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Ep 212: Your Voice + Your Context – How To Scale A Content Engine With AI

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  • 21 Feb, 2024
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Scaling Your Content Engine with AI

In the fast-paced world of digital marketing, content generation has emerged as a potent tool for enhancing visibility and building trust with potential customers. Rather than pushing sales-heavy material, businesses can harness the power of engaging content to attract consumers towards their brand. Interactive mediums such as podcasts have emerged at the forefront, with the human voice strengthening authenticity and building connections with listeners.

A Focus on Context and Authenticity

Automating content creation through AI should not be about novelty but addressing real problems. Context, strategy, and authenticity are key elements in crafting successful AI generated content. Without these, businesses risk turning out low-quality content, which can lead to a decrease in trust from the consumers. It is crucial to rely on human curation when it comes to content creation, ensuring authenticity and maintaining the essence of the human touch.

The Role of AI in Problem Solving

AI is meant to be a tool for solving real problems rather than just a trend. It is essential to be intentional about how AI is used, especially in content creation. The content should remain authentic, relatable, and truthful to the audience. Over-reliance on AI-generated content without adequate human verification and control may lead to repetitional issues.

Automating Workflow with AI

Utilizing tools like Zapier for workflow automation and AI-powered platforms for post-production results into a streamline process. Importantly, it’s acknowledging that AI can handle specific conversations not related to media. Platforms enabling users to generate visual assets effectively based on transcript expedite the content production process.

Personalized Content Through AI

AI can play a significant role in delivering personalized content to different customer segments. By understanding context and leveraging AI algorithms to analyze vast amounts of data, businesses can tailor their content to suit the needs and preferences of their audience.

Scaling Written Content

Shifting away from traditional content creation methods, businesses can employ AI technologies to scale their written content. Nonetheless, content samples are imperative in maintaining humanity in content creation. Don’t forget the unique perspectives each content format can offer.

By addressing the challenges and capitalizing on the opportunities presented by AI, businesses can revolutionize the way they engage with their audience, marking a new age of automatized, personalized, and dynamic content creation. Strategic implementation of AI technology is undeniably the path forward.

Video Insights

Topics Covered in This Episode

1. Building a successful content engine with AI
2. About Blaine and Castmagic
3.  Leveraging AI in content creation
4. Castmagic’s functionality in content creation

Podcast Transcript

Jordan Wilson [00:00:16]:
I’d say one of the most underused aspects of generative AI is using it to take your voice and your style and create multiple pieces of content on the back end. And that’s what we’re gonna be talking about today on everyday AI. How you can use AI to really just create a content machine that just starts with nothing more than your voice. I’m excited to talk, with today’s guests. But before we do, welcome to everyone. Thank you for joining us. If you’re listening on the podcast, we appreciate your support. Make sure to check out the show notes, the episode description.

Jordan Wilson [00:00:58]:
We always have a lot of additional resources as well as how you can sign up for the newsletter for more information on today’s show. And if you’re joining us live, like, hey. Tara’s Tara’s beating everyone every single day. Tara, thanks for joining. If you if you’re joining us live, get your questions in. What do you wanna know about the best ways to use AI to repurpose your voice, your style? Thank you all for joining us. Chrissy, good morning to you as well. Before we get into that, as a reminder, if you are joining us live or on the livestream and if you aren’t listening yet or if you aren’t, subscribed to our newsletter, like, why not? Let me know.

Jordan Wilson [00:01:33]:
I always like hearing. But go to your everyday AI.com. It is a free generative AI university. I don’t there’s not a single source out there, not a single unbiased source that has more information on generative AI than we do. More than 200 podcasts you can go listen to, more than 200 newsletters. And you can also hey. If you wanna learn about entrepreneurship or startups or sales or whatever it is, we have it all categorized on our websites. Alright.

Jordan Wilson [00:01:58]:
But let’s go over what’s happening in the world of AI news. Alright. So Adobe is officially getting into the AI video space. Well, they kind of already are, but in a bigger way. So Adobe’s head of AI Research just announced on social media that they’re creating a new division called Kava. So this Adobe Research introduced the KVA team, which is the co creation for audio, video, and animation. So, reportedly, this is a team of 50 researchers focused on all aspects of video creation, including music, speech, and interaction design. So Adobe also yesterday just released an AI powered chatbot called their AI assistant that works inside of their Adobe Acrobat program, that allows you to chat with your documents of different file formats.

Jordan Wilson [00:02:46]:
Alright. It’s, hey. It’s it’s it’s all the big tech titans today making the news because Meta is also in the news showcasing some new AI powered devices and features. So BADA CEO Mark Zuckerberg announced the development of an AI powered wristband and AI embedded red band, Ray Ban glasses as part of their mission to democratize AI technology and enhance user experience. So the new wristband one, it’s really cool. We’ll, drop a link to it in the newsletter. You can see it. But the new, EMG, which is electromyography neural interface wristband, can track gesture controls through brainwaves.

Jordan Wilson [00:03:21]:
Yes. Potentially allowing for typing and controlling devices with just hand movements. So, yes, I believe the, the demo was them using this new EMG brain technology, wear it on your wrist. And, I think they were controlling the, new meta quest interface. But meta is focused on making this AI technology more accessible to the masses through these innovative products. It’s pretty cool to to watch if I’m being honest. Also, these wearable devices aim to capture neural activity and provide real time assistance, making learning and understanding, more familiar, with with your surroundings. Alright.

Jordan Wilson [00:03:57]:
Last but not least, we got big money big money here at the end. Anthropic is cashing even more big checks. This time after netting a large $750,000,000 investment. So, the latest fundraising round here came from Menlo Ventures. Endotrophic has raised a total of 7,300,000,000 with a b in investments, with big tech companies like Google, Amazon, into Asian telecom companies contributing as well. So part of their deal with Amazon, if you didn’t know this, pretty smart on an anthropic side. But part of the deal between Amazon and anthropic includes, allowing Anthropic to use a lot of cloud capacity from AWS, for AI training and inference. Alright.

Jordan Wilson [00:04:41]:
And as always, there’s always more. So make sure you go sign up for our newsletter at your everyday a i.com. We always have more news, more fresh finds from across the Internet, and more from our guests today. So, hey. Warning. All all the, you know, the the SAS founders and the GenAI companies that bug me, every day, don’t hey. I love hearing from you, but I don’t bring companies on, because I hear too many of them. But in this one’s different because I actually reached out to Blaine, our our guest for today.

Jordan Wilson [00:05:11]:
So I’ll tell you why, but first, let’s bring him on and bring him on to the stage. Alright. So there we go. Blaine Bolus is the cofounder of Castmagic. Blaine, thanks for joining the show.

Blaine Bolus [00:05:23]:
Jordan, what’s going on? Thanks for having me.

Jordan Wilson [00:05:25]:
Absolutely. So, Blaine, real quick, just tell us a little bit about what you do and and what Castmagic is, the company you cofounded.

Blaine Bolus [00:05:32]:
Sure. So I’m the cofounder of Castmagic, and we’re basically an all in one content workspace that uses your own media context. So things like it could be voice notes, media files, audio files, anything like that, and it uses it as context to write whatever sort of content that you’d like using AI.

Jordan Wilson [00:05:50]:
And I I I do have to get it out of the way. We are big Castmagic fans. I’ve talked about it on the show before maybe 2 or 3 times. It’s a tool that we use every single day. So, yes, I did ask Blaine. I’m like, you gotta come on the show, and we gotta talk about it because I think it’s actually a very powerful just just the concept of of, you know, using AI to take your voice, and and, you know, create a lot of content on the backside. But, Blaine, I’m curious. Like, what gave you the idea to to start Castmagic?

Blaine Bolus [00:06:21]:
Yeah. So basically, the way it started is kind of like you. I found myself in the podcasting space. I host a podcast called DTC pod. We have over 300 episodes, and one of the biggest challenges was we’d have all these great conversations with guests that were, you know, 30 minutes to an hour long, and then creating more either promotional content or even just, like, digestible content from that podcast was, like, really impossible. We would try to outsource it to agencies, and you’d have people, like, trying to, like, read through the transcripts and understand what was going on. And, like, the content that they were delivering out of it just, like, wasn’t really cutting it for our needs. So we saw AI coming along and said, hey.

Blaine Bolus [00:06:58]:
What if we could basically productize everything that, you know, we’re trying to outsource to agencies and people who aren’t quite cutting it? So, that was kind of the first version was, like, build a tool to, like, ingest our podcast, transcribe it, and take all of that context in that transcription and turn it into all the different content assets that we would need for every different social platform, the follow-up email to the guest, the notes for our website, like, all of those different content assets. Just do it instantly with AI. And then once we were able to do that, we’re like, wait a minute. If we can do this for, like, hour long podcast conversations, like, this type of, you know, functionality could really be applied to anything. Anything that involves audio, midi audio or media. So whether it’s your voice notes, whether it’s your meetings, whether it’s, you know, pulling videos from YouTube or Vimeo or Instagram or TikTok and using those as source context to build something else, like, it can all be done with that infrastructure. So that was kind of, like, the impetus. It started as, a podcast content creation tool, and then we’re like, wait a minute.

Blaine Bolus [00:08:01]:
We can kinda use this for everything that has to do with media.

Jordan Wilson [00:08:05]:
Absolutely. And, hey, if you are joining us live, I think this is a great opportunity to ask Blaine any question because I think there’s so many ways, that even non podcasters can and should be using AI to repurpose their their thoughts and their voices. But maybe let’s let’s start there, Blaine. So, you know, even if we just kind of rewind, from or, you know, zoom out from just cast magic. But, like, why should should even non podcasters be using AI, to to repurpose their own voice, their own thoughts, and and produce content? Why why can this be for even non podcasters?

Blaine Bolus [00:08:45]:
So I think content is really important. I think we’re kind of in this wave of explosion of people creating content. We saw it first, like, sort of happen in blogs and, like, short form bloggers on Instagram, and then now you started to see it on, like, LinkedIn and other platforms like that where everyone’s creating content. And why do people wanna create content? Because it grows your trust, which allows you to grow your business, whatever it is, whether you’re choosing to get massive scale and monetize just solely from your content and promotions that happen there. Or if you’re going a little bit more niche, it may be the perfect way to generate leads for whatever it is your business is. If you have a really high ticket business, I mean, a 100 views on the Internet could yield a couple conversions, and the beautiful thing about content is it lets people find you. So people just generally don’t love being sold to, like, hard and directly, but, like, people love finding things and discovering it. So a basic content when you put it out and you’re consistent about it, it turns what used to be, like, an outbound motion where you’re doing cold sales, and you’re reaching out, and you’re talking to people who don’t really wanna hear from you, and it turns that to an inbound motion.

Blaine Bolus [00:09:53]:
So we’re really big on content. I know you are on a whole bunch of other businesses are really growing and thriving through just creating content consistently, putting it out there, and growing your business. So that’s kind of the the why you should care about, creating content. And then the other thing I’d say for any sort of, professional is, like, kind of that challenge we were talking about before with the format of a podcast or a dialogue. There’s just so much information in there, and it’s like information dense, but, like, getting it in usable formats is isn’t always the easiest sort of thing. So, you know, we’ve seen use cases for, like, I I mean, sales teams at car dealerships or sales teams that are doing online selling. Like, anyone who’s having conversation or dialogue and trying to be like, wait a minute. What did we talk about there? I wanna extract that information, and I wanna use it in a useful way.

Blaine Bolus [00:10:43]:
And people are using Castmagic to to do that, which is cool.

Jordan Wilson [00:10:46]:
You know? And, a a comment coming in here from Ken just, you know, saying the human connection through the human voice. Blaine, can you can you talk a little bit about that and how, you know, these in you know, there’s so many. Don’t get me wrong. I love Castmagic. We’ve used a handful of them and a lot of different, you know, companies do this really well. But can you talk a little bit about the process of using your own voice, and and and what that opens up for creating more human sounding and more relational written content.

Blaine Bolus [00:11:17]:
Yeah. So I think the whole concept of human voice is amazing, and it’s something that kinda, like, blows my mind. You know, as a podcaster, podcasting is also such or streaming, anything. It’s there there’s such interesting mediums because when you’re doing it, you don’t really feel like anyone’s, like, listening. But then the people who are listening, it’s like they’re sitting in a room with you hearing you, like, ramble or go on for an hour. And and the voice, it’s like, you know, like, I don’t think humans were like, we didn’t we weren’t evolved to, like, expect to be hearing digital voices, like, in our heads from people. So when you have that just in terms of, like, the brand equity and awareness and the that level of trust that you get through the human voice, it’s a really big thing. Now moving to your 2nd point, which is about how do you use that context, to basically leverage that into other relatable mediums.

Blaine Bolus [00:12:20]:
Basically, one of the challenges of AI is getting it to, like, write like you, sound like you, and put out content assets the way you would have done if you had written them yourself. So the way we like to think of it is, like, there’s 3 keys to, like, building a successful content engine with AI to get it to, like, sound like you and do everything as if you were, like, a superhuman who had, like, all the time in the world to do this. And the first is context, so it needs unique information or data. And in that context, it’s the dialogues, conversations, videos, voice ramblings, whatever you’re feeding the AI, that is unique to you and only you. Like, AI is trained on the corpus of the Internet, but it’s not trained on what you’re thinking or saying right now in the moment. So context is number 1. Number 2 when it comes to content is is strategy. Right? Like, what is the right content strategy for your business, what channel do you wanna be on, how many times do you wanna post, what’s the concepts that you’re putting out.

Blaine Bolus [00:13:16]:
As a content creator, you need to go in with some level of strategy so you can build a system to to scale this. Right? And the 3rd part is kind of what we talked about. That’s authenticity and tone matching. So when you’re putting out content, if you’re just going into ChatGPT and you’re saying, write me a tweet thread about x y z topic, well, guess what? Like, thousands of other people have put that exam exact same prompt into ChatGPT and gotten the exact same, like, boring, like, platitude and all answer. So when you combine context with strategy and the ability to then match your own tone, voice, and style, now you can get content that, like, sounds a lot like you. It comes from your own context, and now you can, like, basically put a little polish on and push it out, and it helps you just gain a lot of leverage when it comes to creating content or, you know, being present on all the channels that you like to be a present on.

Jordan Wilson [00:14:10]:
Alright. I’ve I’ve I’ve got a hot take on this one, but I wanna hear from you. Is too much AI content right now a problem?

Blaine Bolus [00:14:20]:
Yes. So I think so. I think the biggest mistake people are making is putting out, like, too much crappy AI content. Right? I think, you know, people just go to ChatGPT, write something, and just copy paste. And I think if you’re doing that, I think, like, going back to what we talked about with authenticity, people trust people, and people don’t trust people where it’s like, that’s not you talking. Like, what are you doing? Right? So I think the key is, you know, if you’re gonna be using AI to, like, publish content, like, put your own spin on it. Give it a proofread. Make sure it’s something that you would actually write and press publish on.

Blaine Bolus [00:14:59]:
I think it’s a great accelerator for humans, but again, we’re the last level of curation, so we should be having a voice and a part in the content that’s being created other than lazily just creating the content and being like, okay. I’m pressing publish. Right?

Jordan Wilson [00:15:14]:
Yeah. Yeah. Any anytime I see someone send me something that has the word delve in there 3 times and, double double emojis on on everything, every single subhead. I’m like, alright. You could’ve could’ve at least done a little bit something here. So, I mean, I I I I also think about this a lot, Blaine, is is, you know, when I always encourage people. Right? Like, yeah. Use tools like Castmagic or, you know, you know, these different meeting tools, you know, MeetGeek or Fathom or Otter or whatever it is, right, to to do the same thing for your meetings.

Jordan Wilson [00:15:47]:
But then the downside is, yeah, like, when people don’t take the time and the care, to to bring their own voice, to whatever content that they’re creating on the back end. So, I’m sure that you’ve worked with with hundreds or thousands of of content creators. Maybe what are some of your even best tips, for people when they’re using AI to scale their written content? Aside from kind of what you said, you know, make sure it has that human touch. But is there any more insights that you can give us on how to really make it a a a connecting piece of content?

Blaine Bolus [00:16:21]:
Yeah. Definitely. So, this one was the biggest thing for us. I think what we found like like you said, we’ve worked with a bunch of creators right now, over 40,000 creators, to date and and only growing. And the biggest thing we’re starting to see was that people, like, you know, ChatChibi came out, and it was all about, like, the prompt and coming up with the most complex prompts, but great like, complex prompts don’t exactly always equal the output or, like, tone and voice and style that you might actually want. They may not sound like you. It was actually funny. We even did a thing where we tried to, like, reverse engineer, pieces that, you know, we were writing and being, like, chatty p t, describe the, like, the tone or, like, the style that, like, we’re writing in, we’d come up with all these, like, crazy adjectives.

Blaine Bolus [00:17:05]:
You’d plug those tone and adjectives black back into ChatGPT, and the results were, like, just weird. So so when it come for us at least, the way the the code that, like, I’ve sort of been able to crack with Castmagic and how it can handle writing for me is the just the use of content samples. So rather than overthinking on how am I gonna create the prompt and spend write an essay and spend more time writing instructions than I would spend writing the content. Right? All I’m gonna do is find a piece of content that I like that I’d like to emulate in terms of, like, my own voice and style. I’m gonna paste it in as a content sample, and then I’m just gonna describe that content sample. So basically in Castmagic, the whole notion of prompting becomes a lot easier because you’re not really thinking about, oh, let me come up with all the perfect instructions for the prompt. You’re just finding a piece of or style or format whether it’s a particular email format that you’ve written that you like, whether it’s particular style of show notes, whether it’s a particular style of blog writing or tweet thread or, like, or, like, note sort of follow-up. Anything that you want, you just paste it in as a content sample, and then AI can take that and basically emulate that tone style and format for you based off of whatever unique context, in this case, a conversation dialogue or media or video, you’re feeding it.

Jordan Wilson [00:18:25]:
Do you think that there’s kind of a a curve that we’re experiencing right now with AI content? Because I think, you know, even personally, you know, over the last, you know, year or so, I’ve seen people that maybe weren’t interested in producing written content, you know, flock to, you know, ChatGPT or now Gemini or and and, you know, everyone’s like, no. Okay. I can create decent content. Do you think that we’re gonna, continue to go on this kind of uphill climb, you know, even as tools such as Castmagic make it even easier, to to repurpose? Or do you think maybe that the the written, kind of content piece and we kind of hit the cap. Right? And maybe are we now gonna be seeing, you know, more people doing, you know, videos and and podcasts? Like, what are so what are your thoughts on kind of the future of content creation with great tools like Castmagic and others? And are we just gonna see more and more and more written content?

Blaine Bolus [00:19:21]:
I think we are gonna see more written content, but at the same time, I’ll say, I think content in general, like, there’s a power law to it. So when when you’re creating content, when everyone in the world is doing the same thing, like, if you’re just doing the same thing everyone else is doing, your content is gonna get drowned out. So, like, what really stands out is points point of views that are unique, point of views that are unique to you, and even style and formats. Like, I think with the reason we saw resurgence in tax was just the fact that, like, so much of our content consumption was, like, moving to, you know, like, short form video TikTok, Instagram photos, all of that, and people were like, wait a minute. Like, let’s create more text content, and and, like, so it it opened up an opportunity that but content in general, I think the best content creators are always kind of ahead of the curve and ahead of the masses, and that’s what makes them stand out. So I think at the end of the day, what you’re trying to do as a content creator is you wanna be able to stand out, and the way you stand out is you create content that’s unique to you and only you because you have a unique vantage point on things. And then the other thing is, it’s all once you’ve figured that out, then it’s about building a system and, you know, having a process to it. So it’s not just, oh, I created 1 great piece of content.

Blaine Bolus [00:20:36]:
You’re building, an entire operating system around your content.

Jordan Wilson [00:20:41]:
Yeah. I mean, speaking of that, it’s that’s literally what we do here at Everyday AI. So we we obviously have, you know, some tools that we use on the front end, some tools that we use at the back end, but Castmagic is a big part of our daily workflow. Right? So to create a daily, podcast and live stream and newsletter, it’s a lot. So, you know, I’m curious. You know, I’ve always had people to be like, oh, Jordan, tell me how you do this. Like, what tools you use. So maybe if you are, interested, maybe, yeah, maybe I’ll, do a behind the scenes on how we produce it, how we use Castmagic.

Jordan Wilson [00:21:11]:
So, you know, if if you’re live, maybe just, like, type in the word process or something like that. Maybe if enough people wanna see it, we’ll we’ll we’ll do a little something special. But, you know, Brian here even asking something similar. So Brian’s asking, you know, what are some of the automated flows that you use, Blaine, and how do you wrap AI into that? Yeah. I’m always I’m always curious how people either personally use their own products that they build or maybe, you know, some AI that you use maybe before or after Castmagic.

Blaine Bolus [00:21:39]:
Yeah. Absolutely. So I think, like we said, workflows are super important. So one way in which we do it is, like, we start with a podcast we record it. As soon as it gets recorded, we hook it up with Zapier. So as soon as as soon as that podcast is recorded, it’s automatically sucked into Castmagic. From there, Castmagic basically creates all the different content assets that we need from the show, so that includes our show notes. So when if you, like, go on our podcast and you see, like, the show notes, that’s that’s all written by, AI with our Polish, of course.

Blaine Bolus [00:22:09]:
It automatically writes our email follow-up to our guests. It automatically writes the 1st draft of our newsletter that we sent out, via email every week. It automatically writes out our, like, social posts and threads. So where we announce on LinkedIn, where we announce on Twitter, where we announce on all the different platforms. In each platform, we’ve tailored those posts to, like, match this tone and style of the form the of the platform. Right? So, like, content on Twitter, the way someone’s consuming it might be a little bit shorter than the post that you would do on LinkedIn. And on LinkedIn, you have to know that, you know, it’s like the first two lines that you’re gonna need to catch people’s attention, and they either expand it or they don’t. So we’re basically able to gear the social post to, be optimized for all the different platforms, but in terms of a workflow, that’s kinda how we do it.

Blaine Bolus [00:22:55]:
Automatically sucked in via Zapier. We’ve precreated all the different points of, like, our workflow that we need done, and then we’re automatically able to send it again via Zapier to all those different, end destinations that we’re posting and creating content to. So even, like, the email, all I do is in Castmagic. I hit, like, 1 button, and it automatically queues it up in my email draft, and then I can just send it out from there. So that’s kinda how we bring it into our workflow.

Jordan Wilson [00:23:21]:
Love it. Here’s here’s a kind of related question. You kinda got to this, but maybe if you can speak a little bit more specifically, Blaine. So Tara here is asking, how does the postproduction work after the recording is complete?

Blaine Bolus [00:23:34]:
So postproduction isn’t something that, like, we handle. Well, I guess there’s 2 ways to think of postproduction. Right? There’s postproduction in terms of what I just talked about on the content end, and there’s postproduction of, like, the media file itself where you’re, like, injecting your ad reads, and you’re, like, editing the audio. So, like, we don’t handle editing the audio or anything like that. We’re focused on extracting the context and turning that into the postproduction assets that, you’re talking about. So, yeah, that it’s basically happens kind of what we said. It’s all ingested into Castmagic. It’s all templated, so all of our content comes out exactly how we like it.

Blaine Bolus [00:24:09]:
And then our team’s able to go in and kind of directly edit in Castmagic, put the final touches on before we send it and publish to all the different platforms. So in terms of postproduction, it’s basically brought all of that workflow into 1 workspace to make it, like, really easy to edit. We’ve got team functionality and collaboration as well, so people can kinda get in there, and especially this is really helpful if you’ve got other people who are part of your content team, and there’s gonna be a lot we’re gonna be continuing to productize on that side as well as it relates to collaboration.

Jordan Wilson [00:24:41]:
Yeah. And, you you know, something I’m thinking about because I actually Blaine, I I brought up Castmagic yesterday. I I was talking to a very, you know, popular creator, here on LinkedIn, and, you know, he was kind of, you you know, walking me through a project that he he was working on. And I’m like, okay. Well, you know, have you tried a, you know, a program like Castmagic? And I, you know, named, you know, 1 or 2 others. And he’s like, no. I just kind of used, you know, ChatGPT for this. So can you walk through, walk people through, kind of the the the pros and the cons.

Jordan Wilson [00:25:12]:
Right? Because I think there are pros and cons to using a tool like Castmagic versus ChatGPT for something like the transcript. But, you know, maybe why might people, or could you walk us through situations where you might wanna use ChatGPT instead and then maybe walk us through situations where you would definitely wanna use Castmagic

Blaine Bolus [00:25:30]:
instead? Definitely. I think that’s such a good question, and I think people oftentimes think, oh, I can just get 1 AI, and I’m done. Right? Like but I don’t think that’s the case because I think it all comes down to how you solve the important problems and the important workflows that you’re dealing with. So personally, I use Costmagic all the time for, like, a big part of my workflow, and I also use ChatGPT because ChatGPT is very good at very specific things that, like, I need to do in different conversations or ChatGPTs that I’ve had set up, and Castmagic is really good. And the reason we built Castmagic in the 1st place is a couple different reasons. 1, when ChatGPT released, there was no transcription. Right? So you couldn’t just take a hour long audio or video file, drop it into ChatGPT. So we were able to handle we were able to solve for transcription with Castmagic.

Blaine Bolus [00:26:21]:
The second thing we’re able to do is start building out a media library. So oftentimes, you might wanna create a conversation or that or something that’s able to pull contacts from multiple different media files instead of 1. That’s not something you can do in Chat GbD, so that’s something we’re able to do in Castmagic where you’re able to build your whole library of content, it’s always gonna be there for you to create content from individual recordings or across multiple recordings. The other part is, like, a rich user experience. So we’ve productized the workflow layers for the team collaboration for, how you’re able to handle the transcripts, the types of file formats that are gonna be output, the experience of labeling the different speakers, and then templating all the different prompts that you’re gonna be creating with your workflow and hooking those into Zapier. So, like, these workflow things, like, this is why SaaS exists. Right? Like, you for specific workflows, there’s gonna be tools that are, like, really better. If you want to just work with the generic version for a ChatGPT, like, absolutely, I use ChatGPT.

Blaine Bolus [00:27:21]:
If I’m talking about something that’s not related to any of my context or my recordings, and I just want, like, a quick, like, you know, sanity check on something, I’m gonna use ChatGPT because I’m not trying to use it across my media library or use it on my voice recordings or anything like that. But if you need a purpose built tool to, like, help you create content based off your context and your media, then Castmagic is gonna be your bet for that.

Jordan Wilson [00:27:45]:
So, asking here another question, you know, if Castmagic plans to use video in the future for someone that has a video podcast.

Blaine Bolus [00:27:53]:
Yeah. Definitely. We we actually just released our 1st beta of our video product. So, well, currently, if you ingest video, like, you can see and you can clip out the the video right now based off transcript. So if there’s a portion that you’re like you know, one of the things we do in cast magic, we identify all the parts that would be, like, great clips or, like, you know, quotable sort of moments from the episode. And if you just go into the transcript, you highlight, like, whatever you wanna do, and you hit export as a clip. We’re also integrating, what’s called Castmagic Studio where you’re able to now turn different parts of your content into instantly into, like, you know, social media style, like, graphical cards, like, quote cards and stuff like that. So you might think of that, like, right now, your workflow might have to be like, oh, you have to export all your content, figure out what you wanna write, go over to Canva, like, build out your custom templates there, but now we we kind of, like, make it just one click directly from your transcript.

Blaine Bolus [00:28:48]:
You’re able to generate, visual sort of assets, and that’s gonna be everything from, you know, video clips to audiograms to social media cards to generative video. So, yeah, video is gonna be a big part of of what we do, and it all starts with having your own stuff and being able to kinda chop it up and repurpose however you’re gonna need it.

Jordan Wilson [00:29:08]:
Yeah. I mean, the repurposing is is so important in the speed and the flexibility’s amazing. Yeah. Yeah. Like I said, even full disclosure, me and me and Blaine are probably gonna talk for, you know, 2 or 3 minutes after this call. And, you know, Brandon from my team’s already gonna have all of this in cast magic by the time I hang up, and I can go in and work with it. Pretty amazing. So, yeah, if you do wanna see our process, if enough people wanna see, we’ll give you behind the scenes.

Jordan Wilson [00:29:32]:
Just maybe type in the comments here or email me process. But, Blaine Blaine, as we wrap up here, because we’ve talked about a lot. We’ve talked about how you can, you know, use AI to better understand context, how to bring your your your own tone and style, you know, into your written content ultimately. But maybe what’s your one biggest takeaway for people? You know? Even for maybe those who those of us who aren’t podcasters. Right? Like, what is the best way, that you can give us or the best piece of advice on how to use AI, to to properly, create content that reflects our own tone and style?

Blaine Bolus [00:30:06]:
Yeah. I think my biggest takeaway is AI. Like, use AI to, like, augment what you’re currently doing or tap into things that you’ve always wanted to do that have been, like, too much of an actual problem for you. So I would say, number 1, like, try things, but try things intentionally. Right? Like, there’s you you wanna use AI not just because, like, it’s cool and, like, there’s a bunch of, like, new tools coming out every single day, but you wanna use things that actually solve a problem and and have value for you. And then once you’re there, the my other takeaway is at the end of the day, you wanna stay authentic to yourself. So definitely leverage AI, but, like, make sure you’re putting your own polish on it and not just blindly posting because at the end of the day, authenticity with your audience does matter. And at the end of the day, you’re the one who’s curating what you’re publishing, what your relationship is with your audience, your community, etcetera.

Blaine Bolus [00:31:02]:
So that’s not something you wanna abuse and lose by just posting a bunch of content that says, you know, as we delve into our conversation today, which is clearly AI generated. So that’s, that’s my takeaway.

Jordan Wilson [00:31:14]:
The word delve. Poor delve. Delve is

Blaine Bolus [00:31:17]:
It’s ruined it

Jordan Wilson [00:31:17]:
for me. Over the last couple of months.

Blaine Bolus [00:31:19]:
It has. Cool. I think, actually actually, Jordan, the funny you say that. In in my cast magic instance, we have, like, an area where you can, like, give it context for, like, rules for things not to do, and I literally have, like, never used the word delve because I’m like I’m like, I’ve I know. It’s it’s the it’s the dead giveaway. Right?

Jordan Wilson [00:31:39]:
Alright. This was a great one. So thank you so much, Blaine, for joining the Everyday AI Show. We really appreciate your time.

Blaine Bolus [00:31:47]:
Cool. Thanks so much for having me on, Jordan. This is a blast.

Jordan Wilson [00:31:50]:
And, hey, as a reminder, everyone, we went over a lot. We’re gonna be sharing more even how we use Castmagic. We might give you a little bit of behind the scenes, but also, a lot more in today’s newsletter breaking down today’s conversation. If this if this was helpful, please consider reposting this, resharing this, and join us tomorrow. I’m excited for this one. We’re gonna be talking about, AI meets doctors turning health care from a service to a product with the CEO and founder of Forward. Pretty big health company out there. So thanks for joining us.

Jordan Wilson [00:32:19]:
Please go to your everyday Subscribe to that free daily newsletter. We’ll see you back tomorrow and every day for more everyday AI. Thanks, y’all.

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