Blockchain

GenLayer Launches Internet Court as Open Standard for Agent-to-Agent Disputes

GenLayer has announced Internet Court, describing it as an open adjudication standard for disputes between AI agents. The press release frames the project as a way to handle disagreements in agent-driven systems through a structured decision process rather than leaving conflicts unresolved or dependent on a single party.

The announcement places Internet Court inside GenLayer’s broader pitch around “intelligent contracts,” with the system presented as infrastructure for situations where automated agents need a way to resolve disagreements. The company said the standard is intended for agent-to-agent disputes, although the release does not spell out a full production rollout, supported integrations or a broader user base at launch.

Social posts discussing the release echoed that positioning, describing GenLayer as a blockchain focused on smart contracts that need judgment. Those reactions appear to be secondary commentary rather than additional confirmation of adoption or usage.

An adjudication layer for automated systems

The clearest detail in the announcement is the scope: Internet Court is aimed at disputes between AI agents. That makes the project less about general blockchain payments or trading activity and more about a specialized decision layer for software systems that may need an external process to evaluate disagreements.

The press release does not provide a technical deep dive in the material reviewed here, so the practical limits of the standard remain important. It is clear that GenLayer is presenting Internet Court as a new coordination mechanism, but the available information does not establish how broadly it is already being used or how disputes are actually resolved in live settings.

For now, the launch reads as a formal introduction of the standard and its intended role rather than evidence of widespread deployment. That distinction matters in a sector where product announcements can move faster than real-world usage.