructure. Once these issues are solved, AI Agent applications on the blockchain will truly take off.