Meet Grok Bot: Your Team of AI Agents

0:00All right, hi everybody. It is so good to see everyone. If you are in the Grok Bot workshop, meet Grok Bot, you're in the right place. Uh we'll do a quick round of intros, but I think I'll let people trickle in. Um my name is Amrita. And I'm going to be the host for today. I do really like when people actually put where they're calling in from uh cuz usually it's all over the world. So, if you want to put in the chat where you're calling from, I would love to to see all

0:28the wonderful cities. Oh, wow. Starting with Melbourne. 2:00 a.m. Wow. Thanks for joining Hopefully you can go to bed after this.

0:48Amazing. We'll get started in just a minute or so. Um while we're waiting, Nate and Fuzzel, do you guys want to introduce yourselves? Yeah, sure. I can go first. Uh thank you all for joining us. My name is Nate Umlauf and I'm on the AI deployment team here at Cursor. So, I basically just make sure that that our customers are

1:04are getting the most out of the tool. Yep. Same team as Nate. Uh ADM is what we call it. And my name is Fuzzel and I'm happy to help with the questions in the chat today. Amazing. Um and as I said, I'm Amrita. I'm a field engineer here at Cursor. I've led a couple of these workshops. Um you might have seen the we've upgraded the AV setup, so I feel very

1:24professional today. Um and yeah, I'm excited to get started. Uh I do want to just call out today's session is about Grok Bot. And so, if you haven't uh set up Grok Bot or if you haven't downloaded it yet, it's on uh Mac and iOS. Um actually, it's on Mac and Windows and iOS. Um so, you can actually sign up for it at this website um

1:45x.ai/bot. Oh, actually, let me make sure I'm sending that to everybody. x.ai/bot. Um and that's where you can sign up for a Cursor Ultra account or a Super Grok Heavy account and then you'll get access to GrokBot via either of those. We love feedback, and there's a very easy way to send feedback via GrokBot, so please try it out. And if you already

2:07have it installed, follow along today. And yeah, I'm excited to to hear and see what you guys all think about it. Okay. Um let's get started. Nate and Fussel, I'm going to probably have some natural pauses during the session. Um and if you guys could help Cool. curate common questions or things or themes that come up, that would be

2:27great. You got it. Sounds good. Sweet. All right, I'm going to start up with some slides, and then I'd love to just jump in straight into the demo. Um so we're going to do two demos today. We're going to do one like general purpose how anybody could use GrokBot, and then we'll do one that's a little bit more engineering focused, or even like product and development focused. Um and both ways you'll kind of see the

2:49beauty and the power of of the product. Okay. one thing just to call out is if you do have questions, make sure you put them in there's like the little Q&A section of Zoom, as opposed to just putting them in the the chat where they'll probably just kind of go to die because there's

3:04so many people in there. Thank you, Nate. Okay. So, GrokBot. What is GrokBot? It's basically the way I like to describe it, a team of always-on agents that act at your delegation or your disposal. And what I like about GrokBot is kind of three main things. The first is that each bot has memory. And so, what that means is you basically have a persistent, long-living agent at your disposal that you can ask questions to, that will remember kind of the answers it's given before. It will also remember, you know, any follow-ups that you've talked to it about. And I like this because you can have basically

3:42a long-running conversation with an agent over weeks, months, and it'll still be able to categorize and understand everything you've talked about it with it before. GrokBot also has access to tools. So, skills, plugins, all of the paradigms that you've seen. Yeah, name Are you Are you sharing a slide? Oh my gosh, I'm so sorry. No, I'm not.

4:01Let me share. Good call, Sankar. Sweet. Perfect. Thank you. Here we go. So, welcome to Grockbot. It's basically your team of always-on agents, as I've mentioned. And so, all of these agents that you have at your disposal are basically going to be agents that have long-list living memory, as well as tools and computers at their disposal. So, you'll see that all of these agents will actually live inside of your Grockbot interface that I'll show shortly. And what's nice about these agents is that they can actually communicate and talk to each other. So, these three things is what I want you all to take away from this session is

4:39that an agent will have or your bot will have persistent memory, it'll be integrated in your ecosystem, and it will also have access to its own computer. And I'll show all of these three things today, so you can kind of see what makes Grockbot so special and so different. The main thing that I want to hone in on today, and the main difference with Grockbot, is we were in a world where a lot of times we were just asking agents to do things for us. So, we were just saying, "Hey, can you create these slides? Hey, can you edit this file for me?" And we're going more from a

5:08task-based mental model to a persona-based mental model. So, a lot of these bots that live inside of your ecosystem, they have personalities, they have roles, they are experts in particular things. Um it's been really fun seeing how people name their different Grockbots, which has been great. And so, that's kind of a good example of how to think about, you know, this new world where you have a team of agents that are working on different

5:31things. And then, as I mentioned, you're going to go more from asking your agent to do things to delegation. Um and we'll see that in a very kind of easy example where I'm actually going to bring up a chief of staff bot, and that bot is actually going to delegate to other bots that exist inside of my ecosystem. So, again, what I want to mention today is that these bots are meant to be almost like colleagues or teammates, and they're meant to use your tools like you

5:58would use them. So, for today we're going to start again with the chief of staff bot, and that bot is going to have three bots that basically almost report to it, but that it works well with. So, the first is an inbox manager, the second is a schedule coordinator, or think about it as like a calendar manager, and then the last one is a to-do list organizer. And what's nice about all three of these, oh sorry, what's nice about all three of these is that all of them are going to be able to talk not only to the chief of staff, but also to each other. So, I'm going to

6:29show this in action, and then I'm going to pause for questions after the initial demo, um and then show you all a little bit about the controls and guardrails that we put around GrokBot as well. Okay, so let me minimize this. And this is what I'm going to show you first, which is just I have like a sample calendar. Um so, I'm going to open up my calendar here. Um and you can see I just have some stuff going on today, so I have commute, I have some workout, I have some customer calls and product syncs. Um and what I'm going to do is I'm going to have my chief of staff

7:02GrokBot actually help me organize my calendar around to-do lists that I have to do, and around kind of what's in my inbox right now. Um so, I'm going to go, minimize this, and actually open up GrokBot for you all so you all can see it for the first time. So, this is what a lot of you will see when you download GrokBot. Um it looks very similar to iMessage, or maybe like a chat-based interface that you've seen before, but we try and keep it as simple as possible, because we basically have thought that you want to work with these agents like you would with, you know, a

7:35friend, a colleague, and so we kind of created that interface to be similar. What I'm going to do is I'm going to create a new bot. I'm going to create my chief of staff bot. Um Um and this is kind of how a lot of folks really start out with Grockit Bot is just working and seeing what their paradigm for organization is. So, in here I'm actually going to click on this bot. I'm

7:56going to call it chief of staff. And I'm going to say, "You're my day-to-day organizer. Um helps me stay on top of things." And you can see it immediately responds to what I name it. Um so, it's able to understand, "Okay, this is my job." And it's going to kind of like point me in the right direction of does it, you know, do I want it to run the day? Do I want it to herd other agents or

8:20something more specific? What I'm going to do is I'm actually going to ask it to spin up those three or two other agents that I liked. So, I'm going to say, "Um I would like you to spin up a inbox manager, a calendar scheduler, and a What was my last one? Um a to-do list organizer.

8:42And how work with those bots." And what's nice about this is I can always talk to my agent as it's working. So, I can even say, "Um make sure that you're able to access my calendar and my personal Gmail account." So, while it's working, let me actually show you how I connect to some of the tools and plugins that actually exist within Grogbot. So, you'll see here that

9:11there's just one kind of entry point. It's called plugins. And you'll notice that I have a couple that's connected already. So, I have Gmail, I have Google Drive, I have calendar. Um other common ones that people have are Notion, Slack. But depending on your domain and your role, you can also connect to Salesforce, to Clay, to HubSpot. Um if you're an engineer, obviously you can connect to GitHub, GitLab, all of these other tools that exist. And what's nice about this is that it is such an easy way to connect that you can also even connect multiple accounts. So, I can have my personal email, maybe my shared

9:43calendar with my partner, my work email all connected in the same Grok Bot instance and it would be able to identify between the different accounts. Awesome. So, what you'll see here, and this is so cool, is that it has my three different bots here. They're all different colors, different shapes. Um and then my chief of staff actually has a little staff group chat with all of them. So, I can see here that, you know, all of them are kind of, you know, can talk to each other, can work on things together. Um and so, it's kind of up to me if I want to put stuff in this group

10:13chat here, but I can also have my chief of staff be the one doing the delegating. So, you can see here that it's connected uh to my personal email plus my family calendar and my, you know, calendar with my partner. Um and so, it's going to ask me to maybe work on a particular task related to my calendar and to my to-do list. So, what I'm going to do is I'm going to keep talking to my chief of staff here. Um and I'm going to say, uh I'm actually going to use voice mode here. I'm going to say, Oop, allow. I'm going to say, I have a

10:43ton of to-do lists uh or a ton of things on my to-do list. I need to do my laundry, I need to call my grandmother, I have to go buy groceries for a big dinner party this weekend. Um and then tomorrow I am meeting up with a friend to help her with a presentation for

10:58work. So, I'm going to pause. I'm going to send that over. It's going to transcribe. Um so, I'm going to say, I have a ton of things on my to-do list. Just like that. Take that part out. Oop, sorry. Ton of things. Um and I'm going to ask it to uh work with my calendar scheduler and my to-do list organizer to slot these tasks in

11:25when I have time. And notice that you can tag your agents just like you would tag a person in an iMessage group chat. Um I like that because it kind of tells the chief of staff who I wanted to coordinate with. A lot of times it'll do that on its own as well. But this is kind of a good way uh for kind of the chief of staff to realize, you know, this is these are the

11:43people that I want you talking to. And so what we're going to see is that it's going to actually uh put all of these things on my calendar. Um, and what I can do if I want to maybe customize this or make it more my own is I can actually teach it the types of things that I like to do at particular times. So for example, I can say, create a skill that shows or that make sure that my chief of staff always knows to that I like to do

12:17laundry late at night. Um, so you can see here I'm asking it to kind of learn from my my general day-to-day. And what this means is that not only does this agent have memory, but it's able to learn from my preferences. So this skill, which is tends to be a an AI paradigm of basically a superpower that the agent has, now lives in my chief of staff forever. And it'll be able to learn going forward if I ever want to do laundry that it should schedule that

12:43late at night. So you can see here that it kind of makes a plan for me. Um, I'm going to go ahead and see what it messaged my two different bots so I can see that it told my calendar scheduler, like, "Hey, Amrita asked us to slot these tasks. These are my proposed holds." Um, I can also go back and see, you know, what it messaged maybe my to-do organizer. It said that it captured these four tasks and I can actually go and see what those four tasks are. So this is a very cool kind of new paradigm where we're able to see how agents can delegate to each

13:16other, how they can talk to each other. I've even seen agents push back on each other and we'll actually see an example of that in an engineering use case where you have a front-end and back-end engineer talking to each other. But now if we go to my calendar, let's see how it did. Uh cool. All right. So, looks like it did exactly what I want where it said I need to call my grandmother here. Um I

13:37think it put my laundry later at night. There it is. Um and then it said I need to help my friend with my work presentation and the grocery run for the weekend dinner party is on Saturday. Um and I like this because, you know, I can change this around. I can customize it even more. Um I can make things recurring and I can do all of that

13:55through my Rockbot. Awesome. I'm going to pause here. Nate and Fussel, are there any questions I can answer around this uh just general delegation framework? I don't think anything specific to delegation framework, but we have just been getting a lot of questions on theme of skills, markdown files, like how that differ from, you know, using the Cursor desktop app and and I think you're probably going to get into it with like teaching Grokbot a skill from a video demonstration and sort of how that that all works. So, I think we'll we'll answer most of those uh throughout the

14:27presentation. Absolutely. And I'll actually cover skills very quickly here. So, we see that I added that skill to my chief of staff, which is the the fact that I do laundry late at night. Um you can see here if I actually click into the skill, skills are very straightforward in Grokbot. It basically has a name, a description, and then instructions for the agent. What's nice about these skills is first of all, they're shareable. So, it's very easy to actually publish this skill and then maybe give it to Nate or someone else on my team. And then they can use that same skill very easily. Um similarly, if you

14:58have skills that are more engineering-focused, for example, if I actually show you my full list of skills, go to plugins down here, you can see that I have a skill for my QA agent. Um she's called QA Quincy. And I basically tell her how I want her to do screen recording for a QA test. And you can see here that, you know, I have instructions on what to record, how to do it. But, this is an example of, you know, a skill that you could maybe take from Cursor or any of your previous AI

15:25tools and just plop right into Grokbot. And what Nate was mentioning, which is uh kind of where we're going to start talking about computer use, is that you can teach your agent a skill as well. So, for example, if I want to teach my Chief of Staff agent, uh let's say how to book a flight for a family vacation I'm going on, I can actually open up my Chief of Staff's computer. So, this is all uh all kind of on a remote VM. Each of my agents, each of my bots here have access to their own computers. And I can often

15:55see it, you know, do things on its own. But what I like to do sometimes is actually teach them how to do something. So, for example, I can hit this teach a task button and I can actually click into the browser here. And I can say um I want to look at flights from SFO to NYC. And I can basically teach it the types of flight that I like booking. So, for example, I always want to use an United. Um I always want to fly, preferably early in the morning. Um and then, you know, if there's anything related to the flights itself, the type of seats I want, um

16:27it's able to kind of understand that. And if I just pause this now and go back here, my Chief of Staff is now able to learn from this demonstration. It's able to see how someone can book a flight or how I can book a flight, the type of preferences I have. And it will turn that demo into a skill. So, now my Chief of Staff can, you know, put this flight into my calendar and basically keep learning from all these different

16:49workflows that I'm showing it. Awesome. So, a little thing about computer use. Um right now, uh Grokbot has access to all of these plugins, but there are times where there is a plugin that doesn't exist or there's certain things that it can't access via an MCP. That's where computer use really comes into handy. Um you'll notice that, you know, for if you ever want to create slides and maybe I actually don't know if if PowerPoint is a plugin here. Looks like it's not, but you can easily teach your chief of staff how to make PowerPoint decks by just

17:20opening up PowerPoint on your Linux VM. Um you can also teach it how to make slides in Google Slides if you want. Um and so doing all of those showcasing, doing all of the teaching of skills, really makes it easy for Grok Bot to be able to use its own computer and do all

17:35of these things for you. The last thing that I want to highlight here, um and as I mentioned Grok Bot is available on mobile, it's available on desktop, is that Grok Bot operates completely remotely, meaning that I can close my laptop and my chief of staff, my organizer, my calendar scheduler, will all still run with no problem. I don't need to keep my laptop open. I can have all of these agents running in the background. They can run while I'm in a meeting. They can run while I'm away from my keyboard. And then I can come back and see the output. So what we really see from Grok Bot in terms of

18:07value and ROI is the fact that you save time. You save so much time just by having these agents work in the background for you and complete things that, you know, can be tedious, that can be time-consuming, and that can often times be impossible to fit in a 24-hour day. These agents are able to do all of

18:23those things for you. Okay. Um one thing that I wanted to show besides skills, um so you can see here that it's turning this skill into a flight skill, and we'll come back to this shortly, um is a routine. So you can see here that I have this very simple button just called create routine, um where I can actually give my Grok Bot a um you know, basically just a recurring or a scheduled set of tasks

18:49that I want it to do. Um and here's the Google Flights skill that I just created from that video I showed it. Amazing. Um a very common routine, or one that I actually depend on, is having a routine for my inbox. So I'm going to go to my inbox manager now. We haven't worked too closely with him yet, but let's see how

19:07he does. Um and what I'm going to do with him is So actually going to say, um every morning, so I'm going to say, I want you to be like my morning briefing routine. I'm going to say, every morning I want you to go through my inbox. And I'm someone that subscribes to a lot of different magazines, newspapers, journalistic, you know, Substack, all of those things, but I always don't have time to check all of them because they're kind of scattered through my inbox in between a bunch of spam. Um, so I'm going to say, every morning going to go through my inbox, I want you to check

19:41all the newsletters I subscribe to, and then I want you to, uh, send me a Slack message with the highlights from each newsletter. And, you know, it can be like Pragmatic Engineer, which I love. It can be The Skimm, um, Current Affairs. There's a lot of different ones that I subscribe to, and so I'm just going to ask it to basically consolidate all of that information into one place for me, as opposed to me kind of sifting through all of the unreads that I have. You can see here that I have a bunch of different triggers. So this one I would want probably every day, maybe at, you

20:17know, 9:00 a.m., uh, maybe a little earlier, 7:30. Um, but my triggers don't have to be time-based. They can be based on a message being sent. It can be based on an incident being launched. And I'll actually show an example of that shortly. Um, but cool. I'm going to make this so that it's active, and then what I'll do actually is I'll just authorize this so you all can see, um, that I'm actually logging in to Gmail for it so it's able to know that I I'm giving it permission to access my email. Just going to go in here. And then that way it will have access to my, um, my inbox

20:50and it's able to see all of these things. And this is exactly what a lot of our sales team does whenever they want to send follow-ups. It's a little what our marketing team does when they need to send like mass emails is they have kind of Rockbot give access to its email. Beautiful. Um, and then that they're able to, uh, run these routines or run these kind of scheduled uh, delegation tasks. I'm going to just do a test run right now so we can see how

21:14this does. While this is running, are there any questions I can answer from the crowd? Yeah, I think a lot of things that I'm seeing now too is related to like how do you think about tweaking or changing the memory of your Grok Bot which I think you're probably about to maybe get into here with some of the instructions and creating these routines but that's kind of another theme that I've I've seen

21:38come up in the chat. Yeah, I do think so the interesting thing about memory in Grok Bot is this is basically the first of its kind in terms of these long-lived agents that have persistent memory. Memory stored in S3 buckets so it makes it really really powerful if you ever need to ask the agent to think about something that it worked on maybe a week or two weeks ago. If you ever want to tweak your agent, I would say that routines, skills, all of the things that you would do normally in Grok Bot do help kind of make your agent become more

22:07powerful. There's also I think good examples of how you can tell your agent what not to do. LLM agents generally respond really well to patterns and anti-patterns. So a lot of times when I create skills and there's a particular thing, for example, I never want my agent to you know format my emails in a really like haphazard way. I can give an example in my skill of what a good email is versus what a bad email is. And so that's kind of a good example of how you can teach your agents to get better and to learn from what they're doing but they will do that

22:39automatically. That's kind of the beauty of Grok Bot. One thing I do want to call out though while this is running is there's also some controls that you can set with Grok Bot in terms of what it can or cannot do just from like a system level. So if I go to my action settings here, you can see I'm actually going to close this guy. You can see that you know I have some uh controls on so for example, if I don't want GrokBot to, you know, run everything without me telling it to, I can turn this off so that it will

23:10check each action before it runs. But I think this is what's really cool, which is I can give it specific instructions on when and how it should ask me for a particular task. So for example, if I want GrokBot never to send an email without my permission, I can say when GrokBot wants to send emails to external vendors, it should always ask first. I can add that as a rule. Could say when GrokBot wants to um add a new calendar event to my shared calendar, not my personal, I can say that it should always ask first. And so you can be, you know, systematic and granular here in terms

23:49of, "Hey, I don't want GrokBot ever to do X, Y, and Z." And so I'm going to add up those rules here. You can see I have some other rules that I'm saying allow automatically. And actually, when you use GrokBot for the first time, it will start prompting you being like, "Hey, do you want me to do this? Do you want me to always do this? Or do you want me to never do this?" And so it's going to go through all of these kind of test cases with you. And then as you kind of use GrokBot more and more, you can start setting those uh those guardrails in the

24:16settings automatically. So, GrokBot has memory. GrokBot can learn from its prior mistakes or from what you tell it. And then GrokBot also has controls, so you can make it very clear when it should or should not do something based on what permission you gave it. Okay. This uh morning routine is still running. Um you can see that I have a lot of unread emails. Um so it's giving me kind of just like a general, like nothing really needs a reply, a lot of things. So this is just something, a newsletter that I have to reply to between my friend group that I need to do, but other than that, um what it's

24:52going to do is that it's going to send me that newsletter highlight to Slack uh based on what I told it here. And so that's kind of a very cool way for a lot of people to use Grokbot is just as like an email triage or as an email, you know, cleaner. A lot of times I've seen that people use it as a way to kind of filter the noise

25:11and just really take what's important. I've seen people file expenses using the the computer use and the routines via Grokbot and not having to do that manually. And so these are really great ways that you can kind of take those minutes off your day that would take so much time and actually just have an

25:28agent do a number of them. Nate and Fuzzel, is there anything that you guys would like to add based on how you guys use Grokbot before I move into the engineering use case here? I think you kind of covered the way I use the inbox and calendar scheduler a lot. So I have my chief of staff and I have these what I call like utility agents. And so I'll have the chief of staff talk to the utility agents so that they can get those tasks done. And then kind of off-handing that from one agent to another so that they can kind of

26:00focus on that for me. And I think that's the theme of how bots talk to each other in Grokbot. Yeah. And in this group chat, which I love, sometimes I like to do is I like to maybe just give it a little bit of uh of leeway and say something like um my inbox and my calendar are really

26:18noisy. Can you come up with some strategies on how I can better organize my day? And sometimes I do this when I'm just so overwhelmed with the number of emails I've gotten, with the number of calendar events I have, uh with things that I know have been piling up in terms of, you know, I need to pay Xfinity, I need to respond to X, Y, and Z. This kind of lays things out for me in a really systematic way. So sometimes if you don't even know where to start. So a lot of times if you're, you know, maybe just opening up Grokbot and you're like, I

26:49want to organize my life, how do I do it? Talk to an agent about that. Get the strategy from your agent and then you can start kind of doing the delegation and the organization of your team. Um think about it like these guys are here to help you. Um they're here to kind of support you. They have access to your tools so that you go don't have to go in and do all this for you. Um I have people that have used Grok Bot to help them organize their finances. Um and we're actually going to have a series of workshops over the next coming weeks where you'll see how Grok Bot is used in

27:20every part of the the SpaceX AI org. So how our sales team uses it, how our marketing team uses it, how our FinOps teams uses it. Um and so this is kind of a cool way for you to see see a general purpose, but then also kind of dive deep into okay, what actually from this can I

27:37take into my day-to-day? Cool. And I don't really have anything else that to add, but I what I feel like when I started using Grok Bot, I always found it kind of funny to look at the interactions between your Grok Bots and like watch their little conversations. Uh so that was something that I know when I started using it, I would I would check out and it's kind of funny to see they can get quite testy with each other

27:58sometimes. Yeah, they really do have their their own personalities. Um and it's it's funny seeing what people name them. Um you'll see my engineering team is I they have they have cute little names. Um but you can see here this is an example of how a chief of staff will kind of tag the people important, you know, in this in the previous scenario when I showed, I tagged them myself, but this is a chief of staff tagging them and basically getting responses. The inbox manager is saying, "Okay, I'd run like a filter." She sees only mail that needs a reply. This morning there was 200 unread and a lot of them were from

28:32LinkedIn. The calendar scheduler is kind of giving her a take on this. So this is kind of a cool way to see what the agents think about what my day-to-day is and this is where you would input skills here and kind of give it more info about how I like to run, you know, my day.

28:50Okay, cool. Um, I'm going to switch gears now and go and talk about how I would extend this to an engineering team. Um, and we can come back and check on these guys at the end. I would actually love to see, um, oh, looks like my newsletter highlights are in Slack already. Um, so we can come back and and see how that did. Um, but I do want to talk a little bit about like how would you use this at an enterprise or an industry um, and what it looks like for particular

29:15teams. So, I'm actually going to close this and I'm going to open up my engineering team. Um, so the cool thing about GrokBot, as I mentioned, is that you can you can mold it and basically play with it so that it works inside of your guys's workflows. Um, and so this was actually based on how a lot of engineers at Cursor uh, use uh, GrokBot. And so what I'm going to show is basically I have, I think, five five teammates here. Um, my main one is tech lead Taylor, so I'm actually going to pin her, so she'll be at the top right here. Um, and she's the

29:52one that basically works, again, with her engineering team in order to build a new feature, um, or to basically push out something to production. Um, so all of these engineering personas, what's nice about this is they all have access to the repository I'm working in. Um, it's basically a flight booking repository called Flylo. Um, but what's nice about this is that again, these are not task-based agents,

30:17these are agents that are personas. Meaning that back end Bobby doesn't just have to work in this one flight booking repo. He's a back end engineer, meaning that I can give him another, you know, repository. I can give him an open source repository. I can give him a repository that he's never seen before, but because he's a back end engineer, he's going to be able to learn it, understand it, and work on it. Um, and so that's kind of the nice thing about these personas is they're able to work across multiple projects, multiple long-lived projects, but still have their their memory, their persona, and not have to, you know, get that that

30:50context switching back and forth when you're asking one agent multiple things. Um so, what I'm going to do is two things with my engineering team. I'm going to show you all how I would build a new feature. Um I'm going to start actually with tech lead Taylor on that. And then I'm going to show you all what an on-call agent actually looks like. Um so, on-call in engineering is basically people who have to immediately fix a incident or a bug that comes up, and it could be at any time of the day. Um so, I was a software engineer before this role, and there were times where I would

31:22have to wake up at 3:00 a.m. or 4:00 a.m. to fix an issue that was, you know, pulling down all or that was basically breaking production. Um and so, the nice thing about Rockbot is you don't have to do that. You can just have an agent that's always on-call, and that agent can be woken up, can be triggered at different points of the day, and be able to kind of solve those problems without kind of disrupting anyone on your

31:44engineering team and their workflow. So, I'll start first by talking to tech lead Taylor. Um you can see that I actually have a skill for tech lead Taylor, which I call the new feature grill. And this basically is a way for me to work with a tech lead on building a new feature and having her ask me

32:00questions that maybe I didn't consider. Um so, sometimes I'll call this a devil's advocate, or I'll call this grill me, which is a very common skill name. Um and you could basically use it as a thought partner when thinking of a new feature that you want to make. But for today, I turned it off just cuz she can ask a lot of questions, which is good. I like that. This is me and her going back and forth on some of them actually. Um but for today, what I'm going to do is I'm just going to ask her to work with the team. So, I'm going to

32:28say, "Work with our engineering team to build a new feature for the Flylow, that's our booking website for the Flylow um project. I want to build a way uh to not just book flights, but also lodging and hotels based on where I'm going. So, this is a pretty big feature. Um I'm probably going to need to spin up new endpoints. I'm definitely going to have brand new UI and new a new like, you know, routes and pages I'm going to have to build. Um I'm going to want QA Quincy to definitely test this end to end. And if I actually click into her here, you can see that she takes videos of

33:13everything that's going on. So, not just the front end, but she'll also confirm that the back end is working as well by taking screenshots of the network inspector. And so, this is a very prime example of why you would want your Rockbot to have access to its own computer. You can see that it can launch things on its own localhost port. Um

33:31it's able to take full end-to-end video. So, this is an example of QA Quincy taking a video of the front end and the back end engineer uh their PRs working together. Um and that's kind of another thing I want to highlight with these engineering teams is that a lot of times, you know, when you're starting on a project, the tech lead kind of works with um

33:52works with the agents on who does what. But sometimes there's a bit of a waiting game, right? Where Bobby has to put up APIs, he has to set the contract for the APIs, and then Faye has to wait on what Bobby is doing, and then build a UI based on that. Um Quincy in the scenario will have to wait to see the the back end and the front end finish. But what you can see here is that the tech lead and the QA and back end engineers are able to message each other and kind of see, "Okay, who is still waiting on what?" So, the the orchestration here

34:21and the coordination between the agents is quite seamless. It kind of takes away all of the the dead meeting time that you would need. Um and you basically have these agents talking to each other, basically being like, "Hey, have you finished this part yet? No? Okay, cool, then I'll work on this instead." Um you'll also notice I actually had two other two other agents that are no longer with us, um product page and release Riley. So, you can see back-end Bobby was able to be like, "Hey, page and Riley are not here anymore, so I'm

34:48just going to loop in Taylor and Fay." Um and so that's kind of a way for the agents again to stay sharp and be aware of what's going on around them. They don't just do exactly what's been asked of them, but they're able to coordinate with the other agents as well. So, here is Fay. She's messaged Bobby and looks like, you know, they were saying, let's actually go here. Oh, perfect. Fay said, "Hey, Taylor assigned lodging as this new thing. Um please post the contract when you have it, all the paths methods

35:16until then, you know, I need to wait." Um Bobby's starting to work on it. Fay said, "Okay, got it. Um it's going to be owner only. We're going to just do the destination lodging for now." And then back Bobby said, "Okay, this is what I'm working on. These are the endpoints just so you have an idea." And now Fay

35:31immediately can start on the front end. So, it's so quick and easy for these agents to talk to each other, um which is really great because you want these different agents to be able to to listen and communicate and know when something could be blocked. Okay. Um any questions Nate and Fuzzell from the audience here? We got a good one from Saad who said, "So, technically if I set this up properly once, I never have to open the

35:58Cursor desktop app again. [laughter] Is my understanding correct?" Um so, I I will say a lot of our engineers at Cursor, Francis Thai, um she's a wonderful engineer. She uh will probably speak on this in a couple weeks. Um she uses Grokbot pretty heavily. Um she still uses Cursor. A lot of times she'll use Cursor to review code. She'll use Cursor for certain features like Cursor Canvas um and some

36:21of the other kind of tools that we have. But, you absolutely can use Cursor, can use cloud agents, all of the tools that you get within cursor, you can use from Grokbot definitely. I will say it's a little bit more about orchestrating your agents rather than the implementation. Like if you look at the code, so both Fay and Bobby will put up PRs and those PRs you can review, you know, within cursor or within GitHub, up to you. Um so it's a little bit more about what the agents are doing and less so about, you know, how they're implementing it and what code they're writing. That I would

36:50still reserve for the cursor side of things. And actually speaking of the devil, you can even see here how uh the UI is being built. So if I hit open in cursor, you can actually see the folder that it's working in. I can actually see what the agent is doing, how it's implementing it. I'll start to see all of the files here on the right. Um so I'll see all of the diff come up. Um but you get all of the information from Bobby, from Fay into these cursor cloud agents, which is

37:18where the implementation happens. And one other thing that I've seen come up in the chat um quite a bit is just asking for more dedicated sessions on this. We're going to do a few of those, but I did see a few come up around prospecting, go-to-market, sales, stuff like that. And I actually just put a X post from one of our teammates, Krista, who wrote up a really, really nice uh sort of download of how she has used Grokbot and how it's kind of transformed how she works at Cursor on our go-to-market team. So if anybody is curious about how that works prior to the the session that

37:56we'll do later, uh just check out the link that I just put in the the Zoom chat. And she will also be leading a workshop next Wednesday actually. It's not on the calendar just yet. Um but Krista will be talking about all of the different bots that she uses for prospecting. And I'll actually I'll have a slide at the end of the session where I kind of talk about that. Prospecting, outbounding, doing follow-ups, all of those tools, she's built bots for them. She also has a chief of staff named after her very cute dog. Um, and so you can kind of see those workflows next Wednesday. And then

38:26we're going to have a series, as I mentioned, of GrokBot workshops in particular. So we'll do one for marketing, we'll do one for finance and RevOps. Um, we'll do one for, uh, I think like SDRs and just general like, you know, BDR type workflows that can really see the the ROI of using these agents. So, um, we'll definitely do a lot more of these like GrokBot for

38:46product, GrokBot for X workshops.

38:53Okay. Um, while this is working, I'm going to work with Taylor on something else. So this is another cool thing about GrokBot is, you know, Taylor's obviously communicating with these agents, but that's not her full-time job. She can handle other things. And so what I'm going to talk to her about actually, while she's working with these other

39:09agents, is spinning up an on-call agent. So I'm going to say, "Hey Taylor, I want to have an agent that's just dedicated for on-call work. I want them to be able to monitor Datadog and PagerDuty constantly and to let me know if there are any spikes in API errors or customer issues coming up." Um,

39:41"Let's spin one up." And so this is kind of where, again, you can take multiple entry points here. You can talk to your tech lead on how to build it. You could actually just go in and build it yourself with create new bot. Um, I like working with a tech lead because, again, with that grill me devil's advocate skill, she asks really good questions back. So it makes me kind of think a little deeper about the type of agent that I want here. Um, but she said, "Okay, I'll create a dedicated on-call agent pointed at Datadog and PagerDuty." As I mentioned, these are MCPs, so you can see that I have the

40:12Datadog one added already. And I don't think I I PagerDuty just yet. Yeah, I would have to add that. Oh, looks like it's part of my team, so maybe. Um but these are again tools that you can import in via the the plugins here um and just add via OAuth. If there's any custom uh you know, tools that you guys use, for example, incident.io, um you can always just ask Cursor or ask Rockbot to set that up for you um as an MCP and it'll automatically be able to identify that as well. So that's actually another good reason why you may still want to use Cursor here and there

40:43is to set up these integrations between your code and MCPs that don't exist here. The goal is to build these plugins more and more, so you can see here that, you know, we have Microsoft 365, um but we'll also have more of these tools that make it really easy to use. Um but at the end of the day, what I do really like is to start with the plugins that exist and then kind of go from there to

41:05see what gaps. All right, On-Call Ollie is up. That's so funny that it kept the alliterative names. I think that's again a testament to Grokbot's intelligence. Um let me see where On-Call Ollie is. So let me actually just message them and say, "Hey, I'm On-Call Ollie. I'm going to watch for Fly low, Datadog, and PagerDuty nights and weekends. I'll only page you if API errors spike or a customer-facing incident is actually firing." Amazing. So this basically, in terms of an ROI here, this basically takes so many hours and, you know, sleep off basically or, you know, lack of sleep off of my engineers' time. Now that I have this On-Call agent, it's

41:43able to constantly monitor these dashboards and tell me if there's anything that I should be worried about. And this is an example again of Grokbot asking permission. So you can see here that says, "Hey, I want to create a new standing automation that will fire on PagerDuty events and delegate to another agent. Um it's inventing its own routine, so it's asking me, is that okay?" Um I'm going to say sure. I'll say allow here. And then this one is to poll Datadog every 15 minutes and message Amrita on findings. So I'm going

42:11to say allow once here as well. Um and I can always again tweak this. So, if I don't want it to pull these services, what I can do is I can say like, "Hey, I only want you to message me um when there's like a specific incident that's fired. So, like if a DataDog webhook is triggered for some reason, that's when I want you to message me." Um but again, I can work with this on-call agent to see what

42:32makes sense here for my purpose. Okay. Um let's see how we're doing with our logging UI. So, you can see here that it's building it's in this cloud agent. Back in Bobby, it looks like it finished already um or it's basically done so that front-end Faye can actually work on it. QA Quincy is still holding until she gets the PRs from Bobby and Faye. Um but while this is working, I kind of want to show you all a previous run of this where we actually implemented a feature together, all all of us, on um using your credit card points to book flights. Um so, you can

43:08see here that this is Quincy actually again recording end-to-end flow of it working. Um but what Quincy does is he's able to get the PRs from Faye and uh Bobby. So, you can see here immediately Faye is able to get that, you know, front-end quick upgrade. Um you can see that Bobby is able to send that to Faye. Um and so, the back and forth between the agents for a fully fleshed out feature. So, actually let's go ahead and just open this PR so you all can see. Um the back and forth is really great because at the end I can see, okay, this is the QA follow-up. Um the QA uh I

43:41think agent also added a comment with the video. Let me see if it's still there. Maybe not. Um but that's kind of a good way again for your agent to learn what it should be should and should not be doing with your PR. So, for example, when QA Quincy first started, she wasn't taking any screenshots of the network inspector. And so, I asked her to do that and then to add those videos to the PR. So, if we actually scroll down all the way here, you can see, "Okay, the recording is on phase PR and the comment

44:11is with this particular network clip." So, if I actually go here, go back to phase PR and I scroll down, here are all the new back end end points that were set up by Bobby and I keep scrolling. Keep going. Here we go. This is my QA screen recording immediately added as a comment from me by QA Quincy. Um and you can see here that I think it even adds like a little comment at the 8-minute mark when the back end network inspector is shown saying like, "Hey, I'm confirming that this actually works and this is, you know, going to be done as expected." Um so, again, you get a

44:44full end-to-end workflow here. You get uh this product spec that is you're talking about with tech lead Taylor and then you get your fully fleshed out PR with not just unit tests by back end, but end-to-end tests by your QA Quincy agent as well. Um and so, this is how we love to build out, you know, our engineering work. Um some other examples of agents you can build besides, you know, On-Call Ali, um you can have an agent that's like a CI watcher. Um so, Francis, the engineer that I that I work closely with, she was saying that she has just like a CI watcher agent that basically checks to

45:17see if uh you know, all the tests in the PR are green and then if if not, it will keep going in and trying to auto fix things. Um and that's kind of a nice way of basically separating your DevOps agent from your back end agent. Um but there's a a bunch of different directions that you can go here. Uh for example, you can set up a product agent that's able to take all of these PRs and turn them into release notes. So, I'll actually do that with you all. Create a new bot. I'm going to call it I think the previous one I had was

45:46called product page, which I like. Product page. And I can say something like, "Takes the new features built by the engineering team and turns them into customer-facing release notes." And I can even say um the credit card point feature for Fly Low is officially complete. Can you talk to Bobby Bobby and Faye? Sorry, Fran and Faye. And um you know, get details that we can share

46:26with customers. And when we released both Grok Bot and uh Grok 4G, we'd been using this tool for a while internally. And so I know for a fact that our marketing teams worked very closely with our product teams, which worked very closely with our engineering teams to get like our blog posts, our Twitter posts, everything that we basically had to do that was customer facing, but that needed to reflect some level of technicality about the product, we were able to do via Grok Bot by these agents

46:53all talking to each other. Um so I actually want to keep this one up so we can see how it does and what it's doing here. Oh, sorry. Um but while I'm doing that, I'm going to basically show one last thing in the 3 minutes that we have before I'll break for questions. Um but if there's anything else that folks would like to see about the product, I'm happy to show

47:12it.

47:18I think um a theme was how bots can kind of talk to each other and work together. So is there um is there something you've experienced where you think maybe five or six bots talking to each other maybe gets too complicated? Is there some kind of uh benchmark that you recommend of like don't have 12 bots, you know, talking on

47:37the same topic or or anything like that? Yeah, that's a really good question. A lot of times I ask people to to try it out and see for themselves. I think me personally, this is probably the limit of the number of agents I want all talking to each other. Um and a lot of times what is nice about Grok Bot is they don't always all have to talk to each other for some, you know, tasks to get done. That's kind of where the intelligence of this agent-to-agent communication is, where if I ask Taylor to be like, "Hey, I want to build out just the UI for this feature." It's

48:08going to be smart enough to know to talk just to Faye and not to Bobby. Um and so, the agents don't always have to talk to each other. If they do, um I do think there is kind of a a an upper limit on the number of agents that you can have where it does get kind of confusing. But, it's up to you. Um and again, it's how you want to organize your team. Every org, every industry, and every enterprise has, you know, their teams organized differently and they have their leadership and their managers organized differently. So, what's nice about this and I think what makes Grok Bot so fun is you are in

48:38control. You get to be the CEO here and you get to kind of organize your agents how you like and what makes sense to you. Um so, a bit of a non-answer there because, you know, it's kind of dependent on what you see, but you will notice that the agents are smart enough to know who should pull in at the right

48:54time without pulling in everybody. Yeah. And also, just to echo, I also have like around 12 to 15 agents as as my job. [laughter] Yeah. Yeah. Um that fossil is is stronger than me. I don't think I can handle that many agents, but yeah. Cool. So, this is an example of of page basically getting the customer copy about the the one-time credit card payment feature that we worked on earlier. Um what's nice is Bobby was like, "Hey, by the way, we also just implemented this new feature on

49:23destination lodging. Don't forget that." Um and so, giving that customer-facing um piece to to product pages well. Um you can see that QA Quincy is now starting on the QA for back-end and front-end for the lodging piece, which is great. Um so, it's going to run the full-stack cases with network and use the desktop here. So, let's see actually if I can see it working. Not yet. I'll keep this open so we can see what it does. Um there we go. It's launching those. And then, front-end Faye is actually asking me if I can push code changes to a PR that other team members can see, which is nice. This is a good

49:57example of GrokBot being like, "Hey, I want to make sure you're okay with this." And I'm going to say, "Sure, that's totally fine." Um And so, this is kind of where you, you know, talk to your agents and make sure that you are giving them the level of uh access and permissions that you're

50:13comfortable with. Okay, the last thing that I do want to show is the mobile app. Um so, again, it's available on the App Store. Um and we highly recommend that folks actually just download it and see for themselves kind of the difference. It's very seamless between the desktop and the mobile app, but obviously, you have a little less real estate with with the

50:34mobile app just cuz it's on your phone. What I'm going to do actually is I'm going to mirror my phone, so you all can see what the mobile app looks like. Um but again, as I remember or as I recommend I highly recommend you all downloading it. Um so, I'm just going to connect right here. Give me 1 second. And here we go. So, here are all of my agents. Um we have Friend and Fay, Quincy, Bobby. And then, we also have Product Page, On-Call Ollie. Um I can scroll down and see the the Inbox Manager, Chief of Staff, all the guys I had earlier. Um but if I click into, for

51:05example, Friend and Fay, you can see that it looks really, you know, very, very similar. I can see the messaging between the bots still, so I can go and see all of that communication end-to-end. Um as I mentioned, you can add files or images. So, for example, uh if you want Friend and Fay to copy a particular website or a particular brand style, you can always just add that here. And then, voice mode. This I think is what makes uh using GrokBot on the go

51:29so easy is that you can just talk to it. You can send it a message, and then it will immediately start working. So, especially for your Chief of Staff, if I immediately was like, "Hey, I forgot to buy groceries. Can you please add this to my to-do list?" It will automatically do that, and then we're good to go. Um so again, really easy to coordinate across all of these agents. Saves you so much time, um you know, both from a work standpoint and a personal standpoint, but then also is just it's fun. I think that's what I love most about Rockbot is that it's a really, really fun tool to use. It makes

52:01working with agents easy. It makes it interesting and also I think it's just a real I think what I'm what I'm happy about is that this is like a really, really big leap in technology and I'm super excited that Space X AI and Kaskus get to be a part of that. Um cool. So this is the mobile app. Again, you know, pretty straightforward, pretty easy. Launching new bots, group

52:23new group chats, pretty straightforward. Everything that I showed you earlier is available here in the mobile app. It's just, you know, a little bit constrained vertically. Okay. Before we finish, I do want to just top off with two last slides as a little leave behinds. Sorry, let me open my my keynote. Um so what I want to show is the other use cases. And again, as I mentioned, we're going to have specific Rockbot workshops on this. So in the marketing use case, these are two examples where you can have a media manager and a growth manager that again works across your ecosystem. For sales, you can have

52:59a prospecting bot and an outbound bot. And these are again just the beginning. There's so many other use cases that you can think of, I'm sure, for folks who live in these in these domains. And then the last thing is what did we cover today in terms of what makes Rockbot different and so powerful? I think it's again the fact that bots that act like teammates. These are colleagues that can talk to you, they can talk to each other, they can talk to their superior. Um the persistent memory and continuously learning. Um these are bots that are able to remember what they did before. For example, when back end Bobby

53:30was talking to product page and was like, "Hey, by the way, we worked on this new thing. Did you forget about that? That's something that we should, you know, keep in mind." And then lastly, the fact that work is constantly happening even when the laptop is closed. So, you can launch Grokbot from your phone, you can launch it from your laptop, but then you can go ahead and close your laptop, be done for the day, and these agents will still continue on. Um so, a very cool product, very excited to share this, and I'm excited to see how you guys are going to use it. As I mentioned, um if you want

54:00to use it, you would want to go to x.ai/bot. You either download it for a Mac or on your phone, um and these are kind of the subscriptions that you will need in order to try it out. Um but please give us feedback. It is a really, really cool feature. Um and we've seen a ton of different use cases on Twitter. There's a one that I love about someone who is now running their entire plumbing company via Grokbot and has saved them hours of the their their day. Um so, there's there's really a lot to uncover

54:27here. Okay. I'm going to stop sharing now. Actually, you know what? I'll I'll keep Grokbot on the screen so that y'all can maybe just continue to see it work. Oops. Wrong Grokbot. Let's go back here. There we go. Um I'll keep it on the screen, um but I'm happy to open it up for questions in the last 5 minutes that we have. Are there anything any themes any things that I

54:49can help answer? I think we've gotten a number of questions around Well, first, uh uh checking out the recording of this. Um I'll go ahead and put a link to our workshops page uh on cursor.com. So, uh this is where you'll be able to see um Rita mentioned that Krista from our go-to-market team is going to be doing uh another workshop next week on how to

55:14use Grokbot for go-to-market use cases. So, that will all be available on the link I just put into the chat. And this is also where you can find uh previous workshops that we've held. So, if you guys are curious about checking out any other like on-demand content, uh the recording should all be posted there. And then I believe we should follow up uh if you input your email into the Luma uh invite with a uh an email when the recording is available. So you guys will get notified, but if you're ever curious about things you maybe didn't intend or miss in the past, a lot of those are

55:47available on the link I just put in the chat as well. Amazing. I'm looking at some questions here. Again, as Nate mentioned, we will send the recording out. Um People are asking the best way to improve self or have self-improving loops with Grok Bot. Next thing is that Grok Bot will do that for you. So it will learn from itself and continuously kind of get better as you use it. But adding skills, adding routines, things that will basically make it more customizable to you will probably help. Um some other questions are can Grok Bot use your phone to make calls? I do know a number of people that

56:27have connected Grok Bot to their iMessage API so they can actually have a scheduled Grok Bot that texts you know, their roommates to do the trash or something like that. And so I'm sure maybe you can probably you know, wire it up to make phone calls, but I think the the iMessage use case is a very popular one. Um and then Shawn asked about some

56:46sort of token context window limit. There is no context window limit in in Grok Bot because of the the fact that memory stored in S3 buckets. And so you don't have to worry about context ever getting degraded here.

57:04Okay. Um if folks have used Grok Bot already, I would love for folks to put in the chat what they have been using it for. If not, I'm happy to Yeah, I see that someone has a raised hand. If they want to come off mute and ask questions, I'm happy to take any live questions for the

57:19last couple minutes that we have. It could also Oh, yeah. A couple live questions. Okay. Um Alec, I think I saw your hand first. Do you want to come off mute here?

57:40Hi Rita. I had a just a quick question about the the continual learning and persistent memory thing. Yeah. So, is it is it similar to the way like humans work where it's going to store core concepts and things like that? Like almost like like episodic memory instead of having uh oh my gosh, I can't think of the word right now, but like picture-perfect memory like LLMs have so that it's more so relying on its abilities than it is its memory. And then the second question that kind of is a follow-up to that is whenever you're working on new tasks, how does it is it just it that first

58:15time that you do it? Is it going to kind of be rough where you're going to have to baby sit it along the way? And then after that, it's going to continue to get better or is it something that it can essentially figure it out in one shot the task that it hasn't done in the past. Cuz I know Richard Sutton kind of talked about that on the Sequoia Capital podcast, I think a little while ago. So, I'm just curious how Grok Bot kind of fits into those two those two aspects of

58:36things. Yeah. Great questions. I'll answer the second one first, which is I think with most agents, the cold start problem is is probably going to be there regardless where when you talk to an agent for the first time, you might have to do a little bit of hand-holding. You you kind of saw it a little bit when the chief of staff agent was like, "Hey, I'm a chief of staff, but I don't really know what exactly you

58:56want me to do here." I do think as and then that kind of leads into your second question, which is the memory. I do think right now the the memory that we have is like a more picture-perfect LLM type memory where you can teach it skills, you can teach it videos, you can give it information that it's able to just consume based on, you know, what it's able to see. I do think the goal, however, is to improve memory as like our number one feature so that it remembers things like a human would. So, episodic memory or even like memory related to uh things that it's uh you

59:30know seen or listened to. So, you know, the concept mapping uh idea that that a lot of humans have. So, I think that is the goal is to improve memory so that it's not just like an LLM-based memory but more human-based. Um but I think that will take a little bit of time and

59:43training on our end as well. Thank you. Um cool. And then Max and Chance, since you guys have your hands up, I'm happy to stay for like a couple more minutes and answer those questions. Max, you want to go first?

1:00:05I can't hear you, Max, if you're talking. Unfortunately. Okay, can you hear me now? Yes, I can. Perfect. Sorry. Um so, um a couple questions. I've been in first off, awesome job. I mean, this was like a full Claude code type of moment, open Claude type of moment. And, you know, on X, people have just been going crazy with this, creating groups. And I think it's really rare to have that opportunity. So, just kudos to to you and the whole um SpaceX AI and Cursor teams on pulling this off. Um super cool. And um in terms of where uh I run a retail execution business. And

1:00:47uh we we serve some of the biggest um food and beverage CPG brands like the Poppys, Olipops, Chomps, Siips, and uh Tastes. So, um one of the things that is um we're having a difficult time with, and I think this might be common in a lot of service providers, is tribal knowledge documentation. So, we have like a tab for everyone to, you know, document their SOPs. And even with like record and replay and code acts and different things like that. And right now I have um two different technical hires, a senior director of AI/BI, and an

1:01:20automation engineer that we just hired. And we're out Grokbot and we're planning on, you know, getting this to scale out to the entire team of about 130 Amazing. So, we want to really figure everything out first. So, the first big thing is I noticed uh, you know, the the inklings of this of passive workflow discovery. Is there anything in the product roadmap for passive workflow discovery where it can monitor clicks, inputs, waste and suggest automations um, and skills to build for Grokbot

1:01:49based on computer activity? Yeah, I think so you might have seen it in a couple of the agents where it recommended building an automation. Like for example, the on-call agent. It was like, "Hey, my automation is going to be uh, you know, polling Datadog or PagerDuty." Um, I think another one was my inbox manager when it was like a clean slate. The first thing it recommended was like, "Hey, my automation is going to be like filtering out any spam emails." So, I think there is in the LLM or in in in the, you know, the agent itself, there is some preconceived notion of what you might

1:02:24want to do. However, I agree with you with the tribal knowledge. I think the more I mean, and this is true across every AI product, the more context and the more info you give it, the better it will be at actually making a decision or doing something. Um, and so I do think that hopefully as Grokbot gets better, it will be more aware of you know, passive dynamic workflows and so it's able to see like, "Hey, you know, Amrita is often going to Google Flights, you know,

1:02:51um, in in you know, her chief of staff. Maybe we should just automatically keep that as a skill." Um, but I think for now the teach a skill via that video recording is the best way to do it and just feeding it info. So, I don't know where your tribal docs, sorry, your tribal knowledge docs live, but like if you can connect to Confluence, to Google Drive, to wherever, giving it that is

1:03:11really important. That's awesome. And one other quick question is um, the other thing that our team's been absolutely obsessed with right now is we locked into like an annual open AI subscription and I'm hoping to switch it to Rock Bot and just go all in with you guys. Great. But one of the things that everyone is obsessed with right now is the voice mode within Coda app where you can orchestrate and people are now setting up skills that you know, do a pre-flight intelligence and then interview them in the morning and then

1:03:42Yeah. put task notions that AI can execute and create fan out different tasks to do those. So I was just imagining like this is such a cool opportunity as I cuz I know that you guys have a pretty advanced voice mode yourself. Yes. on the benchmarks and if you had not only the ability to have like the main orchestrator that you're talking with have that but also each different bot have its own personality where you can join a group call and almost feel like you're in a room full of team employees where they're all talking back to you with their own voices and personalities and giving their expert advice if you're

1:04:17trying to solve like a really difficult problem engineering problem wise or something like that. That would just be like the coolest AGI moment I think for me. Yeah, and I I will say I'm I think there will be a lot of advancements on that end because we we have Grap Voice as a part of SpaceX AI that's going to be a

1:04:34big part of our our product suite. So yeah, I am I am hoping for that as well. I think Grap Voice is great. It powers a lot of kind of really important pieces of technology already. So yeah, I I think that's definitely not far on the road map and I'm excited to see how that manifests in the product as

1:04:52well. Awesome. Thank you so much. Of course. I think unfortunately I do have to drop folks. I did see two other hands Chance and one other. If you would like to email me, Nate or or Fasal, our emails I'll actually just put mine in the chat. It's Amrita at X sorry at cursor.com Um, soon to be Amrita at x.ai. We're still in the process. Um, but yeah, thank you everyone for joining. I hope this is

1:05:18useful. The recording will be out soon. Thanks, team. Thank you, Fuzzel and Nate. Really appreciate it.