Name: Marketing Agents at Work: How to Accelerate Campaign Execution
Uploaded: 2026-07-29T18:01:18.508Z
Duration: 39 min
Description: Marketing Agents at Work: How to Accelerate Campaign Execution

Transcript for "Marketing Agents at Work: How to Accelerate Campaign Execution": Welcome, everyone. We'll be starting here in a minute or two. And while we wait, if you wanna share where you're joining from, that would be great. Vancouver. Nice. Ukraine, New York. Wow. We got a full house today. Alright. We'll give it about another thirty seconds here, and then we'll dive in. Alright. Okay. We'll go ahead and get started. Thank you everyone for joining us today. I'm Ryan. I'll be your host for the next forty five minutes. And today, we're gonna be talking about a challenge every marketing team is currently feeling. Marketing tools promise a lot, but still work gets stuck moving between them, context gets lost. And today, we're gonna be making that problem visible, and then we're gonna show you what it looks like when your tools work altogether. Before we jump in, let's go over a few housekeeping items. Just because of the size of today's webinar, everyone is actually gonna be muted automatically. If you do want captions, you can go ahead and click the CC button at the bottom of your screen. And please feel free to use the q and a throughout the session. Our team is answering questions behind the scenes, but we will try to leave some time for live q and a at the end. And don't worry about taking notes. We will be following up with everyone and sending a recording of the video afterward. Now that we've got that covered, let's introduce ourselves. So I'm Ryan McCumber, agent architect for Superhuman Go. I've been with the company around four years, and I help teams build agents to solve real business problems. I'm excited to be joined by an incredible group of partners today with Nick, Al, and Cody. So I'm gonna give each of them a minute or, you know, a moment to introduce themselves and their companies. I'll go ahead and pass it over to Nick. Thanks so much, Ryan. Great to be here and, excited to share a little bit more about Granola. If you can't tell by the accent, I'm based out of The UK in London. I see a few folks in the chat who are also based out of The UK, so, solidarity. Granola is the AI note notetaker for people in back to back meetings. I'm the head of customer success there, and I've been there for just over seven or eight months now. Really excited to share how we use granola and Superhuman to, get the most out of our meetings as well. Great stuff. I'll hand over to Cody. Cool. Thank you so much. So, hey, everyone. My name is Cody Holden. I'm representing HubSpot today where I'm a senior product manager in in our ecosystem department. I saw a few different locations in here I'm familiar with. So I'm living in Austin, but I'm originally from outside of New Orleans, Louisiana, which I saw earlier in the chat. And if you're unfamiliar with HubSpot, we're a CRM, which is a customer relationship management software, and, we enable businesses to make all of their data unified fast and easy, both for agents and humans alike. So really excited to be here with this group and talk to you guys, and I'll pass it over to Al. Thanks, Cody. Hi, everyone. My name is Alvaro Lukin. I'm an AI resident at Gamma. Gamma turns your notes into a polished presentation in minutes. Over a 100,000,000 people use it to skip the design work and get straight to presenting. So let me know if any questions here in the chat. I'm super excited to be here and present gamma. Great. Really appreciate it, everyone. Let's go ahead and dive in. Okay. Let's start with the good news. Marketing tools have never been better. There's amazing tools for data, writing, design, planning, video, you name it. The problem is they don't always work together. So every time work moves from one tool to another, a little bit of context gets lost. Alright. That's where campaigns become harder to manage and marketers spend more time connecting the tools than actually doing marketing. So our research backs this up. We surveyed more than 1,500 knowledge workers including over 300 marketers and around 60% of marketers say their tools feel fragmented. 55% of those, agree that tool confusion has actually disrupted their work. Whether that's missed deadlines or the wrong information, they simply lose momentum. And this sounds like a small problem, but it starts to add up quickly over time. So what do teams actually need? They don't need another disconnected tool. What they need is one connected system where context moves with them across work. Instead of people acting as the glue between every application, the tools work together automatically. And that's exactly what we're gonna show today. We have some specialized agents, and they're gonna be connected through one unified workflow. And with that, I'll go ahead and hand it over to Cody. Awesome. Thank you so much. So, hey, everyone. Again, name's Cody here from HubSpot. I'd like to highlight, a few things that we have going on. It's really transforming data, into context. But, also, I saw a few HubSpot users in the chat. Love to see that. I hope we get a few more. But if anyone would like to connect after the call, please find me on LinkedIn. I'm under the same name, and face there as well. So to get started, I just wanna give you guys a quick picture of where HubSpot traditionally has provided value and then how we've been up leveling beyond that via age AI and agentic workflows. So let's hop right in. So the core value with HubSpot is simple. Everything from your contacts to your campaigns across every team and department lives in one place. So really unifying this data is where HubSpot generally outperforms a patchwork of spreadsheets, docs, and disconnected services. So with HubSpot, you can imagine your service team, your support team, marketing, sales, everyone being able to coordinate and collaborate with access to that same data, the same integrations, and the same interactions. However, as AI changes, help companies operate, we've had to really evolve here too as well. It's it's not just really good enough anymore just to have the data in one place. It's about transforming that data into context. So whereas data represents really the information that your company thrives on, context carries the larger picture of what and why. And, really, this context is what's gonna give your agents, your automated workflows, and AI native companies the ability to actually act on your data and really help your business move forward rather than tell you more about what you already know. Our investment here is really strong. We have 20 plus, Breeze agents that we've just announced, in our new agent builder, which I'd love for you guys to check out if you've seen that on LinkedIn. It allows you to build agents that don't just know what your business is doing, but know what the next step can be, and it's all predicated on this context. Really, this unification of data and transforming information into context is what I'm excited about building into HubSpot, and I'm really excited about seeing that later in the demo. So let's talk a little bit further in the next slide. One item there is just your CRM data shouldn't live in a separate tab. Even with, like, the best great the best data and the best agents, if that information lives behind a separate service, separate UI, separate tab, you can't really activate it in the moment that matters, and that agent is really lacking that why that I was speaking to earlier. Every time a login becomes disconnected, you have to go to a new screen or you're copying pasting things between systems, data can go stale, duplications can creep in. And by the time that you're mentally context switched, kind of the the spark of what you're trying to do for your business has moved on. At HubSpot, we really wanna enable you to do the best that you can do for your business more so than just be caught up in the minutia of organizing this data. It should just work for you. So next slide, please. This is really exactly the the problem that, super human's been solving and part of the reason I'm so excited to be here with these partners today. Superhuman Go really brings your CRM out of its tab and into your flow so your customer data travels with you wherever you're working. I don't wanna give up way too much for the demo, so I'll leave that. But, really, the ability to take action in HubSpot from where you are with the context of where you are is gonna enable your team to do so much more, so much faster, and I'm really excited to see more of this going forward. So with that, if you guys like to connect, please see me on LinkedIn, and I'll be happy to pass it to Nick Taylor from Granola. Oh, Nick, I think you're on on mute. That would be helpful, Tom. You thank you so much. Yeah. Thanks a lot, Cody. I, I wanna start with a quick story to talk about, why granola is important. For a long time, I spent a long time taking notes the old school way, kind of half listening and half typing and never really fully doing either one very well. And I don't know about you, but I used to walk out of a call sometimes and realized I missed something or maybe I've written down the wrong thing. Your attention is split the whole time, essentially. So granola removes that trade off. You can stay present in the conversation, and your notes just happen on their own. We sit in the meeting and transcribe what's being said. And once the meeting's done, your notes and the transcript are used to make a simple, easy to read, highly accurate summary of the meeting. So let's move on to the next slide. Yeah. So, let's be specific about what you as marketers would actually want. These are three pains that I think I felt, and I'm sure you all have too. Let's talk about them. On a kickoff call, it's easy for people to sometimes leave with slightly different versions of what was agreed. Memory isn't always reliable under pressure, and sometimes something gets built off one person's version of events. And a few weeks later, you're rehashing a decision. With granola, you have access to that decision instantly. You can share it with everyone and even go back and get the direct quote about what people thought in that meeting. It's just at your fingertips. And in creative reviews, they're even more streamlined now. You've got your laptop, your phone, or even our brand new Apple Watch app, which we launched yesterday, to transcribe the the review and then take those notes immediately into your tools. For example, our designers for our recent website redesign head to Figma immediately, take a look at the notes that they've taken in Granola via the MCP, and update the Figma file immediately by just prompting it and saying, look at Granola. And finally, your customer calls, they're an absolute gold mine. Someone may hear something sharp and specific from a customer, and it just ends up in their head instead of making it its way into the deck or into Slack or, into your kinda way your messaging lives. And so searching across all of your calls is available in Granola. If people share that context with you, you can go ahead and extract access to your customer calls, user research calls, and get all those key nuggets of insight into how users feel about your product. It's all at your fingertips. So how about we think about how we use granola's MCP and Superhuman specifically? So if we head on to the next slide, we'll talk about, yeah. So this is what's really exciting. Oops. Sorry. Yeah. This is what's really exciting. With this, MCP integration, we can bring all that rich context into where you are in Superhuman. A summary after a meeting is kind of table stakes at this point. It's what most tools do today. But when I use Superhuman, in my day to day, it's a little bit different. Maybe if I'm halfway through a follow-up or maybe I don't fully remember where we landed off the back of a very long meeting, I instead of kinda digging through my own notes, I just ask right there in Superhuman while I'm writing. I get the answer in a couple of seconds, and I can keep typing and sending that email. Or a step further, if I want to, I can just hand over to Superhuman and look at your gran and the granola notes and draft an email automatically. And your notes are just essentially a click away in Superhuman from you. Great stuff. I'll hand over to Al now, and he'll take you through everything from Gong. Thank you, Nick. So Gamma gives you AI powered deck creation. So as it says here in the slide, Gamma is the fastest way for marketing teams to turn ideas into polished work. So this is a marketing specific web webinar and everything, but it really applies to everything. It's really cool because for me, I was I used to be a teacher, so I was creating a lot of decks typically on very tight turnaround times. So, you know, it's cool to be part of the team bringing the solution and creating it now. For marketing teams specifically, there's a lot of pain points in the process. Right? You do a lot of research. You pull a lot of data from a lot of sources and context, and you compile all that into one place, but then you still have to make it shareable across teams and different use cases. And that last step can really eat up valuable time for you and your team at scale, especially. So that's where Gamma steps in and kinda takes takes a lot of things off your plate. You bring the ideas, and Gamma handles the story and design. Next slide, please. Cool. So specifically on Gamma and Superhuman, the Gamma agent actually lives right in Superhuman Go. So any article that you're viewing in your browser or any content, you point go at it, and you get a finished deck in minutes just like that. And, you'll see this in in Ryan's demo a little later. It's a it's a really cool thing to to witness. Can I get the next slide, please? Alright. So your data in the room where the work happens. So all that context you build up in HubSpot, in granola, and all these fantastic tools, right, you can connect it directly into Gemma. So with HubSpot, all the campaign results all all of a sudden become a unified, beautiful stakeholder update deck in one step. Granola, all the meeting notes, all those insights, all those rich data points that you find from your meeting, you can now turn into quick shareable slides across teams and use cases. Same with all these other tools and connectors. There's one source of truth, which is so cool. You're working off live data. You're not working off off remnants, and you're not producing all these different artifacts and decks across time, which is such a such a cool unlock in this economy. Can I get the next slide, please? Alright. Cool. So one example, HubSpot to Gamma. The the the GIF is is a little hard to see granted, but, basically, what I'm doing here is I'm prompting gamma, and I'm saying, pull my, current sales pipe my current deals pipeline from HubSpot and turn it into a shareable deck that, you know, highlights wins closed. Right? So you can point gamma at your deals pipeline, and it builds the whole deck live from your CRM data. This is a really cool use case. Can I get the next slide as well, please? Oh, alright. Oh, that that cool. So idea to gamma I thought I was done there for a second. No. There's more good stuff to share. We have idea to gamma in one line. So last slide, I presented kind of this connector driven flow where you're connecting context from all these different tools across your organization. Really think about it. You know, HubSpot and Granola and all all and you can cross connect them too in in in such cool prompts to to make amazing text. Like, you know, summarize my current CRM data from HubSpot in relation to the granola meetings that I had with x and y client. Such cool prompts that you can think of. But in general, gamma is really good for this in one line prompt. So you can type one sentence, and Gamma builds the whole deck. It's a little hard to see in this in this in this little visual, but I I just prompted make me a deck about San Francisco. And Gamma goes ahead and includes a lot of good stuff, history and landmarks, all the good stuff. You can see how quick it is. Anyway, that's it for me, and then I'm excited to check out, the demo, throwing it right back to Ryan. Thanks, everyone. Yeah. Appreciate that, Al and Nick and Cody and yeah. Al, I remember the first time I demoed, gamma for a a customer, and being able to use the screen context within Go and have it generate an entire deck based off of that was truly mind blowing. So it's one of my favorites to go to, all of these connectors. So now that we've heard a little bit about what each tool can do individually, Let's watch them work together. So we're gonna meet Jordan here. She is a growth marketer at Acme, and her team is launching a summer campaign for new AI scheduling assistant called AcmeSync. We'll watch Jordan go from a blank page to a finished campaign without constantly having to switch tabs. Next slide. Great. And like Cody said, data is everything. Every campaign starts with data. Normally, that means opening HubSpot, running reports, copying information, pasting it somewhere else. But instead, you can see Jordan here simply asking HubSpot within Superhuman Go to summarize the audience from the previous campaign. So it's gonna go off, connect to HubSpot, pull in that rich context. And within seconds, she has industry pain points and audience insights right in her document. Next, she's gonna pull the spring campaign results. So she already has the performance context she needs. So, again, reaching out, it's gonna go ahead and pull this directly from the HubSpot account. And no extra tabs. We're all we're right within the document still, so no copying and pasting. Superhuman Go natively works with Superhuman docs, so anything generated is actually pushed right into the document. And just the right information is exactly where she's working, right in the flow of work. But campaign data is only part of the story. Jordan also needs everything discussed during this week's kickoff meeting. She didn't take notes, but luckily, her company uses Granola. It is connected to Superhuman Go. And even though she didn't take notes, Granola did. So she asked the Granola agent to summarize the kickoff, and it's gonna go ahead and pull the goals, budget, message directing or direction, team feedback, and action items along with the open questions. Now we're moving into Go. She has everything she needs, the campaign data from HubSpot, the meeting context from granola. But her doc, doc is looking a little bit rough here, so she's gonna use Go to polish off the notes, turning it into a full campaign brief, using the template her teammate uses. So pulling that template, she's gonna ask it to fill in the goals, audience, tactics, and timeline, and this is all gonna come through on the Superhuman doc completely structured and ready to go. Now Grammarly picks up a few suggestions, and Jordan's gonna go through and make those corrections. And Joan Jordan knows that her manager doesn't really like a lot of fluff. So she's gonna prompt go again here, and she's gonna ask go to tighten it up a bit further here. Perfect. We'll go ahead and send that. Oh, perfect. Yeah. And so now that we have everything cleaned up, ready to go, one step left, still within the document, Jordan needs campaign assets. So instead of starting over in another application, she just asks Gamma to simply generate them. And so this is gonna use the screen context, both from the document and then also chat history to generate the brief. So it uses approved brand templates. So, her design team has gone in and created a brand template and she's gonna ask it to create a LinkedIn carousel for the campaign. So just a few seconds, Jordan has brand aligned creative, ready to publish. And this looks great. I I absolutely love this. And, again, no rebuilding, no starting from scratch, no losing context. And that's the entire workflow. She didn't have to move, to any other applications, didn't have to reorient herself, and that cuts down on time and, she's able to move on to the next task much quicker. So from kickoff meeting to final campaign asset, everything stayed connected, and that's what connected AI actually looks like. It's this is what's possible when your stack actually works as one system. Alright. Let's go ahead and open it up for questions, and thank you for every everyone has been very engaged in this webinar. I really appreciate it. Thanks to everybody who submitted a question. Let's see here. Let's start with this question. Cody, how does the data sync work? Does it update in real time, or do I still need to refresh manually? Sure. Yep. So I think the main thing that we're gonna be operating from there is it's all prompt based. So whenever you're executing that prompt, against HubSpot, you're gonna be getting that data that's latest there. There's not an extraneous, like, syncing function that you guys will have to look at like that. However, let's say if I'm prompting, I'm getting a response and it's working on that. And, and then in the meantime, let's say some other Intrepid member of my team is making changes in there, you know, we might get some stuff lost, in that flow. So I think some of that stuff is really important. You don't have to be hyper conscious about, syncing timelines or or some data stales staleness with this. It's gonna be largely prompt based. But the importance of you guys really sequencing this plan and interacting with other members of your team to understand which areas you're operating is gonna help you avoid the small, risk that you may have there. But yeah. Great question. Yeah. Great answer. Thank you so much. Let's see here. Alright. So this one looks like it's for Al. How much does the output actually look like our brand, and does it still need a lot of cleanup or reviews after, generation? Yeah. Yeah. Good question. It it I I think kind of copying Cody's answer a bit, it's kind of prompt based. So you need to be a good prompter to get, you know, the best outcome from from the start, from the right out of the gate, but it's pretty brand specific once you give it what it needs. Right? It needs to know what to base itself on gamma in order to give you what you want. But, generally, you, for one, you can edit right out of the gate. So if if it's if it if the direction is not right right out of the gate, you can quickly edit it and get it moving in the right direction. So on brand is really easy to get to from your initial prompt. And if not, at the editing stage, which is right out of the gate or after generation. It's really easy to edit whether manually or with the agent. So you can say you know, you can prompt it and say, I want, you know, these theme colors, these templates, and so on and so on. Great. Thank you so much. Just to be fair, let me look for one for Nick. Alright. Here we go. Alright, Nick. How does Granola decide what actually matters versus, just everything that was said in a meeting? Yeah. Great question. So Granoda doesn't compress everything that was said. Essentially, it looks for the context of the meeting, who's there, what kind of meeting it is, any notes you've written, and it tries to understand the purpose of the meeting. It then prioritizes concrete decisions, insights it thinks you'll find useful, and some next steps, and it's gonna filter out repetition, small talk, and any tangents during the meeting as well. The aim is basically to produce notes a thoughtful person in the room would have written rather than just a compressed transcript, essentially. Perfect. Thank you so much. And I'll go ahead and take one here myself. So how much time does it take to set up these connectors, like the ones we saw today? Really just a few clicks. So as long it's license based. So as long as you have access to your own license, you have your password, maybe you have SSO set up for that application like Granola, HubSpot, Gamma, you would go ahead and connect that right in Superhuman Go. I think it's, like, you know, four clicks, basically. You get logged in and you're ready to go. So it's just a few minutes to get, set up and ready to go. And let me just review a few more here. Let's see. Alright. One more for me. Should you use the agents built into Superhuman Go, or should you build your own? This is a really good question, especially with, you know, our connectors available from, you know, HubSpot, Gamma, and Granola. I think I think the answer is both. So utilizing Superhuman Go, like, just the agent out of the box with the attached connectors from HubSpot, Gamma, and Granola, is super powerful because it will orchestrate between those connectors for your outcome. And because those connectors are already purpose built for that workflow, they are able to pull the structured data, perfectly. Then if you're looking to, work on a specific workflow that's maybe unique to your organization or maybe it's repetitive, you can definitely build a custom agent. We didn't really go into that today too much, but you can build it with a simple prompt. So just simply asking Superhuman Go, can I build a campaign brief agent? And then connecting Gamma, and Granola and HubSpot directly to it, and then building out and explaining what you're looking for it to do. And then it's a repeatable process that you can share with your team. Just reading the chat here. Okay. And what safeguards do you have in place? So, yeah. I mean, I think the the biggest thing I'd say is that just because everything is connected, it doesn't mean it's un unguarded. I mentioned that everything has to be licensed in order to actually use that connector. So when Superhuman connects to your work tools, it really is respecting the governance and permissions that you already have in place. And agents should really only be able to access the data and actions, they're authorized to do. So, we do have a human in the loop approach. If anything is going to be taking action and executing something, you will get a little card to ask, approve, or deny. But, hopefully, that answers that. Let me just see here. Let's see. Is there any specific demo that applies to a day to day? All this can be replicated in cloud and MCP and skills. That's a really good one. So, we use cloud here internally. I'm sure everyone else on the the call does as well. Maybe, codecs or Chat2BT as well. Where Superhuman Go comes into play is, when you're actually getting to, like, the work surface, you are, you know, most of us are not ready to have Claude published completely on its own. It might get you the first draft, but there is that polish stage or the correction stage. And being able to do that with a agent that understands your business, has all the same connectors, is able to help you with Grammarly, clean it up, polish it, and get you on brand and and and style, plus know what deals and campaigns are in your pipeline, help you generate decks, and understand what meetings and calls you are on. It's just a seamless transition from basically ideation to workspace. Without that, you're you're you're gonna miss a lot of random errors or maybe some hallucinations you weren't aware of. Okay. Alright. I'm just going back to the chat here and q and a. What are the limitations with what can be connected and what systems cannot? So, we are constantly publishing new connectors weekly. We partner with, teams like the partners on this call, to make sure that they are able to integrate into the system, build the official connector. But, we also make it extremely easy to attach one yourself. So if you if you're able to access the MCP link and you have the, authorization to do that, you can go ahead and add any MCP or connector to our system relatively easily. Let's see. So this one is for Al. I have a sales presentations audio recording transcripts pulling into gamma via AI, but each time the presentation is different I I know you can create a template, but can you use the template in an API created presentation? Great question. Yeah. Yes. You can. And I'm happy to speak more, obviously, here or later. Reach out to me in whatever way, LinkedIn, Twitter, whatever. And happy to help you get up and and going with the Gamma API. It's actually incredibly useful. You can, yeah, you can automate workflows using the API and then always use a specific type of template and style so that it, you know, it generally always comes out looking like it came out from the similar pipeline. We actually have, you know, folks wanting things to come out different every time, like, very different, and then folks, obviously, for a lot of use cases to just come out looking the same. So the API does work with templates and is very powerful. Reach out to me if you need any help, get to get going, and I'm I'm happy to help. Perfect. Appreciate the answer. Alright. This one's for Cody. For teams already using a CRM like HubSpot, what is the best way to bring AI into message development and segmentation? Sure. Yeah. I think it's a great question. You know, at a higher level, a lot of this is tools more so than solutions, so it could vary from, partner to partner. But I do think one one thing is, like, an overarching principle here. One of the things we don't wanna do is have all these AI tools and then it's spam our customers with AI generated copy just, across the board. So what I would probably recommend for someone who already has, like, a relatively hygienic, HubSpot or CRM instance, would be building kind of dynamic lists, filtered by behavioral signals. So let's say, you know, last email open, deal stage, deals that haven't been contacted, like a reengagement motion. I would be very, very precise about my audiences and my segmentation. Once I have those segments existing, I could have my reps, like, working directly, from Superhuman Mail with that list. I could use auto drafts to write that message, in their voice. Superhuman Go could surface that contact so I could actually work within Superhuman Go at that, super, Superhuman mail moment to ensure all that data is correct, without me having to change contacts or tabs. So, really, what I think the best thing, to do is that hygiene and organization segmentation is really important, and that's gonna enable you guys to take advantage of a lot of these AI tools. So I would definitely focus on, you know, reengagement first or really defining that user persona, and then leveraging things like dynamic list into Superhuman Mail and Superhuman Go to really get that focused approach, in those segments and not really a a spray a spray and pray environment. Yeah. Great question. And, also, there's a a minor one I saw earlier. We do have a HubSpot connector in Cloud. So if you'd like to use it in Cloud, you can use that, as well. And then the interactions that you saw with Superhuman Go and HubSpot are available. It's, technically connecting into HubSpot instead of out. So minor correction about you know, it's not necessarily in HubSpot, but it connects too, and and that's all available. And then, as mentioned, previously, anybody would like to connect or talk more about this more thoroughly, I'm Cody Holden on LinkedIn as well. But, yeah, thanks for your question. Perfect. Thank you so much, Cody. And this will be our last one. It looks like this one's from Lauren, and it's, for Nick. So where do the notes and data reside? As a marketing agency, we have to follow different customers' privacy policies as well as Yeah. NDAs. Great question, Lauren. Thanks for asking it. So, Granola stores transcripts, notes, any account data on AWS in the cloud. It's based out of the Eastern United States, and we encrypt our data as well in transit and in rest. We don't actually store any audio as well. We also don't allow, like, any third party providers like OpenAI, Anthropic to train on your data as well, and it's worth noting that we're SOC two certified. We work with a lot of highly regulated customers across the globe in financial services, private equity, venture capital, even health care as well. So I'd be very surprised if it's something that that kind of reaches that policy. We do have a trust center that you can always go to, which I'll just pop in the chat, in a second. And, if you have any kind of further questions, as the others have said, you can find me on LinkedIn. I'm very happy to to answer any and all questions related to your question. Perfect. Thank you so much. Well, that is all the time we have for today. Nick, Al, Cody, really appreciate it. Thank you all for joining us. And before we wrap, please take a moment to answer the poll. And if you would like to see Superhuman Go in your own workflows, our team would love to connect. Feel free to reach out to me on LinkedIn as well. We will also send today's recording and a follow-up email. And thanks again, you know, for spending some time with us today, and I hope you have a great rest of your day.