Boost Your Productivity with AI Tools: A Deep Dive with Erik Fisher

You can find Erik Fisher at
Website: beyondthetodolist.com

Erik Fisher Podcast Transcription

[00:00:00] Kris Ward: Hey, everyone. Welcome to another episode of Win The Hour, Win The Day, and I am your host, Kris Ward. And today we have Erik Fisher in the house. He is the host and producer of “Beyond The To Do List.” It’s a great show. I’ve been on it myself and what a treat that was. Now today, Eric is going to talk to us about AI content creation tools, productivity tools, just a

[00:00:23] bunch of really cool stuff to get things done. Let’s dive into it right away. Welcome to the show, Erik.

[00:00:30] Erik Fisher: Thank you so much for having me. Glad to be here.

[00:00:33] Kris Ward: Okay. Ah, you could, there is not a rock big enough that you could be living under where you’d go. All right. AI has taken a sort of a surgence, really got a lot more traction in the last year.

[00:00:44] So we probably had it up to our eyebrows with chat GPT. But. And for many of us, it’s really easy to get seduced into thinking that’s where it all began. It didn’t. We just now all of a sudden start using the word AI. Whereas before, I think we were using tools and not really even understanding the capacity or that they were under this magnificent umbrella of AI. Artificial intelligence.

[00:01:07] Erik Fisher: Yeah, I think that, again, AI existed prior to this. I mean go as far back as I’ll go as far as back as 1991 where Terminator 2, the movie came out. . That’s where a lot of people think of, you know what people think of when they hear AI, they think Skynet.

[00:01:23] But obviously that was even part two. The first one came out in 1980s at some point. I don’t know which day. But anyway, yeah, but AI, as far as tools go, actually preceded ChatGPT. ChatGPT is a, is an LLM. It’s a language learning model. It’s a specific type of artificial intelligence. Heavy emphasis on the artificial because it’s not really intelligent.

[00:01:49] It’s not thinking for itself. It’s reactionary only, and it reacts to you and what you input into it. And it may have done a lot of learning. But it doesn’t know as much as us.

[00:02:00] Kris Ward: No, it doesn’t. Okay. So since we started there talking about chat, let’s talk about chat then. So one of the cool things we won’t get into the whole thing because we’ve talked about that in the show before is it’s really just as good as the commands you give it.

[00:02:13] And we’ve seen that on our own team. Maura has turned herself into a chat GPT engineer on my heavens, the stuff she can produce, but it is totally dependent on the structure and the prompts that she has set up. So it’s like anything in life, you’re the, you get the answers based on the good questions you ask.

[00:02:30] So for you, we’re going to talk about chatGPT and you’re saying now we can upload a PDF with Google plugins and tell me more about that. Where what do we, what should we know there?

[00:02:41] Erik Fisher: Yeah, so I’ve been using and I think I’m, so I’ve been using a plugin and what you do is you add it to it and you’ve got to be using a browser.

[00:02:50] Obviously you’ve got to be using chat GPT in a browser that allows this specific plugin. So I use Chrome for this one, but once I’ve added it, then I’m able to go to chat GPT and there’s a little upload button down at the bottom. And I click that and I select the PDF and then it opens that PDF and breaks it into piece by piece because it can’t do the whole thing all at once, but it’ll chunk it and it’ll do 30, 40, depending on how big the PDF is, it’ll chunk it and upload it bit by bit.

[00:03:22] And it’ll pre qualify and say, I’m about to upload, like it does its own prompting to itself or the plugin does the prompting and it’ll say, I’m about to upload a whole bunch of stuff.

[00:03:35] I’m summarizing here. So to make it super simple and easy,

[00:03:38] Kris Ward: technical term stuff. I got you. Remove all that.

[00:03:41] Erik Fisher: I’m about to upload a bunch of different stuff. Don’t do anything till I have uploaded the last piece. And then I tell you, and then you can ask me. What I want you to do with it. And so it’ll sit there, like it’ll upload the PDF.

[00:03:54] It’ll chunk it. It’ll go one of 22 of 23 of 20 and be and it’s just sitting there adding more information because there’s a, because there’s a character limit. Per prompt or per amount that you can drop in. So you can’t just, you can’t just open that PDF, select all and then paste it. Otherwise we wouldn’t be using this tool, but what this tool does is it chunks, it pulls it all in.

[00:04:18] Then at the end it says, okay, I’m done. Now ask me what you would like to about that document. And that GPT has read the entire document and has language learned what was in it and now I can ask it questions. So I’ve actually done this, like I’ve done this for, now this isn’t like something that I would be using as my soul or priority source per se, when it comes to a podcast interview, but somebody would send me a PDF of their book and I can ask that GPT after I’ve done this process.

[00:04:55] Please give me a, a summary better prompts than this, but I’m making it simple. Give me a summary of the whole book, then list off a bullet list of five to seven main points in a summary paragraph for each of the individual chapters so that I’ve got my bearings and then can jump in and start.

[00:05:17] So it gives you that like reader’s digest version of it that you can go through first and familiarize yourself and say, Oh, okay. I get it. And then deep dive in certain places or deep dive in certain chapters, if you want to.

[00:05:31] Kris Ward: So first of all, what’s the name of the extension or what do we need to the plugin?

[00:05:36] Erik Fisher: That’s a good question. I did not have this in my list.

[00:05:39] Kris Ward: No problem. So that’s okay. You don’t need to know. We’ll put it in the show notes. We will come back to that. You are now forced to do the show notes. So we’ll get the plugin. We’ll put those in the show notes. And so primarily you’re using this to summarize and break down big chunks of information.

[00:05:53] Erik Fisher: Correct.

[00:05:54] Kris Ward: Okay. Okay. And so other than digesting a book, can you think of other things that we could be using? Could this be something we take in competitor research? Let’s say we’re downloading somebody else’s PDF and we can break it down. Yeah. Is that okay?

[00:06:07] Erik Fisher: That’s exactly it. And you’ll see this coming up as a pattern. This is something you can do with another tool later, but not text based. Okay. So what happens is, yeah, you can say you’ve got all these different, um, you go to different people’s websites and they’ve got, here’s my freebie and you sign up for their list.

[00:06:24] You get it, the email, you download the PDF. You can now throw that PDF into this and it will synthesize it for you. If you don’t want to have to throw it on an iPad or sit there in front of a desktop and scroll through it, you can say, hey, summer summarize this. There’s lots of different. Anything that comes in and by the way, it doesn’t have to be just PDFs.

[00:06:45] It can be other documents as well. Okay. Primarily those that have text. If there’s a long contract. Again, I would not lean on it for legal advice. Yeah, legal advice. However, maybe to say, Hey, give me a summer, translate this. I would maybe do it just to again, first glance, first draft, first familiarizing, maybe, legal’s a touchy subject. So I shouldn’t have brought that up.

[00:07:13] Kris Ward: So really sometimes what it happened, allows us to do is say, okay, break this down. And then it gives us some clarity of where we want to do the deep dive. So it’s not going to be the end all because we are so many people, it’s a love or hate relationship with chat GPT.

[00:07:28] Cause you’re like, Oh, Garbage in, garbage out. You ask the question, then you get stuff back, and you’re like, that’s not what I wanted at all. But, you have to know when to lean on it. Sometimes I’ve come up with concepts, like saying, hey, we want to have the three pillars for whatever. And I’ve come up with two of the pillars, and I can’t, I want the third one to start with an M or something.

[00:07:45] And I’ll say, here’s what I have so far, can you come up with an idea. And the first couple times like, no, that’s too academic. That’s too this. But then my heavens, it’s a conversation and I’ll get something like, I wouldn’t have thought of that. I had the bulk of the idea. I was just looking to flush it out and brainstorm with someone.

[00:08:01] But like with another human, you have to say, no, you’re going down the wrong path. Here I am. But so many people just think it’s the gospel. AI means it’s the computer God and you throw something in, you’re like, this, it doesn’t work. No you do have to shape and converse it like anything else in life that we create, you have to massage it.

[00:08:19] Erik Fisher: Yeah, that’s exactly right. Again, this is not like I like to say is that AI is not the be all end all it is a jumping off point. It’s right. A it’s a help for the symptom of I’m stuck. It is or I’m stuck because I haven’t started or I’m stuck because I’ve got a certain way in and I’m hitting a wall.

[00:08:42] Yeah. And so it’s in, in what’s great is. Yeah. For some of us that are introverts, it’s a way for us to have some of that chat with a coworker without having to ring an actual coworker and say, can I run this by you? It’s Hey, I’m working on this. I’ve gotten this far. Like you said, I need one more word.

[00:09:01] I can’t think of an M word. What are some possible, and obviously doing good prompts would be, don’t just give me an M word, but give me multiple. Here’s the context, et cetera. Yeah.

[00:09:11] Kris Ward: Yeah, so it’s the whole concept. Yes, let’s say we’ll do lunch, but I really want to have done lunch.

[00:09:15] I don’t want to, I want to say we did it. I want to actually do it. Okay. Cast magic. Does that lead us into cast magic?

[00:09:22] Erik Fisher: Yeah, it can, because cast magic is light. This tool, but it is for all different types of media minus text. Actually, text is what you get when you add in the media. Okay. So what Cast Magic is, and I found out about this through a friend.

[00:09:39] He let me know and I, and it was while it was still on AppSumo, which was great. Cause I was able to get I was early in, so I got a really great deal on it. Okay. But so I am one of the 3, 500 people that are using it so far and I don’t know how many minutes of their 5 million minutes so far that number is probably so much higher now by the time people are listening to this in a little while, but cast magic is an AI tool and essentially it is meant to pull in audio or video content.

[00:10:11] Large or small and then 1st step is transcript. That’s always the 1st step, but then move beyond that and into all the cool things that you can then do and or work with that text. So it’s almost like creating a GPT on an individual or it’s also possible to do a macro level of it as well.

[00:10:36] Kris Ward: Okay. So break it down for me, for example, I know they gave the example of podcasts, which I don’t terribly love because not everybody has a podcast.

[00:10:43] So if we were taking what, if I was taking a training that I did for my clients, what, where would I go with that?

[00:10:51] Erik Fisher: So let me give you an example of what I did recently. So I was on a panel at a conference and there, I was leading it, but there were three other people and I recorded it. And so then I took that recording and fed it into cast magic then.

[00:11:08] So it processed the audio. It trend, it transcribed it, but then I identified. Our 4 speaker voices, not just speakers on the panel, but the 4 people that are speaking in that audio file. It can also do it if I had done a video file. And once I identified those, then I was able to say different things give me a summary and main points of all the takeaways from this panel.

[00:11:32] That’s the macro level, but I could drill down into give me all the take give me a bullet list of all the takeaways that Eric gave that Jeff gave that you gave that Katie gave. Okay. And break those out and have those differentiated and separated. You can also see. I could just as easily have done this with the recording of a meeting, whether it was video, or it was audio as well, like a zoom meeting or an in person conference meeting.

[00:12:00] It’s 1 of those things. So you can even do that with a client call. You could do this with client calls. And the great thing is that once you’ve got multiple so for example, say I’ve got a client call that’s ongoing, it’s every other week, and we’re going to work on a certain project, we’re going to meet every other week for six weeks.

[00:12:20] So three sessions, I upload all three of those sessions into cast magic. I identify my speakers. It’s done. It’s transcripting. I can work with each of those meetings, recordings individually, but say, I want to ask questions and or create slides, presentations, worksheets, et cetera from all three at once. You can do that. I can.

[00:12:45] Kris Ward: Okay. So can you then transform into other things? Because in my mind, I’m hearing a transcription where I can ask questions and get bullet points, right? Like a summary of it. But are you then saying it can also take that and turn it into other purposeful mediums?

[00:12:58] Erik Fisher: Not as of yet, but I’m sure they’re going that direction,

[00:13:01] Kris Ward: but you’re saying take the copy and then you can make it into a PDF or something. Is that what you mean?

[00:13:06] Erik Fisher: Exactly. Okay. Okay. Yeah. And there’s all different sorts of prompts that are already in there. Again, a lot of people that are using this are content creators. They’re creating things, whether they’re starting from something that they’ve made audio or video wise. Or something that they’ve been part of say I’m a guest say I’m a guest on a Greek podcast and I gave really great takeaways and I asked them for that recording or when it comes out, I just grab the file and drop it in here or add that RSS feed and select that show and it transcribes it.

[00:13:43] Then I’m able to start doing things with that. I say, okay, I was a guest on this, but you were, let’s talk, you were a guest on this podcast. And what’s great is you can have predetermined set up prompts ready for every file that comes in. Based on if it’s a show, if it’s what type of medium it is.

[00:14:02] Kris Ward: Okay, so you could say, when I’m doing a webinar, when I’m doing a podcast as a guest, blah, blah, blah, here’s, now I want you to follow this structure of prompts, because I’m going to be doing this all the time, so now I have the template for it.

[00:14:13] Erik Fisher: Exactly.

[00:14:14] Kris Ward: And so this saves us, it’s a one stop shop, because we could get our stuff transcribed and then just jump, dump it into ChatGPT, but this is saving us a step with CastMagic.

[00:14:25] Erik Fisher: That’s right, and it’s connected to ChatGPT, it’s using that.

[00:14:28] Kris Ward: Oh okay.

[00:14:28] Erik Fisher: Yeah mine currently is up to date to the current GPT 4.

[00:14:33] Okay. So it’s using the latest that’s available. Okay, so it would be redundant for me to copy and paste things over to chat GPT because why would I do that? But what’s great is again, I could say. Here, take, I can create what’s called a page, and I can say, select this, and this recording, and pull them all together into one page.

[00:14:59] Kris Ward: Okay, so now I’m getting it, because in my mind I’m thinking, alright, how much does this cost, and so then why wouldn’t we just get it transcribed, and dump it, because almost we got everything in it, almost everything now has a possibility to transcribe, like zoom everything. You can barely see a gosh darn thing anywhere.

[00:15:16] And it’s not transcribed. So I’m thinking why don’t we just take the transcription since we’re already dealing with chat and paying for it and dump it in there. But this allows us to, we could dump four or five audio files and maybe say, okay, here is Kris talking about how to get 25 hours back a week on five different podcasts appearances and pull the highlights out of that.

[00:15:36] And make a blog out of that kind of deal saying, all right, we talked about these three things similar on all shows, but we mentioned different things in different shows as well. Here’s your collection. So that way we’re just dumping audio files, pulling from different mediums and then deciding how little or much we want to make out of that.

[00:15:52] Erik Fisher: That’s exactly right. Okay. That’s a great synthesis. Yeah. Because if oh, I know I spoke on this topic on this, and this so four or five shows. Yeah, you then just pull those in and transcribe those and then pull them all into one. Again they call it a page and then you can start to ask the prompts and even pull in your existing prompts or community prompts.

[00:16:14] That’s the other cool thing is you can go and search for prompts that other people have used on the system and say, Ooh, I like this one. I like it, but I want to tweak it. And so you can copy and paste it and ask it yourself or add or subtract from it. I really love that aspect of it because I’ve actually found a few that do.

[00:16:33] Like you have really good prompt engineers that are using this thing. And I’m just, I’m, and I’m a prompt engineer learner. And so I’m jumping in. I’m thinking, Ooh, I like the way that they phrased that, because that is going to pull in more than I’m normally going to get with just my, write me some sample social media copy to promote this conversation with so and

[00:16:56] Kris Ward: okay, so that makes sense to me because I did see that I watched a, you sent me a link. So I watched a couple minutes of a little demo and they did show how quick and accessible it was to see other people’s prompts, which you don’t get from chat GPT. So what I’m trying to figure out is, Hey, as I talk to you, we don’t want to start doing death by a thousand paper cuts and say, all right, I’ve got 47 engineering chat things.

[00:17:19] And so why do I want to be going in here instead of just chat, right? GPT, which I still say we should petitioning my, can we not have a simpler name? Do we all have to say chat GPT? Can we just call it like, I don’t know, chair something, one word. Okay. So I was trying to figure out.

[00:17:37] How does this really pull itself away from chat, but even the engineering is something that would put it ahead of it as an opportunity because you’re not going to get that in chat GPT, right? And so then you can just see everybody’s there and go, Oh my gosh, instead of chasing a clipping here on TikTok or a clipping there that somebody says, Hey, this is the new thing.

[00:17:56] If you use this, so that in itself, I think makes it separates it from the pack.

[00:18:01] Erik Fisher: Yeah, it really does. I was thinking, okay, not, oh, great yet another AI tool, but once I got into it and then once I saw what it could do, and frankly, I’ve been in there since last summer. So it’s been 9 plus months and I’ve seen what they’ve done and added and grown and I also am in their their slack.

[00:18:24] Behind the scenes as a user and I can see some of the roadmap stuff of where they’re going and I can’t talk about it, but it is exciting to see that they’re adding more to it as a one stop shop for sure.

[00:18:35] Kris Ward: You’re all up in it. Okay. You’re on the grassroots. Okay. So then let’s talk about Descript. We use Descript and we’ve been using it for a long time.

[00:18:46] And I, my team uses it, but at a super high level, what I would say, some of the coolest things you can have is if you and I are talking and you perhaps say at the end of every sentence, you could with a quarter of a second, just right click and take one of those ummms at the top.

[00:19:02] Erik’s little, it will transcribe right away. And you click the and just say, if they remove all. So all the ums will come out, not just the transcript, but out of the audio. And I’m telling this to all of you as you drive and listen, and you want to get our show notes, Erik knows all this stuff, but the other thing I found incredibly fascinating is, and we don’t do this because boy, you can tell by listening to the show, we’re all about conversation.

[00:19:28] It’s not, we really want it to be as real and as flawed as it can be. And we really are good at the flawed. So we don’t go in and clean up a lot, but what you could do is if you really completely messed up something, you can actually change, I, it can change my sentence. I, it will not change the guest voice because that’s ethical and all that stuff.

[00:19:51] But I could go in and type words over in the transcription and they could actually using my voice recording. Change what I said. Which would be great if you record arguments at home, because then you could be saying, I didn’t say that. Look, so what’s new and coming? Cause I know you’re excited about the different things that they’re doing now.

[00:20:12] Erik Fisher: Yeah. And this is one of those cases, like you just said, where it’s but if we’re doing this and we’ve already got this and we’ve got this. Descript is one where I don’t necessarily use it for editing per se. One, I don’t edit my own show, but I will use this as a oh, by the way, Descript does tie into Cast Magic.

[00:20:31] You can actually if you decided to, if you’re already a Descript user, or if you are thinking about using Descript and then are thinking about using Cast Magic, you can be in Cast, you can have a preexisting, let me start over. You can say you threw an audio or video file into Descript and it transcribed it.

[00:20:50] And either you’ve finished editing it, or you haven’t yet edited it. You can go into Cast Magic, and then pull it in from Descript into Cast Magic, and it actually takes fewer of your transcription minutes in Cast Magic, because they have an agreement with Descript.

[00:21:09] Kris Ward: Oh, dear Lord. Okay. There’s this, I’m not good at this whole, somebody asked me in a podcast, which superhero I liked from the Marvel or DC camp.

[00:21:19] And I said, listen, I don’t know the difference. I would assume like they’re all superheroes. So this was what it feels like to me. Like all of a sudden we’re in this underground world that I don’t know anything about because they’re all interconnected in the subways where Batman lives or something. Okay.

[00:21:34] So Descript is embed with and connected to cast magic. Okay. So why now are you excited about the changes in Descript?

[00:21:43] Erik Fisher: Yeah. So Descript is, again, I don’t use it for editing. I have someone who edits my show, but I would use it for editing. I also would especially use it to make like clips out of things, but they’re adding in so much more like inside of Descript.

[00:21:59] It’s got, it’s a lot like Cast Magic now where you can start asking it things from what you have in there, whether you’ve edited it.

[00:22:09] Kris Ward: I don’t know. That’s a tricky one. I do that all the time. Yeah.

[00:22:11] Erik Fisher: Whether you’ve edited it or not. Yeah. Yeah. At any given point, you can jump in and you can start asking it to find best moments in your videos or your podcasts, which is also something Cast Magic can and will do.

[00:22:28] It can detect when you like, if you’re using it as a recording studio, which you can do it will detect when you’re doing retakes. Hence my example, I just did where I started over and it would have caught that and it would have said, oh, which one do you want to keep and which one do you want to remove. Their AI voices are getting better where you can

[00:22:49] have text that you type into Descript, and then have a computer voice, or I should say a computer voice that sounds like a human.

[00:23:00] Kris Ward: I did that like a fool. So what they do is they say, Hey, you can read this and then we have your voice and it’s a long thing. Like you read for 10 minutes and then they will say we will now save your voice and so they can use my voice in other videos for little shoot short videos on TikTok, whatever.

[00:23:16] So yeah. This is what happened. First of all, I did it twice. It did not work. They kept saying can you try it again? It’s 10 minutes of reading. And worse than that, may I rant for a moment? It was some horrible story about some animal in the jungle trying to escape another animal from the views of this animal.

[00:23:32] I’m like, In all the world, do you have anything else I could read? It was so depressing. It was like this cheetah’s last day. And it’s Oh my Lord, I can’t take this. So I could not do it a third time, but it was a while ago. I’m sure they improved it and I hope they pick happier reading, but okay.

[00:23:50] And I didn’t really think of that because my team goes through, they get the transcript from Descript and stuff, and then they go through and they highlight what would be what we think, they can tell by me talking, like when Kris says, Oh my gosh, that’s a great point. I never thought of that.

[00:24:02] Then they highlight that and they make that part of the show notes, but I guess. AI could start being, even in Descript can start be doing that for us as well.

[00:24:11] Erik Fisher: It could at least give you the starting point or pull out some highlights. Again, all of this is still, you want human involvement in it, but what it does is it calls things out, it can identify things that can be starting points for humans.

[00:24:26] Kris Ward: Okay, so what’s new? I don’t think I, I keep interrupting. What’s new with Descript that you’re excited about?

[00:24:32] Erik Fisher: So it can convert the, what it can do is since it’s working with the text of the audio or video recording again, pre or post edit, it can now convert those recordings into text summaries. It can do some of these.

[00:24:46] Since it’s already working with the text, it can summarize it for you. It can start to, since again, Descript is an editing platform and, I’m a podcaster slash whatever you want to call it. It can start to create show notes for you with chapters and time codes. Again, this is also stuff Cast Magic can do.

[00:25:04] What’s cool and new is it can start to generate descriptions and video chapters for YouTube videos. If you were going to. If you pulled in a video, if you, or you either pulled in a video you pre recorded, or you recorded a video inside of Descript, because it does work as a studio.

[00:25:20] Kris Ward: So I can put this video from this conversation in there and then ask it to pull out, give me sections for YouTube shorts.

[00:25:26] Erik Fisher: That’s exactly right.

[00:25:27] Kris Ward: Okay. I didn’t know that.

[00:25:29] Erik Fisher: And then since it has the text, it can then even pull that text over and have the air quotes burned in captions right there on the screen. Like those shorts often have.

[00:25:41] Kris Ward: Okay. Oh my gosh. So really we’re in the Everything, sometimes now I find that I sound like I’m 105 years old, but it’s almost like too much technology where everything you log into, I think we’re all trying to compete against chat GPT.

[00:25:58] So it’s I didn’t need you to summarize that. It’s every thing you touch if there’s any interface with it at all, it wants to show you like, Hey, I can transcribe this for you. And it’s I am just trying to text my mother. I’ll be late for dinner. Let’s go on. Let’s get this done.

[00:26:14] But I think all these platforms too, they’re all starting with. I guess the name of the game is, yes, we will give you transcription and then what we do with it is then going to be the specialty of why we go to these different platforms. They’re all going to transcribe for us, but it’s what we put in to get the transcription and what it gives us out and how it turns that transcription into something is almost like cooking. It’s like, all right, I have a tomato. I can make a tomato sandwich or I can make a pasta. It’s still the same tomato. So we’re going to get all different recipes from these different AIs. And we just have to be mindful not to dismiss them because yeah, they all do transcriptions, but what do they do with that?

[00:26:52] Erik Fisher: That’s exactly right. Yeah. And I would even say it’s as, as broad as remember, there was a point in time where we didn’t have pinch to zoom technology. And now we take it. We don’t even think about it. It doesn’t register in our brains as a thing. It’s just there. And so that’s it’s it again, because language learning model LLM is what a lot of people are thinking AI is when. Yeah. It is and it isn’t, but that’s what it’s, it’s learning from text and to have the text, it has to transcribe and the accuracy of the transcription was what kind of held all this back for a long time. But as of what was it, 16, 17, 17, 18. Somewhere in there were tools like Otter AI and a few others.

[00:27:39] Yeah. Yeah. That popped up. Started to be really good. Even going back as far as Dragon speak I think was one. Oh, yes. Remember those?

[00:27:46] Kris Ward: Yeah. So back in 18 hundreds. Yes.

[00:27:48] Erik Fisher: Early days. Those were early days and it was hearing you and it was translating. The, it could identify what you were saying and it could, again, I use that all the time on my phone and I take it for granted where I tap the microphone and just say, Oh, I text my mom and it’s all day long. I type nothing. It’s all audio for sure.

[00:28:05] And it’s incredibly accurate at this point, like 90 plus percent accurate. Yeah. Now it’s just the backend of it is able to say, Oh, I understand to a degree what the language is saying and indicating here through this text. But that’s still limited. And that’s the part that’s going to continue to grow as it continues to be able to connect this chunk of text to this chunk of text to this chunk of text.

[00:28:32] Kind of like I was talking in cast magic. It’s okay, I transcribed 50 different episodes of 50 different things or 50 different pieces of audio or video content, but it’s all siloed. Right magic again, going back to cast magic, it allows you to select different ones and pull those all together and then work with that all in one piece on a macro level.

[00:28:53] And that’s what gets exciting. Yeah, the ubiquity of text and what it can do is really the game at this point.

[00:29:00] Kris Ward: So a couple of my shows, which seem to do really is what I would do is because what we do is we help entrepreneurs get out of their own way. And they all tell me they get 25 hours back a week within the first month of working with us.

[00:29:11] And so in my show here. I’m talking like yourself, anything from sales to social media. And yet I go off on other people’s shows and talk about what I do all week. And so what we did is a couple of shows we had, I took clippings from other shows and half interviewed myself like, Oh my gosh, there’s an Erik show.

[00:29:25] He asked a really good question. And then we’d have the audio from your show because. It’s far more dynamic than me railing on talking to myself. There’s just not the same energy and you go off in different tangents. But I did have to go through all those shows and find those clippings and say, Oh, this is a good question.

[00:29:41] That’s a good question. Let’s put it together. I could now then have in injected five or six episodes and say, pull out the different questions. Cause there will definitely be questions that are repeated, pull out the different ones. And that would have saved me time instead of me combing it myself.

[00:29:57] Erik Fisher: Yeah. You would just simply ask it. You’d pull it all together in one place. Yeah. You would then say, Kris was asked a number of different questions. Please give me a list of all those different questions. Yeah. Here in one place. And then you can comb through them and say, Okay, I like this one.

[00:30:16] Then you can go and say, Please give me a summary of the answer Kris gave to this question when she was asked it and or to these questions, what you do is delete the bad ones, pull the good ones in, then create a new prompt with just those questions, ask it for the literal answer and then a summarized answer for each of those five, seven questions or something, and it can do it, which is insane to me that we’re at that point.

[00:30:41] Kris Ward: Sounds like fun. All right, Erik, where can we find more of your brilliance?

[00:30:46] Erik Fisher: I hope over on beyondthetodolist.com. That is my ongoing podcast where I talk with productivity experts as I try to become one myself, it’s all about, do it’s about more than just doing more or coping with the business of life. It’s about the true meaning of productivity, living a more meaningful life.

[00:31:08] Kris Ward: Yeah. I still agree. All right. Everyone share this with a business buddy. Don’t let them suffer by themselves. They’re not going to know all this stuff because you don’t know what you don’t know.

[00:31:15] And as like we talked about during this show, the prompts are everything. So the questions you ask give you certain answers. I certainly wouldn’t have asked these questions without Eric bringing them to my attention. So make sure you share this with someone and we love your reviews. I read each and every one of them.

[00:31:31] Thank you so very much. And we will see you in the next episode. Thank you again, Erik.

[00:31:37] Erik Fisher: You’re welcome. Thanks for having me.