Raw LLM Responses
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in
The EdTech point 👏🏾 If the systems being deployed in learning environments carry…
7464925358849…
in
This is one of the more brutal, honest responses that I ever heard in my life. I…
7464985917116…
in
yeah the “AI layers” metaphor lands. i’ve learned the hard way that if you skip …
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in
This is what happens when companies don’t truly understand what they are getting…
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in
I was devastated to know my interactions with your staff were less than satisfac…
7465381161993…
in
My original post got enormous interest 100s of likes and more than 40 reposts an…
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in
Imagine explaining your job in 2036: “I don’t build products anymore - I generat…
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in
A really important perspective on how AI is changing the value of work rather th…
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Comment
The agent-reasoning and agentic_rag implementations in this repo are standout features. I'm currently deep in the trenches building an agentic RAG system for the AWS Well-Architected Framework, and moving past simple retrieval to 'Cognitive Architectures' (like ReAct or CoT) is where the real value is. It’s one thing to get an LLM to chat; it’s another to build a harness that ensures data integrity across 3,000+ chunks. Great share!
LinkedIn
AI Products & Tools
AI Engineer · Building LLM-Powered Systems & Se…
2026-05-07T14:2…
Coding Result
| Dimension | Value |
|---|---|
| Primary value | beneficence |
| Secondary value | none |
| Alignment target | individual_users |
| Stance | optimistic |
| Emotion | approval |
| Value justification | The speaker values AI that can actively promote human wellbeing and flourishing by enabling the development of complex systems like agentic RAG, which can ensure data integrity and provide real value. |
| Target justification | The speaker is focused on their own project and learning experience, indicating that the target of AI alignment is the individual user, in this case, themselves as a developer. |
| Coded at | 2026-06-11T07:55:00Z |
Raw LLM Response
```json
{
"value_primary": "beneficence",
"value_secondary": "none",
"target": "individual_users",
"stance": "optimistic",
"emotion": "approval",
"value_justification": "The speaker values AI that can actively promote human wellbeing and flourishing by enabling the development of complex systems like agentic RAG, which can ensure data integrity and provide real value.",
"target_justification": "The speaker is focused on their own project and learning experience, indicating that the target of AI alignment is the individual user, in this case, themselves as a developer."
}
```