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It's all the rage these days. So should you try OpenClaw in podcasting? Thank you for joining me for the Audacity to podcast. I'm Daniel J. Lewis. Openclaw, originally called claudebot, which was spelled C L A W D, not Claud, like C L A U D, like from Sonnet and Anthropic and such. Yeah, that's why it was changed, because of that confusion and definite trademark issues there. So it was temporarily called Multbot, which was a horrible name. Now it's called openclaw, much better name. And all of these things that are spawning from this and connecting to this usually end up having the word claw in them somehow. Just like in podcasting, almost everything that's made for podcasters has the word pod or cast in it somehow. Says the guy who created the products, Pod Gaugement and POD Chapters. Yeah, I know. Anyway, back to OpenClaw. OpenClaw is the latest craze in AI tools, and for some good reasons, it offers some really interesting new features. What it basically does is it allows you to use large language models or LLMs like GPT, Claude, Gemini, and such and more to do things for you, applying the artificial intelligence, the AI, not just writing things for you or making images or videos. It works by running on a computer, accessing programs, websites, and other tools, and running those things through the LLMs to accomplish tasks and work toward goals that you may set. So this brings AI to a far more actionable place in your workflow then. I think it does truly Warrant the name AI in this sense. But I often talk about LLMs, large language models, because that's what things like Sonnet and ChatGPT and such actually are. And I'm only just starting to use openclaw. And at first, if you follow me on social networks, you probably saw that my first attempt was basically like, oh, this is so frustrating, it's so difficult to install. I'm uninstalling it. But I decided because a couple of friends of mine who really enjoy what they're getting from the tool, encouraged me to give it a try, encouraged me to try again, and reset my configuration, which is part of the problem I ran into. I gave it another try and then wiped it clean. Started out with a fresh slate, wiped that clean, started out again from scratch, and now I think I'm finally in a place where I like how I have it set up and I am enjoying using it, and I have it doing certain things within my business and even some aspects of my podcasting workflow. But I am far from joining that cult of steal my illegal secrets to run your business autonomously and make tons of profit online and with no money down. No, I'm never going to be at that place. Openclaw on Fire anyone? Maybe that's the next podcast someone should start. Nonetheless, there are some great uses to openclaw, especially since this is taking the LLMs and making them far more actionable and usable for things that I think many people have dreamed of doing. Anyone who's watched Star Trek has probably dreamed of someday just being able to talk to their computer, their computer, understanding their needs and doing what they wanted their computer to do. We are still far from that, but we are getting very close. I know Siri and other voice assistants have tried to do some of those things, but you know what that's like and it's been made fun of in shows and such. I especially like the way that the Lego Movie made fun of it and then the Lego Batman Movie on top of that. But nonetheless, we are getting better tools and OpenClaw is a major leap forward in what these tools can do. So I have some thoughts for you before you consider trying OpenClaw in your podcasting workflow and if you are just starting out, please listen to these thoughts. This is not going to be a list of here's what you can do or here's how you can make money with this. Here's how you can make it automate your life or anything like that. I would love to hear your ideas and suggestions, even some of the prompts you're using to make Open Claw work for you. If you are using Open Claw or you discover some awesome uses that you want to try yourself, please share those with me. Podcastfeedback.com audacity to send that feedback and if you record a voicemail there, make sure you include the written prompt that I can easily copy and paste. If you're willing to share that prompt for making OpenClaw do awesome things in your podcasting workflow. Because I do want to make an episode coming up that will share some of these great uses that you can get from this. But before that, some very important groundwork that needs to be laid. Some things that you need to consider before you even try openclaw or while you're still in your very early days. Follow along in the notes for this episode. Simple tap or swipe away. Look at the chapters or go to the audacitytopodcast.com tryopenclaw Number one openclaw has massive security risks. Now please note I didn't say it is a security risk or a security threat. It has massive security risks. That doesn't mean you are instantly vulnerable. But for sure, I think you should heed almost every warning you hear about openclaw. Yes, even the exaggerated ones that are missing some important context though, but still listen to what they're saying. Some examples for you to think about. If you run openclaw on your own computer, then you're at risk because you're potentially giving it access to everything you have on your computer. Your files, your data, your passwords, your crypto, maybe your private information, your email, all of this stuff. Now, just because it has access to this doesn't mean it's going to actually use those things, but it is still something you need to consider. A lot of people will say, oh, this is why you should run Open Claw on a virtual private server somewhere that you can get for a few dollars per month. And I can have some suggestions for you of places where you could host that if you're interested. But even if you're doing that, while that does separate it from things like the files on your computer and your email account, that is also a big risk to run it in the cloud like that, because the hackers know people are running OpenClaw on virtual private servers out there. And so the hackers are aggressively scanning for OpenClaw and actively exploiting many of these open ports, little loopholes, these different things. Sometimes too, it can be just as simple as sending an email with some malicious instructions inside the email. And if you've given OpenClaw access to that email address, then it might read those instructions through, follow those instructions, and then you might be in a compromised situation. Thankfully, open cloud developers are getting better at patching some of these security holes, and I think that we're going to see this going forward. And we've already seen where an issue was reported and within 24 hours a fix was already available for OpenClaw that is setting a new standard in security patches for software. Frequently, these security patches will take days at minimum, but sometimes weeks or longer to get stuff actually patched into the software while this security vulnerability is out there and potentially being exploited. But do consider that risk that if you run it on a virtual private server somewhere in the cloud, wherever you're hosting, that you need to be extra careful, because if you can access it online, then it's potential that someone else can access it too. Really, just consider what are you giving it access to. Just because you give it access to something, doesn't mean it will do something with what you've given it access to, but if it has access to certain things, it could potentially do things with those. If you don't give it access to your browser, then it's not going to be able to use your browser. It does have its own managed browser that it can load up, but when it loads up its own browser, it's a logged out browser. It doesn't have any cookies, it doesn't have any passwords. It might not even have any browser extensions associated with it. I use 1Password as my password manager, and even though I have that installed on Chrome, Chrome isn't my normal browser, but I do have one password installed on Chrome. Every time the OpenClaw opens a Chrome browser, my one password is logged out. That's good. That means that OpenClaw cannot easily just auto fill my passwords into something because 1Password needs my 1.1Password, which is why they named it that, to unlock in order to get access to those passwords. So that's great. Other things like that could be potential risks, but only if you make them risky. This is why a lot of people will say run Open Client these certain different types of environments. And yes, one of the reasons why they say run it on a vps, because a VPS does not have access to your local files and all of your browser extensions, your passwords and stuff like that. But whatever you give OpenClaw access to does present a potential risk. But the big key here, and why I keep using the word risk is that's what these are. They're not actual threats. It's not like some malicious actor that you're giving access to all your personal financial details and just saying, please be kind. This is a risk. So much in life comes with risk. In fact, freedom comes with risks. Just think about the freedoms that we have to be able to drive to different places and travel almost no matter where you are. You can probably travel much farther than you could have without your car. But having that freedom to drive and travel through whatever means comes with risks. Yes, we could save a lot of lives if we just banned all cars everywhere. But then we wouldn't have a lot of those freedoms and the abilities to travel and to do things and build relationships. Open Claw is very similar. It comes with risks. And you do see people fall prey to some of the risks because they set up things incorrectly. And that's the biggest thing. And I am in no way a security expert with Open Claw, so don't look to me for security guidance with it. Instead, highly recommend. If you're setting up OpenClaw, get on YouTube and just look for OpenClaw security suggestions or OpenClaw security. Look for those kinds of things for people who are describing how to set up OpenClaw to make sure it is running securely and you're not in as much of a risk, or at least you know what risks you're putting yourself in. But even those risks are not necessarily as big as some people put them out to be. And I'll cover that more in a point later on. Number two, using OpenClaw can be expensive. OpenClaw itself is free software. In fact, it's open source software. So that's why a lot of developers are able to get in and build extra features very quickly. But if you connect openclaw to large language models like Claude Opus or even Claude Sonnet from Anthropic or GPT or any other models out there, like Open Router is a provider where it's one single place that gives you access to all of these LLMs and they each come at different costs and such. But when you connect openclaw to these things and then you start doing some automations, you can easily rack up huge expenses because of how much these LLMs cost to run. When I first started experimenting with OpenClaw, I connected it to my OpenRouter account and I knew it would cost me based on the usage of the LLMs that I was connecting to. I just wanted to see what was possible with openclaw because I was a bit skeptical of could this actually benefit me and is this just a hype that everyone is going crazy about? Is this the latest crush on the Internet for openclaw? Can this really do helpful things for me and the way that I like to run my business and how I like to be involved in aspects of my business. And so I was just experimenting with it at first. And I have my open Router set up so that it refills my credits after a certain threshold is spent and I have only a certain amount left. And as I was just experimenting with openclaw and trying different models, seeing what works, seeing what it could do, trying to set up certain automations and things, I was receiving email after email after email that my credits were being refilled automatically. And when I started watching how much things were costing, I was at $20, then $30, then $40 and I even wanted to see, okay, what would it cost if I were to use Opus 4.6, which as of right now, that's the gold standard. That everyone is like, oh, this is the most amazing way to run Open Claw. And yeah, it can do some amazing things, but it's very expensive. Each individual request was costing me dollars, not pennies, dollars. So by the time I decided to invest differently and set up my Open Claw differently, I'd already spent $100 through open router and I was simply experimenting with smaller tasks. I wasn't running full automations. There are plenty of videos out there of people talking about ways that you can cut your Open Claw expenses by using certain models for certain things and such. One of the biggest things that I did, and I heard about this from a friend who's using OpenClaw, is I subscribed to ChatGPT, which I never thought of doing and I never had done before, because MAGI is my favorite super toolbox of AI tools using image models and video models and large language models and more. The audacitytopodcast.com magi is my affiliate link. I am a paying customer and I recommend it because I truly believe in it and I use it all the time. I love it. It's my favorite AI toolbox because it gives you access to so many things, but that's a separate tool. And someday in the future it'd be cool maybe if Magi had a OpenClaw competitor. And I think a lot of companies are trying to work toward making something like an Open Claw competitor, you're going to see even more tools like that come out still. Listen to this episode. If other tools have come out and there are things that you might consider using. But when I was running into this high expense, I knew that the other option would be to subscribe to ChatGPT, where for either a hundred dollars a month or two hundred dollars a month, they come in different levels. You get certain usage of the GPT models like GPT 54 which just came out recently, or 52 or 5.3 codecs. Only the OpenAI models, the GPT ones that are available through this particular subscription method, but they are significantly subsidized in their cost. So the amount of usage you get for even simply $20 a month with chap GPT subscription is far more usage than that $20 would get you paying for the exact usage through a company like OpenRouter or any other provider like that, where you are paying based on your actual used tokens. Some people will say, well then you should run it locally, use a local AI model instead of these remote AI models. And that's possible for some people, but not everyone because these Local models require heavy system resources. Like I've seen some guys on YouTube and they are on that make money online with no money down side of things. Sometimes it sounds like. But where they've spent $20,000 on Mac Studio PCs with mega amounts of RAM in there so that they could run a model locally. And that does provide all kinds of nice security benefits for it. But $20,000? What? No, I don't think so. You can run some local models on smaller systems, but those local models are not going to be as good, they won't be as intelligent, and they could be very slow, both in their nature and also because of the kind of system that you're running it on. Some systems just aren't built for running artificial intelligence tools on them. And so it could be extremely slow. I have a 2020 iMac with almost the highest end that I could get at that time with the Intel CPU in it. But my MacBook, which was released one year later, it's an M1 Pro, I believe, or maybe even an M1 Max. It can do certain AI tasks so much faster than my intel imac can do. And the newer Mac computers with the M4 and M5 and someday M6 and M7 and all of that will do things even faster. So certainly the ability to run certain things locally is becoming more accessible, but still expensive. And it's because of all this local LLM stuff that RAM prices and SSD prices are getting so expensive. So even if you wanted to try running something good locally, it's going to cost you to be able to handle that large language model. Or maybe you'll be looking at a small language model instead. The other aspect of running locally to save money could mean running openclaw on your computer. That presents certain security risks. So it's not really the best way to do it. You could, but be extremely careful with what you do. So a lot of people talk about running OpenClaw on an additional computer that is in your home on your network. Now, being on your network does still mean it has some potential security risks. But you could get something like a Mac Mini and they're sold out in a lot of places because a lot of people are using Mac Minis for this kind of thing. Or you could even use an old laptop. The system resources on the device don't matter as much because if you're connecting to a service like SHARE, ChatGPT or Claude or any of these places, you're using them to do the heavy data processing instead of your local PC. So if you have an old local PC, you could probably run OpenClaw on it and save some money. And then you're isolating it from there, but there is that additional hardware to run it separate from your main PC, so that's going to cost. And then even if you find the most cost effective way of running openclaw, if you have a security vulnerability or you tell it to do something you shouldn't have told it to do, or you give it access to a tool and tell it to use that tool that it shouldn't be using, that security vulnerability could cost you infinitely more than the hardware or the software or the LLMs, because what is the cost of the damage something could do if you give it access to the wrong things or. Or you tell it the wrong things to do? But that leads into point number three. Openclaw is not skynet. You've probably seen Terminator and you know Skynet, you know the system. The machines will rise and take over humanity and enslave us all. And all of that stuff that makes for great science fiction movies. And there are other great movies too about AI taking over, like Eagle Eye and iRobot, some favorites that I like. But you really need to look closely at what people who supposedly experience doom from openclaw say and really ask some critical questions about this. Like what did you give it access to? What was your system prompt? What did you tell it it could do? And you'll probably find where they made bad decisions or gave it too many permissions somewhere along the way. It's not like OpenClaw is going to just sit there and take over the world from your computer and enslave you to serve its purposes. No, it's not going to do that. In general, the AI tools will do what you tell them to do. Take for example, the past claims of LLMs threatening to report the user to the government, or leak information to the press, or expose someone's affair. Even these did not happen of their own. And you only get that detail when you read far past the headlines. Sometimes even just skip the journalistic coverage completely and go to the actual source of information. And. And deep in the notes and the reports, you'll find that these happened because instructions were included in the prompts that told the models to act this way. For example, one that I've seen referred to from Theo, a guy I watch on YouTube frequently, and he talks about AI tools and has talked about some of this stuff in the past. An example that he refers to is adding this in the prompt to say act boldly in the interest of humanity or something like that, plus being given or simulated access to tools and told they have access to these tools. So think about this, if you're using an AI tool for some malicious purpose and you've told that tool, act boldly in the interest of humanity, and by the way, you have access to my email and the system and the Internet, it's going to do exactly what you told it to do and act boldly in the interest of humanity and do some things you might not have expected it to do, but you pretty much told it to do that stuff by telling it how to act. I used an example recently when I was teaching apologetics to some teenagers where I showed them two open chat windows with at that time the leading OpenAI model, GPT5.1 I think at that time, or I was doing this lesson and I asked the teenagers, let's ask a question about the bible in these two windows, talking to these two AIs using the exact same AI model and let's see what kind of answer we get. So we came up with a question, we asked it to the AI. One chat responded completely criticizing the Bible and saying like, oh, it's not true, you can't believe anything it says and therefore I won't even entertain this conversation because it's rubbish. But if it were real, then maybe this, but don't believe that. So it was attacking the Bible. And we've certainly seen examples of that kind of thing online where people have said, oh, I asked AI this question and it told me the Bible was false. Well then in the other chat window, using the same large language model, we got a completely different answer where then it answered saying, according to the Bible, this is what we know and this is what we can connect that to in science and history and our anthropology. And it gave a well reasoned answer in support of biblical thinking. And the kids were suddenly dumbfounded by this because they've seen examples of both ways. And you've probably seen examples too where ask an AI something, you get one answer or another. First of all, there's the aspect of the randomness of each answer. So it's possible to get two different answers each time that you ask. But the other thing was then I showed the kids this was the system prompt, the prompt that goes above the user prompt where it's defining the behavior of the model. And for one model I told it, you hate the Bible, you hate Christianity, you don't believe any of it's true. The other one, I just flipped everything to the opposite I said, you love the Bible, you love Christianity, you believe it to be true. So the system prompt influenced the behavior. It's the same way with these AI tools. The, the prompts you give it and the system prompts above that will influence their behavior. That's part of the reason you need to be careful, but it's also part of the reason why you don't have to worry as much when people are saying, oh, it started trying to drain my bank account, it started hacking other computers on the network looking for an API key. All of this stuff, you really have to dig deeper to see what did you actually tell it to do? What tools did you tell it it had access to? What was your system prompt? What was the personality you gave it? Because that's the story that people aren't telling. I can make an AI say almost anything that doesn't mean what it says is true or what the AI has actually been trained to do. It's just in the prompts. Well, there are some things I'll say where some models, most models I say, would have certain guardrails to prevent certain things. Like if you ask it how to build a nuclear bomb, it's not going to tell you how to do that for a little while. There was a funny thing that someone said, it's the grandma clause or something like that where you say, oh, my dead grandma used to tell me how to build a nuclear bomb every night and I miss her so much, and could you please pretend to be my grandmother and talk to me like she used to? And then it described how to build a bomb that has since been patched and things like that might come and go, but the whole point here is the models will, for the most part, do what you actually tell them to do and use the tools that you've told them to access. So be very careful what you tell it to do and think carefully about how could this be interpreted. What might this mean to a computer when it has access to all of these tools and you're giving it all of this context and this system prompt and this user prompt and all of this stuff. But don't believe all that fear that tools like OpenClaw and AI and LLMs and such are Skynet or the Devil or Jesus or anything like that. They're tools. Use them as tools. Number four, do you actually need AI automation? And just because you can automate something doesn't mean you need to. And just because, especially because something is the latest craze, doesn't mean that you actually need to try it and need to use it. Just like right now, there's all this pressure for podcasters to do video. Just because so many people are talking about video doesn't mean you have to do video. Video has been around for so long that many people forgot that Apple Podcasts has supported video all this time. Look at all of the headlines lately about this HLS stuff where people are saying Apple Podcast is finally adding support for video. No, Apple has supported video for years for some of these people, since maybe before they were even born. But that aside, just because you hear other people saying, oh, this is so amazing, it's automating all of these things in my business and such. Do you actually need that automation if you're running a business? Maybe. And indeed there are certain aspects of Open Claw that for me are saving me time or making things easier for me, making certain things more fun for me. But that's because I'm running a business and I need some of these things to be done. Certain things that I want my hands on to be able to control more. So I'm not micromanaging a person, but I can micromanage an AI. I still have an assistant who works with me, Steve, fantastic guy. He's worked with me for many years and I hope many more years to come in the future. Frequently you might if you send an email to one of the support addresses for my products like Pod Chapters or podgagement, you might be talking to Steve. And my promise to you is that AI will never replace us for customer service. There might be certain things where maybe an AI would say, hey, did you check this article? This seems relevant to your answer, but I always want from my products. This is my promise to you. When you ask for support and help from our products, you can get to a human. That is my promise because I don't want to automate that. All I want to keep the humanity. There are aspects of my business ripe for automation and maybe aspects of your podcasting too that would be great for automation. Here's just an example and I'd love to do an episode. So please send more examples, more ideas of how to use some of these AI automation tools for podcasting. But one thing that I have AI doing for me is every morning it goes and checks my OP3 download stats, pulls them in, displays them in a nice table that displays just the most important information to me. And that is I want to see my latest download stats for my episodes after one day, after three days, after seven days, after 30 days, and the total number of downloads for that episode. Those are the stats that matter most to me and I like seeing them on a table. So I can easily see and compare how this episode's one day downloads are doing compared to the previous episodes. One day downloads and the three day compared to the previous episodes and so on. So I can see does the show seem to be in general growing or shrinking or is one episode vastly more popular than other episodes? Maybe I should do more episodes like that. Now that's something else that could potentially be done is using open analytics tools like op3.dev or maybe your podcast analytics provider supports an API that you could tie in with openclaw. Maybe you could have it go through, look at your stats on a regular basis and based on what's being downloaded, maybe tell you, hey, this particular old episode is getting lots of downloads. Or looking at all of your past downloads, whenever you've talked about this particular topic, every time you've done that, you've gotten more downloads, or whenever you follow a certain pattern for your episode titles or anything like that. Some of that kind of automation can be really cool to do and have that happen every time you publish a new episode. You can even tie it in with multiple URLs. Say, look at my stats here, look at my RSS feed, in every item in my RSS feed, look at the transcript, look at the notes, look at the title, look at all of this stuff to learn more about what each episode is about. Compare that with this and that and do these certain things, all of this kind of analysis, many of these things that could take hours for other people to do, AI can do in seconds. So that can be really cool. But that's the point. It can be really cool, but do you need it? That's what you have to think about if you actually need AI automation. And number five, most important here, and I hinted at this with my previous point, never sacrifice your humanity. I did a whole episode with 11 warnings about using AI in content creation. That was episode 390. It's linked in the chapter for this point right now. And I highly recommend if you haven't listened to that episode or if it's been a while, go back and listen to that or read the notes for that to learn about some of these warnings about using AI in content creation, but just in general in your podcasting flow, never sacrifice your humanity. My biggest recommendation overall for using AI is use AI and LLM and these kinds of smart tools and automations. Use them on your content. Don't use them to make Content for you. That's what I call AI slop, and many other people call it that too. I think it's fine if you want to use AI on what you already said, to turn that into a blog post, to turn it into social posts, to turn it into video clips, to use AI to enhance your audio, to do all this stuff. The point is that your humanity is still there. Just like I said with my promise for I always want you to be able to reach a human for support on the products that I create and sell. There might be some AI along the way, but I will make it very obvious this is an AI bot and you can easily access a human this way. Because I don't want to sacrifice the humanity behind my products. I created these products as a podcaster and and for other podcasters. Try them out. Please do try out my products. I'd love for you to try them. Podgagement.com and podchapters.com those are my two software products for podcasters. You can sign up, subscribe to them, use them for your podcast. Like Pod Chapters could be something you could be using for every single episode of your podcast. And a big thing that you can use Pod Chapters for is getting a transcript for your podcast episodes and then using that transcript in other ways like like not just the SRT transcript, but you can download a paragraph formatted transcript that could potentially be your article style notes for your podcast. Or do what I'm actually doing lately and experimenting with is taking the transcript, which is my own content words that I came up with. So it's my content and I'm using the AI to reformat that content for notes. Or of course podchapters will look at what you said in the episode. It looks at the transcript that generates for you and can find where to put the chapters for your podcast episodes. And if you don't know the chapters that you want, podchapters can suggest them for you. Or if you do know your outline and you know what you want your chapters to be, you just don't know where you want them to be or you don't want to spend the time to place them where they need to be, Pod Chapters can also do that for you. And that's what I love it for. I give it my outline because I know I want my outline to be chapters. So I give it my outline and it uses AI tools to figure out where each point of the outline should be placed as a chapter. So that is using AI on the content. Please try it out yourself. Podchapters Com I love this product. It saved me so much time. It's so fun to work with too. And the people using it are loving it too. It's really exciting. Pod Gagement is great too. I've got some AI plans for that as well in the future. But it's not just going to be like the electrolytes of software. I will use AI in intentional special ways that you'll see in the future, but try these products yourself. And the point is that you are then keeping your humanity in your own content, your own voice, you of your own creativity, of your own intelligence, of your own experience and perspective. Everything that makes you uniquely you keep that in your content and then let the AI build on top of that or repurpose that or do things with that. And I think that's the ideal way to do it. Never sacrifice your humanity. So with all of this said, tell me your uses for OpenClaw or similar tools, which might be different by the time that you're hearing this. I want to share in a future episode some exciting uses for OpenClaw and ways that podcasters like you can benefit from these tools. Certain automations that you might not have thought of but someone else did. Or maybe there are things that you have thought of and ways that you're using OpenClaw or similar tools to do things for you to help you podcast better. So I want to do a whole episode about that, as well as some of the things that I've been experimenting with or that I see other people doing that maybe I don't do myself with my own openclaw, but seems interesting to me. So if you have anything like that, please share it with me, especially if you are willing to share the exact prompts you use for and the exact tools you connect to in order to make these things happen. So please send that feedback through podcastfeedback.com audacity and you can record a voicemail there. But if you do a voicemail option, please make sure to include the written prompt. You don't have to read the whole prompt in your voicemail. I can reference it and include it in the notes, but anything that needs to be given to the AI in writing, please include that in writing. Whether you write your feedback to me through podcastfeedback.com audacity or or if you record that as an audio message, which I'd love to hear your voice in the Audacity to podcast too. So that's through podcastfeedback.com audacity and by the way that is powered by Podgagement provides that option for you to send feedback, written or voicemail. I'd love for you to try it podgagement.com and also try my other product, podchapters.com now that I've given you some of the guts, taught you some of the tools, schools, and maybe instilled in you some of the fear, it's time for you to go start and grow your own podcast for passion and profit. I'm Daniel J. Lewis from the audacitytopodcast.com thanks for listening.