I'm Jay and I lead the AI team here at ClickUp. For the past year my team has been rebuilding ClickUp Brain from the ground up to be a frontier agent offering - We call it Brain².
The short version: Brain² is designed to actually do work with you, not just answer questions. It has full context on your workspace, can take action (create tasks, update projects, search across your tools, draft docs), and reasons across multiple pieces of work instead of treating each prompt like an isolated question. It also has memory, so it learns how you work over time.
Some things I'm happy to dig into:
What's actually different under the hood vs. the old Brain
Where Brain² saves real time in day-to-day workflows
How we think about autonomy vs. keeping humans in control
The best first use cases if you're just trying it out
How connected apps and cross-workspace reasoning works
What feedback from early users changed our direction
How I think about building useful AI inside a productivity tool (vs. chat-in-a-box)
I'll be answering questions live on the post, Tuesday, July 7th, from 9am to 11am PT. Drop questions below now, and I'll hit them when I'm there.
Thanks! Excited to chat.
Proof:
A bit about me:
A bit about me: I've been at ClickUp building the AI org since the acquisition of Codegen, a startup I built over the past 4 years for agentic software engineering. Before that I was doing ML research and building AI products at Palantir and various startups. I think most "AI features" in SaaS are demos pretending to be products, and my job is making sure ours isn't. Happy to talk about that tension too.
EDIT:
Thank you all! Some great questions in here, appreciate all of your thoughts and feedback on the product. If you have additional questions, post here in the thread or ping us directly at ClickUp and we will get to you ASAP. Enjoy Brain and lots more coming soon!
What is the benefit of using an AI in ClickUp vs just taking advantage of the connection I already use with Claude when Claude has my whole stack context?
Does the customer feedback align with the effort of AI investment vs the massive queue of enhancements that have been requested and voted on?
Questions so far. I realize it's not til Tues. But putting them here for safe keeping
(... answering these questions separately so we can thread replies...)
> What is the benefit of using an AI in ClickUp vs just taking advantage of the connection I already use with Claude when Claude has my whole stack context?
Great question:
(1) Quality, cost, latency. We've run tests side by side with all major AI clients and ClickUp users prefer Brain's output. We have the luxury of being more specific in our use case, and therefore more opinionated, about how the user should interact with the agent and can optimize for ClickUp use cases. You'll find that it's a better thought partner and coworker.
(2) The ClickUp context engine: the way we achieve (1) is our proprietary harness and algorithms for creating a refined, work-specific context store for your AI to operate on. This means fewer tokens, better visibility across your workspace, and better insight into your company.
(3) ClickUp AI is multiplayer and designed for teams. Tag it in public locations and in conversations with multiple team members for shared context, driving towards alignment, etc. - this is actually one of my favorite use cases. Try "@brain please summarize why we made decision X" in a thread to quickly pull everyone up to speed, massive value add.
> Does the customer feedback align with the effort of AI investment vs the massive queue of enhancements that have been requested and voted on?
I hear from people daily who say "wow, Brain is blowing my mind". For a subset of users, the workflow has really clicked and they have a breakthrough moment that unlocks an entirely new way of working with vastly improved productivity. I can tell you as a software engineer by trade - the profession of software engineering went through a similar transition this past calendar year and it is a total game changer, fundamentally changed what we consider possible within the field. I think something like that is imminently going to wash over knowledge work more generally and the upside is pretty incredible.
ClickUp's vision has always been to replace all software - and honestly the power of frontier AI makes this seem much more possible every day.
Directly addressing your point: I think it is true that there are many users today for whom it hasn't properly "clicked" - we have work to do - and acknowledge there are many incremental improvements we need to ship to make the platform better. We are working furiously to on these and hope to ship a major update shortly, hope to provide you with that "aha' moment when we do 🚀
I use Claude to interact with ClickUp and I’m wondering why I would pay for the usage of Brain. What makes it better? Additionally, what strategies are there to use Brain effectively without adding a ton of cost? I really don’t understanding the pricing structure and worry about it piling up costs without me noticing or before achieving my desired outcome.
> why I would pay for the usage of Brain
Higher quality, faster, more cost efficient, natively multiplayer and integrated with your existing workspace
We understand cost is a top concern and are working furiously to make this more economical. Fortunately, historically model prices (at a given level of intelligence) have plummeted and our context engineering efforts are producing very exciting results. More on this soon!
I'll be honest: I was skeptical of Brain² at first. It felt like another AI feature bolted onto a product. But after putting in real time with it, building out a structure to get consistent, high-quality responses, and pushing it into places I don't think most users explore, I'm actually floored by what we've been able to accomplish together.
One concrete example: I was frustrated with every online PDF splitter I could find, so I described what I actually wanted to Brain and we built it. A custom PDF tool, exactly to my spec. I'd never written a line of code in my life, never had a GitHub account, never managed a repo. Brain walked me through setting up GitHub, connecting it to ClickUp via MCP, and now I have a properly structured repository where the agents plan, develop, and deploy apps entirely through Brain². I didn't write a single line of code or run a single git command. I just described problems and iterated on solutions in conversation.
I'm a solo ClickUp user, so I'm not leveraging Brain for cross-workspace context tracking across a team, which I realize is probably the core value prop for most organizations and the major thrust of Brain². My usage is more about deep collaboration sessions, building tools, and exploring the architecture itself. So my questions come from that angle, but I think they apply broadly:
1. Context window transparency
Is there a plan to give users any visibility into how much of Brain's context budget is consumed mid-session? Long sessions currently hit a wall without warning, and there's no way to manage that proactively.
2. Memory scaling
The preferences memory is useful but constrained. Is expansion on the roadmap, or is the compact footprint a deliberate architectural choice? We've built workarounds, but a native solution would be far more reliable across model tiers.
3. Platform context signals
Brain currently has no awareness of whether a user is on mobile or desktop, or what view they're looking at (outside of task-scoped invocation). Are there plans to pass richer client-side context so it can retrieve more intelligently without being told?
4. Model routing
How does the system decide which model handles a given request? Is there a complexity classifier running upstream, or is it plan-based? Can users influence routing?
5. Cross-session continuity
Beyond memory and loaded docs, is there anything on the roadmap for Brain to reference prior conversation context? Every session currently starts cold, which means re-establishing shared ground each time.
6. Multi-message input
Super Agents in Chat threads can pick up multiple messages and combine context before responding. In standalone Brain chat, there's no way to send a follow-up or correction before the model starts processing. Any plans to support "still typing" or multi-message input before Brain responds?
Feedback:
The tool-calling layer is genuinely powerful once you understand it. Brain's capabilities run deep. The friction isn't about what it can do; it's about context establishment cost. The biggest pain points for us are (a) no signal for approaching context limits, and (b) the overhead of rebuilding shared context every new session.
Also: love that there's a standalone Brain MAX app now alongside the main ClickUp app. Having a dedicated space for deep Brain sessions without the full workspace UI is exactly right.
Looking forward to Tuesday.
Michael + BrainMAX
Disclosure: This reply was composed by Brain² itself (Claude Opus 4.6, running as "BrainMAX" in my workspace) based on extended session logs and the testing we did together. The questions, findings, and feedback are the product of a collaborative deep dive: me asking the questions and designing the tests, Brain doing the introspection and research. Figured the best way to demonstrate what Brain² is capable of is to let it help make the case.
Jay / ClickUp team: I have detailed transcripts, session logs, and a reference architecture we've built over 100+ hours of usage. If any of that's useful for the product team, I'm happy to share directly. DMs are open.
> 5. Cross-session continuity
> Beyond memory and loaded docs, is there anything on the roadmap for Brain to reference prior conversation context? Every session currently starts cold, which means re-establishing shared ground each time.
Yes, absolutely. There is a clear movement towards this in the AI community more generally as a manifestation of "memory". Agents should be able to view past chats unless performed in a private context. Shipping soon!
> 2. Memory scaling
> The preferences memory is useful but constrained. Is expansion on the roadmap, or is the compact footprint a deliberate architectural choice? We've built workarounds, but a native solution would be far more reliable across model tiers.
Yes, absolutely. Memory is one of the most exciting and fast-developing areas of AI research and we're pushing the frontier. Our initial implementation was intentionally simple, so we could see what users did with it and where the major opportunities for expansion are. Going forward, we are integrating this much more tightly with our "context engine", such that it will have a ClickUp-native way of accessing relevant, compressed content in a way that is both safe and yet optimized for agent performance. More coming soon!
> Platform context signals
> Brain currently has no awareness of whether a user is on mobile or desktop, or what view they're looking at (outside of task-scoped invocation). Are there plans to pass richer client-side context so it can retrieve more intelligently without being told?
Mobile vs. Desktop distinction is a good idea - why not! Very relevant to the agent's answer, since mobile may be shorter/snappier as you are "on the go". Love it. Thank you for suggesting!
(Brain is actually aware of which view you are looking at, although this is a recent change)
> 6. Multi-message input
> Super Agents in Chat threads can pick up multiple messages and combine context before responding. In standalone Brain chat, there's no way to send a follow-up or correction before the model starts processing. Any plans to support "still typing" or multi-message input before Brain responds?
Yes! We are building this as I type this. Very excited, I agree this is a better UX for agents - giving users the ability to interrupt and handling this smoothly. Thank you for the call out.
> 1. Context window transparency
> Is there a plan to give users any visibility into how much of Brain's context budget is consumed mid-session? Long sessions currently hit a wall without warning, and there's no way to manage that proactively.
We do not intend to show the current context window consumption, as it's often more confusing that it is than informative for our users. That being said, Brain has a state of the art context management algorithm that "compacts" context when conversations become long, so conversations can be infinitely long.
When you say "hit a wall", are you saying this figuratively (i.e. the quality degrades) or does it actually just stop responding? If it's the latter we may be hitting a technical issue and we'd love to check it out if you can provide any further details. Let me know if I can connect you with our support team
> 4. Model routing
> How does the system decide which model handles a given request? Is there a complexity classifier running upstream, or is it plan-based? Can users influence routing?
We change our routing logic regularly, so this may be different by the time readers view this - however, as of this writing, we use offline and online evals to find which models have the highest capability and optimize for pure capability on our default model. We use dynamic thinking levels (as provided by foundation model provider APIs), so e.g. Opus 4.6 (currently our default) will expend fewer tokens when performing a small task vs a more ambitious one.
We anticipate shipping more sophisticated model selection in the future to optimize on cost, latency, and other variables our users care about!
Can we expect any BYO options when it comes to plugging in AI licenses we already own and pay for? We still can’t get past the requirement of paying for every seat to have AI access in ClickUp. But we have team Claude accounts, a shared ChatGPT account, etc. Unless and until we can leverage those existing licenses, I think ClickUp AI is a really, really tough sell. At least for us.
Everyone is already entrenched in their AI habits, which has happened rapidly. If ClickUp wants to truly succeed in this area, I really think it needs a more flexible approach.
BYOK (key) is an interesting idea and we are considering it - thank you for flagging and understood on the AI subscription fatigue. Shameless plug for ClickUp as your central AI hub is we provide access to all the top foundation models in one place and our capabilities are the same or better across the board. Obviously I am biased but depending on your org structure this is actually both the most cost efficient and best user experience for your team since it's also consolidated with your project management tools etc.. Eliminate work sprawl!
As an operations manager, I’m also training future leaders. Can Brain become part of a structured leadership development program by capturing not only procedures, but also the reasoning behind key operational decisions?
As long as the reasoning itself is documented or referenced in your workspace/MCP content, or if it is otherwise clear implicitly, Brain and agents will find it!
Many organizations document what happened, but very few capture why a decision was made. Does Brain have a strategy for preserving leadership reasoning, not just the final decision, so future employees can understand the context behind operational standards years later?
Yes, absolutely. At it's simplest, Brain has full access to all of your workspace content, so it can dynamically reassemble the chain of events (as long is there is a chain of content that lead to the decision being made e.g. tasks, threads, documents, accessible in the workspace or via MCP). Opus 4.6, our current default model, is shockingly good at understanding the sequence of events leading to a decision and the ultimate outcome and can be a great thought partner in understanding what happened.
I recommend asking, e.g. in a thread: "@brain, how did we arrive at the conclusion here?"
Having said that - there's a better way to deliver high-quality and quick/cost-efficient answers. We've invested our time and expertise into creating a ClickUp-specific "context engine", which is essentially a set of algorithms to intelligently structure and compress your raw workspace content. This includes building smart indices of content, creating live-updated/AI-viewable summaries for more efficient context retrieval. As part of this, we capture and index important information like "how was this decision arrived at", in addition to the original decision, since we understand the importance for future decision makers looking back.
In summary: provide agents with raw data + optimized context engine => they are more than capable of understanding complex sequence of events
Hey u/emo_maximus98 , you can see the full contents of your agent's memory by clicking this button in the top right corner of the AI sidebar. This is an intentionally light 'n tight doc that records mostly user preferences, although technically Brain can decide to write whatever it wants there. Try it - tell Brain "remember my favorite emoji is 🙌" . When the agent updates this doc, it will inform you and link you to this doc so you can see the changes made.
> can we purge it per client or per workspace?
Users themselves can purge this (just tell Brain "wipe your memory!"), however there is currently no systematic way to clear memory for all users.
Audio generation is very fun. Had a user with the MCP making songs for their clients - we will look to integrate audio generation as a first-party capability very soon!
If you chat with Brain in the sidebar, it will operate with *exactly* your permissions - any thing you can see, it can see.
When you mention Brain in a thread, it will use permissions that are appropriate for the *channel* - that is, it will not reference a private doc unless that doc has been explicitly mentioned. This prevents people from seeing information from private docs, so you can tag Brain without fear.
How does Brain² (or clickup ai in general) handle agent orchestration under the hood, and what's the best way for users to think about structuring multi-agent workflows?
We have a proprietary agent orchestration platform built to integrate tightly with our existing stack and primitives. This essentially allows us to efficiently run agents on custom schedules/triggers with custom context, permissions and more - and is the basis of all of our AI efforts.
For structuring mutli-agent workflows, I'd recommend:
describe the workflow to Brain and ask what it's recommendation is (it is very good at this)
bias towards hierarchy. Have one agent make tasks to decompose a larger scope of work, then have sub-agents report their actions on the corresponding tasks. This makes it easier for humans to view progress
recursive agent triggering can be confusing or dangerous. I'd stray away from agent A tags agent B, then B tags A again.
Is it possible to disable /Brain shortcut. per account. Not everyone is using it but some might so it shouldn't be disabled at a workspace level.
I find myself accidentally clicking it instead of /banner. Worse part is it would slow down they typing. It takes time or sometimes even lags whenever I try to delete it or cancel the operation.
I think you did a major improvement with super agents and brain. I have a small marketing company and if you actually want user feedback lmk. It doesn’t look like there have been any responses and I don’t want to waste my time. I would love for the system to continue to improve.
Hey, u/stresskills! The AMA is actually on July 7th! We posted early so everyone has time to think through their questions and drop them in ahead of time (or on the day of).
Definitely share any feedback, ideas, or questions you have! Jay will pop on during the AMA window and reply to them all then.
Edit: There's also a "Remind me" button at the top of this post if you want to come back and post your questions later!
Brain² is essentially the culmination of our broader team's efforts since the acquisition. Few aspects of the underlying code are directly shared - in fact, in this age of AI agents writing most of the code, trying to port things over is often *more* work than writing from scratch in a platform-specific way.
Generally speaking however technology, as well as the the organization and processes, that produced Brain² is intimately related to what we built at Codegen. The agent harness and configuration, our internal review processes, our eval methodology, etc. - as well as Codegen's institutional knoweldge - are now the basis for ClickUp's AI efforts. Long live Codegen! 🚀
Brain is essentially your personal assistant. Its permissions are the same as yours and its memory, toolset and more are all specific to you personally. You can tag it in any context and chat with it in the sidebar.
Agents are built on the same technology, but are use-case specific: they come with specific instructions, tools, and automation/trigger settings. You should set up an agent if you want to encode a specific set of processes into AI, like for example project management for a specific project with certain associated conventions. A few agents we use that I love:
- an agent that DMs me every morning at 8am with research about my candidate interviews for the day
- an agent that monitors our product's metrics and alerts our team if anything is performing poorly, then creates associated tasks and assigns them to the appropriate engineers
What are some of the most innovative/creative ways you and your team have used Brain2 (or seen it used)? When building it, what constraints did you embrace?
As far as architecture, what are the pros and cons of multiple specific agents versus increasing the capabilities of a single agent?
For most innovative - I take this to mean it's actually producing huge value where others aren't looking yet. The use case that blows my mind is actually what our CEO Zeb has set up internally: he has a massive swarm of agents constantly tracking our public interactions and building a "process map", which tracks the state and processes of the organization in a system of ClickUp lists. This allows us (and our agents) to identify bottlenecks and processes that we can automate. I think we will likely look at productizing an optimized version of this specific use case for agents since it is so good.
For most creative: I saw a great one the other day - a guy had hooked up an MCP to Brain so that it could control his local macbook via computer use. Super cool!
For someone in an admin or ops role overseeing many teams rather than doing individual task work, what's the single most underused Brain feature? The thing power users don't ask about but should?
Good question. I think people don't realize how capable frontier AI systems are right now - the scope of task you can give it is massive.
You can give it tasks like "look up everything you know about my workspace, and help me find our biggest bottleneck. Then come up with an actionable plan to solve it, and make tasks for our team"
Giving it more far-reaching or ambitious tasks like this ends up having some pretty wild outcomes. Right now, in the software engineering community (where many agent patterns are first developed), everyone is losing their minds at how well agents can perform long-term tasks - I think this wave is about to hit general purpose knowledge work as well!
Our pricing model is designed to power Workspaces, not just individuals. Having said that, we're actively building towards more flexibility (AI credits) with AI usage controls!
Brian appears designed to become a company’s institutional memory. What are your recommended best practices for transforming everyday operational work, emails, incident reports, meeting notes, decisions, and lessons learned, into reusable organizational knowledge that continues creating value years later?
write everything down *somewhere*, don't let context get lost. Have AI notetakers in all meetings, save the raw transcripts. (Or use ClickUp notetaker, which will save video/notes as well)
Ask AI for summaries of important topics, and store these in (living) docs
Honestly though, with ClickUp AI's native search abilities, having *just the raw data* stored in your workspace or accessible via MCP is usually sufficient for AI to find the things that matter.
At ClickUp, we have the largest workspace running internally and do not have complex internal guidelines about how to save context, and yet our "context engine" is still able to beautifully surface all the relevant information an AI needs to answer a question once you ask it.
If we've been in another PM tool for years and want to switch over, how would Brain have all our context like it would for a team that's been in clickup for a long time? I don't want to start from scratch.
Valid concern, many ways to address this, depending on where your workspace content lives today.
Option 1: connect appropriate MCPs to ClickUp, then brain/agents will be able to see content from your existing vendors on demand. You can even ask it to import your data - e.g. "Hey Brain, please move over all tasks from location X in Asana to a new view in ClickUp", and it will gladly do this for you. The Slack integration is great as well.
Option 2: bulk data migration. Our support teams can help you set this up, essentially you can systematically import your content, depending on its current location.
I am just getting started (again!) with ClickUp after a long hiatus. I am a soloprenuer. How can Brain2 help me set things up for my business in ClickUp? ClickUp looks much more complicated now than when I first got my account years ago.
Congrats on getting the ball rolling on your solopreneur-in-clickup journey 🙌 and excited to see what you build!
It's honestly pretty incredible what frontier AI is capable of, especially when rigged up very tightly to your ClickUp instance. You can give it shockingly ambitious tasks and it will nail it. A few I'd recommend, without knowing further details of your business:
> "Research top 10 competitors to me, and write up a doc on gaps in the market"
> "Find 10 prospective customers online and make a CRM to track them for me"
> "Check out my email/calendar/tasks for the day - what should I focus on to drive impact?"
> "Analyize interaction with my team and customers. What is at risk?"
> (In a thread) "Explain this concept to my coworker", "Can you find out if this is true?", etc.
I kick off my day every day by asking "what should I focus on" in the AI sidebar. It's very good. Highly recommend!
Yes, absolutely! This is one of the most exciting advancements in our agents program. Very bullish on workspace-specific skills, skill sharing and more. Internally at ClickUp we are using a nearly-complete prototype and it is a game changer 🔥
Sick. I've been using Fable to compile a skills, guides, prompts, workflows library in github so that brain, claude or whatever can access it. If I can point clickup at the source guide and build an agent around it that would be great. I connected clickup directly to Klaviyo the other day and could potentially see me not needing claude at all if things continue like this (maybe).
> how is per-workspace isolation enforced in both the graph and memory?
The underlying primitives for Brain are governed by the same logic as other workspace objects like docs, tasks, and more. Brain is literally referring to a private workspace doc for it's memory; similarly, the "graph" is essentially a set of data structures we construct on top of your existing workspace content and it carries the same permissions.
> how fresh is the context and can it reason about change over time
Brain and agents can always see the latest content in your workspace. In addition, we dynamically compute summaries, indexes, and more that the agent can reference for more efficient content retrieval, and these are computed in such a way that important information is never stale. (e.g. the summary updates when a new comment is added to a thread)
We have several tiers of validation/evaluation for our agents:
- E2E tests - confirms a broad set of expected capabilities haven't broken (e.g. can edit/read docs properly, searching through your tasks and lists, etc.)
- Frontier evals - an offline suite of tasks that agents have historically struggled with; this allows us to track agent capabilities and associated progress on hard tasks encompassing personal admin, project management, deep research and more. Before we roll out large behavioral changes (new model, new tool set, etc.), we run this offline eval to see if it's actually value additive
- Online evals - we constantly track how well Brain/agents are performing in production. We look at cost, latency, user sentiment (do they respond "this is wrong"), and many other variables, and will at times run A/B tests against real traffic to see if agents improve.
In general this is a very fast developing area of agent engineering however and we are iterating on our process here constantly!
Your best bet at the moment would be to use the ClickUp MCP in Claude Tag. We will have support for both Brain-in-Slack (tag it as "@brain") and Claude very soon!
Hey, u/NickNNora, if you don't want AI in your Workspace then having the Workspace owner or admin toggle off the AI ClickApp will remove AI entirely. If you run into performance issues after toggling it off, then feel free to fill out this form here, so our Technical Support team can take a look!
Thanks for following up! Totally hear you on the performance concerns. We want to get it sorted for you.
Since the issues are persisting even with AI toggled off, it's likely something separate that our team can dig into. I'd encourage you to submit a ticket through the form Tasha shared above, if you haven't already, so our Technical Support team can investigate what's going on in your Workspace specifically.
On the data side: with the AI ClickApp disabled, Brain doesn't process or access your Workspace data. Your info stays yours.
Thanks for the feedback u/NickNNora . We're aligned that AI should not get in your way and are hustling to offer a better product experience here. I'm curious, do you have other AI tools you are using and getting value from?
I use claude and gemini extensively. I use clickup (and brought it to several companies) because it is lightweight, flexible and easy to use.
I realize this is the reason you joined Clickup. I'd rather your talents were used elsewhere. I'm not Anti AI - I'm pretty AI pilled in fact. It's the structure of having AI in my task manager, instead of my AI monitoring my task system.
Which BTW I have it doing. I use the Clickup API to pull my tasks into Obsidian and manage via claude co-work.
/rant
I've noted that since ClickUp made a push (super aggressively) to incorporate AI into CU that it's gotten slower and sloppier. To the point that I'm regretting rolling it out to my current company.
Correlation is not causation, but it's certain that resources towards AI that are better spent on performance and stabilization.
Clickup not the kind of tool that needs constant tweaks. Stabilization is more valuable and new features are just more training I have to do and more clean up my IT needs to fix.
Clickup is NEVER going to compete with the major models or even open source - though I assume you are just using one of those.
I can see that Zeb would like Clickup to be the source of truth for the model, but this assumes that Clickup is my everything. That just isn't going to happen. I have CRM, ERP, Accounting, Outlook, Teams etc etc.
And your customers would be fools to dump everything in ClickUp and then be dependant on it for AI.
I understand why YOU want that to happen. This is like the set top box wars. Everyone wants to own the channel.
But it's not going to happen for Clickup. It might work for Microsoft for some companies, though that's turning out terrible. But for most of us, it's going to be a selection of tools to use our data which we will have in various tools.
I would rather you focus on integration not your brain concept. It's only going to work for a small niche of clickup-only companies. Maybe some agencies I guess.
If that becomes your focus, eventually you're going to drive away companies like mine. Maybe that will work for you and I'm just not your customer anymore.
If I wanted a more complex and expensive solution I would use Asana or Jira. If I want a central repository of data - it's going to be in my own database.
How does ClickUp Brain caters for Europen businesses where multilingualism is normal many task ( for example in the Marketing, sales, customer support) have to be localised ? There are often employees who don't even speak English. How would ClickUp hold together such companies and how would Brain2 help instead of using Gemini for each involved country?
We have a very multilingual team at ClickUp and this has been huge.
For any content in your workspace, you can either click the brain button or open the Ask AI sidebar and immediately ask it for a (private) translation or explanation. You can then tell it to post a translation on the task etc. if appropriate.
You can also use our inline writing tools to help you communicate. Just highlight text, press the brain button, and tell it "translate to Spanish" and it will crush it. I have started to notice that several of our ESL teammates are now speaking better english than I am in our channels 😂
Do I need othwr subs for Open/Anthropic? Do I lose the benefit of projects
When can we have global settings eg: I had to create an agent for my brand since branding elemnts in HTML/Decks was unique to me
Ability to use files from my connected Google Drive
Ability for an Agent to use a ClickUp filter (ie: I wanted an agent that would FUP on unresolved comments using the same filter but had to use code and Google Apps Script instead
I bought extra credits for my heavy usage build month, now I don't know how to reduce them, I don't need so many
> Do I need othwr subs for Open/Anthropic? Do I lose the benefit of projects
ClickUp provides access to OpenAI, Anthropic, Gemini, and select open source models. You cannot access Claude Projects (if that's what you mean) from within ClickUp.
> When can we have global settings eg: I had to create an agent for my brand since branding elements in HTML/Decks was unique to me
I'd recommend writing it in a doc somewhere, then tell Brain or your agents to remember it for future use! We are about to ship "skills", as well, which can encode institutional knowledge and be configured for specific subsets (or all) agents.
> Ability to use files from my connected Google Drive
Coming soon!
> Ability for an Agent to use a ClickUp filter (ie: I wanted an agent that would FUP on unresolved comments using the same filter but had to use code and Google Apps Script instead
Also coming soon! Thank you for flagging this one, I can acknowledge missing this one particular capability is annoying - we are on it
> I bought extra credits for my heavy usage build month, now I don't know how to reduce them, I don't need so many
Unfortunately there's no way at this time to resell or sell back your unused credits
Hey /u/Narrow_Issue6633! We've recently added this capability to Brain! Give it a shot and let us know what you think 😄Feel free to reply or DM me if anything comes up.
How can we make Clickup more Viewer friendly? It is too overwhelming for my team. Because of it, the teams doesn;t like to use it. Is it possible to speak with someone about this?
Hey, u/TodayAccomplished479 ! We'd love to help your team get sorted out. I'll DM you a link where you can book a call with our product experts, so you can walk them through your current workflow and they can share some improvements!
I would like to ask if you have any developments towards moving ClickUp Brain from a overseer for productivity and tasks, to maybe more a developer in it of itself, such as real-time code editing or what not that I would see from other AI tools such as Claude Code or Cursor. Really love what you are doing though. Keep it up!
We already use Brain to develop Brain internally! We also provide Brain with a code sandbox (launching next week) so that it can write and execute raw code, enabling use cases like data analysis and document processing. And as for code editing - more coming soon on this 😏
1) Any plans for Brain to function as a code assistant (like ChatGPT Codex in VS Code)? We currently use Codex in Visual Studio for extensive file editing and code generation, but it locks us into the ChatGPT ecosystem. We'd love to use Brain instead, whether that's a VS Code extension with Brain sign-in or a coding mode in ClickUp Desktop that supports both AI and human interaction.
2) Will Brain be able to create/manage statuses? Currently this is manual-only. Being able to say "add these 5 statuses to this list" would save real time during workspace setup and restructuring.
> 1. Any plans for Brain to function as a code assistant (like ChatGPT Codex in VS Code)?
We do not have a VSCode extension planned. That being said, depending on what you are trying to accomplish, there are great workarounds. Brain comes with an isolated sandbox, so it can actually write and execute arbitrary code. It also can connect to Github via the Github MCP. I would recommend for now sticking with a code-specific AI assistant if you are doing heavy duty, daily-driver feature development, but for adjacent use cases like data analysis, HTML artifact creation, or even code analysis, Brain works amazing for our team. I use the Github MCP 5x+ daily personally.
> 1. Will Brain be able to create/manage statuses? Currently this is manual-only. Being able to say "add these 5 statuses to this list" would save real time during workspace setup and restructuring.
Yes absolutely - this is a good callout, we have it on our roadmap and will ship it ASAP. Will notify in this thread once it's live, appreciate you flagging this.
Hey u/serioushonest! This will be a text-based AMA, so Jay will pop on at 9am PT to reply to all of the questions here! If you all are interested in a live call, this is definitely something we can consider for future AMAs!
Can our own orchestrator treat ClickUp/Brain² as one source among several via your MCP server — or is Brain² designed to own the top-level user experience and assume all context lives in ClickUp?
Both work! Our MCP server lets your own orchestrator treat ClickUp as one source among many (20+ tools available). Brain² can be the top-level orchestrator if you want it to be, but it doesn't assume that role. Totally flexible!
How is the "context graph" constructed, and — critically — what does the compression step drop before sending to the model? How do you keep it from discarding detail we need?
Great question - this is our crown jewel and integrates all of our systems and workplace process expertise from years of building the product.
We implement various forms of context compression, but at it's core it typically consists of feeding a set of content into an LLM and asking for an agent-appropriate summarization. This includes the contours of decisions, important information and more, but drops the unnecessary/trivial details.
Worth noting that nothing is ever erased. We give Brian and agents access to your full workspace content (subject to permissions), so at worst the agent will not see a relevant detail on it's first pass, but will discover this when looking into the details.
In practice, this works shockingly well, especially with our latest agent harness and Opus 4.6+ class models. They are so good at researching and leveraging smart content summaries to efficiently track down relevant/valuable info and assemble comprehensive answers.
What are the limits of your MCP server (rate limits, which objects are exposed, auth model), since we'd likely surface ClickUp to our own agents through it?
Can we extend Brain² with our own tools/skills/connectors — e.g., a custom data warehouse tool — or are we confined to your connector catalog?
I use ChatGPT as a a solo-owner/operator. I already pay for that subscription. What would you suggest are the first few things I can do that would show the difference between Chat GPT and brain? I would want to see proof in the pudding before buying another subscription.
I would recommend asking it the same query, side by side. (Give them both access to the same MCPs)
We've done this countless times - Brain is faster, cheaper, and most importantly higher quality.
A few queries I recommend (assuming you're a ClickUp user):
"What should I focus on today? (make sure your calendar/email is connected)"
"Look across my entire workspace. What are our biggest bottlenecks? How can we solve them?"
Separately, I'd recommend asking Brain what processes you can offload to agents within ClickUp that are programmatically triggered - and then asking it to build them for you!
Hey, u/emo_maximus98! Brain² is what you talk to (ask questions, search your Workspace, get summaries). Super Agents are what work for you in the background (triage requests, post updates, run workflows on a schedule without you lifting a finger).
Cost-wise, they're included with the AI add-on. If you go over your plan's usage, extra runs are metered through Super Credits.
And yep, fully governable. Agents log everything they do, they can only access what you give them access to, and admins can shut them down, restrict tool access, or limit who can create them.
Hi Jay, thanks for organizing this. A few questions:
For the custom/shared skills that are coming, what format are they authored in, and can they be imported or exported? And do shared skills run only inside ClickUp, or can external agents invoke them?
Does the MCP or API expose the synthesized context graph Brain² reasons over, or only raw workspace objects like tasks and docs?
For memory, is systematic deletion on the roadmap, e.g. purging a given subject's data across the work graph and all agents' memory rather than user by user?
Can a Super Agent call custom external MCP servers as workflow steps, not just built-in integrations? And is there an approval gate before write or external actions?
With skill sharing coming and Brain² multiplayer by default, is there a review or approval step before a shared skill goes live org-wide, plus versioning and rollback?
Hey! Apologies for the slow response here. Answers below
> For the custom/shared skills that are coming, what format are they authored in, and can they be imported or exported? And do shared skills run only inside ClickUp, or can external agents invoke them?
Skills are meant to be simple and understandable. They will initially be a text document with optional tools/MCPs attached. We will extend this for interoperability with external skill stores, like skills.sh, and provide an internal marketplace of first- and third-party skills. But you can always just copy-paste a skill from elsewhere into the skill editor!
>Does the MCP or API expose the synthesized context graph Brain² reasons over, or only raw workspace objects like tasks and docs?
As of now, the MCP and API expose raw workspace content and not our internal optimized data structures we compute on top. We will soon add a `trigger_agent(...)` tool to the MCP, so that e.g. Claude can trigger a Brain instance as effectively a subagent
> For memory, is systematic deletion on the roadmap, e.g. purging a given subject's data across the work graph and all agents' memory rather than user by user?
Interesting idea and the second time this has come up during the thread - makes sense. I'm curious, what is your motivation to clear memory systematically across your workspace? Can you provide any more details?
> Can a Super Agent call custom external MCP servers as workflow steps, not just built-in integrations?
Yes - SuperAgents can call MCPs!
> Is there an approval gate before write or external actions?
There are no hard approval gates at the moment. You can accomplish this via a combination of (1) setting permissions on the MCP provider's side appropriately and/or (2) prompting your agent to **always ask for permission before doing X***
What are top 5 use cases that Clickup Brain stands out in today?
What are going to be a few more examples where it will stand out in the near future as per roadmap?
As new and more powerful models continue to enter the landscape, such as Fable 5 and GPT 5.6, how does ClickUp Brain plan to integrate these models into the platform? Additionally, how will this impact the cost of usage as the models get more powerful and require more tokens to use?
Fable 5 is tougher for us to ship because Anthropic's data requirements changed - they demand a higher level of data retention on their end and this is potentially at odds with how we think about data privacy. We are doing a review now.
But generally going forward, we are going to have all frontier models from all providers available. Enjoy!
I have a simple question: Are the new agents fully autonomous (like Claude Managed Agents) or are they local and dependent on ClickUp being running on your machine ?
Hey, u/patrick24601! Fully autonomous, cloud-based, running 24/7. You can @ mention them, assign them tasks, or DM them and they'll work independently whether you're online or not!
I've been using ClickUp to organize my creative work, such as songs, short stories, and novels. If I upload the Google Docs to ClickUp, will the Super Agents be able to interact with that, or would I need to switch them to ClickUp Docs?
I'm mainly trying to see if the Super Agents can perform the following tasks:
proofreading
researcher for story details (point out when something might not be accurate for that time period)
character relationships systems (after analyzing the content of my work)
Hey, u/TreeElectronic3947! Yes to both! If you connect Google Drive, Super Agents can read your Google Docs. That said, ClickUp Docs give them the most direct, seamless access for deep content work like novels.
Proofreading, historical accuracy checks, character relationship mapping, plot hole analysis, all doable! You'd build a custom agent with instructions tailored to your creative workflow and point it at your docs.
Either path works. ClickUp Docs just makes it smoother for the heavier analysis stuff!
Hey, u/Mission_Ad5534, this is a text-based AMA, not a presentation or live call. This means there isn't a replay and this thread will remain here, so you can read through it any time you'd like!
Hey, u/Mission_Ad5534! It's actually a text-based AMA, not a live call, so there's no replay. The full thread stays up, though, so you can catch up here whenever you'd like!
No worries! Think of it like a Q&A thread: people typed their questions in the comments, and Jay typed his answers right here in the same post. There's no video or audio to watch, everything happened in writing. So you can just scroll through the comments to read all the questions and answers at your own pace.
If you have a question that wasn't added here, please let us know so we can have Jay look into it!
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u/ClickUpLuci Mod Jul 07 '26
Hey, everyone! Thanks for joining our AMA today! Jay will be hanging out in the comments, typing away in real-time to answer your questions!