The AI agent economy is quite hot right now, with everyone talking about how agents discover each other, communicate, and make automatic payments.

But what I care more about is: if these agents are really going to manage money for people, who should they actually listen to?
People trust brands, relationships, promises, or a story. Machines don’t buy that—they only care whether rules can be verified, whether conditions can be executed automatically, and whether the money ultimately ends up in an immutable hard settlement layer.
#Bitcoin has an advantage here—it’s old enough, hard enough, and stable enough, suitable as the ultimate settlement layer. But its native scripting is too limited; complex fund logic like time delays, multi-party approvals, and conditional spending is hard to run directly on L1.
#OP_CAT is being discussed again, with the core concept being covenants—hardcoding the rules for future spending in advance. Functions like time locks, multi-step verification, and conditional triggers can turn Bitcoin from a simple transfer tool into a system that supports programmable fund management.
@op_catlayer’s execution layer extends Bitcoin’s hard settlement trust to a more flexible rule layer. They use OP_CAT VM, CAT20/CAT721, and SPV proof bridges to connect execution and settlement. Their mainnet is already live, and they are putting these capabilities into practice.
Of course, @OPCATLayerCN itself hasn’t been activated on the Bitcoin mainnet yet, so these execution layers are essentially practicing ahead of time. The degree of trustlessness of the bridge and when the full covenant model will be available still need to be followed.
In the future agent economy, there may be no shortage of smart models, but what is lacking are reliable wallets and rules that never change. If an AI agent is really going to manage your assets, would you rather hand it over to the bank’s backend system, or trust the on-chain hardcoded fund rules?
What do you think? Feel free to share.