Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
Ruben Hassid This 7-day checklist shifts from passive learning to active integration. Day 3 is key: creating .md files with voice samples and banned words externalizes negative constraints, an advanced pruning technique. Without it, the model can't distinguish noise from signal. Connectors and scheduled tasks transform Claude from chatbot to executor. Week one builds it, week two maintains it. Actionable system. Next step: weekly audit of which scheduled tasks still add value.
LinkedIn AI Products & Tools Asesoro a profesionales y marcas a escalar usan… 2026-05-25T15:3…
Coding Result
DimensionValue
Primary valuebeneficence
Secondary valuenone
Alignment targetindividual_users
Stanceoptimistic
Emotionapproval
Value justificationThe commenter values AI's ability to actively promote human wellbeing and flourishing by enhancing productivity and efficiency through the 7-day checklist.
Target justificationThe target of the alignment is the individual user, as the commenter discusses how the checklist helps them to integrate Claude into their work and improve their personal productivity.
Coded at2026-06-11T08:08:50Z
Raw LLM Response
``` { "value_primary": "beneficence", "value_secondary": "none", "target": "individual_users", "stance": "optimistic", "emotion": "approval", "value_justification": "The commenter values AI's ability to actively promote human wellbeing and flourishing by enhancing productivity and efficiency through the 7-day checklist.", "target_justification": "The target of the alignment is the individual user, as the commenter discusses how the checklist helps them to integrate Claude into their work and improve their personal productivity." } ```