Deploying Agentic SDRs

[ 02:59:05 ] Flo Crivello: Thanks. Thanks. Amanda. Hello, everyone.
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Julia Nimchinski: Fall!
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Julia Nimchinski: How are you.
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Flo Crivello: Hello! Good! How are you? How’s the panel going so far?
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Julia Nimchinski: Amazing a lots of conversations in our slack to all of you who are joining just now. You can see the slack link in the lower right corner screen join the conversation. We are gonna be demoing the deployment of agentic Sdrs.
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Flo Crivello: Yeah, absolutely. And remind me, Julia, how much time do we have for Q. And a.
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Julia Nimchinski: 15 min easy.
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Flo Crivello: Alright beautiful. Okay. So let me share my screen real quick.
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Flo Crivello: Can everyone see my screen?
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Flo Crivello: So I I know that there’s generally a lot of talk about AI agents, and it’s very easy to get ahead of oneself and and and and sound like

[ 03:00:04 ] Flo Crivello: you’re taking crazy pills. So I just like to like always kick it off like a super. Quick demo just like show. Don’t tell. And I’ll show a lead research on outreach shield that I have here. That’s a Lindy I created behind the scenes. That’s what it looks like. It’s it’s really simple. It’s like, okay. You receive a message about the lead. You research this lead on the Internet. And then you draft an email that’s like really simple. The magic, though, is with AI agents in general
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Flo Crivello: is like, obviously they work at scale. And so what that means is that I can take this Csv that I have here. Let me
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Flo Crivello: grab it real quick.
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Flo Crivello: I have the.
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Julia Nimchinski: Hello! We lost our sound. I’m so sorry.
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Flo Crivello: Oh, wow! How long have I been mutual?
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Julia Nimchinski: Okay.
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Flo Crivello: Can you hear? Can you hear me.
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Julia Nimchinski: Yeah, you’re back.
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Flo Crivello: All right. So I was saying, I’ve got this Csv. Here with a bunch of unicorn founders, and I am fitting it to Linda.
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Flo Crivello: and she’s like, Oh, this is 50 people. Are you showing me to do this? And I’m like, sure. And again, this is the magic of AI agents is like. Now, all these people are being researched simultaneously, and she’s basically performing the equivalent of
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Flo Crivello: probably an hour of work, at least like, how long would it. Take a rep to perform research about one lead and then send a personalized email to them. Like.
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Flo Crivello: you know, 10 min, you know. So this is actually 500 min of work. This is a full. This is a full day of work here. This is 8 h of work right here, right? And I just did it in User Summit. It took me like 20 seconds.
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Flo Crivello: Right? So right here I gather down. I know this gather has been making waves in the total office space. I really like your vision. And I saw your recent news. And and here’s the example I’m giving is, suppose you’re prospecting, and you’re selling real estate right? So like, are you looking to expand your real estate footprint? So again, this gives a taste of of what AI agents are capable of like. Not next year, like right now, today. Right? This is, I think, AI agents have come a
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Flo Crivello: feels little than people realize.
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Flo Crivello: With that, said I I do want to spend some time today talking about what we are seeing happen basically, right now, ish and like over the next year. So this is. This is what my, my talk is about today, like what you know. How? How do we think AI agents are going to impact? Go to market in 2025, and I’m going to sprinkle a bunch of demos throughout throughout my slides here.

[ 03:02:30 ] Flo Crivello: one I think we’re gonna start stopping to talk about Icp and talk a lot more about Osp. Opportunity, state profile. And so the Icp is really about like, Hey, who is the right person to reach out to. But I think it’s not just about who it’s also about when
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Flo Crivello: right? It’s like the same person at different moments in time can be a lot more open to a given pitch than at any other moment like. For example, I just use the example, and this is a real example that we have with the customer of real estate. Obviously as a company. You only look to expand your office footprint every so often, once every 2 to 4 years. Right? If we catch you at that moment you’re very open to the pitch. If we catch you any other time outside of that window. Then you’re you’re very much not open to to the conversation.
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Flo Crivello: So and and here again, this is the beauty of of the agencies that because they can work so fast as we saw in the demo here, you could ask them to monitor the same lead
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Flo Crivello: literally every day. Right? So you can take an entire base of thousands and thousands of leads. And you can have all of these agents. This would be completely impractical with humans. You would need like an army of humans with the agents is the problem you could be like, Hey, take these 5,000 leads every single day at 9 am. You research them and you catch them when it’s just the right time.
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Flo Crivello: right? And using all of these informations, that or online, or sometimes even private right, like AI agents or soon. And this is one of these things that’s going to come in 2025 AI. Agents, all going to be able to use your credentials to log into these systems and ingest private information.

[ 03:04:48 ] Flo Crivello: So that’s the the 1st thing we talked about, which is from from ISP to from Icp to Osb. I’m sorry there’s a lot of noise around, because I’m at the airport. Julia. Can you hear me? Is there a lot of background noise.
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Julia Nimchinski: Yeah, that’s why we’re hosting is on zoom and never on any event. Platform.
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Flo Crivello: I love it. Great.
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Flo Crivello: The second big change, obviously, is again, because AI agents can do this kind of work at scale. You’re going to go from cookie Cutter outreach to hyper personalized outreach. And again, the demo I just gave here is a good illustration of that, Lindy went on. The Internet, found all of these funders.
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Flo Crivello: found news about about all these funders, and then was able to say, Hey, confluence has had, like an impressive growth trajectory. I just saw your recent coverage on Linkedin. And and so all of these, all of this outreach is becoming hyper personalized increasingly.
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Flo Crivello: and, as you can see, I think what’s going to be new in 2025 is not going to be the meal capability, because the capability is here. I think it’s also going to be the ease of use of these systems.
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Flo Crivello: Today there are solutions like a clay, for example, big fan of the product. But it does take a little bit of of setup to set this up on clay. You’ve got to set up your your table and your columns, and so forth. Increasingly. It’s going to look just like very conversational. It’s going to look like, literally. Hey, here’s a list of people. Please reach out to them in a personalized fashion.
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Flo Crivello: Even. We are not totally there yet, but we do have prototypes of this internally, where, instead of setting up this workflow here, which this takes 5 min. It won’t even take 5 min. It’ll take 30 seconds. It’s just, Hey, help me reach out to people in the personalized session.
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Flo Crivello: So again, I think this combination of 2 factors, the from Icp to Osp. And the hyper personalized outreach means that you’re going to be able to reach out to the perfect person at the perfect time in the perfect way.

[ 03:06:03 ] Flo Crivello: And again, all this starting to see that right now, like response rates go up literally 2 to 3 x and win rates literally go up to 3 x, we have one customer which win rate went from 20% to 55% close one rate, because of all of these factors of hyper qualification, of the leads, of reaching out to the perfect person at the perfect time.
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Flo Crivello: Okay.
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Flo Crivello: now, when I’m here. The question I get every time is, what will we even need humans for at this point? And the answer is selling. And I think it’s important to point out that it is selling and only selling. I think any minute in the day that a human spends, not selling, not on a call, building. A relationship with a lead is a minute wasted, and everything else needs to be taken out of the plate of your reps.
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Flo Crivello: And so I’ll give concrete examples. One is obviously desk to paperwork. Right? So AI agents will, and currently do, prep you before your calls with information about your leads.
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Flo Crivello: Right? So this is a, this is an actual example of an email that I received. and Lindy was preparing you for the call. And and she’s using the context about the person she’s using her notes that she took during my meetings with this person. The last time she she saw the person she used my last emails, the person. So it’s like your agents have all of these contacts and can prepare you. So you don’t spend 5 or 10 min anymore to get prepared for these calls and and you hit the ground running during the calls.
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Flo Crivello: I’ll give one more example. Actually, that happened literally yesterday. We’re currently hiring a designer, and
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Flo Crivello: we I’m doing the reference checks for this designer right now I’m calling. I’m calling people who worked with him before. And so you can see here I was able to ask during during my my reference call with the with the designer, hey? Can you give me the summary of what he said with his areas for improvement, and what he said people would say about him, and give me 2 or 3 questions that I can ask his references about these things.

[ 03:07:56 ] Flo Crivello: And so right here and this happened, live during the the reference call right? She gave me the answer in 10 seconds, and she was able to tell me, hey, this is what he says, all his areas for improvement. This is what you can ask as follow up questions. So again, I have. It’s basically like having an intern that has been with me on all my calls. I’ll give. I’ll give one more example.
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Flo Crivello: we recently released the ability for Lindy to ingest attachments like email attachments. And so what we did is we? Asked the Lindy that has been sitting on all of customer calls. Right here.
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Flo Crivello: Can you see this?
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Flo Crivello: We’ve asked, indeed, has been on all our customer calls which customers wanted to build a workflow that involves email attachments. And right here Lily, from Teleport wanted to build a workflow to handle support email attachments. Christine Jonathan. And she just gives us a huge list of people who’ve needed this. So again, it’s the equivalent of having an employee who has sat on every meeting with every customer, and even sometimes internal meetings, and be able to ask them any questions about them.
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Flo Crivello: Obviously, AI agents update your salesforce, your hubspot after after your calls draft, follow up emails after your calls, right to proposals on Panda or Docusign generally just do everything in their power to move, deals along and prevents them from falling through the cracks. As as the audience knows, I assume, like time is the enemy of every deal, and and speeding up the deals makes a giant giant difference. There is a big difference between sending a proposal literally
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Flo Crivello: within 5 min of the end of the call versus 2 h after the end of the call. That actually makes a big difference in close rates.
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Flo Crivello: Then, obviously, meeting coaching is a very big one. There is this phenomenon that’s called the bloom to Sigma problem. That finds that the average students that received coaching performed 2 standard deviations better than average students on average, they performed better than 98% of the other students.

[ 03:10:17 ] Flo Crivello: Right? So you just take any student, you give them one on one coaching, they perform better than 98% of students. They turn into a top 2% student. Right? I think one huge opportunity of AI. By the way, that’s not discussed, I think, in education in general. But coaching is huge. Right? So now you can have a 1-on-one hyper, competent coach that sits with you on all your sales goals and provides you. Coaching after every sales call you had.
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Flo Crivello: and the coaching can be both universal, just like, Hey, like you shouldn’t like. This is a sales that practice like don’t insult like the prospects, job, or whatever or it can be tailored and based on like your own knowledge, base like, if you have a knowledge base about how to handle certain objections or like how to like your battle cards with competitors, those work those work very well.
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Flo Crivello: and then you can have an ongoing conversation with with the coaching. This is an actual example of a coaching feedback. I received a couple of months ago from my AI agent, she said. I found your explanation of Lindy too technical.

[ 03:11:19 ] Flo Crivello: and I was able to answer and ask, what did you find too technical.
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Flo Crivello: And she said, well, you said deterministic and context window and agent state.
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Flo Crivello: and I think more than the coaching one huge benefit here. That’s that’s also under discussed is, it promotes it promotes accountability.
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Flo Crivello: And the reason for that is that it can disseminate these nodes across all sorts of channels, including slack.
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Flo Crivello: So every sales meeting that happens at Lindy with anyone in the company, there is a summary that is posted on slack.
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Flo Crivello: So even though I’m not sitting on all the sales meetings. It takes me 5 min at the end of the day to just skim through these summaries, and I see exactly what was the use case that the person wanted? What questions did they have? Did any issues arise on the call and so forth?
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Flo Crivello: One.
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Flo Crivello: And then I can ask, follow up questions so like this person here. You see, it’s funny, she asked. How do I add delays to make these responses seem more natural? So people are actually asking how to make the agents slower.
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Flo Crivello: And I can just ask, like, what did we reply here? And this is the reply, and because it’s happening. This conversation is happening in the public slack channel. So the entire team knows
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Flo Crivello: that I have a snitch, if you will, in these sales calls that sits on the sales call is going to report back to me. And so this promotes tremendous accountability.
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Flo Crivello: Drawing.
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Flo Crivello: I just mentioned this one disseminates insights, and so you could very well program these AI agents that every time a competitor is mentioned every time an objection is mentioned. Every time a feature request is made. A post is made in like the Competitor Channel or the product channel, or anything like that
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Flo Crivello: again, always able to answer your follow-up questions.
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Flo Crivello: That’s all I had for today. You can learn more on here at Lindyai, and happy to answer any any follow-up questions.
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Julia Nimchinski: Thank you so much. For the last time I saw the meeting, let’s see.
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Julia Nimchinski: in fact, was in some podcast. With mark Andreesen. So that’s super impressive.
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Julia Nimchinski: Thank you.
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Julia Nimchinski: We have a question from Anna. She’s asking, does it take everything it’s doing?
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Julia Nimchinski: it does it take everything it’s info from emails.
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Julia Nimchinski: gosh, Crm and Linkedin, so we can give me the info. What if it’s the Linkedin of multiple employees? How would it work?
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Julia Nimchinski: Yeah. So basically, what are this.
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Flo Crivello: Yeah, you could. So we support like thousands of integrations. Linkedin is one of them. We are deepening our linkedin integration. Linkedin does not make it easy to to integrate with them. And and but yeah, I mean, I can give an example right here of
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Flo Crivello: It’s a Lindy that I created for
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Flo Crivello: got it? It’s a linked that I created for customers the other day that wants to reach out to influencers. And so you can see here I was like, Hey, find me 30 content creators from Tiktok and Instagram.
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Flo Crivello: And she went on Tiktok, she went on, Instagram, she found a bunch of leads. And then she started drafting again a personalized email for for each of these leads. I was giving a demo here. So I ended up not sending the email. But this is this is the idea. So yeah, we integrate with all of these sources and and and and the agent is able to talk to each of these sources at scale for any number of of of leads you have.
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Julia Nimchinski: Loria is adding to Anna’s points about emails not. Everyone is ready for meetings being recorded by AI. Conversations are being analyzed. Any thoughts on this.
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Flo Crivello: You know, you’d be surprised, I think, in a year, plus of recording all my conversations with Wendy.
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Flo Crivello: I think literally one time I’ve had someone say I was not comfortable, they were not comfortable with this. I think it is changing very rapidly with this, because these recorders are everywhere. Now, if the person is not comfortable, then it’s it’s very easy to remove the recorder. It’s 2 clicks.
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Julia Nimchinski: How does Lindy?
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Julia Nimchinski: it’s about Lindy. That’s okay. How does Lindy adapt to my preferences and communication style over time?
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Julia Nimchinski: So many questions.
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Flo Crivello: Yeah.
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Julia Nimchinski: Excellent.
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Flo Crivello: Yeah, so you can give your preferences right here. You can give her memories. And so it’s like, Hey, I want you to write in the style of a pirate, for example, and then she would always write like this. You can also see that you can configure your agents so that they ask you for confirmation before performing actions. This is actually what I did here for this lead researcher. I just demoed at the beginning of the call. You can see here in the flow detail this send email step.
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Flo Crivello: I toggled on the ask for confirmation toggle right here.
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Flo Crivello: Okay? And so when you do this. Not only does Lindy ask for confirmation before performing the action, so you can see here, this is the email that she wrote. And I can. I can edit the email. I can change it. But also she’s going to learn from the changes that I make to her actions and get better and better continuously.
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Julia Nimchinski: How does lendy, prioritize and manage multiple complex tasks simultaneously.
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Flo Crivello: Each task is treated in isolation, each task, each task, is an island so like here. This this task has no idea of this other task has no idea of this other task, unless, indeed, again, saves the memory, in which case the memory across all the tasks. So again to me, that’s the beauty of AI agents is like the the scale. They are infinitely scalable horizontally. How many tasks you give it does not matter. You can give it as many as you want.
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Julia Nimchinski: What are you? What are unique, innovative use cases where Lindy has delivered unique value.
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Flo Crivello: I think a lot of what I just showed. I’m not familiar with a lot of solutions out there in the market. That that do that, I think.
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Flo Crivello: Let me think of anything even more. I think I think every pretty much everything that I that I show them. I’d be curious to hear of other. I don’t mean to sound cocky people very often ask me who’s your biggest competitor, and I’m like, you know, I I think it’s just so early for AI agents. I actually, I mean, I know of, like a few Yc startups here and there, but like they, you know, they don’t seem nearly as mature as as a product we have here, I think pretty much. Everything I just showed is quite differentiated.
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Julia Nimchinski: What’s an example of Lindy saving teams? Time and boosting productivity.
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Flo Crivello: Yeah, I think the the lead research is a huge one. I just can’t believe humans are spending that much time doing lead research and and lead outreach is is another huge one.
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Flo Crivello: I think anything that’s got to do with information retrieval like the use case I just gave of hey? Like going back to like a previous interview and asking follow up questions. I mean, this is typically the sort of thing I would pass my executive assistant, and she would have spent probably 15 to 30 min like rewatching the interview, taking notes, sending something to me right here. This is 30 min that I that I saved to a human

1019
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Flo Crivello: comes.
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Flo Crivello: We’re seeing a lot of time savings in email workflows. I mean, everybody spends so much time in their inbox and and nobody likes it. And so email drafting, email triaging or like 2 pretty big use cases like my entire inbox is triaged by Lindy. And I probably save, I would say, 45 min every single day, not having to. I just, I just see the top. The most important, the most important emails
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Flo Crivello: customer support is is another huge one. So
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Flo Crivello: it’s actually funny. It gets very meta on Lindy in the app. You have to select. Question mark here to to get help, and when you click on it you see this, which is a Lindy
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Flo Crivello: so, and and you can build this kind of yourself and embed it on your website. And if they can not only provide help, you know. So she ingest your knowledge base, you can answer any questions about your business, and so forth. Not only can they do that, but they can also, like book meetings with. With your leads she can qualify your leads, she can redirect your leads, and and so forth.
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Flo Crivello: Oh, I’ll give one last one last answer about like one big way. We’ve saved times to people, is we we just released the ability for Lindy to make phone calls. So you can turn her into like a full blown receptionist that receives phone calls, makes phone calls and makes appointments when she receives phone calls,
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Flo Crivello: and and and that is one use case I’m particularly excited about because nothing really could until like this year, really like last year, there was no at scale AI phone call automation system, and every minute that you spend doing a phone call is a minute that you save a human from doing those those solution people. Then.
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Julia Nimchinski: Super goal flow. Curious how you think about the Roi ultimately
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Julia Nimchinski: on Lindy here. Is it human replacement, or is it just an assistant, or your thoughts here.
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Flo Crivello: It depends as much as I’d like to say. Oh, you know the talking point here, for everybody is always no, it’s not replacement. It’s augmentation, of course, sometimes it’s replacement. And so in the case of customer support, we have actually seen teams of dozens of reps be replaced by Byndi and so that does not mean that the team shrinks to 0. But it does mean that, like the the 10% of the team that you keep or dedicated to easier managing the Indies, or to handling the most complex
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Flo Crivello: support scenarios. In the case of sales the Oi is is very straightforward. It’s like you increase your win rate.

[ 03:20:19 ] Flo Crivello: and you increase the number of leads that you book because you’re reaching out to this leads at scale. And was there a second part to your question.
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Julia Nimchinski: Yeah, that’s the question. And on your product release, I’m curious. What’s what’s on the roadmap for 2025. And what’s up with cold calling? Is it even legal with AI.
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Flo Crivello: Not necessarily. If you collect consent. Well, yeah, pure cold calling for b 2 b saas with AI is illegal. We don’t. We actually block your account from doing that. But if you collect consent from your leads, it is not illegal.
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Flo Crivello: and and inbound calls on as a pretty big use case. Many people just prefer to talk on the on the phone. The the things on the roadmap. One of them is looping. So the ability for Lindy to in the same task ingest a lot of information, and and then be able to like loop through all of that information in parallel.
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Flo Crivello: I just demoed some things like this where this all happened across different tasks. But like, I said, when it happens across different tasks, these tasks are isolated, the purpose of making them the same task is that you would be able to, for example, build a research assistant like a Lindy that would perform a lot of research tasks in Pilot, and then be able to see all of the results of her research at the same time.
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Flo Crivello: That’s 1. i’m quite excited about another one is computer use. So letting Lindy actually use a virtual computer in the cloud and like move the mouse and use the keyboard, and so that just unlocks the world like you. Now, all of a sudden, we don’t need to build integrations anymore. And Lindy can talk to any system, even the ones that require login, even your internal systems. That’s going to be an absolute game changer. I would say. Those are the 2 biggest things I’m excited to to see. Yeah.
03:22:30.240 –> 03:22:33.409
Julia Nimchinski: People are asking about the pricing. How does that work.
03:22:33.860 –> 03:23:03.549
Flo Crivello: The pricing is credits based. So it’s it’s similar to a human like, you pay a human per hour right? And then every task takes a different amount of time here it’s the exact same instead of but instead of paying per hour, we pay per credit. So you can see here, this cost me 1.7 credits. One credit is one cent. It’s like an airline mile like a credit card point. Right? So this entire task here, like the searching. The Internet cost me 0 point 8 cents. And this drafting email cost me 1.7 cents. So this whole task cost me 2.5 cents.
03:23:03.600 –> 03:23:11.010
Flo Crivello: It’s ridiculously cheap is the is the bottom line. It’s it’s the equivalent of a of a very qualified human costing you about $1 per hour.
03:23:14.600 –> 03:23:18.809
Julia Nimchinski: And also there are a lot of questions about hubspot integration.
03:23:19.210 –> 03:23:22.319
Julia Nimchinski: Assume it just goes without saying correct.
03:23:22.860 –> 03:23:33.029
Flo Crivello: Yes, 100. So you can see here we have thousands and thousands of integrations, and we roll out more and more integrations literally every week. And Hubspot is right here.
03:23:33.980 –> 03:23:37.019
Flo Crivello: We’ve also got sales force. Yeah.
03:23:40.260 –> 03:23:48.819
Julia Nimchinski: So Loria is wondering if there’s if the cost that is associated is a barrier for small businesses.
03:23:49.260 –> 03:23:50.690
Julia Nimchinski: What are your thoughts here?
03:23:50.990 –> 03:24:05.140
Flo Crivello: No, because it’s pennies, if anything, small businesses, or like our biggest target. No, it has. The cost has never been a barrier. If you, if you cannot realize no why, with Lindy which costs you pennies, you’ve got bigger problems.
03:24:06.920 –> 03:24:14.139
Julia Nimchinski: Another question here. How can Sdrs use Lindy to prioritize high intent leads more effectively.
03:24:14.550 –> 03:24:26.909
Flo Crivello: Aha! That is another big use case of ours which is lead qualification. You can very much create a Lindy which ingests these leads and then perform research about
03:24:26.910 –> 03:24:45.289
Flo Crivello: at them, and then you give her, like your your criteria, to qualify them. I have a slide right here about this. This is, this is one of our top use cases so you can plug Lindy to your type, form to web hook to your email, and then she’ll decide whether someone is qualified or not based on online research.
03:24:48.030 –> 03:24:52.790
Julia Nimchinski: Anna is asking, can I have an example of your automate lead generation.
03:24:54.519 –> 03:25:01.559
Flo Crivello: The one I just gave here is the right here.
03:25:01.780 –> 03:25:16.622
Flo Crivello: This this thingy that generates, leads finds influencers on Tiktok and Instagram. I know we’re running out of time, so I’ll see if I can do this very fast. But let me give an example of something, even local food. I have this
03:25:17.340 –> 03:25:19.950
Flo Crivello: lead generator.
03:25:20.570 –> 03:25:30.849
Flo Crivello: This one is good, and I will ask her. Find me one designer working at Microsoft in Seattle.
03:25:36.070 –> 03:25:39.170
Flo Crivello: I don’t know why you would want to hire a designer for Microsoft, but
03:25:49.240 –> 03:25:55.090
Flo Crivello: takes about a minute. The beauty of it is, it takes the same time to find one lead as it does to find a thousand.
03:25:58.150 –> 03:26:04.209
Flo Crivello: Oh, she’s putting them in the Google sheets. Actually, this is funny. Right here she found this person. This is the Linkedin link
03:26:04.970 –> 03:26:10.330
Flo Crivello: to the profile, and she even created this Google sheets with the leads.
03:26:19.090 –> 03:26:20.999
Flo Crivello: Any last questions I can answer.
03:26:21.960 –> 03:26:24.690
Julia Nimchinski: Go flow. Last question.
03:26:24.810 –> 03:26:28.349
Julia Nimchinski: Just share a customer story with us. Your favorite one.
03:26:33.310 –> 03:26:36.893
Flo Crivello: My favorite favorite one is
03:26:43.550 –> 03:27:02.030
Flo Crivello: I would say. It’s it’s this influencer outreach thing here, because we have customers who use Lindy both to automate, influencer, outreach, and customers who represent influencers that like influencer agencies, and they use Lindy to filter out like the outreach, they receive
03:27:02.140 –> 03:27:06.689
Flo Crivello: and qualify only the top one. And so basically, we’re having an Indies talk to each other.
03:27:06.980 –> 03:27:15.129
Flo Crivello: So it’s not one use case. It’s 2 use cases and that to me that that’s just crazy. That’s that’s just amazing. It’s like Lindy’s selling and buying from each other. Yeah.
03:27:15.850 –> 03:27:22.219
Julia Nimchinski: How long are we from this world when basically, AI is selling to AI, and AI is buying AI.
03:27:22.220 –> 03:27:31.700
Flo Crivello: It’s here. It’s here, it’s, you know, like, you know, the quote, it’s like the future is already here. It’s just unevenly distributed. It’s here. It’s just unevenly distributed. The technology is here.

[ 03:27:32 ] Julia Nimchinski: This is an amazing ending flow. Where do our community go to support you?
03:27:37.790 –> 03:27:39.109
Julia Nimchinski: What are the next steps.
03:27:39.600 –> 03:27:47.850
Flo Crivello: You go to lindy.ai, you can sign up. You can self serve, or you can book a call with the team. And you know we we calls with folks and and help them get set up.
03:27:48.870 –> 03:28:01.380
Julia Nimchinski: Amazing. Thank you so much in closing. We want to thank again all of our partners and sponsors. Attention, they said. Common room, Lindy, fullcast and cloud lead.

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Julia Nimchinski: We will return for another AI. Summit on February 11 to 13, and keep your eyes on Hardscale Exchange.

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Julia Nimchinski: and for those of you I received a lot of messages about the recordings. People are just tuning in in the end, and in the middle

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Julia Nimchinski: of this event the recordings are going to be up next week, so be sure to check the same landing page where you registered.

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Julia Nimchinski: And yeah, any closing thoughts, Justin, Michael.

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Justin Michael: Phenomenal event. It was just great to do the tech stack stuff and to see all this

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Justin Michael: AI, that we predicted that we’ve been talking about for years, just actually starting to happen here in the era of the AI agent. So we’re going to be back with lots of AI goodness across the entire funnel super stoked on where this is all going. And it’s brave new world. So yeah, thank you all for being a part of it. And amazing job. Everyone and Julia support all the speakers, and I will see you in the community. Slack. Thanks, everyone.