In short
Using AI “ingestion” to turn transcripts into targeted marketing clips and to prioritize outreach by combining LinkedIn/CRM data; plus a brief live segment comparing Uber passenger ratings.
Guests
Jay Schwedelson (host, Do This Not That) and Daniel Murray (“Marky Millennial,” AI/content/marketing practitioner).
Key claims
Ingest podcast transcripts into an AI, then prompt it to act like a social expert to generate multiple audience-specific clips with strong hooks and suggested start points. Download LinkedIn “larger data archive” (connections, DMs, comments) and merge with CRM data in Claude; ask an AI “chief revenue officer” to rank best contacts using public info too. Use tools with APIs/context; otherwise switch.
Notable examples
Claude Projects for LinkedIn/CRM ranking; Uber “Uber score” and “ratings” summary (one-star counts: Jay 10, Daniel 11).
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOUber Conversations and Personal Preferences
0:45 to 2:28
A discussion about personal preferences regarding conversation during Uber rides.
“sometimes if I don't want them to get mad at me, I'll keep a conversation going even though I'm But the worst thing is when I'm in an Uber and they start talking and I'm with Ari in the Uber, Ari will not say a word.”
Using AI for Content Ingestion
2:28 to 4:58
Daniel shares tips on how to use AI to analyze podcast transcripts for content creation.
“We're going to be talking about AI ingestion.”
Leveraging LinkedIn Data with AI
4:58 to 7:40
Discussion on how to extract and utilize LinkedIn data for better outreach using AI.
“this idea of ingestion, ingestion, ingestion, I don't know, of contact information.”
Enhancing AI Context with Multiple Data Sources
7:40 to 8:37
Exploration of the benefits of connecting multiple data sources to enhance AI effectiveness.
“And if your tool doesn't allow that, you might should maybe consider looking for a new tool.”
Live Uber Score Reveal
8:37 to 10:34
A lighthearted segment where Jay and Daniel reveal their Uber scores live.
“Let's see who has the higher Uber score.”
Transcript
Automatic transcript. May contain errors.0:00Let's do something live right now. Let's see who has the higher Uber score.
0:11We are back for the bathroom break. This is Jay Schwedelson from Do This Not That. I'm here with the Marky Millennial, the man, the myth, the legend, Daniel Murray. Before we get into some AI stuff, that's pretty cool. Daniel, I have a question for you. I've been taking a lot more Ubers lately. when I get in an Uber, I, shockingly, I don't like talking. Maybe I'm rude. Maybe I'm pretentious. I don't know what it is. I don't like talking to the dude or whatever. Are you all in on talking to the Uber dude or dudette? Like, what's your vibe? No, I absolutely don't like talking, but sometimes if I don't want them to get mad at me, I'll keep a conversation going even though I'm But the worst thing is when I'm in an Uber and they start talking and I'm with Ari in the Uber, Ari will not say a word.
0:59And I have to keep talking. I'm like, Ari, could you please add to this conversation? I don't want to keep going on. I don't want to do it. But I heard you like talking to Waymo drivers. Oh, I would talk to Waymo all day long because there's nobody in the car. But let me ask you another thing. So now you get in the Uber and let's say the Uber. I had this the other day. I got in the Uber and the guy, it was a guy. he had a lot of these aroma things in the car and the car smelled I thought it was gonna throw up so there was just too much of a smell in the car so I rolled down the windows both windows fully and the guy's like no no no no I want I'm gonna use air I go no I need the air from the windows it was so it was just not a good vibe do you think that that's on you think that's bad what I did or how do you feel about extreme smelly stuff no I'm on your side I've had this up where someone actually smelled like bo like they haven't they haven't showered for a week they've just been ubering and i i put the window down and they kept rolling it up and i kept and i was i was i was holding in a gag as bad so i am on your side of that the talking part it's like i'm not good at saying no talking um but i think that the hack is to put airpods in when you go in And that's what I do.
2:16I do that in like if I'm in conferences or anything, if I don't want to, I just act like I'm in the zone and don't talk. That's the move. The AirPods are the move. All right. So also we're going to get into the moves of AI. We're going to be talking about AI ingestion. I got a hot tip. I don't know if it's a hot tip. That's so cheesy. I just said that about what to do with AI that we're doing right now in my business. That's pretty cool. But Daniel, before I get into my hot tip, what's your hot tip? Man, this is embarrassing already. Well, I think there's so much data transcripts that you get from like virtual events, podcast events that you do that you want to chop up and make clips or you want to put them in as articles or newsletters or whatever you want to do with that.
3:06So what I like to do is ingest those podcast transcripts and then first ask it, like, act like a social expert that's an expert at short form video. And I insert the audience I'm trying to reach with this podcast and say, find me four or five or 10 or 15 clips that would be or quotes that would be relevant to that audience. And then I add like one layer in and say like, which one of these would be a great, think about it as like the first three seconds of this quote is a hook and think of, act like an expert hook writer for social and maybe insert some names of great people who do it. And find me the clips also with the best hook and where I should start these clips.
4:03and what it does is one you can find clips for social that's two one thing two you can find like hooks for articles you're writing subject lines for newsletters that you're writing about that event you could find so many things by that because you're gonna if you want to insert whatever though they're saying or the tips you could just ingest it and put it in there and then write something that will actually get your article opened your podcast listen to your clip actually watched past three seconds. So that's something I've been trying a lot at and it's been working pretty well for me. You know why that's so good?
4:40Because I spend time, I'll record a podcast episode with a guest and then I'll go back and I'll watch like, oh, this is the clip that we're going to use. But it takes me so long and it's so annoying. And half the time, I don't even know if that's the right clip or I just got lazy and didn't want to check out the rest of the episode. So I'm definitely going to use that. I'll tell you something that we're doing right now that has been really, really cool, which is this idea of ingestion, ingestion, ingestion, I don't know, of contact information. So we use Claude. We use Claude projects for this, but I'm sure you could use the other AI tools as well.
5:10But specifically for LinkedIn, people don't realize that you can go on LinkedIn, okay, I don't give you a 500 connections, 5 ,000, whatever. And you could output all of the data from your LinkedIn. You could output all of the connections you have, every DM and message that you sent with somebody, all the comments, everything. You can download this entire file. Okay. And then, and I'll tell you how to do it in a second. But what we're doing is we are like for my LinkedIn, we downloaded the entire, everything related to my LinkedIn, all my connections, comments, everything. We stick that into Claude.
5:46And we also stick in all the other information that we have from our CRM and all these other databases. And then we tell Claude, act as a chief revenue officer. And we say, we're promoting this product. It costs this, that, or whatever. It's good for this type of audience, this industry, whatever. Which of the contacts here are the ones that you should reach out to first? Rank them and tell us why, and also look at any publicly available information, not just what we gave you. It's also good if you're looking for a career opportunity. We always forget who we're connected to on LinkedIn, and bringing that into AI is so awesome.
6:18And all you've got to do, you can't do it on the mobile version. You've got to go on the desktop version of LinkedIn. You log in, and then you click on your profile picture. and after you do that, you go into what's called settings and privacy and then there's another thing that says data privacy. You click on that and you click get a copy of your data. Now what you want to do is when you get a copy of your data, you want to download what's called the larger data archive. If it doesn't have a button there that says something for connections, there's another button that says want something in particular.
6:48You click on that and then there is a button to check that you get the connection data and then it will email it to you and you get it all I am telling you it is a game changer and you should try it. And Daniel, what do you think about that? No, I think it's great because we forget how much data is sitting wherever in different places that are really walled gardens. Where like LinkedIn is one walled garden and then your email database is another walled garden and maybe another social site is another walled garden. And so we forget that we have all these different avenues where we can reach out to people.
7:26So I think that's great. I also want to add something that you said a lot of is some of the best things to do with like AI and Cloud is find like if you're doing a tool, like use their connections to connect your whatever your current tool set to Cloud right now. And if your tool doesn't allow that, you might should maybe consider looking for a new tool. Because we're getting to a point where if you aren't open source or don't have an API connection that is available for Cloud or for other AI platforms, you're going to fall behind. Because you can do so much when there's context. Like if they have context to a bunch of different sources, that's why I think yours is good.
8:15And I do want to add an extra layer. If you start connecting to other sources where you can put your gong data in, put this data in, and put that data in, the context window is way better when you can have multiple sources helping find and connecting the dots. So I would add an extra layer to that. All right, before we wrap up here, let's do something live right now. Let's see who has the higher Uber score. You know, the thing where the drivers rate you? I'm going on my Uber app right now. You're probably in the Uber app. Wait, we're doing this live right now. For those of you who don't know, you can go on Uber.
8:54You can click on your account button on the bottom right. In the upper left-hand corner, you have an Uber score. This is the rating that the driver gives you. So this is the rating of what they think of you as a passenger. I want to know who has a higher score. Me or Daniel? Daniel, I have my score. Do you have yours? Yeah, I want you to go first. My Uber score is 4.84. Oh, 4.85. No. But you know there's another tip that you could do too. What? If you go into Uber and you go into settings. Yeah. And you go to privacy. Okay. And then click see summary under like, would you like to see the summary of your data?
9:47You could go and then you go down to ratings, scroll down to ratings. You could see how many one star reviews you got, how many.
9:58That's amazing. Why do people hate me? Well, I have to try harder. That's what I've gotten out of all of this. Do you get how many one stars you have? Oh, I have 10 one stars. What do you have? 11 one stars. So you beat me at the one stars. Oh, my God. I've never seen this before. This is amazing. Yeah, you can see how many one star reviews you have. Well, we once again provide really valuable information. Everyone, go follow the blog. So now next time you can ingest your Uber data into Cod. All right, y 'all. We'll see you at the next one.
10:39Bye.
From the publisher
Your best content ideas and warmest leads are already sitting in data you forgot you had.
Jay and Daniel break down "AI ingestion": feeding transcripts, LinkedIn exports, and CRM data into tools like Claude so your AI actually knows your business and stays up-to-date.
Daniel shares his exact prompt for turning one podcast transcript into clips, hooks, and subject lines that get watched past three seconds. Jay reveals the LinkedIn data trick that exports every connection, DM, and comment, then ranks who to reach out to first. Plus why your tools need an API connection or you'll fall behind.
If you're a Marketer who wants to squeeze more content and more leads out of data you already own, this episode is for YOU.
Enjoying Bathroom Break? Follow the show and drop us a rating, it genuinely helps more Marketers find us. Now go follow The Marketing Millennials.
Daniel is a Workweek friend, working to produce amazing podcasts. To find out more, visit: https://workweek.com/
Follow Jay: LinkedIn: https://www.linkedin.com/in/schwedelson/ Podcast: Do This, Not That
Follow Daniel: YouTube: https://www.youtube.com/@themarketingmillennials/featured Twitter: https://www.twitter.com/Dmurr68 LinkedIn: https://www.linkedin.com/in/daniel-murray-marketing
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