Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
Yes, organizations purchased AI licenses across teams without fully evaluating where they truly fit or add value. As a result, many employees have access to AI tools but barely use them. Some use them only like a Google search engine, while others use them without proper context or prompting. Because of this, AI budgets are getting exhausted very quickly. Now organizations are beginning to realize this challenge and are asking teams to follow specific guidelines for using AI more efficiently and with lower token consumption.
LinkedIn Workplace & Jobs Lead DevOps Architect | Driving Secure Azure Pl… 2026-05-28T04:1…
Coding Result
DimensionValue
Primary valueeconomic_equity
Secondary valuenone
Alignment targetorganisations
Stancecritical
Emotionindifference
Value justificationThe speaker highlights the inefficient use of AI tools and the resulting exhaustion of AI budgets, implying a concern for the economic viability of AI adoption.
Target justificationThe speaker specifically mentions organisations and their teams, indicating that the target of the value alignment is the companies that are adopting AI technology.
Coded at2026-06-11T08:26:22Z
Raw LLM Response
``` { "value_primary": "economic_equity", "value_secondary": "none", "target": "organisations", "stance": "critical", "emotion": "indifference", "value_justification": "The speaker highlights the inefficient use of AI tools and the resulting exhaustion of AI budgets, implying a concern for the economic viability of AI adoption.", "target_justification": "The speaker specifically mentions organisations and their teams, indicating that the target of the value alignment is the companies that are adopting AI technology." } ```