Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
in
"released onto an unsuspecting public" is absolutely right. I wish I saw that fr…
7465155802295…
in
Fascinating case. What I find especially important here is that the conversation…
7465453665546…
in
What stands out is how quickly AI development is moving from narrow task perform…
7463516737792…
in
Mark Wagner 😎 📈 #Bentley #Asset #Management 💥 #BAM #Alert: 📢 MU, SNDK and DRAM a…
7465423690168…
in
The deeper shift here is the move from models that respond to prompts to systems…
7463592290788…
in
This breakdown is excellent, Luís. What I see in real systems is that the “body”…
7464950955843…
in
AI should serve the common good of all humanity. Its purpose should be to expand…
7466325098623…
in
The EdTech point 👏🏾 If the systems being deployed in learning environments carry…
7464925358849…
Comment
The real shift may not be “one AI tool versus another AI tool”. It may be workflow governance. Many platforms are trying to reduce friction by putting more functions in one place. That helps. But the deeper problem is not only tool fragmentation. It is context fragmentation, decision fragmentation and execution fragmentation. The next advantage may come from systems that do not simply combine tools, but govern the full workflow: idea, context, task, document, decision, execution and continuity. In my view, the winners will not be the platforms with the longest feature list. They will be the systems that remove friction without creating new complexity for the user.
LinkedIn
AI Research & Models
Senior Consultant · Automotive & Complex System…
2026-05-31T15:4…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | beneficence |
| Secondary value | none |
| Alignment target | individual_users |
| Stance | optimistic |
| Emotion | approval |
| Value justification | The speaker wants AI systems to promote human wellbeing and flourishing by removing friction and governing the full workflow, which aligns with the value of beneficence. |
| Target justification | The speaker is focused on the user experience and how AI systems can benefit individual users by simplifying workflows and reducing complexity. |
| Coded at | 2026-06-11T08:34:28Z |
Raw LLM Response
```
{
"value_primary": "beneficence",
"value_secondary": "none",
"target": "individual_users",
"stance": "optimistic",
"emotion": "approval",
"value_justification": "The speaker wants AI systems to promote human wellbeing and flourishing by removing friction and governing the full workflow, which aligns with the value of beneficence.",
"target_justification": "The speaker is focused on the user experience and how AI systems can benefit individual users by simplifying workflows and reducing complexity."
}
```