Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
Greg Manto Fair point, the pipeline connects. If the big players only build enterprise tools, the baker never sees somethinhg worth adopting. But waiting for that system to fix itself is a losing game. The baker can't lobby openai. He can learn to use what's on his counter. Both matter. But one of them he can start tomorrow morning before the oven's warm.
LinkedIn AI Policy & Regulation Ik schrap rotwerk bij mkb-teams met ai. In 2-4 … 2026-05-27T08:1…
Coding Result
DimensionValue
Primary valueeconomic_equity
Secondary valuenone
Alignment targetindividual_users
Stancedemanding
Emotionapproval
Value justificationThe comment emphasizes the importance of accessible technology for small businesses or individuals, like the baker, implying a desire for fair distribution of AI's economic benefits.
Target justificationThe speaker is focused on the baker, an individual user, and how they can benefit from AI, rather than larger organizations or society as a whole.
Coded at2026-06-11T08:22:12Z
Raw LLM Response
``` { "value_primary": "economic_equity", "value_secondary": "none", "target": "individual_users", "stance": "demanding", "emotion": "approval", "value_justification": "The comment emphasizes the importance of accessible technology for small businesses or individuals, like the baker, implying a desire for fair distribution of AI's economic benefits.", "target_justification": "The speaker is focused on the baker, an individual user, and how they can benefit from AI, rather than larger organizations or society as a whole." } ```