He Built an AI Assistant With Raspberry Pi for $100

0:00A small business owner just built an AI assistant for $100 a month and it handles his entire business operations and it runs on a Raspberry Pi device 7 days a week and it runs 24/7 no monthly subscription to open AI no sending his private business data to some cloud service and he did the whole thing in one afternoon. The total cost $100 for the hardware and about $30 a month to run it. And I'm going to break down how exactly he did it and why it works and why I think this might be one of the smartest open claw setups I have seen. If you're interested in building an open claw agent and maybe you don't have a ton of money to set up that's why I decided to make this video for people

0:45like you and me to be able to get the most bang for our buck when we're building out these open claw AI agents. If you're new here my name is Beau I run 13 AI agents on a Mac Mini behind me and I've been building with open claw for the last 45 days. I run a community called Shipping School where we help people build and ship products with AI and we've had 106 members join in the last 15 days. So the reason why this story caught my eye is because one of the biggest pushbacks I get from people is I can't afford a Mac Mini and you don't need a Mac Mini you definitely don't. If you have a computer in your closet if you have something else like a dusty old laptop from 10 years ago you can get open claw running. So don't think you need a Mac Mini to get going and that's why this story basically proves that you don't need an expensive

1:30piece of hardware to run open claw. I'm going to tell you about this guy. He runs a blog called Transmutable Explorations. Amazing name. He's a long-time technologist and he open sourced a lot of things in the past and he has had a problem that I think a lot of us in small business owners can just relate to. He wanted an AI assistant that could actually help his business. I think we all do but mainly drafting blog posts analyzing SEO writing code automating repetitive tasks I mean who doesn't want that monitoring systems but he had four requirements that most AI services could not all meet at once. Number one was it had to be capable like GPT 54 class performance Opus 4.6 performance not just some basic chatbot

2:17that gives you generic answers. We've all been there. So really useful and intelligent responses that actually move the needles for businesses. I use Opus 4.6 it gives me the best output. The second thing is it had to be private. His data stays on hardware that he controls. No customer list going to the open AI servers no financial records training future models no proprietary processes leaving his network and I respect that because I feel the same way. I don't want my information going to these businesses that are going to use my data for who knows what you know I respect that much very much and you know because as a small business owner myself I think about this you know in which is why I see me running local models in the future. You know my Whatnot data for example we run a

3:02seven-figure resale business you know I don't want those numbers going out into the cloud and going okay you know I don't know where they're going. Basically my Shipping School member info you know my revenue numbers you know I don't want that floating around in someone else's servers. Real quick before we keep going if you're watching this and you want to actually build with some of these tools not just watch videos about them then you're going to want to check out our community down below Shipping School. We have a full cloud code course a full open claw course and four live bootcamps every single week where we actually help you get set up from scratch like actually set this thing up not just watch a tutorial and figure it out by yourself. And we also provide one-on-one coaching so you could book a call with me we could share screens and I can help you

3:48get cloud code or open claw running on your machine. That's it no fluff I built this community because watching YouTube's only gets you so far. We launched it just 3 days ago and we have over 55 members. You need people around you who are actually building people who hold you accountable and coaches who can help you when you get stuck. I'll put the link in the description down below get in now before the price goes up. The third thing that this guy needed to have was it had to be accessible from anywhere not just sitting on his desk. He needed to be able to use it from his phone and his laptop or wherever he was because that's how business works you're not always at your desk. The fourth thing and fourth requirement it had to be automated. It should work while he sleeps so setting up tasks letting it run overnight and then coming back to

4:34the results in the morning which is exactly how I run my agents. So I was already enjoying reading his specifications for his build because I wanted the same thing. So here's what he built and this is the part that actually got me to make a video about this is the hardware is on a Raspberry Pi device with a 4 gigs of RAM. For those who don't know a Raspberry Pi is a tiny computer that's about the size of a credit card. You can buy one for around 100 bucks it's not powerful like a Mac Mini or a gaming PC obviously but it doesn't need to be and I explain why later in the video. For software he installed open claw as his AI gateway same platform I use same platform we teach in Shipping School. It handles all the conversation management the memory the scheduling basically everything. For

5:20the AI model he's using Venice AI through their API something called deem credits. Venice is interesting because it's privacy focused and it's a privacy focused AI provider. Your data doesn't get stored or used for training and the model he picked is Kimmy K 2.5 which has a 256k context window. That means it can hold entire code bases long documents or months of conversation history in its working memory at once. Nice choice. And for remote access he's using Tailscale which is a secure mesh VPN. He can access his AI assistant from any of his devices anywhere in the world but it's completely invisible to the public internet like nowhere you can find it or hack into it unless they're on his Tailscale network. Total hardware cost

6:05$100 one time operating cost 30 bucks a month in deem credits for heavy usage. Compare that to like a Claude Pro plan at 20 bucks a month with usage limits compare it to a chat GPT plus account at $20 a month and you could compare it to hiring a part-time virtual assistant at about 500 to $1,000 a month. Let's compare it to a managed enterprise AI service which is typically 200 to 500 a month. He's getting better results for $30 a month and his data never leaves his control. Now let me walk you through what the system actually does on day one because this isn't theoretical he's documented everything. I have the source to his info down below you should check it out. The first thing he did is he set up daily operations. So at midnight every single change to his workspace his

6:52notes scripts configuration and all of that gets automatically committed to GitHub with descriptive commit messages generated by the AI. He never has to remember to back up his work again. That's handled. The second thing is he configured hourly security monitoring. So every hour the system checks for failed SSH login attempts unexpected network services abnormal research usage and open claw security audit warnings. So if anything suspicious shows up he gets alerted immediately on a $100 device. That's better security monitoring than most businesses have right now. The third thing is automatic updates. Security patches are applied automatically. The system stays current without him lifting a finger and on his

7:38very first day with the system he and his AI assistant performed a fit full security audit and hardening of the entire setup. It installed and configured Tailscale for remote access set up automated backups and monitoring planned out a entire content strategy for his blog and drafted an entire blog post about the experience. That's a full day of productive work from a $100 computer. Here's what I love most about all of this. He was real about who should and shouldn't build this. He said if you're comfortable with Linux and SSH and basic networking and you value data privacy and you have recurring daily AI tasks then build it. But if you need AI right now and you don't want to spend time setting things up use the managed

8:24service right? Start with Claude or chat GPT and then migrate to self-hosted once your usage justifies it. That's straight-up honest advice and I love that. I want to connect this to what I see in our community because this is really important. People think you need thousands of dollars in hardware to run AI agents. This is not true. They see my Mac Mini setup with 13 agents and they think that's the minimum but this guy just showed that you could run a powerful private 24 assistant on a device that cost less than a pair of sneakers nowadays. And it's not a toy it's doing real business work blogs drafting SEO analysis code writing system monitoring automated backups like actual real stuff that help him run his business. The architecture is pretty brilliant in its simplicity. I try to

9:11keep mine simple as well. I want to be able to understand it so I could teach it and help people learn this simple product as well. It needs to be simple. Once you start over-engineering things things start breaking. So basically this guy's device it connects through Tailscale to the Raspberry Pi which runs open claw as the gateway which connects to Venice AI API for the actual intelligence and then his data flows through his own hardware and it gets processed by a privacy focused API. The results come back to you nothing stays stored and nothing gets trained on and basically nothing leaves his control. And if you think about the cost comparison over a year like a virtual assistant costs at least 500 750 a month that's $9,000 a year. A managed AI service at 300 a month 3600 a year. But

9:57this setup we're talking about is $100 for the hardware one time, and then $360 a year for the API. So you're you're all in $460 a year total for the first year. And after that, it's just $30 a month. That's a 95% cost savings compared to like a virtual assistant that runs 24/7 instead of just a business hours time schedule. The virtual assistant's not going to run 24/7. If you're struggling to keep up with content, what I'm about to save you about 40 days [music] worth of work. I built something called Content Machine. It's 10 AI agents that run on the open claw orchestration, and they handle everything. Scripts, thumbnails, X posts, [music] blogs, outreach, clips, newsletters, all of it. So, I went from 1,000 subscribers to

10:444,000 subscribers on YouTube in 7 days using this exact system. Every single morning, I wake up [music] and the content's already done. I spend maybe 15 20 minutes reviewing and approving them, and I move on with my day. It works for any niche, fitness, [music] finance, real estate, marketing, whatever you are building, and it is 100% completely customizable to your use case. >> [music] >> So you get the mission control dashboard, all of the cron jobs, everything I've built over the last 40 days helping me gain more and more people to subscribe and join the community. So you plug in your own thing, and it molds it to you, it learns how you talk, and it writes, so it doesn't sound like AI slop. $97 one time, it's not a subscription. I'll put

11:30the link down below, and you'll thank me later. Now, I want to be real about the limitations, too, because it is a Raspberry Pi, and I want to keep you up to date as to, you know, what you would use this for specific. You know, a Raspberry Pi with 4 gigs of RAM is not going to run local models. You're relying on an API for the intelligence, which means you need an internet connection. If your internet goes down, your AI goes down, too. Also, the processing power for local tasks, like file operations or running scripts, is going to be slower than a Mac mini or a desktop. And setting this up does require some technical knowledge. You need to be comfortable with Linux and terminal commands. Here's the thing, though. For the vast majority of small business owners who need an AI assistant that handles writing, analysis, monitoring, and automation, this is more

12:16than enough. And the privacy angle is a massive part of it, especially if you're in a field like healthcare or legal or, let's say, finance data where data privacy is like it's huge. It's not optional. It's necessary. What really gets me excited about this is the trend that it represents. You know, when I started this journey, running your own AI setup felt like this elite thing, right? You needed expensive hardware, deep technical knowledge, and a lot of patience. But the barrier is dropping every single day. First, it was Mac minis, then it was old laptops, now it's $100 Raspberry Pi. A year from now, who knows? It may be a $50 device running on your watch, right? The point is this technology is becoming accessible to everyone, and that's what I love about the open source community, specifically

13:02around open claw. I actually told our community about this in one of our calls last week. I said the people who start building now, even on cheap hardware, are going to have such a head start when it comes to this technology, and when it really takes off, you're going to be ahead of the game. Because it's not just about hardware at all. It's about understanding how to set up agents and how to prompt them effectively, how to build your workflows that save you time. That knowledge transfers no matter what hardware you're running it on. And you know what the funniest thing is is this guy's setup is actually more secure than most people running AI on AI on expensive hardware, because he locked it down from day one. Tailscale, the VPN, key-based SSH authentication, automatic security updates, hourly monitoring, device pairing approvals, like he can't

13:48even access his own dashboard from a new device until he explicitly approves it from the server. That's proper security. And a lot of people with $2,000 Mac Studios don't have security that tight. My takeaway for you is if you've been on the sidelines because you think you can't afford to get, you know, AI agents up and running, this story just removed your last excuse. $100 and an afternoon, like that's the entry price to running your own private AI assistant that works 24/7 and keeps your data under control. You don't need a Mac mini. You don't need a cloud subscription. You need a Raspberry Pi, an internet connection, and a willingness to learn. And if you want to learn how to set up something similar to this or, you know, maybe you want to build your first AI automation,

14:33and you want to be around another 160 people that are trying to do the same, I'll put the link to the description of our community down below. We do six live boot camp calls a week. Come check it out. You know, we've got over 160 members. We're really focused on community first. Whether you're running a Raspberry Pi or a Mac Studio, the community is there to help you build and ship real stuff, and we'd love to have you. And if you haven't subscribed already, we released like four to six videos every single day. Hit the notification bell if you want more open claw stories and breaking AI news. See you in the next one. Have a blessed night.