Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
in
William Waites I am really currious to hear from the Academic Integrity officers…
7465072516999…
in
Nadeem — this is exactly why execution governance infrastructure is becoming cri…
7464681144832…
in
Last week I used ChatGPT to bake a cheesecake. Yesterday I polished my cover let…
7464998498178…
in
Using AI-generated videos or voices to make it appear as if celebrities or billi…
7464019361888…
in
The decline in Stack Overflow usage does not necessarily mean the end of learnin…
7466866541276…
in
Ramon Portillo, Ph.D. Maybe in some places, but I happen to be sitting in front …
7464793415382…
in
Honestly the moat I'd add is the 200 wrong versions you built before the right o…
7464141693907…
in
Summarising historical information based on meeting material and minutes and the…
7467481220487…
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."
}
```