Erica Dias @EricaClickup

@DJ_CURFEW Sad for everyone affected, but I respect the transparency and conviction behind this move. Wishing the team strength through the transition.

Today we reduced headcount by 22%. The business is the strongest it's ever been. So I think it's important to be direct about what I'm seeing and why. First, I made this decision and I own it. I did it because the way to operate at the highest level of productivity is changing, and to win the future, ClickUp needs to change with it. Second, this wasn't about cutting costs. Most savings from this change will flow directly back into the people who stay. We'll be introducing million-dollar salary bands. If you create outsized impact using AI, you'll be paid outside of traditional bands. Most importantly, I have the deepest gratitude for those affected. We're doing this from a position of strength specifically so we can take care of people properly. Everyone affected receives a package aimed at honoring their contributions and easing the transition. I only see two options: wait for this to play out gradually in the market or be honest about what I'm seeing and act proactively. THE 100X ORGANIZATION The primary change is that we're restructuring around what I call 100x org. The goal is 100x output. The roles required to build at the highest level are fundamentally different than they were a year ago. Incremental improvements to existing systems won't get us there. We need new ones. That means creating enough disruption to rebuild rather than iterate on what's already broken. The common narrative is that AI makes everyone more productive. It doesn't. Many of the workflows of today, if left unchanged, create bottlenecks in AI systems. These roles will evolve. But waiting for that to happen naturally means falling behind now. The 100x org is actually heavily dependent on people - infinitely more than today. This is only possible with 10x people that have embraced and adopted new ways of working. THE BUILDERS, AGENT MANAGERS, AND FRONT-LINERS — THE BUILDERS: 10X ENGINEERS I don't think most companies have internalized what's actually happening with AI in engineering. The common narrative is that AI makes all engineers more productive. That may be true in isolation, but at an organization level - that is the farthest thing from reality. Here's what we've validated recently at ClickUp: the great engineers, the ones who can orchestrate, architect, and review, are becoming 100x engineers. They're not writing code. They're directing agents that write code. The skill is judgment. AI makes the best engineers wildly more productive, and everyone else using AI slows these engineers down. Think about it - the bottlenecks are (1) orchestration - telling AI what to do, and (2) reviewing - what AI did. Everything is leapfrogged and no longer needed. So who do you want orchestrating and reviewing code? And how do you want your best engineers to spend their time? If your best engineers are spending time reviewing other people's code, then this is inherently an inefficient bottleneck. These engineers can review their agent's code much faster than reviewing human code. The new world is about enabling your 10x engineers to become 100x. The wrong strategy is to push every engineer to use infinite tokens. Companies doing this are celebrating 500% more pull requests. But customer outcomes don't match the volume of code being generated. I call this the great reckoning of AI coding, and every company will face this soon if not already. More code is just another bottleneck to the best engineers, and ultimately to your company's impact as well. — THE BUILDERS: 10X PRODUCT MANAGERS Product management and design roles are merging. Designers that have customer focus, become more like product managers. And product managers that have intuition for UX become more like designers. The bottleneck of user research is gone. It takes us just one mention of an agent to kickoff research and analyze results. The bottleneck of product <> design iteration is also gone. The product builder iterates on their own, along with agents and skills that ensure alignment with quality and strategy. Also controversial today - I believe that the wrong strategy is to have your PMs shipping code - that just introduces another bottleneck that the best engineers will waste their time on. To be clear, PMs should be coding but they should do this in a playground to iterate, validate, and scope. That code should not go to production. Everything outside of managing systems, orchestrating AI, and reviewing output becomes a bottleneck. That's why the other roles that are critical along with these are the systems managers (to reduce bottlenecks) along with a bottleneck you can't replace - customer meeting time. — THE SYSTEM MANAGERS Ironically, the people that automate their jobs with AI will always have a job. They become owners of the AI systems - agent managers. We have many examples of these people at ClickUp. The underlying systems in which we operate are absolutely critical to get right. I think most companies are delusional to think they can iterate on existing systems and compete in this new world. You must create enough disruption so that old systems are deprecated entirely. If there's any definition for 'AI native' that's what it is. — THE FRONT-LINERS In a world that will become saturated with AI communication, the human touch will matter more than anything to customers. This is a bottleneck that you shouldn't replace - even when agents are high enough quality to do video meetings. One-on-one meeting time with customers is something that shouldn't be automated. The systems around the meetings should be - so that front-liners spend nearly 100% of their time with customers. REWARDING 100X IMPACT In a world where companies are able to do so much more with less, where does that excess money go? In our case, much of the savings in this new operating model will flow directly back to those that enabled it. We must reward people that create productivity accordingly. This aligns incentives on both sides. Plus, in a world where your best people create 100x impact, you can't afford to lose them. You should aim to retain these employees for decades. The context they have and their ability to efficiently orchestrate and review will be nearly impossible to replace. Compensation bands of today should be thrown out the door. We're introducing $1 million cash/year salary bands with a path available to nearly everyone in the company if they produce 100x impact by creating or managing AI systems. THE FUTURE Nearly every company will make changes like these. The ones that do it proactively will define what comes next. The future is not fewer people. It's different work, new roles, and better rewards for those who embrace it. We're already seeing entirely new roles emerge, like Agent Managers, that didn't exist a year ago. ClickUp is positioning to lead this shift, not just internally, but for our customers too. I've never been more certain about where we're headed.

@DJ_CURFEW @businessbarista feels like the real value here is context, not just automation. most tools break because they don’t understand the full picture

"Someone is going to build a worldclass 'Brain' for enterprises & make a stupid amount of money." We did. It's actually called Brain @businessbarista. 100+ connected apps. 100% work context. Acts ambiently throughout your workflows. And it just one-shotted this response to your message (watch video 👇) Let me know if you want a personal demo.

@DJ_CURFEW treating agents like employees is such a mindset shift… but it makes so much sense

ClickUp now employs over 200,000 AI agents. This is after just WEEKS of customers vibe coding full-blown TEAMS of AGENTS, themselves. But there's a problem. We found that most of our customers have NO CLUE where to start. This is their very first time ever managing an agent. What I realized is: simply start with a PROBLEM. Just tell the Super Agent Builder about your problems... about where you're wasting time... about what you wish you could do but you can't because of resource constraints. We've also found that human feedback and iteration is KEY. After agents are done with their jobs, give them feedback... just like you do with PEOPLE! Was it good? Was it bad? What do you want to see differently? They automatically self-improve. Every time, they'll continuously get smarter. Everyone talks about decisions but the real leapfrog is FEEDBACK. This is where agents go from average intelligence to SUPER-human intelligence within weeks of working with them. What feedback have you given your agents?!

@DJ_CURFEW dropped this like it’s normal to run 1300 people with AI

Mark Zuckerberg is building an AI agent to help him be CEO. I've been doing this for MONTHS. Here are the agents I use DAILY as CEO of 1,300+ employees. 👇

@DJ_CURFEW bro escaped the notification matrix and built his own reality

I built an AI agent that delivers me the newspaper. How freaking IRONIC. But it's the one that saves me the MOST TIME. I turned all of my push notifications OFF, except for my Digests Super Agent. I stopped reading emails. 1,035 unread. I stopped reading chat messages. 4,302 unread. My Digest agent compresses everything I need to know across my entire 1,300+ person company into a format my brain actually processes easily. A newspaper. It pulls from my email, channels, tasks, and dashboards, distilling everything important into themed digests every couple of hours. This allows me to stay in founder mode at scale even though I get hundreds of notifications a day. Most of us drown in information. The way to scale is COMPRESSING and DIGESTING only what matters. And making it something you will ACTUALLY read. Anyone else done something like this?!

@DJ_CURFEW AI without feedback is just a demo. AI with feedback becomes a product

What's the real moat in AI? It's not your model. It's not your inference. It's your HUMANS. Human engagement. Human feedback. I break it down in this video🍿

@DJ_CURFEW ppl underestimate how lost non-tech users are

Everyone keeps talking about vibe coding replacing engineers. Killing software companies. I've been hearing it for months. From investors, founders, everyone. Before I got so deep into AI, maybe there was a period of time I wondered if they were right. But this is just RIDICULOUS. We've literally seen this movie ALREADY, haven't we? WEBSITES. We've had website builders for DECADES. Squarespace. Wix. WordPress. Every tool imaginable to "just do it yourself." Nearly no one does. They hire someone to use those platforms for them. Software will follow the exact same pattern. When you make it 10x cheaper to build software, you don't kill software, you create MORE DEMAND. You make the unit economics work for ANY business in the world to configure their own custom software. The local gym. The family restaurant. The contractor down the street. They couldn't afford custom software before. Now they can. A new renaissance of agencies will be created that become service providers for those businesses that previously could never be served efficiently. And an even greater economy of those that implement and manage agents for these businesses will proliferate. Furthermore, most of these solutions will actually be implemented on top of horizontal software platforms. More on this to come. To be clear, lots of stuff will be blown up. Vertical software dies. Humans shift to managing agents. But this is FAR from the end of software. This is just a NEW BEGINNING. Disagree?

@ChrisClickUp The smallest bite in cooperate history

@clickup Playbook

@ChrisClickUp I have grown so much in the start, only by engaging with big accounts with speed.

@ChrisClickUp People are putting content in spammy way through AI and expect other people to trust them, lol

@ChrisClickUp People blindly follow things and never experiment.

@ChrisClickUp I hate when companies hire 3 people for 1 person job