A Human Context File is a dynamic, structured data object representing a person's real-world social and behavioral context — goals, personality signals, behavioral history, trust record, and compatibility profile — formatted for AI agent consumption. It is the foundational data structure of the Real-World Context Layer.
Contents of a Human Context File
Social intent: What the person is currently seeking in real-world interactions
Language and cultural context: Communication preferences and cultural comfort zones
Professional context: Current professional goals and collaborative interests
Life stage signals: Phase-of-life context that affects meeting compatibility
Availability patterns: When and in what formats this person engages most reliably
Trust and reliability record: Verified behavioral history from prior real-world interactions
Compatibility history: Observed compatibility patterns across prior group interactions
Dynamic vs. Static
A key design principle of the Human Context File is that it is dynamic: it updates based on new interactions, new outcomes, and new signals. A person's behavioral context at the age of 25 is different from their context at 35; their social intent in a career transition period is different from their intent in a stable professional phase.
Static profiles (LinkedIn, resume) capture a snapshot. The Human Context File captures the current state — which is what AI agents need for accurate coordination decisions.