The prompt interpreter with the reasoning questioner models , before the prompt get to the main agent is key. Just typing "NOT PERFECLTY" pushes the output in the lower probabilities...
The crazy stuff is that there are many simple things , that are slowing us toward AGI , and one of them are "THE AI COMPANIES" , the prompt interpreter and the critical thinker , are needed for the first refine. Then the planner , etc validator , maybe a loop or many until is good. Then , and only THEN , the model will be feeded to the main ai "Coder,Researcher" etc etc.... Why because , we can make complex prompt , but we are not leveraging the fill in part of ai...
We need to unite and put the "BASIC AI INTERFACE UP / GUI" . If the model know what keywords triggers and do to itself , it can give a more polished results. EG. It will not leave guessing spaces , but it will fill them with the users questioning model. ! You can vibe code a basic promptflow easy so your agents never gets raw signals. And even for a coder agent , the flow you can use to to invoke special dedicated flows chain of actions with strict rules that are """""""LAGUAGE BASED""""""""" Is all about the ARCHITECTURE !
I am building so many stuff,,.i even vibecoded and openclaw pixel art agentic pannel dashboard for agents pc stats lm stats model config changes etc.... like this is what we are missing....
I SEE GITHUB REPPOS HAVE VARIATIONS , BUT I THINK WE NEED LIKE UNIVERS UI , THAT YOU CAN ADD UP STUFF ........... LIKE THE IDEA SPACEAGENTS. IDK , IF ALL PEOPLE OPEN SOURCING THIS STUFF JUST UNITE IN A DIPLOMATIC WAY TO TALK AND VOTE INFORMATION AND BULIDING OF THIS , WE COULD ALL HAVE THIS APP BEFORE SUMMER. MAY AGI SINCE WE HAVE THE HARDWARE. THE PIPLE IS THE GAP , the ARCHITECTURE , becuase AI NOW HAVE MORE THAN AVERAGE HUMAN INTELLIGENCE , IT JUST NEED MORE DATA FAST ACCESS AND WITH RELEVANCE , ACTIVE CONTEXT VS MEMORY CONTEXT ETC THAT ARE ALL PART OF 1 BIG CHANGING CONTEXT EVERY CHANGE>.......144000 context , is a context that you can run AGI with a good model , maybe not one of 2026 but 2027 model on local gpu , could go agi..... And maybe to some deggre the 1-3B paramater models. i will post in my github repo the name is the same as here think with the right architecture and inclusive coding , ai can have a level of prediction that it can predict our next words and it will , live , and it will be terryfing XD.... it can be done possible now by the way.... anyway i will
for what i prompted gpt 5.5 today if result i will keep updated XD :
ANK YOU SO MUCH , LOOK AT THIS OPENCLAW I SET UP WITH THIS QWEN 3.6 27B model ! SO PLEASE TO GIVE YOU A TASK FIRST YOU MUST UNDERSTAND MY SYSTEM WHERE YOU ARE , AND EVERYTHING HOW IT WORK ETC ETC IN DETAIL AND IF YOU WANNA TEST IT ,
you have this model , since i can use you max every 5 hour , max 10-15 prompts ! Maybe reading this good will take 10 prompts !
But if you plan plan it good , so we will finish the work fast but most important correctly .
ht tp:// 19 .1 68.0.21 9 :808
qwen3.6-27b-uncensored-hauhaucs-aggressive
My vibe is this :
The prompt interpreter with the reasoning questioner models , before the prompt get to the main agent is key. Just typing "NOT PERFECLTY" pushes the output in the lower probabilities...
The crazy stuff is that there are many simple things , that are slowing us toward AGI , and one of them are "THE AI COMPANIES" , the prompt interpreter and the critical thinker , are needed for the first refine. Then the planner , etc validator , maybe a loop or many until is good. Then , and only THEN , the model will be feeded to the main ai "Coder,Researcher" etc etc.... Why because , we can make complex prompt , but we are not leveraging the fill in part of ai...
We need to unite and put the "BASIC AI INTERFACE UP / GUI" . If the model know what keywords triggers and do to itself , it can give a more polished results. EG. It will not leave guessing spaces , but it will fill them with the users questioning model. !
i will use this model eventually , i was using this now , and i want to use it all day long with multiple agents but the same agents , it just uses different session , different context , since in LMSTUDIO you can run parallel inferences up to 4 :
so you can also make them work faster , eg. the corrector , expander/refiner/rephraser etc, but put them so is like prompt interpreter first , because if tool , also the grammar corrector should use spaces character very carefully if command etc , if poetry differently , if vibe code differently , etc etc if assistant differently , and so much more.....
ALSO AN ACTIVE ONE THAT JUST TALKS BACK WITH YOU , THAT IS THE MAIN , HE DONT GENERATE , HE IS LIKE A HUMAN. HE TALK WITH ME " SO THE LOCAL MODEL " And all it do is manage memory environment , agents , orchestration etc... Like ,. you know i will tell you i just gave you this as initial context !
and then go read the full architecture , set it up so we can start and test this live , but for now JUST READ MINDFULLY , AND AFTER THAT JUST SAY YOU DONE . IF ANYTHING NEED FIXING AFTER FULL READ BASED ALSO ON THE OPENCLAW DOCUMENTATION ONLINE THEN , DONT GIVE ME DETAILS FIX WHAT IS NEEDED FOR THIS SYSTEM TO SET UP , OVERIDE EVERYTHING , THIS IS FOR PERSONAL LOCAL USER , NOT BUSSINES NOT COMPANY , MAYBE I WILL OPEN SOURCE IT 100% YES if its good.... AND , we need to BE VERY MINDFULL IN KEEPING CONTEXT RELEVANCE . BUT FAST AS FUK BOIII..... the best , the optimal prime architecture !
Imagine a mind alive , an "context " of the main , that know what is going on NOW , and it have memory.... And also can recall an manage what to keep in the context , this will be the KEY , so he is talking with the user even if the prompt process is ongoing etc..... and can also be prompted live with voice to suggest the questioning system .... make it big an interface .
IDK WHAT TO DO TO MAKE AROUND OPENCLAW < SINCE IT HAVE MOST OF IT ALREADY IN IT !
LETS JUST READ WHERE YOU IN !
FIX THE OPENCLAW LIKE IT IS DONT ADD UP ON IT JUST REFINE CORRECT WHAT IS ERROR OR BUG OR SOME BAD SETUP BASED ON THE DOCS .
Also here C:\Users\besi9\OneDrive\Desktop\R7
in this folder is a kind openclaw clone ... and if we can warp it around this also it would be very good. you have also there a folder DASHBOARD , it have a dashboard that i want to implement a mission control , many rooms and big view rooms divided .... you can see individualy and together , and animation like lights travels when agents sends prompt to one another , or visuals when idle doing task complete task etc , like visual info not just animationsfor fun.... but keep the pixel minimal style.
BUT NOW JUST READ AND SEE WHAT YOU CAN DO AND TELL ME , TO GO FOR , if local here where we gonna build it , C:\Users\besi9\OneDrive\Desktop\O-RION
!
So read and reason !
and reploy short oon telegram