WEBVTT 00:00:00.240 --> 00:00:06.300 Hey, everybody and welcome to a new type of episode. I'm trying called the Friday wrap-up on 00:00:06.640 --> 00:00:11.740 Streamline Solopreneur. A short episode where I talk about three things. What's on my mind this week? 00:00:11.980 --> 00:00:20.060 Recommended reading and recommended media. This show is designed to help you automate your business 00:00:20.180 --> 00:00:26.240 so you can take time off worry-free and hopefully this curation will help you think more about your 00:00:27.120 --> 00:00:29.980 systems. I'm your host, Joe Casabona. And here's what you're 00:00:30.000 --> 00:00:36.040 on my mind. First, I've been seeing more types of shows like this, and I've always liked the 00:00:36.280 --> 00:00:43.020 idea of a weekly news kind of based podcast. I wanted to start adding recommended reading 00:00:43.700 --> 00:00:51.280 to my full-length Monday episodes, but because of the way I batch them, most of the articles I 00:00:51.480 --> 00:00:59.960 recommend would be a month old by the time they come out. But by the time the episode comes out. So 00:00:59.980 --> 00:01:04.280 this, I'm calling it the Friday wrap-up. I'm thinking I would record it either Thursday 00:01:04.559 --> 00:01:09.980 evening or Friday morning. And it's just about some of the things that happened this week 00:01:10.180 --> 00:01:16.440 that I'm thinking about. So here's what's on my mind. The first is I had a pretty lively 00:01:16.780 --> 00:01:23.860 discussion in a community I'm a part of where someone shared their process for using AI 00:01:24.240 --> 00:01:29.940 agents to basically write long form articles for them. And it is the 00:01:29.960 --> 00:01:36.120 process is, you know, they train this skill or project or agent or whatever in Claude. 00:01:36.800 --> 00:01:46.320 And it comes up with ideas and then the person approves the ideas or provides feedback on the 00:01:46.540 --> 00:01:55.100 ideas. And anything that he approves, the large language model will write the first draft 00:01:56.320 --> 00:01:58.020 and then the person will provide feedback 00:01:59.260 --> 00:02:03.920 and the large language model will rewrite the first draft based on the feedback 00:02:04.950 --> 00:02:07.440 and from what this person says they'll go back and forth, 00:02:07.600 --> 00:02:13.880 it's based on voice notes and then the large language model will publish the article. 00:02:15.000 --> 00:02:15.640 And I said, 00:02:17.960 --> 00:02:21.260 at what point would you feel uncomfortable putting your name on this? 00:02:21.320 --> 00:02:23.040 And I feel really strongly about this. 00:02:23.100 --> 00:02:24.520 I'm actually working on a long form. 00:02:25.680 --> 00:02:31.500 episode, like a full episode about this idea and the negative ramifications of it. 00:02:32.530 --> 00:02:43.960 But I just, I feel like if no matter how well you train an AI or a large language model, 00:02:44.180 --> 00:02:50.260 right, a word calculator, if it's coming up with the ideas and writing all the words, 00:02:50.430 --> 00:02:52.340 it doesn't matter how much feedback you give it. 00:02:52.400 --> 00:02:53.600 You didn't come up with this. 00:02:54.580 --> 00:03:02.460 and I strongly feel like if you can't be bothered to sit down and write the messy first draft, 00:03:03.900 --> 00:03:06.720 then why should anybody be bothered to read it? 00:03:09.940 --> 00:03:14.180 It's a hill I'm willing to die on, I realized, this week. 00:03:16.180 --> 00:03:18.660 And that's the biggest thing that's on my mind. 00:03:18.780 --> 00:03:23.600 It's dominated the last couple of days of my thinking because I fear that we're going to 00:03:23.620 --> 00:03:30.440 to see more of this. And there are people who will say, well, I trained it to sound like me. And 00:03:30.470 --> 00:03:36.000 like, that's cool, but, you know, Jay Moore does a great impression of Christopher Walkin. That 00:03:36.200 --> 00:03:41.980 doesn't make Jay Moore Christopher Walken. And nobody would hire Jay Moore for a role that they want 00:03:42.440 --> 00:03:49.180 Christopher Walken for. Or they'll say, well, you know, Claude is a better writer than me anyway. 00:03:50.060 --> 00:03:58.880 And okay, I'm going to guess that's not true, but also you don't get better at something by not doing it. 00:04:00.100 --> 00:04:05.040 And so, like, what you're really saying in that instance is I don't care about getting better at writing. 00:04:05.280 --> 00:04:07.820 I just care about producing content. 00:04:09.160 --> 00:04:16.320 So I'll have more on this in a future long form episode, but that's, if you're wondering, if you listen to that and you're like, where did this come from? 00:04:16.579 --> 00:04:17.899 The nexus was from this week. 00:04:18.840 --> 00:04:25.500 Now, the second thing on my mind is I did upgrade to Claude Max over the last week, 00:04:25.500 --> 00:04:27.440 and so I've spent about a week using it. 00:04:28.700 --> 00:04:33.300 And I use it for computer-based problems. 00:04:34.080 --> 00:04:45.360 I use it to crunch data or review things I've written to see if it adheres to this criteria 00:04:45.640 --> 00:04:47.180 that I've set up for what I'm writing. 00:04:48.480 --> 00:04:52.820 I used it for a podcast SEO for this show. 00:04:53.600 --> 00:04:57.360 And the way I did that was I took Courtney Elmer's framework. 00:04:58.340 --> 00:05:03.380 I had it do deep research, a very specific prompt. 00:05:03.400 --> 00:05:08.200 And then I reviewed the 20 shows that it surfaced for me to make sure it was good. 00:05:08.260 --> 00:05:12.000 And I told it to throw out ones that were not good, find other ones. 00:05:12.740 --> 00:05:18.060 And then I uploaded two different sets of analytics for my show, one from my host and one from 00:05:18.599 --> 00:05:25.120 from a third party and I basically said crunch this data and give me your observations. 00:05:26.020 --> 00:05:29.360 And I also reviewed the data and made some observations. 00:05:30.560 --> 00:05:32.080 And it did an incredible job at that. 00:05:32.600 --> 00:05:34.520 And so now I have these 10 keywords. 00:05:35.460 --> 00:05:38.120 I wrote the description and a bunch of other stuff. 00:05:38.240 --> 00:05:44.960 And then I asked the AI like, hey, is this using the keywords without like stuffing them? 00:05:47.080 --> 00:05:50.960 and now I'll give it copy and I'll say like, hey, are there enough keywords here? 00:05:52.040 --> 00:05:55.180 Does it sound natural? Never make it sound unnatural. 00:05:55.920 --> 00:06:00.340 But the important part here is that I'm using it to analyze things I'm doing. 00:06:00.740 --> 00:06:02.620 I'm not having it do the things for me. 00:06:03.640 --> 00:06:09.600 But what's really impressive to me about Claude Max is obviously the co-work side of things. 00:06:11.080 --> 00:06:14.580 I've had it do a bunch of stuff like create skills. 00:06:16.620 --> 00:06:24.540 My son plays soccer and the calendar that they provide is not adjusted for time zone or daylight savings time, which is insane. 00:06:25.440 --> 00:06:38.120 So I had Claude update the calendar to include time zone and daylight savings time so that I have the accurate times on my calendar without having to go and look in the portal. 00:06:38.780 --> 00:06:44.720 Something I did this morning was the exact prompt. 00:06:45.300 --> 00:06:47.220 Oh, I did this on my other machine. 00:06:48.520 --> 00:06:52.000 But it was basically, I want you to find the Yankees schedule, 00:06:53.340 --> 00:06:57.940 create a calendar for me, a separate calendar that I can subscribe to, 00:06:58.500 --> 00:07:05.400 and then grab all the weekday afternoon games and put them on my main calendar 00:07:06.420 --> 00:07:10.780 so that people don't book meetings with me during game time. 00:07:12.140 --> 00:07:15.240 And it hit a little like sandbox snafu that I, 00:07:15.280 --> 00:07:22.520 had to fix, but it did it flawlessly. And again, I checked it. I looked at the Yankee schedule. I downloaded a 00:07:22.600 --> 00:07:30.440 CS, I downloaded a spreadsheet of all the Yankee games and I filtered by day and time. And it did it 00:07:30.740 --> 00:07:36.840 flawlessly. And so like that's really impressive. That saved me a ton of time having to look up the 00:07:36.900 --> 00:07:43.139 Yankee schedule and then manually add those games. So, and that's a very computer thing, right? Look at this 00:07:43.140 --> 00:07:50.100 data do other stuff. It's computer talking to computer. And so I'm excited to continue to use 00:07:50.540 --> 00:08:00.980 Claude. A lot of the tools I use have like an MCP. And I like that it can crunch data for me 00:08:01.820 --> 00:08:09.060 in the background while I can actually focus on the creative work, which is my whole goal for 00:08:09.060 --> 00:08:12.440 this podcast, right? Help you automate things that you don't have to do. 00:08:13.220 --> 00:08:17.760 so you can do the things that you have to do or want to do. 00:08:18.980 --> 00:08:19.960 So that's what's on my mind this week. 00:08:20.960 --> 00:08:22.880 Recommended reading, I have two articles. 00:08:23.760 --> 00:08:24.820 One is mine. 00:08:25.180 --> 00:08:26.620 Based on everything that's on my mind, 00:08:26.880 --> 00:08:28.360 I feel like I should mention. 00:08:28.820 --> 00:08:31.840 The three question test for using AI effectively, 00:08:33.860 --> 00:08:39.620 I basically go through why most people are using AI wrong. 00:08:40.700 --> 00:08:49.560 Because when the test is it's doing something so I don't have to, that's not the correct thing to test on. 00:08:50.640 --> 00:08:54.800 Because it doing something incorrectly doesn't help you achieve your goals. 00:08:56.040 --> 00:09:07.180 So speaking of this person at the top of the show, I'd love to know how many of those articles that he publishes actually help him. 00:09:07.900 --> 00:09:09.140 Whatever his goal is, 00:09:09.410 --> 00:09:09.860 what rank, 00:09:10.240 --> 00:09:10.400 you know, 00:09:10.480 --> 00:09:12.280 maybe rank in SEO is fine, 00:09:13.100 --> 00:09:14.860 but get people to join his mailing list, 00:09:15.020 --> 00:09:16.160 get people to hire him. 00:09:17.220 --> 00:09:18.520 What's the point of the writing? 00:09:19.800 --> 00:09:20.920 And if it's thought leadership, 00:09:21.220 --> 00:09:22.460 is it really thought leadership 00:09:22.700 --> 00:09:23.980 if you're not doing the thinking? 00:09:25.480 --> 00:09:27.540 So I have a three question test. 00:09:27.900 --> 00:09:29.780 I will link the article 00:09:30.740 --> 00:09:32.580 and everything I've mentioned here in the show notes. 00:09:34.200 --> 00:09:37.820 And then the second article is by Jason Snell 00:09:37.840 --> 00:09:44.160 colors. It's called rethinking RSS newsletters and how I read every morning. This really 00:09:44.400 --> 00:09:49.500 resonated with me. This was kind of the impetus for me starting this format episode. 00:09:50.720 --> 00:09:54.920 Because I constantly think of this. I've tried a bunch of RSS readers. I currently have 00:09:55.020 --> 00:10:02.760 Feedly and I don't really like it. It's like a fire hose. And so I've moved to FeedBin with an 00:10:02.660 --> 00:10:10.240 app called Current. Feed bin, like a killer feature for me is being able to forward newsletters 00:10:11.160 --> 00:10:16.720 to my RSS reader so that all of my reading is in one spot. And so I just think this is a really good 00:10:16.920 --> 00:10:22.180 article. Jason Snell obviously thinks about this stuff a lot. His process, I heard about Current here 00:10:22.330 --> 00:10:29.420 in this article. He doesn't use it. Spoiler alert, but I like that he thinks about this because I 00:10:29.740 --> 00:10:32.620 think about this a lot. Like what's the way for me to most effective? 00:10:32.640 --> 00:10:38.740 read and consume news in a way that's not overwhelming that doesn't feel like a to-do list. 00:10:38.980 --> 00:10:43.640 So really enjoyed that, rethinking RSS newsletters and how I read every morning by Jason 00:10:43.860 --> 00:10:44.779 Snell on Six Colors. 00:10:45.900 --> 00:10:49.140 And then the recommended media, this one really pushes all of my buttons. 00:10:49.620 --> 00:10:54.600 It's called, I made a network of every home run in MLB history. 00:10:55.560 --> 00:11:01.640 It is a YouTube video that visualizes every home run ever hit. 00:11:02.500 --> 00:11:07.680 And even if you are not into baseball, if you are into data and data visualization, 00:11:08.920 --> 00:11:12.560 this video is well worth the watch. 00:11:14.060 --> 00:11:19.820 I think it's so interesting his approach to how he did it and the kind of conclusions 00:11:20.460 --> 00:11:25.060 and like hidden history that he can find in this. 00:11:26.440 --> 00:11:28.360 and some of the 00:11:30.340 --> 00:11:31.020 some of the 00:11:31.880 --> 00:11:33.740 stories that are told with the data 00:11:33.950 --> 00:11:34.800 I really like. 00:11:35.760 --> 00:11:38.180 So I made a network of every home run in MLB history. 00:11:38.340 --> 00:11:39.020 It's over on YouTube. 00:11:39.280 --> 00:11:40.420 Again, I'll link it in the show notes here. 00:11:41.160 --> 00:11:43.140 But that's it for the Friday wrap-up. 00:11:43.760 --> 00:11:45.540 If you liked this episode, 00:11:46.960 --> 00:11:51.620 let me know by going to streamlinedfeedback.com. 00:11:52.640 --> 00:11:53.660 Because ultimately, 00:11:55.120 --> 00:12:02.920 The thing that will motivate me to keep doing these is if people are actually interested in them. 00:12:04.280 --> 00:12:14.620 And if you want to learn how to create time and space so you can actually focus on the work that matters, that is the main thing I do. 00:12:14.740 --> 00:12:16.620 It's the main thing I talk about on this show. 00:12:17.360 --> 00:12:19.080 You should check out the Solopreneur sweep. 00:12:19.280 --> 00:12:22.200 It's my process for understanding how you work. 00:12:22.880 --> 00:12:26.720 and you can get that over at streamlined.fm slash sweep. 00:12:27.600 --> 00:12:29.280 But that's it for the Friday wrap-up. 00:12:29.780 --> 00:12:31.100 Thanks so much for listening. 00:12:31.900 --> 00:12:35.900 And until next time, I hope you find some space in your weekend.