From Notes to Decisions: Using AI to Turn Meetings into Action outline ready

00:00 Makenna Warner: Hello, yoav.

00:02 Yoav Grossman: Hi.

00:11 Teresa Coats: All right, we finally got in here.

00:15 Yoav Grossman: Bonjour.

00:16 Makenna Warner: Bonjour.

00:19 Teresa Coats: All right, thanks for being patient.

00:22 Teresa Coats: We had a handoff issue there.

00:26 Yoav Grossman: Okay, Is it, does it start at 11 now?

00:35 Teresa Coats: Yep, it should start right now.

00:37 Teresa Coats: I believe that McKenna, is the recording simply going to be Donna or how is this being recorded otherwise?

00:45 Makenna Warner: I think it should be because.

00:47 Makenna Warner: Yeah, I know WELLSA comes in here, downloads those and then uploads them to replay the webinar.

00:53 Teresa Coats: Perfect.

00:53 Teresa Coats: I just wanted to verify that was what was going on.

00:55 Teresa Coats: Okay, fantastic.

00:58 Teresa Coats: Okay, so I'm going to go ahead and just jump into this right here, you guys.

01:03 Teresa Coats: We'll end up doing the cut and stuff before.

01:05 Teresa Coats: So since nobody else is in yet, we can wait a couple minutes before I go into the intro.

01:09 Teresa Coats: But I do want to make sure we have enough time you all for you to actually get through the deck.

01:14 Teresa Coats: So we're going to treat this as a pre recorded and then as people come in, we do have McKenna here on the team to go through and let people in in throughout that.

01:22 Teresa Coats: So it will hear a bunch of dings.

01:24 Teresa Coats: I'm so sorry.

01:24 Teresa Coats: It's just the way that Google works.

01:26 Teresa Coats: But we do have some that and then we can just continue basically as is.

01:34 Yoav Grossman: If I think if not a lot of people join, I'll probably go faster and early.

01:41 Teresa Coats: So that's okay.

01:43 Teresa Coats: No worries.

01:44 Teresa Coats: Something we did disclose is that if there are no questions, if there's not a lot of interaction at the end, we can go ahead and create some of those questions as well and we will make sure that those are sent out and recapped.

01:56 Teresa Coats: So that will be.

01:57 Teresa Coats: That'll be something we can do and essentially put out an email campaign afterwards.

02:02 Yoav Grossman: Okay, awesome.

02:03 Makenna Warner: And just for context for you, Yoav, in the past with webinars, people tend to join maybe 10 or so minutes late because the way it shows up on their Google calendar, they have to go into our community site and then click on that to navigate into this call.

02:18 Makenna Warner: So sometimes it takes them a few minutes.

02:22 Yoav Grossman: Okay, so what do you want to do?

02:30 Yoav Grossman: Do you want to wait?

02:31 Teresa Coats: Nope.

02:32 Teresa Coats: We are good.

02:33 Teresa Coats: I just had Carl come in.

02:34 Teresa Coats: We are all good.

02:35 Teresa Coats: So I'm going to go ahead and kick off into intro really fast and pulling that up real quick.

02:46 Teresa Coats: All right, so hi everyone, welcome.

02:48 Teresa Coats: I'm Theresa Coates.

02:49 Teresa Coats: I'm co founder of Learn Air.

02:50 Teresa Coats: At Learn Air, we help teams move past AI tools and into actually building AI into the work that gets done.

02:56 Teresa Coats: Training, workflows, adoption, accountability and the human side of change.

03:00 Teresa Coats: Today's Session is a perfect example of just that.

03:03 Teresa Coats: We're talking about how teams can move from notes to decisions into real action.

03:07 Teresa Coats: Because most teams don't really have a meeting problem.

03:10 Teresa Coats: They have an execution gap.

03:11 Teresa Coats: The conversation happens, maybe a summary gets sent out, but then decisions get lost, the ownership gets fuzzy, and follow through depends on someone actually remembering to chase it down.

03:21 Teresa Coats: That's why I'm so excited to be co hosting today with Spinach AI.

03:25 Teresa Coats: We use Spinnish because it helps turn conversations into usable actual company memory.

03:31 Teresa Coats: It captures the context, the decisions, the comments, and then it also turns it into next steps.

03:37 Teresa Coats: So AI can become more than a note taker.

03:39 Teresa Coats: It becomes part of the operating system for how a team remembers to follow through and actually gets the work done.

03:45 Teresa Coats: And that matters right now, especially because agents are only as useful as a context as we actually can give them right from our work.

03:54 Teresa Coats: So without real conversations, decisions and history, even a powerful AI is guessing.

03:59 Teresa Coats: So with the right context, it can help prepare you.

04:02 Teresa Coats: It can draft follow ups, surface commitments, update systems, and keep momentum moving.

04:08 Teresa Coats: I'm also excited to introduce Yoav, co founder and CTO of Spinach AI.

04:12 Teresa Coats: Yoav brings both the technical depth and the operator perspective behind the shift from meeting notes to conversation intelligence.

04:21 Teresa Coats: While we walk through this conversation, we're going to be talking about why the data is becoming such an important layer for organizations, and what Spinish is building, and how teams can start turning meetings into execution systems.

04:33 Teresa Coats: So, a couple of quick housekeeping notes before I hand it over.

04:36 Teresa Coats: We're going to spend about 45 minutes in content and demo and then leave time for question and answer at the end.

04:43 Teresa Coats: Please do drop your questions in the chat as they come up and if something is especially relevant, we may pull it forward.

04:48 Teresa Coats: Otherwise, we'll collect them and send them out and collect them.

04:52 Teresa Coats: Also for the question answers at the end.

04:55 Teresa Coats: This session is meant to be practical, so as you listen, think about one recurring meeting where decisions or follow ups often get lost for you and your team.

05:03 Teresa Coats: With that, Yoav, I'm so glad to have you here and I'd like to turn it over to you.

05:08 Yoav Grossman: Fantastic.

05:08 Yoav Grossman: Well, thank you so much for having me.

05:11 Yoav Grossman: I'm really excited to tell you about conversational data and how to really make use of the things that you're already doing today to power agents, power your workflow and everything there.

05:22 Yoav Grossman: So I'll go ahead and share a deck to kind of walk through the content.

05:28 Yoav Grossman: So.

05:29 Yoav Grossman: All right, fantastic.

05:32 Yoav Grossman: So I'm part of Spinach AI.

05:35 Yoav Grossman: It was founded by myself and Matan Talmi and so just to give you a little bit of background about us, so we're founded back in 2021 by myself.

05:45 Yoav Grossman: I was an Uber alumni and my co founder was also AI founder with a startup that has been in the conversational and AI space for a very long time.

05:56 Yoav Grossman: And with that we were one of the first teams that got a chance to build with GPT4.

06:01 Yoav Grossman: And so we learned early on the power of AI and how it can really transform the information and the data that you are already talking in meetings, the conversations that you're having, and being able to leverage AI on top of that really allows you to focus on the conversation, extract what you need, and then really make progress on your day to day task without having to articulate everything that you want done.

06:31 Yoav Grossman: I can have a meeting and I can say I want to do X, Y and Z and then I can just ask an AI agent to tap into that and use that context.

06:40 Yoav Grossman: And so today we're powering thousands of organizations, including public enterprises, financial institution, healthcare institutions, and really helping them make use of this incredibly rich data source.

06:55 Yoav Grossman: And so the reason we got access to GPT4 is we were part of Y Combinator.

07:00 Yoav Grossman: Sam Altman used to be the president of Y Combinator, so he gave a lot of early access and a lot of access to OpenAI's tooling.

07:11 Yoav Grossman: Along with that, we're also backed by Atlassian as well as Zoom and a couple other investors.

07:19 Yoav Grossman: And we've really been focusing the last five years on how do we empower teams that really want to embody and live in this age of AI.

07:32 Yoav Grossman: And what we really found is it's all about that context.

07:36 Yoav Grossman: And I think as people are getting more and more into understanding the power of AI, they're realizing how critical it is to have access to the context.

07:48 Yoav Grossman: And so without that context, your AI and your agents really are just not as powerful.

07:54 Yoav Grossman: So diving into what we'll cover today, so we'll talk a bit about what conversational data is, why it's such a critical part for an enterprise and AI agents.

08:05 Yoav Grossman: We'll talk about where the world is going with the company brain.

08:09 Yoav Grossman: Like what is that?

08:10 Yoav Grossman: What does it mean to have a company brain?

08:12 Yoav Grossman: Why is everyone talking about that?

08:14 Yoav Grossman: We'll talk a little bit about some live use cases.

08:17 Yoav Grossman: How can you use the conversations and the things that you're already doing today in order to basically automate any sort of flows that you're doing, scale yourself up?

08:28 Yoav Grossman: We'll talk a little bit about how we think about security and compliance in the world where this, you know, this conversation data is so critical.

08:36 Yoav Grossman: And then we'll talk a little bit about where we're going and, you know, how to think about this in the future.

08:43 Yoav Grossman: So with that, I'll kind of kick off with a quote here from Thomas Lafonte.

08:47 Yoav Grossman: He's, he's a vc, you know, very well known.

08:52 Yoav Grossman: And what he, he was quoted saying is that every interaction in the enterprise within the next three years will be recorded.

09:00 Yoav Grossman: And he thinks it's going to be on by default.

09:02 Yoav Grossman: And this is what we're starting to see is people are realizing, wait, if I didn't talk about it, I can't tap into it.

09:10 Yoav Grossman: And tapping into the handwritten notes that I have really isn't that valuable in the age of AI.

09:15 Yoav Grossman: And so what we're seeing is this transformation where historically maybe I'll record a sales call or I'll record a specific webinar or those conversations, and this transformation is happening and the realization that, wait a minute, I want to record everything that I'm doing because then I can tap into that.

09:34 Yoav Grossman: And so today for me, I record everything.

09:37 Yoav Grossman: Even if I'm out and about with a customer or I'm just talking with Matan and we're on a walk, we'll record it because that data becomes so incredibly valuable for you to be able to leverage that.

09:53 Yoav Grossman: What we're seeing is this transformation where maybe people recorded a conversation here or conversation there.

10:00 Yoav Grossman: And now we're seeing people, people record everything.

10:02 Yoav Grossman: We even record our one on ones.

10:04 Yoav Grossman: And now you can basically use all of your one on one conversations.

10:08 Yoav Grossman: Tap into that with Claude and get coaching tips.

10:12 Yoav Grossman: One of my, I was chatting with Matan this week, my co founder, and one of the things that he's been working on is his, like how he communicates in different meetings and whether he uses a lot of ums and a lot of filler words.

10:30 Yoav Grossman: And right now we actually include those filler words in the transcript.

10:34 Yoav Grossman: Because what you're able to do with an AI agent is then have it analyzed and find out specifically in what part of the conversation do you typically stutter?

10:44 Yoav Grossman: Is it when you're pitching this part of the conversation or you're pitching something else?

10:49 Yoav Grossman: Like when do you start getting nervous and start using filler words?

10:53 Yoav Grossman: And then you're able to tap in and look across all of your different conversations and how do you actually understand?

11:00 Yoav Grossman: Like, okay, you know, when I do this, I use filler words, so I'm going to try differently.

11:05 Yoav Grossman: And then an AI agent afterwards can tap into that data that you've recorded and help coach.

11:10 Yoav Grossman: And so this whole world is evolving.

11:12 Yoav Grossman: And, you know, they used to be executive coaches and they called them executive coaches because you could only afford a coach if you're an executive.

11:22 Yoav Grossman: But now with AI, all of this is transforming, especially if you can give it.

11:26 Yoav Grossman: You know, here's all the emails I'm writing, here's all the conversations I'm having, and now you can have the world's greatest coach coaching you every minute of the day, every week, however much you want, and you can really improve.

11:39 Yoav Grossman: And so we believe in this ethos of, you know, once you start gathering and recording all of this data, it really fundamentally shifts how you can leverage AI in your day to day.

11:52 Yoav Grossman: And so what we see is conversation data is this big blind spot in data for AI.

12:01 Yoav Grossman: And, you know, a lot of your other data, you know, your files, your documents, email, chat, they're already ready to be used by AI.

12:09 Yoav Grossman: And all of the tools are now tapping into that.

12:12 Yoav Grossman: But a conversation that isn't recorded is invisible, you know, without recording that conversation, transforming it into a transcript, you can't actually make use of that.

12:22 Yoav Grossman: And so AI agents that are trying to, you know, enact something, don't know.

12:27 Yoav Grossman: And what we found is, you know, when you write an email or when you write a Slack message or you send a text message, all of these don't actually have enough context and information about how you're thinking about something, the decision that you're trying to make, how you're trying to articulate it, because they're kind of like snippets of thought.

12:48 Yoav Grossman: Whereas in a meeting, in a conversation, you're giving so much more rich insight about why you're doing something, you're having a rich conversation that then becomes context that, you know, everyone that was in the meeting has that context, but now you can tap into that with AI and leverage it for everything that you're doing.

13:08 Yoav Grossman: And so I send an email and say, hey, we want to build a Slack integration.

13:13 Yoav Grossman: Great.

13:13 Yoav Grossman: You know, an AI agent can kind of think what to do with that.

13:17 Yoav Grossman: But if I had a meeting and I talked about integrating with Slack, then I say, why are we doing this and how should we think about it and what are the things that we need to consider?

13:26 Yoav Grossman: And all of that specific detail and context becomes so valuable for an AI agent to then be able to craft that for you or do that follow up or help you out.

13:37 Yoav Grossman: And so that's why capturing this data is such a critical part in empowering what the enterprise brain is.

13:45 Yoav Grossman: And so what does this mean?

13:47 Yoav Grossman: Like, what is this concept of record by default?

13:50 Yoav Grossman: So we believe that there's kind of four main areas that we think about it.

13:54 Yoav Grossman: So the first is capturing every conversation.

13:58 Yoav Grossman: So whether you're in a zoom meeting, whether you're walking to a client meeting at a coffee shop, whether you're in a room and everyone else is on a zoom, every single modality, every conversation that you're having, you want to be capturing.

14:12 Yoav Grossman: You want to understand the metadata.

14:14 Yoav Grossman: Meaning, okay, who did I meet with?

14:16 Yoav Grossman: You know, right now I'm on a webinar.

14:18 Yoav Grossman: Who's on that webinar.

14:19 Yoav Grossman: So that way I can tap in and say when I met with this person on this day, you know, find out this information.

14:26 Yoav Grossman: And so really being able to capture every single conversation, no matter where it happens, from there, it's critical to centralize it.

14:34 Yoav Grossman: You want to be able to tap into this data.

14:37 Yoav Grossman: And, you know, for us, what we're seeing is people are leveraging, Claude, they're using chat, GPT, other tools to be able to tap into this data so that it's ready to be used.

14:48 Yoav Grossman: Hey, you know, when I met with Justin, you know, over the last couple of weeks, what, what were the key insights that I need to know?

14:56 Yoav Grossman: The way that I actually made this deck was I met with Justin, we talked about what we wanted to have, and then I leveraged an AI agent to help craft all of this, the specific topics and things that we wanted to talk about.

15:09 Yoav Grossman: And so that's kind of the incredible power of once you centralize and you can tap into it, you can really use it for so much more.

15:17 Yoav Grossman: The other thing is how you manage that access.

15:20 Yoav Grossman: You know, it's still, you know, we foresee a world where everything is accessible by everyone.

15:28 Yoav Grossman: Now that, that's a hard thing to imagine, that every conversation I have is now available to everyone in my company.

15:36 Yoav Grossman: So, you know, today we're not, you know, we don't think the world is ready for that yet.

15:40 Yoav Grossman: And so we help kind of manage access.

15:42 Yoav Grossman: You know, maybe my leaders have access to this group of meetings, but people under, you know, a certain level may not have access.

15:52 Yoav Grossman: So how do we enforce these different policies of what data gets shared with what person that gets shared.

15:58 Yoav Grossman: And that's a really critical part of today's world.

16:01 Yoav Grossman: But ultimately you want to create a way in which you can tap into all this information, because maybe I have a one on one meeting with someone on my team, but we dive really deeply into a really important topic that's valuable for the rest of the team.

16:17 Yoav Grossman: How can I take that information and give access to the rest of the team so they can then use it to craft?

16:23 Yoav Grossman: And so you can imagine today, passing information is.

16:26 Yoav Grossman: Is a pretty, you know, long process.

16:29 Yoav Grossman: You know, I have a meeting, then maybe I send a note to someone, and maybe I will meet with them and they will meet with someone else where with the conversation data, you can bypass all of that and say, here you go, here's all the context that you need.

16:42 Yoav Grossman: Just have your AI agent, you know, talk to my AI agent, and they'll figure out what to do.

16:47 Yoav Grossman: And so we see this world where you can really power every workflow.

16:52 Yoav Grossman: And what we're seeing companies start to do is start to leverage all of the conversation data at the entire organization, because then you can find out, you know, if you've got a couple of teams, you can find, are they working on the same thing and don't know about it?

17:08 Yoav Grossman: You know, did one team have a problem, you know, three months ago that this team is now encountering, and they have a solution for it, and it's all in the data.

17:17 Yoav Grossman: It's all in the conversation that they had.

17:19 Yoav Grossman: And so you can really tap into this kind of infinite memory, infinite knowledge.

17:25 Yoav Grossman: And the problem is, you know, every conversation that you're having that you're not recording, you're missing out.

17:31 Yoav Grossman: You're missing out on this incredibly rich data.

17:34 Yoav Grossman: And so what we believe in is start recording as much as possible.

17:38 Yoav Grossman: You know, you may not know how to leverage it today, but as you keep going and as this data set grows for you, you'll be able to do so much more.

17:48 Yoav Grossman: And, you know, you're bringing on a new team member, and you're like, oh, now I have to train this new team member.

17:54 Yoav Grossman: I have to go through, and I have to remember all of this stuff, and I need to figure it out.

17:58 Yoav Grossman: Well, imagine that all of the things that you're training this team member, you've already trained someone on or you've had conversation with your team, and you can just tap into that data and actually from there generate all of this stuff that you would need to spend maybe weeks onboarding or in weeks preparing for that onboarding.

18:18 Yoav Grossman: And so it really, you know, fundamentally changes what you can do once you're able to tap into this data.

18:24 Yoav Grossman: So continuing on, you know, what we are ultimately trying to do is build a system of record for this conversation data.

18:32 Yoav Grossman: You know, we can capture every single form of communication you can see here from zoom to in person.

18:39 Yoav Grossman: And then the real idea is how do you take that data and leverage it, whether you use it.

18:45 Yoav Grossman: So, you know, after I have a meeting, I then send a follow up message to the people I met with to let them know, you know, here's the things that we talked about and you know, what I'm going to do, what you're going to do so I can leverage that data.

18:58 Yoav Grossman: The other way is agents.

18:59 Yoav Grossman: So I use Claude and every time I, you know, I'm working on a new project, I tap into my conversation data.

19:07 Yoav Grossman: Right now we were evaluating a new platform that we were considering buying.

19:11 Yoav Grossman: And so we actually had a couple demo calls with a few different vendors.

19:18 Yoav Grossman: And with that, the demo calls and then we had internal debriefs.

19:22 Yoav Grossman: I actually consolidated all of that information and had an agent say, which platform should we choose and why?

19:29 Yoav Grossman: And so like this idea of spending weeks analyzing and figuring out it was able to tap in and say, okay, based on all the problems I heard your team talking about and based on the demos and the documentation that I've done, I recommend this and here's why.

19:44 Yoav Grossman: And what was really interesting is we just did this.

19:47 Yoav Grossman: I did this yesterday and the platform I recommended was the one that I ended up actually thinking.

19:55 Yoav Grossman: And then today I had a call with the team and we all unanimously also voted for the platform.

20:01 Yoav Grossman: That AI said this is the right platform for you.

20:04 Yoav Grossman: So it's just really interesting that it's able to pick up, identify the signals.

20:09 Yoav Grossman: It also then created a follow up list of items for me where in one demo there were some things that I really liked.

20:16 Yoav Grossman: And so I took that and I messaged it to the other provider and it was able to say, like, here's all the things that we really liked.

20:25 Yoav Grossman: And then we got answers.

20:26 Yoav Grossman: And then once we got those answers, I fed it back into my AI to help me reevaluate, you know, should we still be making this decision?

20:34 Yoav Grossman: So, you know, now by tapping in, like I tapped into a few different sources, you know, in this example I had, we had a retrospective, you know, that we actually had in a conference room where we talked about the problems and why we need a platform.

20:49 Yoav Grossman: And that fed into the requirements document that I sent to these to the vendor.

20:55 Yoav Grossman: And then that fed into the, the demo that I asked us to give us.

21:00 Yoav Grossman: And then ultimately now it's feeding into the decision making process.

21:04 Yoav Grossman: And it all started with we had a conversation of problems that we had and I tapped into that data, fed it into agents, fed it to people, and really was Able to, you know, accelerate the decision making process.

21:17 Yoav Grossman: Things that would have historically taken, you know, months of process and just a ton of work, like I need to prepare an RFP and all of this thing.

21:26 Yoav Grossman: I was able to do each of Those steps within five to 10 minutes of an agent drafting.

21:30 Yoav Grossman: I reviewed and then sent it out.

21:33 Yoav Grossman: And so that's why there's so much power in this data.

21:37 Yoav Grossman: And where we see all of this going is the idea of the company brain.

21:42 Yoav Grossman: And so this, over the last couple of months, we've seen a lot of progression in this kind of thinking because we see a world where in the future companies won't have to be as large and they'll be able to leverage AI to really fill in the gaps in a lot of spaces.

22:06 Yoav Grossman: And so the way in order to create a company that is run and managed by AI is you have to create a layer in between that allows you to, you know, allows AI to know, what does this company do?

22:24 Yoav Grossman: And so what we see is, you know, this company brand and what it means is being able to take all of the knowledge of the company.

22:33 Yoav Grossman: You know, when were we founded?

22:35 Yoav Grossman: Why were we founded?

22:36 Yoav Grossman: What do we care about?

22:38 Yoav Grossman: What's our ethics?

22:39 Yoav Grossman: How do we set our tone?

22:41 Yoav Grossman: What are the important parts, projects?

22:42 Yoav Grossman: Who are our customers?

22:44 Yoav Grossman: What do we care about right now?

22:46 Yoav Grossman: What do we care about?

22:47 Yoav Grossman: A year ago, all of these different things that we are doing at a company is the knowledge that goes into this company brand.

22:56 Yoav Grossman: You know, today the company brain is the person who's been longest at the company.

23:01 Yoav Grossman: And what do you do?

23:02 Yoav Grossman: You go to a meeting with them and you ask them, you know, hey, why did we make this decision?

23:06 Yoav Grossman: Or why did that happen?

23:08 Yoav Grossman: Well, imagine in a world where all of this data is stored somewhere and you never have to go and find, oh, he was here six years ago, but he was here seven and he worked on this project and they worked on that project.

23:21 Yoav Grossman: Now all of that data can be searchable and accessible and you can find out why decisions were made.

23:27 Yoav Grossman: And that ultimately helps with the next decision that you have to make.

23:31 Yoav Grossman: It allows you to preserve this incredibly important, important data about the company.

23:36 Yoav Grossman: It allows you to then tap in and remember.

23:40 Yoav Grossman: And the really critical piece with AI is contextualization.

23:44 Yoav Grossman: You know, if you ask chat, GPT, hey, go write me an email to, you know, to this company about X.

23:53 Yoav Grossman: It's going to make you a generic email that has nothing to do with who you are, what, what you do, why you care.

24:00 Yoav Grossman: And if you can instead ask it to write an email to a company, but then it taps in and says, okay, well, why are you talking to a company?

24:08 Yoav Grossman: Oh, because you're this company and this is what you care about.

24:10 Yoav Grossman: And here's a previous conversation.

24:12 Yoav Grossman: Now, in that email that you're writing, it's going to be significantly more focused and targeted because it knows what you care about.

24:21 Yoav Grossman: And like, for me, even with creating this deck, I was able to do it in a single shot with Claude, because in Claude I have skills, I have knowledge, I have data, and all of it is like, you know, write me a deck about this.

24:37 Yoav Grossman: And here's the conversation I had.

24:39 Yoav Grossman: And it was able to do that because it has all of this context about what we're doing, the conversations we're having with companies about company brain and, and ultimately create that for me, which would have historically taken me a week or two weeks going back and forth, drafting, thinking ed.

25:00 Yoav Grossman: Now I'm able to do it in a very short period of time because the context exists within my AI agent and it's able to tap into it.

25:10 Yoav Grossman: Ultimately, the value compounds day over day as you keep building into this brain.

25:16 Yoav Grossman: As you add more data, you get more and more value and you're able to do more and more interesting things.

25:25 Yoav Grossman: Let's talk about another piece.

25:26 Yoav Grossman: The company brain is really that, you know, library of knowledge.

25:31 Yoav Grossman: And the other piece is an AI agent.

25:33 Yoav Grossman: So, you know, we've talked about AI agents here.

25:35 Yoav Grossman: What, what does that actually mean?

25:37 Yoav Grossman: So there's a couple different kinds of agents.

25:40 Yoav Grossman: So you've got agents that are more assistant.

25:43 Yoav Grossman: You ask it a question, it responds back.

25:46 Yoav Grossman: So that, you know, that's your standard chat GPT.

25:49 Yoav Grossman: It's now in every website.

25:50 Yoav Grossman: You can ask a question and you'll get an answer.

25:52 Yoav Grossman: You can Google it, same concept, but with agents, it kind of takes it to that next step.

25:58 Yoav Grossman: So with agents, really, not only are they answering the question, but they're starting to tap into tools and data and context.

26:07 Yoav Grossman: And, you know, the model that it's using is really powering this.

26:12 Yoav Grossman: And so agents is where you start to combine not just a question and answer, but really the ability to take action.

26:21 Yoav Grossman: And so in my example earlier, you know, on the RFP that I did, you know, I had an agent, it tapped into the tools.

26:29 Yoav Grossman: The tools was my email, it tapped into my conversations from spinach, it tapped into the knowledge of who we are, and then it wrote me an email to the, the vendor that says, here's what I care about.

26:42 Yoav Grossman: It created an RFP document, a PDF that I sent to them.

26:46 Yoav Grossman: That then ultimately was able to drive the decision.

26:50 Yoav Grossman: And then at the end it was able to then analyze the PDFs and the conversation and tap into these different tools and give me a response of, here's the decision you should make.

27:03 Yoav Grossman: I can then have it create a visual representation of why I should make that.

27:08 Yoav Grossman: And so it's really like once you have all of these in ingredients, AI agents is really that workforce that ultimately allows you to achieve, you know, workflow, automation and ultimately replacing jobs that you have to do or jobs that you necessarily had others do.

27:31 Yoav Grossman: And now really every everything shifts towards how do I manage a team of agents to help me complete the things that I need to do.

27:41 Yoav Grossman: And it really turns, you know, what you can do as a single person into something you can 10x and then that, you know, think about every person on your team is now 10Xing.

27:51 Yoav Grossman: And so what you're able to do with exactly the same size of team that you have today by powering agents that have the context is significantly more powerful and what you can do and it accelerates you in all of these different areas.

28:07 Yoav Grossman: So, you know, let's talk a little bit about why conversation data, why context is so key.

28:15 Yoav Grossman: So if you have an agent and you're, you know, trying to, you know, have it send a follow up or draft a deck about, you know, what you need to present, you know, if you just ask it and it doesn't have the context, it's going to apply generic advice, not relevant.

28:33 Yoav Grossman: You know, maybe it's relevant if you, you happen to include the word of who you are.

28:39 Yoav Grossman: You know, it will often ask you, hey, what do you want me to write about?

28:43 Yoav Grossman: Like you'll have, have a bunch of follow up questions and really you want to just say like, hey, go write me a deck and I'll go do it.

28:50 Yoav Grossman: But it really makes it a much more tedious process when you don't have that layer.

28:55 Yoav Grossman: It can't recall, you know, what you cared about and ultimately you'll go through a bunch of different drops.

29:00 Yoav Grossman: You'll be like, no, this isn't it.

29:02 Yoav Grossman: Try that and try this and try that.

29:04 Yoav Grossman: And it'll keep like going down this path where it's ultimately just missing that information, the context of like why you actually care about it.

29:13 Yoav Grossman: And so, you know, the other way is, you know, with spinach or with conversation data in general.

29:20 Yoav Grossman: Now every time I'm asking it to do a task, it can ground it in a conversation about why did I even want to do that task.

29:28 Yoav Grossman: It has history on Other tasks that I've done.

29:32 Yoav Grossman: Similarly, it can recall why I care about it.

29:35 Yoav Grossman: And really I'm able to go from something that would have taken me five, six, seven, eight different versions and now I can do it in one.

29:43 Yoav Grossman: And that's a massive time savings.

29:47 Yoav Grossman: And so that's really like where you're getting so, so much leverage.

29:51 Yoav Grossman: And you know, the end result that you got in the first try was significantly better than 10 tries later without this context.

29:59 Yoav Grossman: And so it really changes how you're working with AI and how you're accelerating.

30:06 Yoav Grossman: And the other piece that's really important is memory.

30:09 Yoav Grossman: And so now with AI, you're, you're starting to see, you know, everyone is pushing the concept of memory.

30:16 Yoav Grossman: And the reason is, you know, when I ask a question of AI, if it's like I'm asking it the first time, it's not going to know, it's not going to remember, oh, you know what, I don't like you to include, you know, references to this customer when I'm writing an email or I don't like want you to, you know, write it in this style.

30:36 Yoav Grossman: I like it in this, this other approach.

30:38 Yoav Grossman: And so by adding memory, you can actually, you know, have your AI agents continue to get better and better at mimicking and doing the things that you want correctly the first time.

30:51 Yoav Grossman: And with this, you know, I was talking to Justin about this where I had a sales call and you know, three or four months ago I met with this customer and they, you know, they had certain requests and during that call I promised them a couple of things and I was like, I don't remember, I don't remember what I promised, you know, that we were going to do.

31:17 Yoav Grossman: And so I was able to tap in and ask spinach and say, hey, what, what did I promise this customer three months ago?

31:26 Yoav Grossman: And it was able to say, xyz, here's what you promised.

31:29 Yoav Grossman: And so, you know, when I went into my follow up conversation, I knew exactly the context of what we talk about, what we, we promise we'll be aligned on.

31:37 Yoav Grossman: And it really saved me a bunch of time versus me recreating the wheel, promising new or different things.

31:44 Yoav Grossman: And so you can walk in prepared.

31:46 Yoav Grossman: I was, you know, way better off having, you know, been able to tap into that data.

31:52 Yoav Grossman: And you know, it saves a ton of time.

31:54 Yoav Grossman: We don't have to be like, oh wait, I thought we said we were going to do this.

31:58 Yoav Grossman: Oh no, you know, like you're.

32:00 Yoav Grossman: All of that goes away because you already know everything that you've Already discussed, you know, three months, a year, two years ago.

32:09 Yoav Grossman: And you can walk into conversations prepared and ready to go.

32:14 Yoav Grossman: And it, it really pays dividends on like, efficiency and how you're, you know, interacting and working with others.

32:21 Yoav Grossman: Like, you know, it, it doesn't feel great when you walk into a conversation and it feels like you've never talked before when the other person has a vivid memory of what you talked about and you're like, I don't remember any of it.

32:35 Yoav Grossman: And so being able to leverage AI to be that memory, it's hard.

32:40 Yoav Grossman: It's hard to keep so much information about what's going on day to day.

32:46 Yoav Grossman: And AI can really serve as this infinite memory source for you, but the only way it can do that is if it has access to all of your memories.

32:56 Yoav Grossman: And the way that it has access to your memories is if you record them.

32:59 Yoav Grossman: And the best way to record them.

33:00 Yoav Grossman: A lot of your memories happen in conversation.

33:03 Yoav Grossman: And so that's why we really believe that conversation is such an incredibly powerful tool to be able to give you infinite memory about the decisions and the ideas.

33:14 Yoav Grossman: And, you know, you can even trend and see like, okay, I used to make decisions in this way and now I'm making them in this way.

33:20 Yoav Grossman: And what has changed?

33:22 Yoav Grossman: And so it really, really is a powerful way to leverage all of that context.

33:27 Yoav Grossman: And so how do we see organizations today leveraging this?

33:33 Yoav Grossman: And so there's a few different ways in which we see.

33:36 Yoav Grossman: So from everyone perspective, everyone can use meeting notes.

33:43 Yoav Grossman: Like everyone takes some sort of notes.

33:45 Yoav Grossman: I take no notes ever anymore because I don't need to.

33:49 Yoav Grossman: I have that data.

33:51 Yoav Grossman: I can turn it into whatever notes whenever I want.

33:53 Yoav Grossman: I can access agents, I can have it tell me what things I needed to do.

33:58 Yoav Grossman: I could have it generate documentation for me or analyze across conversation, give me rich insights.

34:05 Yoav Grossman: All of these things I can do if I just bring my dedicated note taker into a conversation and then I can focus on being fully engaged.

34:15 Yoav Grossman: I don't have to worry about, about any of these things happening because I know I have the data.

34:20 Yoav Grossman: And AI can do a much better job at writing notes than I can and make it accessible for everyone else.

34:28 Yoav Grossman: The other place that we really see this conversation data is with leadership and with leaders, what they're able to do is look across the conversations in an organization and identify, hey, where are people struggling?

34:43 Yoav Grossman: What are the things that maybe we had on all hands and we said we want to accomplish?

34:48 Yoav Grossman: Xyz.

34:49 Yoav Grossman: Imagine you can tap into every conversation across the organization and say, are people Actually enacting these new pillars or new beliefs, are we misaligned?

35:01 Yoav Grossman: Are teams duplicating work?

35:03 Yoav Grossman: All of these things help leadership manage an organization, which historically the way to do that is a bunch of middle management that's kind of like going in a bunch of meetings, understanding what's going on, they consolidated up and then weeks later you find out, oh, we've just been the three weeks going in the wrong direction or three months going in the wrong direction.

35:29 Yoav Grossman: And so now leaders are able to really drive organizational change a lot quicker and evaluate if it's actually working from a product and engineering perspective.

35:41 Yoav Grossman: This is, you know, what I use every single day I meet with my team, we record the conversation, and then I spin up AI agents.

35:49 Yoav Grossman: You know, last week I met with a customer and they were like, hey, I really wish you had this feature.

35:56 Yoav Grossman: And then they explained the feature and what it was.

35:58 Yoav Grossman: And I was able to tap into that conversation, have Claude create a ticket for us.

36:05 Yoav Grossman: That ticket was sent to a coding agent and I was able to test that within an hour of the conversation and ultimately deploy it back to the customer.

36:15 Yoav Grossman: Now these things that historically is weeks, months of time to go from a conversation to getting it prioritized and getting it already to now I have a conversation and it can become reality very shortly.

36:30 Yoav Grossman: And even during the conversation I can tap into the data and have it start to build and show me prototypes.

36:36 Yoav Grossman: And so really fundamentally changes how software is built.

36:42 Yoav Grossman: And you know, it's hard to imagine building software without taking this context because without it, you know, what you're building is really, it doesn't, it doesn't really hit the mark.

36:56 Yoav Grossman: And then the other use cases here we see sales teams, you know, automatically updating their CRM with anything you can imagine, generating recap emails and even on the HR and recruiting side, now everyone can have their own personal coach.

37:10 Yoav Grossman: They know exactly what you know, what you want to get better at.

37:14 Yoav Grossman: It can analyze it can understand, it can follow you along.

37:17 Yoav Grossman: And the quality of a coach that is based on your meeting data far surpasses a coach that you're having kind of a one on one and saying, hey, I think I'm not doing well here.

37:27 Yoav Grossman: And then they'll coach you on that, but they're not actually in the conversation.

37:31 Yoav Grossman: They don't see it.

37:32 Yoav Grossman: And so we're also starting to see a world where coaches are tapping into the conversation data from the people that they're coaching.

37:40 Yoav Grossman: And then the, their value significantly increases because they can actually pinpoint and then help you develop A coaching plan as well as, you know, what we see is people.

37:52 Yoav Grossman: You know, I used to have to write an annual review, and it was like, you know, I hated doing it.

37:58 Yoav Grossman: It would take me days.

38:00 Yoav Grossman: I would have to remember what I did.

38:02 Yoav Grossman: And now people are writing their annual review by just saying, like, okay, look at all my conversations, all of the tickets I've done, all of the meetings and the emails I've sent, and write a review that makes me look really great and I could put on my platform.

38:17 Yoav Grossman: And so now, like, these very tedious tasks, you can tap into agents with that conversation data.

38:25 Yoav Grossman: I'll do just a quick thing.

38:27 Yoav Grossman: You know, for us, you know, security is a really critical component.

38:31 Yoav Grossman: You know, this data is really critical.

38:33 Yoav Grossman: You're having very sensitive conversation.

38:36 Yoav Grossman: So on our side, we're SOC2, we're GDPR, we also work with healthcare organizations, so we're HIPAA compliant.

38:44 Yoav Grossman: The other thing to be aware of with, you know, in the age of AI is how is the data that you're providing to, you know, AI vendors being used?

38:55 Yoav Grossman: And a lot of vendors, they want to use that data so that they can train their models.

39:00 Yoav Grossman: And ultimately, you know, there's a risk that, you know, very sensitive information that you have gets into a model and someone can ask the model, hey, what is this company doing about X?

39:10 Yoav Grossman: And maybe it's in their training set.

39:13 Yoav Grossman: And so for us, we believe that the data that companies have should be their own.

39:18 Yoav Grossman: We don't use any of their data.

39:20 Yoav Grossman: We have providers that we use, and we don't allow them to be able to access or use any of this data.

39:27 Yoav Grossman: And so it's really critical for us, you know, in this world of AI, that, you know, the data that you are creating is yours.

39:35 Yoav Grossman: And, you know, any vendors that you do consider, you always want to look at, how are they using your data?

39:40 Yoav Grossman: Because it is, you know, it's ultimately your data.

39:42 Yoav Grossman: It's your sensitive information.

39:44 Yoav Grossman: You want to make sure that anyone that you're using has, like a good program about how they manage it.

39:51 Yoav Grossman: And so the last thing here is I'll show just a couple of, like, how do you tap into this data today, kind of in real scenarios.

40:00 Yoav Grossman: So I think the best example is leveraging Claude.

40:06 Yoav Grossman: So just a couple examples.

40:08 Yoav Grossman: So I created, you know, for my demos, I actually had Claude create a fictitious company.

40:14 Yoav Grossman: It's called Acme.

40:15 Yoav Grossman: It's a smoothie company.

40:18 Yoav Grossman: And so I generated all this data and now, you know, I leverage that for demos.

40:23 Yoav Grossman: And so in this example, you know, I asked them Tell me more about what ACME does from the conversations that it has.

40:31 Yoav Grossman: So I generated 30 meetings and it's able to analyze across all of the meetings, know exactly what's important at the company, what's happening.

40:40 Yoav Grossman: So you're able to get this brief of like, who are you?

40:44 Yoav Grossman: You're able to analyze, you know, if you're meeting with a customer and you have five conversations with them, you could say, you know, okay, what is this customer?

40:53 Yoav Grossman: What do they care about?

40:54 Yoav Grossman: What are the important things that they need?

40:56 Yoav Grossman: What do they not need?

40:57 Yoav Grossman: And you're able to tap into all of those conversation and generate this rich data.

41:03 Yoav Grossman: The other thing that you can do is if you've got a bunch of sales calls, you can, you know, that you're recording, you can tap in and have it evaluate, you know, what's our pipeline, how are we doing?

41:13 Yoav Grossman: Like what we actually see a lot of people challenge with is, you know, they have a sales team and their sales team is putting in estimates.

41:23 Yoav Grossman: And you know, salespeople are, are typically very positive and you know, very, what's, what's the word I'm looking for?

41:34 Yoav Grossman: Like they, they believe that a sale is going to happen and so they're, you know, what actually transpires in a conversation may not actually lead to that same outcome.

41:47 Yoav Grossman: And so AI is a really good judge of did this conversation actually go really well or did it not?

41:53 Yoav Grossman: And it can actually build out your pipeline, your forecast based on what actually happened, what the customer said, what they did over the last five conversations.

42:02 Yoav Grossman: Are you trending in the right direction?

42:03 Yoav Grossman: Are you trending in the wrong direction?

42:05 Yoav Grossman: And by tapping into this data, you can really do some incredible analysis of, of your pipeline.

42:14 Yoav Grossman: Another one that we often use is I meet with a lot of customers and they provide me a lot of feedback of things that they like, things that they don't like.

42:23 Yoav Grossman: And what I'm able to do is tap into that data and be able to say, you know, here's exactly what customers, you know, talked about the most, why they talked about it, what would the, did they actually articulate that they want?

42:38 Yoav Grossman: And this all becomes context for my AI agents to then build.

42:42 Yoav Grossman: And so I'm able to say, you know, look across all my customer conversations, make a list of the top 10 things in order of the most times that it was said to the least time and from there start building the things that my customers ultimately want.

42:56 Yoav Grossman: And you can do that.

42:57 Yoav Grossman: You know, historically this was, you know, a multi week process.

43:01 Yoav Grossman: We would go out, do research sessions, re, listen to the research session, map it on a big board, put a bunch of stickies, try and find the connection points.

43:10 Yoav Grossman: Now that process that would have taken me three to four weeks, I can do in 15 to 20 minutes by running an agent to analyze across every conversation and figure that out.

43:22 Yoav Grossman: And then, you know, same thing here around product strategy.

43:26 Yoav Grossman: You know, I can identify, you know, what is our product, product strategy, which direction should we go, how should that be informed by what we're hearing from our customers.

43:37 Yoav Grossman: And this ultimately informing where we go as a company and what we're doing.

43:42 Yoav Grossman: And so it really fundamentally shifts how you can make decisions once you have this data.

43:50 Yoav Grossman: And the last one, this has been a very common use case is you have a customer call and you then need to make sure you document.

44:01 Yoav Grossman: Everyone gets the information.

44:03 Yoav Grossman: And so what, what we see, what we're doing internally in our customers is they basically are leveraging AI agents that fill out the CRM however they want.

44:14 Yoav Grossman: You know, it's very hard to get people to like fully comply and fill out all of the nitty gritty things.

44:20 Yoav Grossman: And hey, you need to update this opportunity and you need to update that pipeline.

44:25 Yoav Grossman: And now you can just, you know, tap into the data within Spinach, ask Claude and set it up to a scheduled job or within Chat GPT.

44:34 Yoav Grossman: You have it run every single day.

44:36 Yoav Grossman: It takes all of the conversations you have and perfectly fills out your CRM and has all of the details that you need.

44:43 Yoav Grossman: And so it really fundamentally shifts how you can automate a bunch of workflows that historically you would have had to pay thousands of dollars to consultants or hired someone to try and automate.

44:55 Yoav Grossman: Now a lot of this is all possible by just plugging in, you know, assuming you have the data.

45:00 Yoav Grossman: So that that's step one.

45:02 Yoav Grossman: If you have the data, you can power it with CLAUDE or Chat GPT or a bunch of other tools that will just do all of that workflow for you.

45:11 Yoav Grossman: The other thing that we've done is we've built some pre built agents so you know, after a call you can have a sales coach that gives you insight about how you're doing.

45:22 Yoav Grossman: You can have a personal coach, you can have customer feedback or executive reports.

45:27 Yoav Grossman: And so all of this is powered by the conversations that you're already having.

45:33 Yoav Grossman: And just to give you an idea of like where we are going, you know, ourselves right now, you know, I talked about capturing is an important part.

45:42 Yoav Grossman: And so what we're trying to make sure that we have is ease of use in every sort of medium.

45:48 Yoav Grossman: Today, if you have a recording, or if you have a zoom meeting and you have your calendar connected, we're going to record it.

45:55 Yoav Grossman: It's going to be seamless and super easy.

45:57 Yoav Grossman: We want to make it really easy.

45:59 Yoav Grossman: As you walk into a convention or you walk into a store, you can open up your phone and use that, whether it's Android or iPhone.

46:07 Yoav Grossman: Same with if you walk into a conference room and you just want to hit record on your computer.

46:12 Yoav Grossman: Building out desktop app as well as how do we help leverage all of the conversation to prepare you for every meeting conversation that you're having and ultimately enabling you to tap into this data in whatever way, shape or form you want.

46:31 Yoav Grossman: And that's the really critical piece, is being able to take that and be able to use it for all of the really incredible ideas that you may have around workflows, automations, things that are specific to your company.

46:45 Yoav Grossman: You know, this is, you know, we want to make that data accessible and easy to use.

46:53 Yoav Grossman: So that's.

46:54 Yoav Grossman: That's it.

46:55 Yoav Grossman: I think I was, like, almost at the fort, like on the 45, so nice job.

47:01 Teresa Coats: That was fantastic.

47:03 Teresa Coats: I do want to just acknowledge that we do have a couple people on right now that may have questions.

47:09 Teresa Coats: And so we do want to take this time and opportunity to open the floor if anybody wants to hop in, if you have questions for Yoav while he's still on, and if not, that's totally okay as well.

47:21 Teresa Coats: But I definitely want to open up the opportunity.

47:26 Teresa Coats: So one of the things I want to acknowledge if you guys do have a question and you.

47:29 Teresa Coats: You want to chime in and chat, that's totally fine as well.

47:31 Teresa Coats: One of the things I want to acknowledge right now is you have legitimately, spinach has changed how I work in.

47:39 Teresa Coats: In every way.

47:39 Teresa Coats: Right.

47:40 Teresa Coats: So the reason I was so excited that we've had this partnership for so long, but also that we were able to co host this webinar together today is because literally my work is 100% different because of spinach.

47:53 Teresa Coats: I think back to some of my previous positions.

47:57 Teresa Coats: I was in leadership position with client relations, had a book of clients, and I literally had us, an entire staff hired from the Philippines, right.

48:07 Teresa Coats: As note takers.

48:08 Teresa Coats: And in the past, that had been the way that we had done this, and that was fantastic because we had humans on a team that were hired to help with that.

48:16 Teresa Coats: And in that, there was still the ability to lose context.

48:19 Teresa Coats: And so what makes this so special to me is not the fact that that was a job that was replaced, but the fact that right now, the way that spinach is plugged into everything, I can go back and I can have almost perfect recall in a meeting on.

48:32 Teresa Coats: I can get snapped back into a meeting with someone that I had a meeting six months ago.

48:37 Teresa Coats: It happens so easily and so fluidly because of that.

48:40 Teresa Coats: And the way that we like to refer to it here is actually meeting intelligence, because that's there.

48:45 Teresa Coats: We have that context layer.

48:48 Teresa Coats: I have literally opted to wait until I got back to my computer and I could access my spinach notes to go through and reply to an email because I was like, nope, I don't want to try to use my own recall.

49:00 Teresa Coats: I want to make sure I'm leaning into technology.

49:02 Teresa Coats: And it truly has been a game changer.

49:04 Teresa Coats: And so I just want to one, say thank you for what you're doing because it does legitimately change work in the future of work.

49:11 Teresa Coats: And I'm so excited to be partnered with you.

49:14 Yoav Grossman: Thank you so much.

49:15 Yoav Grossman: It's been great having you and the team as part of our journey.

49:20 Yoav Grossman: What's magical about AI is AI just keeps getting better.

49:24 Yoav Grossman: And, you know, the data that you have, you know, gets, like, better and better.

49:29 Yoav Grossman: And what you can do with it is, you know, so much over time, there are, you know, compounding gain.

49:35 Yoav Grossman: And so you have data from a year ago and now that data, you know, with the new model that came out last week is 10 times better than it was two weeks ago.

49:44 Yoav Grossman: So it feels like you're constantly, like the ROI keeps growing.

49:48 Yoav Grossman: So it's.

49:48 Yoav Grossman: That's super.

49:49 Teresa Coats: Yes.

49:50 Teresa Coats: I cannot agree.

49:50 Teresa Coats: And one, I just want to tell you, I'm personally so darn excited about the mobile app and the desktop app.

49:56 Teresa Coats: I operate using desktop apps as much as I can when I'm at my computer.

50:00 Teresa Coats: But fact of the matter is, is there's so many times I'm in meetings, including yesterday I was at a meeting at City hall, and I would have just loved to have had the app there, show everybody in that moment what it was capable of.

50:12 Teresa Coats: And so once that happens and that's out, you are going to have a pretty solid user over here very, very soon.

50:19 Yoav Grossman: Very soon.

50:21 Teresa Coats: Awesome.

50:22 Teresa Coats: Sam, come on.

50:24 Sam Bartow: Yeah, I'm just curious.

50:26 Sam Bartow: Right now.

50:27 Sam Bartow: I've got spinach as a part of a workflow that goes and looks at our sales team's meetings and then sends that over to the people that are in the development team so they can be aware of all the stuff we're making up.

50:40 Sam Bartow: And then also it goes through all of my meetings and then helps just update notion, update my CRM, ensure everything's going smoothly and fill me in meetings that are about to happen.

50:51 Sam Bartow: But will that ever be hosted within Spinach or do you think that that will always be a third party tool that is integrated to Spinach and then has the context of all the commitments and all of the notes of all of your meetings?

51:06 Yoav Grossman: Yeah, this is an interesting question for us.

51:09 Yoav Grossman: Like we, you know, we've been like, we're heavy users of claude and you know, the pace at which Anthropic and OpenAI is starting to catch up, the pace at which they're moving, the value that you're going to get with an integration with CLAUDE is like always going to surpass how quickly we can move now.

51:31 Yoav Grossman: You know, transparently, we, we move quickly and, and we're trying to move even quicker, but we see that, you know, there's so much value when you can tap into the data and we're going to keep investing in how we provide the data to CLAUDE to Chat GPT so that ultimately your agents can do what you want.

51:51 Yoav Grossman: What we're actually seeing a proliferation of is people are building their own agents.

51:55 Yoav Grossman: And I think right now we're still kind of like at this turning point, but everyone is starting to build their own agents.

52:02 Yoav Grossman: And you know, a lot of our, you know, our users actually don't come into the platform as much anymore because they can tap into that data.

52:11 Yoav Grossman: And so, you know, that's where we're always like balancing, like should we invest more and build if we see a world where ultimately people are going to have their own agents that they build and craft and create.

52:24 Yoav Grossman: And so we, I think our priority is always empowering you to access and be able to leverage it with your agent.

52:30 Yoav Grossman: But I will say we are planning to add some of this workflow automation for some of the things that are more like recurring and like you need done.

52:42 Yoav Grossman: But you know, we see a world where Claude and ChatGPT connected to this data is always going to be way more powerful.

52:50 Yoav Grossman: The other challenge that we're faced with is we have conversation data which is incredibly powerful and rich.

52:58 Yoav Grossman: But you know, within Claude or within ChatGPT or N8N or any of these tools or glean you have access to all of the other data to enrich it.

53:07 Yoav Grossman: And so we're always going to be at a disadvantage to the tool that has all the data.

53:12 Yoav Grossman: Now we can add that in, but now we're building claude and so, you know, it's, it's a challenge like for us we want to be the best in the world at capturing, giving you the highest quality source data and making it as easy as possible to be accessed by AI agents.

53:29 Yoav Grossman: So that's kind of like where we're focused.

53:33 Sam Bartow: Makes sense.

53:33 Sam Bartow: Thank you.

53:34 Yoav Grossman: No worries.

53:36 Teresa Coats: That's a fantastic answer too.

53:38 Teresa Coats: And I do think that there is the complexity of needing to be able to meet people where they're at.

53:42 Teresa Coats: Right.

53:43 Teresa Coats: So some people might be a desktop user and that makes more sense for them.

53:47 Teresa Coats: The automated workflow set up from there for them where some users might very heavily be leaning into the agents and building that or into backend workflows through something else.

53:55 Teresa Coats: Right.

53:56 Teresa Coats: So I really like the fact that you are taking that as kind of a dual perspective and working through that.

54:01 Teresa Coats: And I know that that adds a complexity layer from a company standpoint.

54:04 Teresa Coats: Right.

54:05 Teresa Coats: In both paths.

54:06 Teresa Coats: But I do really respect that because I can see from the companies that we've worked with in the past.

54:11 Teresa Coats: Right.

54:12 Teresa Coats: Integrating, that's all different depending on those use cases.

54:15 Yoav Grossman: And so I know that makes it hard, I'm sure, But yeah, two very distinct users.

54:23 Yoav Grossman: We have humans and we have agents.

54:25 Teresa Coats: Yeah.

54:27 Yoav Grossman: You know, what each one wants is very different.

54:30 Yoav Grossman: So it's been interesting, you know, like building for agents.

54:34 Yoav Grossman: And then, you know, we still are trying to build experiences.

54:37 Yoav Grossman: Like you come in, you can view your meetings, you can interact with with them and adding tools to it.

54:42 Yoav Grossman: And so it's, you know, we used to just be building for humans and so like now we've added a whole new user that's very interested in like what we're doing.

54:53 Yoav Grossman: And so balancing that has been interesting to say the least.

54:58 Teresa Coats: I believe that.

54:59 Teresa Coats: And you're doing a great job with it.

55:01 Teresa Coats: I know that that's, that can be complex.

55:04 Teresa Coats: Okay, any other questions?

55:05 Teresa Coats: Really fast, otherwise we're going to, going to hop off.

55:08 Teresa Coats: Just wanted to put a last second offer out there.

55:13 Teresa Coats: Awesome.

55:14 Teresa Coats: Okay, so with that, Yoav, thank you so much for joining us today.

55:18 Teresa Coats: I am just so obviously excited about what you guys are doing.

55:22 Teresa Coats: I cannot tell you how many of the clients that we work every day or work with every day, how much you are already an integral part of what they're doing now too.

55:32 Teresa Coats: I just think that one, it's so important to have that brain.

55:36 Teresa Coats: Right.

55:36 Teresa Coats: We, that is just a big piece of what I think a lot of companies are beginning to understand right now.

55:40 Teresa Coats: And you offer something that is very unique and I mean, you know, nature of what we do.

55:45 Teresa Coats: We try a lot of tools that I can tell you right now you've got something very special.

55:50 Teresa Coats: So thank you.

55:52 Teresa Coats: Just so everybody that's here on the webinar today, we will be sending out a follow up, a recap that will also have an offer that's here for all the learning attendees.

56:01 Teresa Coats: So you guys can have actually special discount for, you know, working with us and with spinach as well.

56:07 Teresa Coats: And so we want to make sure that you can take advantage of that.

56:10 Teresa Coats: Yoav, did you want to say anything last second before we hop off?

56:13 Yoav Grossman: No.

56:14 Yoav Grossman: I mean, I think, you know, if you take one thing out of, you know, the, this webinar, it's really how important it is to record your conversations.

56:24 Yoav Grossman: Whether it's spinach, whether it's another tool, it doesn't matter.

56:28 Yoav Grossman: But starting to capture that because every conversation that you're having that you're not capturing, you're, you're behind.

56:35 Yoav Grossman: And so I think that's kind of the most important is understanding, you know, even if you don't start using it, start recording everything because you'll, when the day comes, you, you'll, you'll find out how, how, you know, life changing having that information is.

56:51 Teresa Coats: I absolutely, I absolutely can agree with that.

56:54 Teresa Coats: Yes.

56:55 Teresa Coats: Well said.

56:57 Teresa Coats: Awesome.

56:57 Teresa Coats: Thank you so much for joining us today.

56:59 Teresa Coats: And thank you everybody who joined the webinar.

57:02 Teresa Coats: Appreciate it.

57:05 Yoav Grossman: Thank you.

57:06 Yoav Grossman: Bye.

57:06 Yoav Grossman: Bye.