PRD-009: Context-Aware Recommendations

Type

Functional

Priority

Critical

MVP Status

✅ MVP

Requirement Statement (EARS Format)

As the Artifact Engine, I want to receive a comprehensive analysis of the current user and task context, so that I can provide highly relevant and personalized cognitive artifact recommendations.

User Story

As an AI Agent, I want to understand the user’s current project, role, and recent activities, so that my recommendations are tailored to their specific needs.

Acceptance Criteria

AC-009.1: Rich Context Integration

• Given a user’s input and current conversational state
• When the Context Analyzer processes this information
• Then it shall integrate data from the Knowledge Graph and Domain Services to form a rich context

AC-009.2: Aligned Recommendations

• Given a rich context
• When the Recommendation Algorithm evaluates potential artifacts
• Then the top recommendations shall be directly aligned with the user’s explicit and implicit needs

Dependencies

• Context Analyzer
• Knowledge Graph Service
• Domain Services

Related Specifications

• ADRs: ADR-005, ADR-007, ADR-009
• Reference: CADSL Language Specification

Success Metrics

• Relevance score of recommendations
• Reduction in irrelevant recommendations