Raw LLM Responses
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in
Always friendly answers, but not always what you need in the specific context. A…
7469441951348…
in
What feels especially important is that AI progress is no longer advancing along…
7463394756983…
in
Another reminder that innovation without human dignity eventually becomes extrac…
7464315932216…
in
Too real. AI can be wrong with the confidence of a senior consultant and then ge…
7467572205946…
in
Pascal, this reframe cuts right to it. In enterprise GTM and CS contexts, I see …
7465279438583…
in
AI won’t replace leaders. It will expose organizations that lack governance, vis…
7465398484502…
in
Incredible pace of progress and some genuinely important breakthroughs especiall…
7463386122656…
in
Luís Rodrigues Great breakdown. One thing I would add: in enterprise AI, the wea…
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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."
}
```