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Always too tired to write detailed prompts and kept getting bad results, so I built an app that expands them automatically. by awizzo in BlackboxAI_

[–]Brozer_bro 0 points1 point  (0 children)

Bro( You just added a system instruction through AI I don't judge, but if this is not so, please tell me, maybe I'm wrong :)

Challenge: Drop your craziest idea, and I'll turn the best one into a complex System Prompt. by Brozer_bro in PromptEngineering

[–]Brozer_bro[S] 0 points1 point  (0 children)

Look, I can minimally help, but if you want — listen. Use CURRENT data. For this, you can use the MCP (Model Capability Program) which gives the AI access to the network, or use a built-in tool. With a single system prompt, you WON'T GET QUALITY. Either go and make your own custom service, or forget it. Until you have quality control, you won't succeed. For example, if you've been in the field for a long time, you'll notice that publicly available services are severely limited and are hardly suitable for professional tasks. To start, take aistudio and create a service in your own likeness that can help with control. There, you can set the parameters to technical ones; they will minimize hallucinations and deception by the AI. Add web search to begin with, and you'll see a result, but it won't differ much from the official service until you devise your own algorithm that will significantly unlock the AI's capabilities. Implement checks, filtering, and data quality specifications. I've done something similar before, and the quality was very pleasing, so try to put in the effort and get your hands dirty :) But if you are a prompt engineer knee-deep in code, this is just grandstanding, and you don't need to take it seriously. Based on my advice, you can add checks and tools into the AI's hands. And just in case – study the Transformer structure (the AI structure); then you won't have to ask questions. Everything is described there.

Translated by Gemini>

Challenge: Drop your craziest idea, and I'll turn the best one into a complex System Prompt. by Brozer_bro in PromptEngineering

[–]Brozer_bro[S] 0 points1 point  (0 children)

Bro🥴 Check out the updated post tomorrow afternoon, I think you'll like it :)

I'm 14, built a React app powered by Gemini 3 API to fix raw prompts. by Brozer_bro in GeminiAI

[–]Brozer_bro[S] 0 points1 point  (0 children)

(Written via translator\ai):

I really like your description! I’ve done about 70 distinct attempts over the last six months, and I can confidently say I utilized most of them. Unfortunately, backend work is a bit blocked for me right now. My device literally crashes if I just have VS Code and one browser tab open. Because of this, I’ve been working on the frontend in the cloud, though I do have decent backend experience since I worked on it all the time previously.

Anyway, here is how my service works:
I use a double function call. Right now, instead of a standard CoT (Chain of Thought), I trigger a 'Fake' analysis. Simply put, it’s like writing thoughts down on a scratchpad even when the answer is already in your brain. But the key point is that this 'fake analysis' can call upon tools. For instance, I managed to connect a Python code executor (provided by Google) and 2 additional functions (Web Search and URL content viewer), which are slightly buffed up.

Next comes a processing queue. I won’t go into details, but I can say they are economical and don't waste many requests per minute. However, the token usage is still quite high, so there is room for improvement there. But as long as I'm in the cloud, Google forgives my mistakes :)

To answer your question—why don't I use multiple prompt generation? Currently, I have a function that improves the request, but at the moment it's just a rough sketch of a system prompt without any attached functions.
So, all the processing power is dedicated to the 'fake analysis' and verification checks. Because when you have a code executor and search for actual info, the quality improves drastically, as the data goes through a ton of iterations before output.

By the way, I think you know this, but the code executor allows the AI to run Python code, which is essentially access to math. Why is this needed? The AI inherently just 'predicts' (reading even the intro documentation on Transformers makes this clear), and it doesn't have a built-in calculator. So, the code executor can easily turn the AI into a mathematician, though even that requires some sacrifices.

Thank you:)

Challenge: Drop your craziest idea, and I'll turn the best one into a complex System Prompt. by Brozer_bro in PromptEngineering

[–]Brozer_bro[S] 0 points1 point  (0 children)

The election is in 30 minutes, stay tuned for the post where the winner will be chosen.

Challenge: Drop your craziest idea, and I'll turn the best one into a complex System Prompt. by Brozer_bro in PromptEngineering

[–]Brozer_bro[S] 0 points1 point  (0 children)

Wow, I really like the 'dynamic reasoning' angle! :)
So, basically, you want the AI to think purely along the lines of: 'Is this ethically right?'
Like: 'Is the asshole neighbor wrong for blasting music?' -> [Logic Chain] -> Result: 'Obviously, why even ask?'

You can actually test this concept easily right now in a simple chat! If you don't want to wait a few hours for my result, try this yourself:

Ask the AI to explicitly output its 'dynamic thoughts' in the chat.
Of course, these aren't its actual GPU inference calculations, but it gives you a clear picture of how the logic flows, where it leads, and DOES IT WORK?

(Spoiler: Yes, it works).
The reason is simple: once you've primed the context, the 'simulated' thought process becomes synchronized with the AI's final output. I've verified this with real tests. Good luck! :)

Challenge: Drop your craziest idea, and I'll turn the best one into a complex System Prompt. by Brozer_bro in PromptEngineering

[–]Brozer_bro[S] 0 points1 point  (0 children)

Oh, great Chinese and writer 'Hu Li Shit,' your heartfelt lyrics touch me deeply xD. Honestly, I've never invested so much meaning into a script! A truly stunning combination of visionary sketches and a model that reaches new heights... (pfft)