Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
The vending machine framing is the right diagnosis. The failure mode isn't the first prompt being wrong, it's not catching the moment the model went sideways three steps later. Reviewing as you go is the expensive skill, not the prompt. Building snapfast.ai exactly this way. Fast builder next to me, but I'm still the architect, the reviewer, and the one on the hook when production breaks.
LinkedIn AI Products & Tools Product · Growth · Baltics · Too much coffee · … 2026-05-26T23:0…
Coding Result
DimensionValue
Primary valueaccountability
Secondary valuenone
Alignment targetindividual_users
Stancedemanding
Emotionapproval
Value justificationThe speaker emphasizes the importance of reviewing and testing the AI output, implying that humans must remain accountable for the final product.
Target justificationThe speaker is addressing their own experience and approach to working with AI, indicating that the target of alignment is the individual user, in this case, themselves.
Coded at2026-06-11T08:19:49Z
Raw LLM Response
``` { "value_primary": "accountability", "value_secondary": "none", "target": "individual_users", "stance": "demanding", "emotion": "approval", "value_justification": "The speaker emphasizes the importance of reviewing and testing the AI output, implying that humans must remain accountable for the final product.", "target_justification": "The speaker is addressing their own experience and approach to working with AI, indicating that the target of alignment is the individual user, in this case, themselves." } ```