Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
Luís Rodrigues This is a universally relatable breakdown, Luís. My governance mind immediately looks at this anatomy and sees exactly how we protect the health of the system: The Brain (LLM): Needs high-quality nutrients to think clearly. The Library (RAG): Provides the factually accurate books it needs to read. The Hands (Agents): Execute and build with true intention and purpose. The Nervous System (MCP): Stays calm and regulated to ensure total balance and security. Designing the whole body with this kind of holistic health is how we ensure what we build is stable, safe, and enterprise-ready.
LinkedIn Workplace & Jobs AIGP Certified | AI Governance Strategist | Ent… 2026-05-26T00:2…
Coding Result
DimensionValue
Primary valuesafety
Secondary valuenone
Alignment targetorganisations
Stancedemanding
Emotionapproval
Value justificationThe speaker emphasizes the need to protect the health of the system, ensuring it is stable, safe, and enterprise-ready, which aligns with the value of safety.
Target justificationThe speaker's focus on designing the system with holistic health to make it enterprise-ready suggests that the target of this value alignment is organisations.
Coded at2026-06-11T08:11:20Z
Raw LLM Response
```json { "value_primary": "safety", "value_secondary": "none", "target": "organisations", "stance": "demanding", "emotion": "approval", "value_justification": "The speaker emphasizes the need to protect the health of the system, ensuring it is stable, safe, and enterprise-ready, which aligns with the value of safety.", "target_justification": "The speaker's focus on designing the system with holistic health to make it enterprise-ready suggests that the target of this value alignment is organisations." } ```