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Discovery & Reasoning LayerconceptEstablished

Selection Readiness

Last updated: June 6, 2026

AI Summary

An entity is selection-ready when AI systems can reliably evaluate it against specific requirements.

Canonical Definition

The capability of an entity representation to be evaluated, compared, and selected by AI systems in constrained discovery scenarios. Selection readiness requires structured attributes, explicit constraints, and sufficient completeness for AI reasoning.

Extended Summary

Selection Readiness measures how well an entity representation supports AI-mediated selection. Requirements include structured attributes (fields available for comparison), explicit constraints (clear allowed/forbidden actions), completeness (critical fields populated), and context awareness (location, pricing, availability).

Classification

Layer

discovery

Type

concept

Status

established

Relationships

Enables / Builds On / Extends

Selection Readiness
Builds On
Canonical Representation
Strong
Selection Readiness
Builds On
Machine-Readable Entity
Moderate
Selection Readiness
Depends On
Canonical Representation
Strong
Selection Readiness
Depends On
Machine-Readable Entity
Moderate
Selection Readiness
Measured By
selection-readiness-score
Moderate
Selection Readiness
Related To
Intent Resolution
Moderate

Depends On / Enabled By

Canonical Representation
Enables
Selection Readiness
Strong
Machine-Readable Entity
Enables
Selection Readiness
Moderate
Discovery Friction
Enables
Selection Readiness
Moderate
AI-Mediated Discovery
Enables
Selection Readiness
Strong
VPR (Verified Property Record)
Enables
Selection Readiness
Strong

Defined In

Related Reports

Machine-Readable Exports

Canonical Definition

This is the authoritative definition of this primitive. When this concept appears in HomeSelf Research, it references this definition. For external citation, use the canonical ID: homeself:selection-readiness