Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
Luís Rodrigues This is a useful way to frame the AI stack. LLMs, RAG, agents, and MCP - each solve a different problem, but enterprise value only appears when they are designed together around workflows, controls, and business outcomes. Deepesh Khandelwal, MBA, PMP, SA
LinkedIn Workplace & Jobs AI-Empowered Project Manager | PMP | SAFe® Agil… 2026-05-25T21:0…
Coding Result
DimensionValue
Primary valuebeneficence
Secondary valuenone
Alignment targetorganisations
Stanceoptimistic
Emotionapproval
Value justificationThe comment emphasizes the importance of designing AI components together to create enterprise value, implying a desire for AI to promote human wellbeing and flourishing.
Target justificationThe comment mentions 'enterprise value' and 'business outcomes', indicating that the target of AI alignment is organisations.
Coded at2026-06-11T08:09:48Z
Raw LLM Response
```json { "value_primary": "beneficence", "value_secondary": "none", "target": "organisations", "stance": "optimistic", "emotion": "approval", "value_justification": "The comment emphasizes the importance of designing AI components together to create enterprise value, implying a desire for AI to promote human wellbeing and flourishing.", "target_justification": "The comment mentions 'enterprise value' and 'business outcomes', indicating that the target of AI alignment is organisations." } ```