First deployment

openspec/specs/context-aware-image-selection-recovery/spec.md

@@ -5,19 +5,20 @@ Canonical specification for context-aware-image-selection-recovery requirements
 ## Requirements
 
 ### Requirement: Context-aware image query generation
-Image refetch SHALL construct provider queries from article context including keywords and mood/sentiment cues.
+Image refetch SHALL construct provider queries from article context by identifying main subject keywords from headline and summary content.
 
 #### Scenario: Context-enriched query
 - **WHEN** a queued article is processed for image refetch
-- **THEN** the system derives query terms from article headline/summary content
-- **AND** includes mood/sentiment-informed cues to improve relevance
+- **THEN** the system derives main-subject query terms from article headline and summary
+- **AND** includes relevance-supporting cues for improved candidate quality
 
 ### Requirement: AI-domain fallback keywords
-When context extraction is insufficient, the system SHALL use AI-domain fallback keywords.
+When context extraction is insufficient or confidence is low, the system SHALL use AI-domain fallback keywords.
 
 #### Scenario: Empty or weak context extraction
 - **WHEN** extracted context terms are empty or below quality threshold
 - **THEN** the system applies fallback terms such as `ai`, `machine learning`, `deep learning`
+- **AND** continues candidate search with deterministic fallback ordering
 
 ### Requirement: Generic AI fallback image on terminal failure
 If no usable provider image is returned, the system SHALL assign a generic AI fallback image.