Meta and RealPage Releases Highlight Where AI Agent Decision Logic Should Reside

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Meta released Muse Glimmer, a 30-billion-parameter open model built to run on consumer hardware for local, always-on agent workflows supporting tool use and long-running tasks. Separately, enterprise software firm RealPage launched the Lumina AI Suite, which combines AI agents with a governed knowledge graph and institutional intelligence for real-estate operations. Together, the two releases highlight a growing architectural question: as AI models become deployable anywhere, where should an organization's actual decision-making criteria be stored and enforced. Analysts and developers are drawing a distinction between an agent knowing organizational facts and an agent knowing how the organization makes judgments, such as when to approve a vendor or escalate a decision. A proposed framework called the Judgment Pack Specification aims to make organizational decision criteria explicit and separately owned from both data infrastructure and the underlying AI model.

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