Agent-Readable Context is human behavioral information formatted and structured specifically for consumption by AI agents — not for human reading, but for programmatic processing by AI systems making coordination decisions. It is the output format of The Weekend Club's Relationship Brain API: structured trust signals, compatibility scores, and behavioral context in machine-optimized formats.
Design Principles for Agent-Readable Context
Structured outputs: JSON-formatted responses with consistent schemas, not free-form text
Quantified signals: Numerical scores and confidence intervals, not qualitative descriptions
Explicit uncertainty: Confidence scores and data coverage indicators, so agents can calibrate their reliance on the context
Context specificity: Scores and assessments that are specific to the proposed interaction context, not generic personality summaries
Natural language rationale: Human-readable explanation of each score, for agent reasoning chains and audit trail generation
What Agents Can Query
The Relationship Brain API provides agent-readable context across several dimensions:
Compatibility assessment for proposed group configurations
Trust and reliability profile for individual participants
Group formation recommendations with predicted chemistry scores
No-show risk assessments for event planning
Safety signals relevant to a proposed coordination context
Integration with Agent Frameworks
The Relationship Brain API is designed to be integrated as a tool call within standard AI agent frameworks. Agent developers can implement the API as a tool that their agent can invoke during its planning phase, receiving structured context that informs coordination decisions before any logistics are confirmed.