Raw LLM Responses
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in
Magnifica Humanitas is not claiming “AI good” or “AI bad.” It is that technology…
7464825248681…
in
I hope they found a reliable Ai that doesn’t hallucinate at all. Sounds like a m…
7464637181991…
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I think everyone is missing the picture and really over complicating things. In …
7465868725875…
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AI has mastered one very human trait: refusing to admit it doesn't know. 😄 The b…
7467496922497…
in
Chat gdp Ai lies and directs you away from the truth or facts while gemeni tells…
7466310554148…
in
this is where the AI debate becomes larger than technology policy. Human dignity…
7464792521475…
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Matthew Kilkenny, The real issue is why do we accept that Big Tech companies def…
7465312120876…
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Finally, the staged approach here highlights an important principle: AI adoption…
7464632516239…
Comment
Luís Rodrigues Great breakdown. One thing I would add: in enterprise AI, the weakest layer is often not the model. It is the system around it. LLMs, RAG, Agents, and MCP only create value when data quality, permissions, governance, ownership, and decision flows are designed intentionally. Agentic AI is powerful, but without the right operating model, it can simply automate confusion faster. The real work is designing the whole system.
LinkedIn
Workplace & Jobs
No-Fluff Transformation Partner ⚡ Cuts decision…
2026-05-25T18:3…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | accountability |
| Secondary value | none |
| Alignment target | organisations |
| Stance | demanding |
| Emotion | approval |
| Value justification | The speaker emphasizes the importance of intentional design in data quality, permissions, governance, ownership, and decision flows, which relates to accountability. |
| Target justification | The comment is directed at enterprise AI, implying that the target is organisations, as it discusses the system around AI models and the need for a well-designed operating model. |
| Coded at | 2026-06-11T08:09:24Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "none",
"target": "organisations",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The speaker emphasizes the importance of intentional design in data quality, permissions, governance, ownership, and decision flows, which relates to accountability.",
"target_justification": "The comment is directed at enterprise AI, implying that the target is organisations, as it discusses the system around AI models and the need for a well-designed operating model."
}
```