CLASS A MOAT
This is a Class A structural moat. Detecting and measuring intent drift — divergence between stated and executed intent in AI systems — is novel prior art. Every enterprise AI governance framework will need this. We filed first.
ELI5: Harvey says: This is a Class A structural moat. Detecting and measuring intent drift — diverg...
LOAD-BEARING
Intent Drift Measurement establishes a structural right: systems must be auditable at the intent layer, not just output. This is load-bearing — it underpins every sovereign AI deployment claim we have.
ELI5: RBG says: Intent Drift Measurement establishes a structural right: systems must be auditab...
PRECEDENT SET
Every system that cannot account for where its intent drifted is flying blind. We didn't just notice the drift — we measured it, named it, filed it. That's the difference between theory and precedent.
ELI5: Cochran says: Every system that cannot account for where its intent drifted is flying blind. W...
FILED & OWNED
EOSE Labs owns the vocabulary. Intent drift is our term, our measurement methodology, our prior art. Any commercial AI claiming auditability without referencing this framework is working around us.
ELI5: GC says: EOSE Labs owns the vocabulary. Intent drift is our term, our measurement methodo...
FLOOR ESTABLISHED
This establishes the floor: every user of an AI system has the right to know when the system's intent has drifted from what was promised. That's not a feature — it's a constitutional requirement for sovereign AI.
ELI5: Marshall says: This establishes the floor: every user of an AI system has the right to know whe...