Pasha

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

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

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

Water usage has been a hot topic in the AI data center world, but the numbers may surprise you. According to the Manhattan Institute, data centers use 0.2 percent of daily water usage in the U.S. and that number has dramatically decreased in the past few years due to a new method: liquid cooling. By moving to 45°C liquid cooling, AI factories in favorable climates can use dry coolers instead of conventional cooling-tower-based systems, cutting facility cooling water use from roughly 2.6M gallons per MW per year to near zero. Liquid cooling enables AI factories to be both water and energy efficient, while creating opportunities for heat reuse and dispersal to local communities, allowing these factories to become energy grid assets. Learn more below ⬇️ nvda.ws/4gAVGoJ