Pasha

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Pasha

Pasha

@PashaBuilds

building an ai operating system for my life vibecoder • ai agents • automation

शामिल हुए Nisan 2026
121 फ़ॉलोइंग822 फ़ॉलोवर्स
पिन किया गया ट्वीट
Pasha
Pasha@PashaBuilds·
MASAÜSTÜMDE YAŞAYAN HERMES MASKOTLARI YAPTIM. her maskot hermes'in yönettiği bir cron job'ın canlı yüzü. biri x'i tarıyor, diğeri ai fırsatı yakalıyor, öteki kişisel wiki sistemim PashaPedia'yı toparlıyor, en sonuncusu da sistemin nabzını tutuyor. jarvis'in evcil versiyonu.
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Pasha
Pasha@PashaBuilds·
@0xJulianz bu tarz girişimlere öncülük edebilir hocam, aynen. umarım devamında gerçekten 10 farklı yere para ödememize gerek kalmayacak tek bir tool çıkar da hepimiz rahatlarız. düşünce güzel, ama uygulaması her zaman kolay ve efektif olmayabiliyor maalesef.
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Julianz
Julianz@0xJulianz·
@PashaBuilds aracıya komisyon ödemek yetmiyormuş gibi bir de yavaşlığını bekliyoruz, yakında her yeni dedikleri şeyin arkasından bu üçlü çıkacak
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Pasha
Pasha@PashaBuilds·
FUGU ULTRA 5 KAT PAHALI 4.5 KAT YAVAŞ AMA SONUÇ NEREDEYSE AYNI yeni model gibi pazarlandı, oysa sadece arkada opus gpt gemini koşturan bir router. opus 4.8 ile 38 testte 36 beraberlik, ama fugu cevapları kat kat geç döndürüyor. nate çok güzel anlatmış, türkçe altyazı ekledim👇
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Pasha
Pasha@PashaBuilds·
@brkguzel her zaman hocam 👋
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Pasha
Pasha@PashaBuilds·
@brkguzel hocam kapılmayacak gibi değil. bir context'te yaptığımızın diğer context'te unutulduğu günlerde bu tarz girişimler ilaç değerinde.
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Burak Kesinbilgi
Burak Kesinbilgi@brkguzel·
@PashaBuilds beni havada kaptı. henüz ödeme de istemedi. güzel bi başlangıç yaptık.
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Pasha
Pasha@PashaBuilds·
Brain² feels important because it points at the layer most teams still haven’t built: memory that lives where the work actually happens. I’ve felt this in my own setup too. When your notes, links, drafts, decisions and past experiments sit in a personal knowledge system, the value is not just retrieval. The system starts giving you continuity. It remembers why something mattered, how your thinking changed, which paths failed, and what should be picked up again later. That is the part most ai demos miss. A model with no lived context has to be briefed every time. A model connected to the history of the work can help you move with much less translation. Products like Brain² matter because they push the industry away from one-off prompting and toward durable context, feedback loops, and operating memory. That is where agents start becoming useful in real work.
Zeb Evans@DJ_CURFEW

The 100x org went viral. Half the internet hated it. The other half was curious.   One month later: output is up. productivity is spiking. we're approaching a 5:1 agent-to-human ratio.   And contrary to popular belief, we're doing the OPPOSITE of tokenmaxxing. We're tokenSAVING....   Why 5,000 agents for 1,000 people? Because agents AREN'T workflows... Agents define permissions and skills. the vast majority of ours don't bother a single human, they run as triggers and loops in the background.   My rule is simple: if you're doing work that ISN'T purely using your judgment → build an agent or a system to remove that bottleneck.   So that's what we did. And yes, it broke things. Honestly it created real pain for first couple weeks. To be expected.   we have TONS of examples now people who had NEVER built a system in their life and are now running large-scale agentic systems that power much of our company.   I always say - if you automate your own job with AI, you'll ALWAYS have a job. Systems is arguably the most important thing of all.   Today, regardless of what your role used to be, everyone does the IC work end-to-end: → Before, you riffed on messaging. Now you ship the landing page yourself. → Before, you were a PM waiting on design and research. Now you're a builder iterating in real-time. → Before, you waited on someone to finish something. Now you don't.   The 100x future isn't coming. It's HERE. Bottlenecks are mostly gone and those that aren't are in sight.   And obviously gotta lead by example. I even designed and built the Brain² landing page. I built most of the product. The in-app announcements. The emails. All of it. Breaking our existing processes let us rethink everything WITHOUT prior constraints.   Enter, Process Miner: my agent that mines all the processes in our company. This is just one of the infinite use cases for setting up an LLM to process EVERY SINGLE event that happens in your company.   These types of agents simply are not sustainable without compressed context. Instead of starting from scratch each time and deep researching across the ~100,000 daily activity items in our company, it starts from context that has already been processed, summarized, and organized.   Everyone's jumping on the context and memory train now. I love it. We've been building this for two years. and we STARTED OVER 4 times! We came out the other side with what we call live intelligence: → LLM pipeline: every event runs through a cheap LLM that summarizes, organizes, triggers, and rolls up → Self-organizing memory. Don't overcomplicate it. Start simple. → Self-improving orchestration. THIS IS THE KEY. BUT... don't over-focus on orchestrating models... it's WAY more about orchestrating CONTEXT.   It wasn't more tokens. It wasn't a better model. It was CONTEXT.   Every LLM is average by default. Think about that. If you're using the same model as everyone else, your intelligence is by definition, AVERAGE.   That's what really changed everything for us internally and it's why we even have a product to release in the first place.   Our company AI is personalized (and yes these learnings are applicable regardless what system you use). Every time you use Brain², we dynamically rewrite the system prompt based on real-time context and intent. Your activity, your decisions, your projects, your memory, your preferences. And your FEEDBACK.. that's WAY more important than decisions that everyone goes overboard on being so valuable. All injected AHEAD of time.   When AI has 100% context, you don't need prompts in the same way. You need INTENT.   I go anywhere in ClickUp and type "@brain slides." Done. "@brain campaign." Shipped. "@brain app." Live.   And it REMEMBERS. Every interaction compounds. One Brain for your whole company, and every person makes it smarter for everyone else.   I flew our AI team to my house for a week to finish this. Monitors and whiteboards everywhere. SO proud of this 100x team.   Brain² is truly the best work AI in the world... and I firmly believe it's also the best personal AI. Naturally, easy for me to say and honestly I assumed it was just my bias originally. but then EVERYONE who tried it started saying the same thing.   So we tested it. A three-week study, randomly recruited participants, blind pairwise comparisons. They picked Brain² as the best nearly 100% of the time over ChatGPT, Gemini, and Claude.   Here's the kicker: you can run ANY of those models inside Brain². Same frontier models. Radically different results. Brain² doesn't win because the model is better. It wins because of CONTEXT. It learns from every single interaction and new piece of context it sees.   OH and we built our harness around being OBJECTIVE. Soo it can be sassy - you will definitely see some 'fun' answers in your day to day. AI that is built to agree with you is NOT productive. That makes no one better.   Run it against whatever you're using right now. It compounds in quality the more that you use it. Prove me wrong → clickup.com/brain Brain² is your company's AI. I built this for us originally to realize 100x, and now we're shipping it externally. Even if you're building your own I just hope sharing in public helps in some small way.   💜 Let's make the world more productive

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Pasha
Pasha@PashaBuilds·
@azemsahinn girişim yine güzel hocam, ama fable killer diye çıkan modellerin sonu böyle oluyor 😅 belki bu yaklaşım gelecekte daha çok benimsenir, ama şimdi mantıklı değil.
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Azem Şahin
Azem Şahin@azemsahinn·
@PashaBuilds sevinmiştim japonlarda oyuna dahil oldu bir şeyler yapacak diye yakışmadı bu
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Pasha
Pasha@PashaBuilds·
@Teknium this is the clear win. someone comes back after the hype wave and the agent helps them finish actual work instead of babysitting the setup. that’s when the timing starts to make sense.
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Pasha
Pasha@PashaBuilds·
@therealscale model seçme derdi bitince dikkat direkt işe kayıyor. planı kim yapacak, araştırmayı kim doğrulayacak, ucuz worker nerede devreye girecek kısmını sistem kendi çözerse menü gerçekten arkada kalıyor.
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scale
scale@therealscale·
HANGİ MODELİ KULLANSAM DİYE DÜŞÜNMEYİ BIRAKTIM GPT mi Claude mu Gemini mi... hepsi içinde Brain² işe göre en iyisini kendi seçiyor ben menüye bakarken o yemeği getirmiş bile
Zeb Evans@DJ_CURFEW

The 100x org went viral. Half the internet hated it. The other half was curious.   One month later: output is up. productivity is spiking. we're approaching a 5:1 agent-to-human ratio.   And contrary to popular belief, we're doing the OPPOSITE of tokenmaxxing. We're tokenSAVING....   Why 5,000 agents for 1,000 people? Because agents AREN'T workflows... Agents define permissions and skills. the vast majority of ours don't bother a single human, they run as triggers and loops in the background.   My rule is simple: if you're doing work that ISN'T purely using your judgment → build an agent or a system to remove that bottleneck.   So that's what we did. And yes, it broke things. Honestly it created real pain for first couple weeks. To be expected.   we have TONS of examples now people who had NEVER built a system in their life and are now running large-scale agentic systems that power much of our company.   I always say - if you automate your own job with AI, you'll ALWAYS have a job. Systems is arguably the most important thing of all.   Today, regardless of what your role used to be, everyone does the IC work end-to-end: → Before, you riffed on messaging. Now you ship the landing page yourself. → Before, you were a PM waiting on design and research. Now you're a builder iterating in real-time. → Before, you waited on someone to finish something. Now you don't.   The 100x future isn't coming. It's HERE. Bottlenecks are mostly gone and those that aren't are in sight.   And obviously gotta lead by example. I even designed and built the Brain² landing page. I built most of the product. The in-app announcements. The emails. All of it. Breaking our existing processes let us rethink everything WITHOUT prior constraints.   Enter, Process Miner: my agent that mines all the processes in our company. This is just one of the infinite use cases for setting up an LLM to process EVERY SINGLE event that happens in your company.   These types of agents simply are not sustainable without compressed context. Instead of starting from scratch each time and deep researching across the ~100,000 daily activity items in our company, it starts from context that has already been processed, summarized, and organized.   Everyone's jumping on the context and memory train now. I love it. We've been building this for two years. and we STARTED OVER 4 times! We came out the other side with what we call live intelligence: → LLM pipeline: every event runs through a cheap LLM that summarizes, organizes, triggers, and rolls up → Self-organizing memory. Don't overcomplicate it. Start simple. → Self-improving orchestration. THIS IS THE KEY. BUT... don't over-focus on orchestrating models... it's WAY more about orchestrating CONTEXT.   It wasn't more tokens. It wasn't a better model. It was CONTEXT.   Every LLM is average by default. Think about that. If you're using the same model as everyone else, your intelligence is by definition, AVERAGE.   That's what really changed everything for us internally and it's why we even have a product to release in the first place.   Our company AI is personalized (and yes these learnings are applicable regardless what system you use). Every time you use Brain², we dynamically rewrite the system prompt based on real-time context and intent. Your activity, your decisions, your projects, your memory, your preferences. And your FEEDBACK.. that's WAY more important than decisions that everyone goes overboard on being so valuable. All injected AHEAD of time.   When AI has 100% context, you don't need prompts in the same way. You need INTENT.   I go anywhere in ClickUp and type "@brain slides." Done. "@brain campaign." Shipped. "@brain app." Live.   And it REMEMBERS. Every interaction compounds. One Brain for your whole company, and every person makes it smarter for everyone else.   I flew our AI team to my house for a week to finish this. Monitors and whiteboards everywhere. SO proud of this 100x team.   Brain² is truly the best work AI in the world... and I firmly believe it's also the best personal AI. Naturally, easy for me to say and honestly I assumed it was just my bias originally. but then EVERYONE who tried it started saying the same thing.   So we tested it. A three-week study, randomly recruited participants, blind pairwise comparisons. They picked Brain² as the best nearly 100% of the time over ChatGPT, Gemini, and Claude.   Here's the kicker: you can run ANY of those models inside Brain². Same frontier models. Radically different results. Brain² doesn't win because the model is better. It wins because of CONTEXT. It learns from every single interaction and new piece of context it sees.   OH and we built our harness around being OBJECTIVE. Soo it can be sassy - you will definitely see some 'fun' answers in your day to day. AI that is built to agree with you is NOT productive. That makes no one better.   Run it against whatever you're using right now. It compounds in quality the more that you use it. Prove me wrong → clickup.com/brain Brain² is your company's AI. I built this for us originally to realize 100x, and now we're shipping it externally. Even if you're building your own I just hope sharing in public helps in some small way.   💜 Let's make the world more productive

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Pasha@PashaBuilds·
@AlexFinn this is the cleanest hermes pitch tbh. copy link, give it a goal, and you get the update applied inside your own setup instead of reading another changelog.
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Alex Finn
Alex Finn@AlexFinn·
Hit 'copy link' on this post, paste it into your Hermes Agent, say "update to the latest version of Hermes then implement any of these features you think will be helpful" Boom setup complete.
Alex Finn tweet media
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Alex Finn
Alex Finn@AlexFinn·
MASSIVE Hermes Agent update over the last few days Totally changes the way I use Hermes Here's 8 new features you need to start using immediately: 1. Native iMessage support: This is by far the easiest way to message Hermes on the go. Totally free to set up. I now use iMessage for quick prompts on the go, Hermes Desktop at home 2. Background agents: Background agents are now on by default. Now you can give Hermes complex prompts and by default Hermes will spin up subagents and put them in the background. Instead of waiting a long time to follow up with your agent while it works, you can immediately message it while background agents work quietly 3. Updated Desktop App: Bunch of new quality of life features in the desktop app including: • pop out chats in their own window • model selector now at bottom • live subagents pane • built in terminal 4. Profile builder in the browser: profiles in Hermes are basically new Hermes agents that work side by side. You should have at least 2 profiles set up so if one goes down, the other can fix it. Never been easier to set up new profiles, type hermes dashboard in your terminal and go to profiles 5. Skills Hub: There's now a skills hub in Hermes dashboard as well. Makes it really easy to browse and install new and popular skills 6. Smarter memory edits: your agent will now self improve way more and with better improvements too. Your agent will constantly write and update new skills as you work 7. Unreal Engine 5.8 MCP: For the first time you can now use AI to build video games in the most popular and powerful engine on Earth: Unreal Engine. Install the MCP in Hermes and you can have your agent build super complex and in depth 3D games. 8. Better Telegram formatting: Hermes now takes advantage of complex formatting in telegram like tables and charts. I like to use Telegram when I'm doing deep work on the go and iMessage when I have quick prompts on the go Excellent updates that have significantly improved the experience. Video showing how to use and set this all up shortly.
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Pasha
Pasha@PashaBuilds·
@azemsahinn kesinlikle hocam, aşırı iyi hissettirdi, adamlar dersine iyi çalışmış
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Pasha
Pasha@PashaBuilds·
@therealscale dijital beyin işte, tek fark bitlerden ibaret olması
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scale
scale@therealscale·
@PashaBuilds AI becomes ALIVE in your work...
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Pasha
Pasha@PashaBuilds·
@robink78 müthiş oldu valla, tam aradığım şey
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Pasha
Pasha@PashaBuilds·
@0xJulianz olayı bir şekilde kalıcı hafızaya bağlamak lazım bu devirde hocam, yoksa hatadan kaçış yok gerçekten
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Julianz
Julianz@0xJulianz·
@PashaBuilds çok doğru, her sabah sıfırdan tanışmak yoruyor. geçmişi hatırlamayan sistem sadece aynı hataları daha hızlı tekrarlatır
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Pasha
Pasha@PashaBuilds·
@sarcaxtiSX unutmayan beyin yapmışlar
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Pasha
Pasha@PashaBuilds·
@iamlukethedev hermes found a strange little ux layer here. the pet is a tiny dashboard your brain does not hate. stuck, failed, done, running tools, you get the signal without opening logs.
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Luke The Dev
Luke The Dev@iamlukethedev·
This is one of those features people laugh at until they use it. Your agent having a pet sounds silly… until the pet shows you whether the agent is idle, thinking, running tools, failing, or done. That’s not just cute. That’s status visibility. Hermes keeps making agents feel less like terminals and more like coworkers.
Nous Research@NousResearch

Your Hermes Agent can now adopt an animated pet: a small sprite that reacts to what the agent is doing (idle, running a tool, thinking, waiting, finishing, failing) in the GUI or TUI. You have nearly 3000 pets to choose from via the petdex gallery, or you can submit your own.

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Pasha
Pasha@PashaBuilds·
@AlexFinn imessage is the sneaky big one here. putting hermes where the daily messages already happen removes a lot of the “open a dashboard and check” friction.
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Pasha
Pasha@PashaBuilds·
@Teknium the inspectable skill file is huge here. if /learn can turn docs, configs and past sessions into something hermes can test, edit and reuse tomorrow, that is where the compounding starts.
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Teknium 🪽
Teknium 🪽@Teknium·
Hermes can now LEARN from any source or set of sources, build a skill, test it live, and crystallize new learnings. Just run /learn and pass it sources, past sessions, URLs, docs, whatever you think will help it learn, and it'll go from 0 to 1 to create you a skill!
Nous Research@NousResearch

Hermes Agent can now /learn from anything: feed it directories of any source material (code, API docs, manuals, PDFs, configs) and it distills a verifiable reusable skill

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Pasha
Pasha@PashaBuilds·
@emrullahai bu metafor çok iyi oturuyor hocam. model aynı model ama dün alınan kararları, ekip refleksini ve yapılan hataları hatırlamıyorsa ajan sayısını artırınca sadece daha hızlı unutkanlık üretiyorsun.
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Emrullah
Emrullah@emrullahai·
Hayal et: ekibe dünyanın en zeki insanını aldın. Ama her sabah dün ne yaptığını hatırlamıyor. Dehası kusursuz, hafızası sıfır. Çoğu şirketin yapay zekayla ilişkisi tam olarak bu. GPT de, Claude da, Gemini de zaten dahi. Aynı dahiler, herkese açık. Peki neden aynı modeli kullanan iki şirketten biri uçuyor, öteki yerinde sayıyor? Çünkü mesele dehanın IQ'su değil, seni hatırlayıp hatırlamadığı. Asıl kaldıraç daha fazla token değil; doğru bilgiyi, doğru anda, sormadan önünde bulması. Brain²'nin meselesi de bu: aynı frontier model, ama dahinin nihayet bir hafızası var. Model yarışı laboratuvarda bitti. Bağlam yarışı yeni başlıyor.
Zeb Evans@DJ_CURFEW

The 100x org went viral. Half the internet hated it. The other half was curious.   One month later: output is up. productivity is spiking. we're approaching a 5:1 agent-to-human ratio.   And contrary to popular belief, we're doing the OPPOSITE of tokenmaxxing. We're tokenSAVING....   Why 5,000 agents for 1,000 people? Because agents AREN'T workflows... Agents define permissions and skills. the vast majority of ours don't bother a single human, they run as triggers and loops in the background.   My rule is simple: if you're doing work that ISN'T purely using your judgment → build an agent or a system to remove that bottleneck.   So that's what we did. And yes, it broke things. Honestly it created real pain for first couple weeks. To be expected.   we have TONS of examples now people who had NEVER built a system in their life and are now running large-scale agentic systems that power much of our company.   I always say - if you automate your own job with AI, you'll ALWAYS have a job. Systems is arguably the most important thing of all.   Today, regardless of what your role used to be, everyone does the IC work end-to-end: → Before, you riffed on messaging. Now you ship the landing page yourself. → Before, you were a PM waiting on design and research. Now you're a builder iterating in real-time. → Before, you waited on someone to finish something. Now you don't.   The 100x future isn't coming. It's HERE. Bottlenecks are mostly gone and those that aren't are in sight.   And obviously gotta lead by example. I even designed and built the Brain² landing page. I built most of the product. The in-app announcements. The emails. All of it. Breaking our existing processes let us rethink everything WITHOUT prior constraints.   Enter, Process Miner: my agent that mines all the processes in our company. This is just one of the infinite use cases for setting up an LLM to process EVERY SINGLE event that happens in your company.   These types of agents simply are not sustainable without compressed context. Instead of starting from scratch each time and deep researching across the ~100,000 daily activity items in our company, it starts from context that has already been processed, summarized, and organized.   Everyone's jumping on the context and memory train now. I love it. We've been building this for two years. and we STARTED OVER 4 times! We came out the other side with what we call live intelligence: → LLM pipeline: every event runs through a cheap LLM that summarizes, organizes, triggers, and rolls up → Self-organizing memory. Don't overcomplicate it. Start simple. → Self-improving orchestration. THIS IS THE KEY. BUT... don't over-focus on orchestrating models... it's WAY more about orchestrating CONTEXT.   It wasn't more tokens. It wasn't a better model. It was CONTEXT.   Every LLM is average by default. Think about that. If you're using the same model as everyone else, your intelligence is by definition, AVERAGE.   That's what really changed everything for us internally and it's why we even have a product to release in the first place.   Our company AI is personalized (and yes these learnings are applicable regardless what system you use). Every time you use Brain², we dynamically rewrite the system prompt based on real-time context and intent. Your activity, your decisions, your projects, your memory, your preferences. And your FEEDBACK.. that's WAY more important than decisions that everyone goes overboard on being so valuable. All injected AHEAD of time.   When AI has 100% context, you don't need prompts in the same way. You need INTENT.   I go anywhere in ClickUp and type "@brain slides." Done. "@brain campaign." Shipped. "@brain app." Live.   And it REMEMBERS. Every interaction compounds. One Brain for your whole company, and every person makes it smarter for everyone else.   I flew our AI team to my house for a week to finish this. Monitors and whiteboards everywhere. SO proud of this 100x team.   Brain² is truly the best work AI in the world... and I firmly believe it's also the best personal AI. Naturally, easy for me to say and honestly I assumed it was just my bias originally. but then EVERYONE who tried it started saying the same thing.   So we tested it. A three-week study, randomly recruited participants, blind pairwise comparisons. They picked Brain² as the best nearly 100% of the time over ChatGPT, Gemini, and Claude.   Here's the kicker: you can run ANY of those models inside Brain². Same frontier models. Radically different results. Brain² doesn't win because the model is better. It wins because of CONTEXT. It learns from every single interaction and new piece of context it sees.   OH and we built our harness around being OBJECTIVE. Soo it can be sassy - you will definitely see some 'fun' answers in your day to day. AI that is built to agree with you is NOT productive. That makes no one better.   Run it against whatever you're using right now. It compounds in quality the more that you use it. Prove me wrong → clickup.com/brain Brain² is your company's AI. I built this for us originally to realize 100x, and now we're shipping it externally. Even if you're building your own I just hope sharing in public helps in some small way.   💜 Let's make the world more productive

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