ADR-007: AI-Driven Cognitive Extension Layer

Status: Accepted Version: 1.0 Date: 2025-10-01 Supersedes: N/A Related ADRs: N/A Related PRDs: PRD-008, PRD-009

Context

The need to amplify human cognition, manage attention, and guide intention within the enterprise through AI-generated support.

Decision

Introduce a Cognitive Extension Layer that dynamically generates and recommends cognitive artifacts to users, driven by an AI chatbot recommendation algorithm.

Rationale

This layer directly addresses the Knowledge, Attention, and Intention Economies by providing real-time, context-aware cognitive support. Cognitive artifacts (e.g., structured notes, checklists, diagrams) help users process information, make decisions, and execute tasks more effectively.

Alternatives Considered

Static Knowledge Bases

Rejected - Lack dynamic adaptability to real-time conversational context and user needs.

General-Purpose AI Assistants

Rejected - Lack domain-specific grounding and ability to generate structured, actionable artifacts.

Constraints

• MUST generate cognitive artifacts dynamically based on context
• MUST provide real-time, context-aware recommendations
• MUST ground recommendations in domain-specific knowledge
• MUST NOT overload users with excessive recommendations

Quality Attributes

• Enhanced human-AI collaboration
• Improved decision-making
• Reduced cognitive load
• Increased productivity
• Personalized cognitive support

Bounded Contexts Impacted

• Cognitive Extension Layer
• Knowledge Layer
• Semantic Core

Consequences

Positive

• Enhanced human-AI collaboration
• Improved decision-making
• Reduced cognitive load
• Increased productivity
• Personalized cognitive support

Negative

• Requires sophisticated context analysis and recommendation algorithms
• Potential for cognitive overload if recommendations not well-tuned
• Ethical considerations around AI influence

Additional Notes

✅ MVP