The internet has demonstrated excellent performance in value transfer, achieving near-instantaneous, borderless execution; however, there are still significant shortcomings at the dispute resolution level.

A few years ago, I participated in a cross-border cryptocurrency project whose core relied on smart contracts to automatically execute agreements. However, the problem stemmed from biases in the data sources provided by oracles: one party benefited, while the other suffered disproportionate losses. The code operated strictly according to logic, indifferent to the fairness of the outcome. Funds were transferred, but trust was completely shattered.
This is the core contradiction of the digital economy: the execution layer has achieved high automation and globalization, while the dispute resolution layer remains stuck in traditional, slow, and geographically limited models.
When decentralized autonomous organizations (DAOs) encounter governance loopholes, parameter misconfigurations, or AI agents execute erroneous transactions, traditional judicial avenues often become inapplicable—you cannot effectively sue an on-chain entity in a local court. We have greatly automated "execution," but have almost completely overlooked the automation of "remedies" and "corrections." Without dispute resolution mechanisms suitable for the native digital environment, every disagreement could solidify into a permanent trust rift, or even evolve into community splits or permanent fund lockups.
This is precisely why I continuously focus on network-native dispute resolution mechanisms (network-native dispute resolution, or what can be called "on-chain/digital courts" frameworks).
It is not intended to replace the traditional judicial system but to provide a layer of efficient coordination and remedies for the digital economy. It can be likened to the "version control + conflict merging" process in the coding world: when multiple parties have disagreements over states or actions, structured and verifiable procedural rulings promote consensus reconciliation or loss compensation, allowing the system to continue moving forward.
To enable autonomous agents, DAOs, and on-chain protocols to securely handle hundreds of billions or even trillions of dollars in value flow, reliable execution and remedy layers must be built simultaneously where the value actually occurs. Only with both execution and remedies operating in tandem can the digital economy truly achieve trustworthy, sustainable scaling. Please see its logical framework: