Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
in
What feels especially important is that AI progress is no longer advancing along…
7463394756983…
in
GALAXAI Solutions Accelerate your transition to an AI-native department without …
7464971626984…
in
This is a sharp observation about workflow fatigue as AI tools proliferate. The …
7466896188198…
in
"What Terence Tao is describing isn't AI doing the mathematics; it's AI handling…
7467415654153…
in
Thought-provoking perspective on the future of work. The real challenge isn’t ju…
7468020806074…
in
Congratulations Demis! We’re working on a new AI cognition model that represents…
7463652979850…
in
Václav Šulista thank you for always supporting the mission and being the first t…
7465078930551…
in
150 applications without response, is normal for many jobs, with or without AI. …
7466317691755…
Comment
This breakdown is excellent, Luís. What I see in real systems is that the “body” only works when each layer is treated as a first‐class component, not an afterthought. Most teams invest heavily in the brain (LLM) and the hands (agents), but the nervous system (MCP) is where reliability, governance, and real‐world integration actually live. LLMs think. RAG grounds. Agents act. MCP keeps the whole organism alive. Great analogy!
LinkedIn
Workplace & Jobs
Pre‑Sales & Solutions Engineering | Senior .NET…
2026-05-26T08:0…
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 treating each layer as a first-class component, implying that accountability and reliability are crucial for the system to function properly. |
| Target justification | The speaker appears to be addressing organisations or teams that develop and implement AI systems, highlighting the need for a more integrated approach to ensure reliability and governance. |
| Coded at | 2026-06-11T08:12:58Z |
Raw LLM Response
```
{
"value_primary": "accountability",
"value_secondary": "none",
"target": "organisations",
"stance": "demanding",
"emotion": "approval",
"value_justification": "The speaker emphasizes the importance of treating each layer as a first-class component, implying that accountability and reliability are crucial for the system to function properly.",
"target_justification": "The speaker appears to be addressing organisations or teams that develop and implement AI systems, highlighting the need for a more integrated approach to ensure reliability and governance."
}
```