Raw LLM Responses
Inspect the exact model output for any coded comment.
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G
No. Sam is innocent. Elon cut wires. Many others AI. Sabotaged them. True. Took …
ytc_Ugy-OBK8q…
G
AI Bros are all predatory, I mean they're stealing after all, but just look at h…
ytc_Ugz7GuHTg…
G
Real soon men. We will have one of those ai lady’s who will love you honor you n…
ytc_UgxaZ20AZ…
G
ai will wipe out the working class and that will be great because those who dont…
ytc_UgxxAt9dL…
G
If I had a nickel for how many AI short films came out on YouTube featuring pred…
ytc_Ugx4uxGcZ…
G
Meanwhile, both ChatGPT and Antrhopic are reales8ng their respective health apps…
ytc_UgwtIu_Ur…
G
Not convinced with AI but I have something similar that I
"Fully control." Inte…
ytc_Ugx5b3yrM…
G
at least AI did 60-70% of the tasks, better than some tickets keep rerouting, et…
ytc_UgwefNrtH…
Comment
Recently I have dev a new prompt .
I find that if your having a long session. Even I can forget and make many miss turns and even forget to use a object oriented methodology or even pick the right one .
I also leave projects and sessions and have to return to the complexed code and maybe even forget where I was .
So these long sessions and many code changes and total development with a model can become " let's abandon this chat and cut and paste to new chat ... " Which also changes it's jab it's for this project ..
So now .
I ask the model to review the application on a podcast style . IE create a podcast for this project . Let's discuss what future services and features which may need to be added and which parts of the code could be for from refactoring without loosing functionality .
What are the best approaches for this task and how could it be done better . Should this project be abandoned ? Is it a useful library or should it be a API ?
How should we implement this app and which methodologies should we use ?
Based on. This foresight how should we proceed ... Should we refactor or rebuild with these new suggestions and practices mind?
The model will whistle and buzz ...
A produce a very good project outline and discussion ( maybe a few episodes ) as well as a planning strategy ?
Any identified bugs or concerns . With some suggested reactions or structural changes . A full upgrade or rebuild pathway .
The basic implementation or full implementation. Of your app .
Often it will convert many things in to the plugin pattern and decorator patterns and builder factory's.
Etc .
Making it easy to use later ! Or upgrade without damaging the core app .
It often identifys this as the main cause or problems . So removing the core app . And componetozing all other services making your app more pmuginable ..
Often it will praise the work or idea ,or berate the implementaion etc .
The podcast it produces is really professional and discussions are amazing as it seems to simulate You ! And a architect or developer and a interviewer ( IE the architect is the AI / the developer is you . And the Interviewer is the reasoner ! ...
The discussion, is also like a sprint in which it tells you where you are and where your focus should be .
It generally fully upgrades and refactors your app very professionally !
It will also go online to discover other apps which are similar and implement potential future services optionally ...
I mean ! Just ask it to discuss and create a podcast about your app ! ....
Use that podcast to prompt the model ! And it produces spectacular work ! ... You will be super amazed !
I use qwen ! And it's changed the quality of qwens outputs with me in all my future sessions ... It was like I unlocked it !
youtube
AI Jobs
2026-02-14T05:3…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | resignation |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgyOshOj1afKsFSUmYZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytc_UgyeYoJDZoAqfjALb5V4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgypJoTO9yRsshKbTK14AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwqNgYyydVRycVER8Z4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugytkky0W_u9mqrO20l4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugy8bxABWGGtp85HQCZ4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugz7S7A-TBV-YONUFkd4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugy3t3R_gKbKmtG9F7t4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytc_UgyUiolcQqZgXGE_NRR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugy3wmyNYcce1U1_Ihx4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"resignation"}
]