You’re Not Behind on AI: Start with the Business, Not the Tools

AI pressure makes established leaders feel like they are already late. They are not.

Josh Weiss and Bones Ijeoma unpack a business-first approach to AI adoption: diagnose the operating constraint before prescribing technology, turn personal AI habits into organizational capability, document the happy path, and capture 80% of the real work before automating it.

Chapters

About Build Different

Build Different is a weekly conversation between Josh Weiss of Clearworks.ai and Bones Ijeoma of AllSafe IT about AI, automation, cybersecurity, and the operating choices behind them.

• Learn more about Clearworks.ai
• Learn more about AllSafe IT

Creators and Guests

Host

Bones Ijeoma

Bones Ijeoma is the founder of AllSafe IT and AllSafe Intelligence. He helps established businesses connect managed IT, cybersecurity, cloud, and practical AI automation to how the company actually operates. On Build Different, Bones brings the secure-foundation and practical-technology perspective.

Host

Josh Weiss

Josh Weiss is the founder of Clearworks.ai, an AI operations company for architecture, engineering, and construction. Clearworks helps firms understand how work moves across projects and the business, then decide where automation and AI belong. On Build Different, Josh brings the workflow, context, and adoption perspective.

What is Build Different?

Josh Weiss of Clearworks.ai and Bones Ijeoma of AllSafe IT talk through what AI, automation, and cybersecurity actually change inside a business. No script. No pitch. Just two operators comparing what they’re building and learning.

# Build Different — Episode 001 Transcript

**Riverside working title:** Magic episode 02
**Speakers:** Josh Weiss; Bones Ijeoma
**Source:** Riverside review clip `6a8382ebd7ce89b6807ec178` from take `c3c042cc-0961-4747-a42e-47c7db6d1b8d`
**Captured:** 2026-08-22 UTC
**Transcript status:** Riverside machine transcript; lightly normalized for spacing and ordered by source timestamps. Not human-corrected.
**Coverage:** 142 utterances, approximately 5527 words, through 32:40.

---

**Josh — 0:01**
Hey everyone and welcome to Build Different. We are two guys building automation and cybersecurity businesses, and this is the conversation we'd probably be having anyway. Every week we'll talk through whatever's actually on our minds AI, tech, business, life, and the occasional idea we probably should have thought about a little more before we set it here. This is not scripted, we're not pitching anything, and there's no guarantee we're gonna stay on topic. Just a weekly catch up about what we're seeing, building, and trying to figure it out.

**Josh — 0:31**
Let's get into it. My name is Josh Weiss. I have my colleague here, Bones Joma, and um let's talk about what build different means for our first episode here. Um and I'll throw something

**Bones Ijeoma — 0:47**
And why we decided to start a podcast, basically.

**Josh — 0:50**
Exactly. Well, okay. We can start with that. We decided to start a podcast because we're both running businesses that are working with AI and associated technology a lot. We've done a a lot of research. We're deeper into this than as I like to say uh this week to somebody, we are ahead of a lot of people and we're certainly behind some people too. But we've been learning enough.

**Josh — 1:19**
To have something to talk about and our conversations are fun.

**Bones Ijeoma — 1:24**
Absolutely. And you and I consume so much content and we're constantly sort of studying this AI space. We're we're looking at how it's moving every day. And I also think that the goal here is to distill some of that information for an audience so that they can get what we think are the most important things that are currently going on in the AI space that's relevant for a business owner.

**Josh — 1:50**
Yeah. And something that, you know, when we say build different and when we think about why this podcast has some reason to exist amongst the many others that are obviously out there, is that everyone is talking about AI right now. There's a lot of fear of missing out. There's a lot of FOMO about AI. And, you know, sometimes I get on the phone with with with a new prospect or with a new client and I ask them, you know, why are we talking right now? And literally they say, because I'm afraid of being left behind. Um, we're not here to do that.

**Josh — 2:20**
We're not here to try to push pressure that you need to get started with this stuff, or even, you know, to talk about getting left behind in that language. And honestly, we're not even here to talk only about AI because Bones and I share something similar in our approach, is that when you're looking at AI, this is really about the operations of your company and how it functions.

**Josh — 2:46**
And AI is one way that you can help make your company function better, but it's part of a really broad tool set. And we wanna help kind of show that when you're looking at implementing AI, there's so many other pieces to that conversation as well.

**Bones Ijeoma — 3:03**
Yeah, absolutely. So it's business first, operations first, tools second. Um and the way that we look at it is, you know, um medicine before diagnosis is is malpractice, right? We want to make sure that when we're prescribing solutions for you, it's rooted in in true business outcomes um first. So, you know, overall when when you're thinking about AI, um, when we're thinking about this podcast and and

**Josh — 3:10**
Yes.

**Josh — 3:18**
Yeah.

**Bones Ijeoma — 3:32**
and what it can deliver. uh We are really trying to help a business owner figure out which of these solutions uh will fit solving their specific business problem and their specific business case. So we always sort of use the analogy that if you were to double the size of your business, uh what would break? You know, what what department would break? What area of your business would fall apart? And that's where we really want to focus on that constraint.

**Bones Ijeoma — 4:01**
And and focus on putting AI solutions there first. And then once you get started, once you see some value, once you see the the return, once you start to see some traction, then we can move it into those other areas.

**Josh — 4:15**
Exactly. And you know, I think the thing kind of to to finish up the introductory portion of this podcast today, the thing that we really want to shy away from on this podcast is tools. Which tools should I use? This is not a podcast where we're gonna suggest to you whether you should choose Claude or Chat GPT or Gemini or Microsoft Copilot. Um

**Josh — 4:41**
That that is a great question and there's certainly a time and a place to ask that question. And you know, when I run workshops teaching folks in various industries about AI, those are some of the first questions I usually get is we're using ChatGPT today. Should we switch to Claude, et cetera? This podcast is not about that because we pay a lot of attention to this stuff and the changes going on are so rapid. Um

**Josh — 5:09**
And the concepts that we're interested in, and the concepts that we're teaching, they really apply on any tool that you're using. And so when Bones says business first, that's actually what we mean. This is about the functioning of your business. This is about the best outcomes that you can get from the technology. And those are at this day and age going to be the same, whichever tool you're using. And

**Bones Ijeoma — 5:32**
Yeah, absolutely. You know, they are uh, you know, anthropic, open AI, they're they're head-to-head. You know, Grok is now in the game with XAI solutions. So these things are constantly changing. So what we love and what I think when I hear build different, we also want to help you integrate AI solutions that are um agnostic that work across any of these platforms, right?

**Bones Ijeoma — 6:00**
And because we're starting with business first, we're not tied into any specific tool ecosystem. Um, you can use whichever solution you have in place that you're the most comfortable with right now. Okay.

**Josh — 6:13**
sure. So, you know, essentially that's that's kind of where that's where we're coming to this podcast from. We're coming to this podcast from those, you know, those particular places, staying away from the tools, doing our best to stay away from the hype. This is of course a hype-filled time in the world and there's only so much that we can do that. But you know we we're gonna be less like that than your other podcasts. And I think moving into the main discussion for today, kind of out of that introduction.

**Josh — 6:44**
Um there's I think something to look at is really like what are people misunderstanding about AI right now? Um, because AI it's a lot of different things. You know, AI can, you know, there's certainly some sort of scary moral and ethical pieces about AI that we could look at. There's environmental aspects about AI, there's sort of job loss aspects, there's, you know, and I'm not even saying that none of that exists. That's all real on one side and you know, could be

**Josh — 7:13**
Could be looked at and talked about in various ways. Um, people are also, you know, misunderstanding. I think something a lot of people misunderstand about AI is that a lot of people are good at it and that a lot of people know how to use it. I think a lot of people are using a little bit of AI, but by and large, I was reading a research report yesterday and and like it was a it was a survey of 500 large enterprises. And it's only like maybe 10% of the people in those enterprises that really

**Josh — 7:43**
you know, five percent, ten percent that really know how to use AI. And I actually think that could be an interesting thing to focus on phones a little bit. Is like i even in your business or in anyone's business, right? Like what is you know, what does this look like?

**Bones Ijeoma — 7:50**
Yeah, yeah. Um, I think about that.

**Bones Ijeoma — 7:55**
Sure. Yeah, I think um I think about that a lot because there's this concept that I have around personal AI and your personal use of AI and how that personal use can sort of evolve into an organizational use of AI, right? So the way that you use AI as a person, you know, whether you're chat GPT chat conversations is different than AI as a system.

**Bones Ijeoma — 8:24**
That's integrated into an overall organizational standpoint where people need to be able to share context. They need to be able to share information. So I like thinking about it from a personal AI, someone creating AI solutions for themselves to accelerate and do the force multiplier on an individual basis versus AI as an organizational force multiplier.

**Bones Ijeoma — 8:50**
Where the entire company can move forward because they have a a single integrated AI system. And always, you know, the the rule of thumb is AI is only as powerful as the context that you give it. So the more context it has, the more relevant context, it's gonna be more powerful. Um yeah. Yeah, so context is the um the the history, the story, the knowledge.

**Josh — 9:10**
Can you give an example of that? What context means in this case?

**Bones Ijeoma — 9:18**
That it has on the back end, right? So it this is all the all the sort of accumulated knowledge um in a specific area. So whether that be, you know, the tr pre-training data or uh your access to your documents, your emails, your applications through API, that's additional contact. So the more context you give in a specialized area, so let's say that you're a sales team and you want to

**Bones Ijeoma — 9:48**
Do outreach to a new prospect. So part of that context would be going to the prospects LinkedIn and getting an idea of their history, going to the company website, getting an idea of what the company does and searching the internet for additional context. You'll take that, give it to an AI, you'll get a much more concise, much more accurate, and incredible output, right? Um

**Bones Ijeoma — 10:15**
So think about that from a company standpoint where now you're not just doing it on an individual basis, but you're looking at anything anyone else at your company has done with that prospect. And now you've got, you know, an even more fine-tuned uh context that you've provided it.

**Josh — 10:31**
Yeah. And and I'll give another example of context that I've been working with a lot lately. I do a lot of research to get ready for presentations. I work a lot in the architecture, engineering, and construction space. And I

**Bones Ijeoma — 10:36**
Mm-hmm.

**Josh — 10:47**
There's something that I have to do a lot. I have to research what is new in the industry right now and how does it apply in the way that I teach for the types of solutions that my company designs. And what what I started out doing a year ago for that was to open up a chat in one of, you know, Chat GPT or Claude. And, you know, I would go explain every time. Hey, here's my company, here's what I do, here's what I'm here's what I did last week, here's what I'm working on this week.

**Josh — 11:14**
Um, and then I would have to tell it go look at these 10 websites and then go do some research. Um what I do now in in the system that I use, which is built on top of a few of the different models, it works a lot with codecs from from OpenAI. Um, but that system has access to every proposal I've ever sent, to every recording of every meeting and every uh workshop that I've led.

**Josh — 11:43**
And it has a list of sources that I do research from. And so now I just open up that chat and I say, prepare me a presentation for this week. And I get exactly what I need. Because it has the way that I teach the sources that are important to me, the questions that the people who attend my workshops have asked in the past. And you know, I'm just one person.

**Bones Ijeoma — 11:43**
Mm.

**Josh — 12:11**
When you take that concept and apply it to your business, if you have 10 people doing research in your business, right, when I go back to what do people misunderstand about AI, it's that mostly that people need to open up a chat and work in this way that we were all introduced to Chat GPT to, you know, three, four years ago. Right. What we want to do now is take something that people would have to do manually in a chat.

**Bones Ijeoma — 12:11**
Right.

**Josh — 12:38**
Have the one person who knows how to do that process best actually create uh create the skills that allow that to work. And now your entire team can just say, get me ready for this week.

**Bones Ijeoma — 12:52**
Yeah, absolutely. So what I also heard you say, it is really about workflows, right? And it's about defining those workflows and setting up the workflows within an AI system where now one person's knowledge can be shared across an entire team and the AI has that same context across the entire team instead of just one person's unique chat. You know, and I guess, you know, where I started using that.

**Josh — 12:59**
Yes.

**Josh — 13:03**
Yes.

**Josh — 13:16**
Exactly.

**Bones Ijeoma — 13:21**
many years ago was with Chat GPT projects. Um, you know, you could add a project, you could add some documents, or you could add some Excel files or PDFs. Um, and then you would you you could have some really great context and some really great examples. Um but the real unlock for me was the ability to share that with someone else. So that sort of started this whole process of everyone creating GPTs, right?

**Josh — 13:44**
Yes.

**Bones Ijeoma — 13:49**
You know, hey, use my GPT, it's it's been trained on my specific knowledge. And I think now we're starting to see that even evolve uh even further now with agents.

**Josh — 13:49**
Yes.

**Josh — 13:54**
Yeah.

**Josh — 13:59**
But tell me this, Bones. I mean, tell me this. You know, you you are are running a company that does a lot of discovery with businesses in a lot of different industries, pretty mature businesses for the most part. How many of those people are mostly just have some employees using Chat GPT? How many of those people have agents? Like, like what do you really think? Like, you know, I know for anyone who's on LinkedIn right now, in in whatever your industry is.

**Bones Ijeoma — 14:10**
Mm-hmm. Yep.

**Josh — 14:27**
You're seeing people posting on LinkedIn that they're automating everyone's jobs and just, you know, just comment here and get the workflow that your industry needs to to 10x their business. Like how many businesses are really doing that right now versus just barely getting into Chat GPT do you think?

**Bones Ijeoma — 14:27**
Mm-hmm.

**Bones Ijeoma — 14:43**
I would say maybe 15% of the businesses that we consult with have something beyond just a chat interface. Um, I think now we're starting to see more and more people using tools like Copilot or using Codex, uh, where they have access to the local computers. But really, there's still a large group of people that still sort of live in that chat world, right? Where the AI is not doing work.

**Bones Ijeoma — 15:13**
The AI is providing knowledge sort of advice and uh a collaborative sort of chat system, right? I'm I'm not seeing, you know, very many automated agents that are creating uh presentations in an automatic way or creating documents or using design standards or or using templates for the way that they work. I'm not seeing that as much currently.

**Josh — 15:22**
Yeah.

**Josh — 15:40**
Yeah. Yeah. I think it's I see that n I see nobody's doing it. I ran a I ran a survey recently of of architecture firms in the Los Angeles area. Um I didn't get a ton of respondents. I got around twenty-five respondents, but out of those respondents, and so these are real architecture engineering construction firms in the Los Angeles area. Um like basically none of them. Like

**Bones Ijeoma — 15:41**
And how about you? Are you seeing that with with your customers? Yeah. Okay. Right.

**Bones Ijeoma — 15:54**
Mm-hmm.

**Bones Ijeoma — 16:06**
Mm-hmm.

**Josh — 16:09**
Almost all of them, the way that they answered how much they've adopted AI is that a few people in the company are doing very individual experiments. And um every company who has actually hired me to help is doing nothing. And I think that makes sense to a certain extent. They're feeling more behind, and so they're asking for help. Um, but I, you know, every survey that I read across large enterprise, across small business is the 10 or 15% max.

**Bones Ijeoma — 16:18**
Mm, I see.

**Bones Ijeoma — 16:39**
Yeah, and I think there are good reasons for that.

**Josh — 16:39**
Um and wait, hold on, and and before Yeah, well, and I mean before you jump in, I think it's the only reason we're saying this is to say you're not behind. You're not behind. Whatever you're doing, if you're doing anything, is more than most people. And even if you're just interested in this, you're not behind. It's you know, like you know, so many of the people that are trying to say you're behind are trying to sell you something.

**Bones Ijeoma — 16:52**
Exactly.

**Bones Ijeoma — 17:02**
That's right. That's right.

**Josh — 17:08**
And

**Bones Ijeoma — 17:09**
Right. Yeah, no, that's a that's a really good point. I mean, I I think that, you know, even for guys like you and I that we use this technology every day and you know, we'll go on the sort of social media world and and it you know, we almost feel like we're behind and we're we're using this technology every day. So I think that for the average business owner, um, or or just someone that wants to be able to integrate AI more and more.

**Josh — 17:28**
Yeah.

**Josh — 17:30**
Yeah.

**Bones Ijeoma — 17:38**
into their environment. Um we're just recommending that you really go back to the business case. We really go back to what are the things that you do on a day-to-day basis. I mean I I think I read something there's a new feature in either codex or or chat dbt where it can look at everything you did in Codex and and it's Codex has this feature. Yeah it's codex from OpenAI.

**Josh — 18:01**
Codex. Codex from it's Codex from OpenAI. Yeah.

**Bones Ijeoma — 18:07**
Um can look at how you use the AI system. It can then give you recommendations uh for what to generate skills and automations and workflows based on the kinds of things that you're doing within the system. So

**Josh — 18:21**
Exactly. And I think actually that that is a really good kind of place that we could take kind of this conversation before we move on to another section. But I think, you know, if we want to talk about for folks who are listening here that feel like maybe they're a little bit more behind or you know, in my survey that I asked, the most common question I go, I asked people, you know, what is preventing you from going

**Bones Ijeoma — 18:31**
Sure. Sure.

**Josh — 18:49**
Into this stuff in more depth with you know AI, automation, sort of like streamlining their businesses in a more modern way. And you know, the options that I had listed were like cost, risk, a couple other things. And then one of the options I had listed was we don't know where to start. And basically everyone chose that one. Now, everyone has liability risks. And you know, I had another question about liability and whether people were worried about risk, which this should be.

**Bones Ijeoma — 19:09**
Mm-hmm.

**Bones Ijeoma — 19:17**
Mm-hmm, mm-hmm.

**Josh — 19:17**
And you know, everyone said then, okay, yes, we do have concern about risk. But when I said what's preventing you from starting, it was not risk. It was, I don't know what to do, I don't know where to start. And I think something that we can talk about, and something that both Bones and I are kind of obsessed with, is you know, the place you start is in a very easy way. Just start to figure out what do you do every day and what does it look like.

**Bones Ijeoma — 19:23**
Mm-hmm.

**Josh — 19:48**
And you know, I find when I go into these businesses, they might say, hey, we have this one thing. Like I I'm working with a business right now, they're smaller, they're about 10 people. But everyone in the business spends one or two hours of every week doing a process, which could be done in about five minutes with with AI. And so they, the first thing that they wanted help from my firm in fixing.

**Josh — 20:15**
was can we automate this process? It's a report generation process. And the reason I'm bringing this up is because I said, great, can you show me how, you know, show me the, you know, the step by step of how is this process done? And that didn't exist. So 10 people doing the same thing. So we're talking about, you know, a fair amount of hours on payroll every week being spent on this process.

**Bones Ijeoma — 20:20**
Mm-hmm.

**Bones Ijeoma — 20:33**
Mm.

**Bones Ijeoma — 20:41**
Sure, sure.

**Josh — 20:44**
And no one had ever written down how it was done. So what we had to do before we could automate it is literally write down step one, step two, step three, step four.

**Bones Ijeoma — 20:48**
Sure. Yeah. And and

**Bones Ijeoma — 20:57**
That's right. Yeah. We we call it the happy path. You know, if if all things, um, if all things were were the same, what is the ideal state of that process? Um, and how do we make sure that that process happens the same way? And I I had a very similar conversation um with a customer that we just did an an audit process for. And they said, Oh, this process, we can't, we can't write it down as a process. It's too complicated.

**Josh — 21:01**
Yeah.

**Bones Ijeoma — 21:27**
Um, there's too many edge cases. And what we realized is if you just focus on the happy path, you know, the the the path of least resistance where there are no weird edge cases, that's where you start. You just build that, you have a conversation whether you want to dictate to AI or or just sort of write it down and and then just send it into the AI model.

**Bones Ijeoma — 21:54**
It will create that workflow step by step for you. And then what's really great is for the edge cases, say, hey, bring all the edge cases to me. Um, so anything that doesn't follow the happy path, you know, bring those edge cases to you to handle manually. And then what you'll realize is those edge cases are ones that you can now program back in to the process, right? You create a new fork in the road.

**Josh — 22:17**
Yeah. Yeah. So and so the real takeaway here, right? So, you know, Bones and I are both working with established businesses, you know, making real money, paying, you know, paying real payroll, where very important things are not being written down. And the way to fix them is not write a technical manual that's a hundred pages before you start working.

**Josh — 22:45**
The way to fix them is open up Loom, open up your open up a Zoom meeting with yourself, open up the transcription tool on your phone, whatever, and say, now I'm gonna open this window, now I'm gonna log in here, now I'm gonna do this, now I'm gonna combine these three things. Um you know, really sloppy, really messy, like the faster and the quicker, the better.

**Josh — 23:14**
Because you're shooting for 80% here. You're not shooting for 100%. And once you have that 80%, someone on your team can start working on it. A consultant can start helping you. Chat GPT, Claude, whatever tool you happen to already have, you can feed that transcription to that tool and say, help me make this better.

**Bones Ijeoma — 23:35**
Right. Absolutely. That's a that's a great great advice. I think that sort of lowers the the fear bar so people can g just get started.

**Josh — 23:37**
And

**Josh — 23:47**
Um okay, I'm gonna shoot you a question, Bums, right now. Um What is one practical use of AI that deserves more attention than it's getting right now?

**Bones Ijeoma — 23:51**
Mm-hmm.

**Bones Ijeoma — 24:00**
I think what I what I am seeing are CEOs that are feeling overwhelmed. They've got too many emails. They've got too many meetings and all sorts of things to keep track of. Um, I'm seeing operations leaders that are trying to juggle lots of different projects and various things. I I think the personal knowledge management system um is

**Bones Ijeoma — 24:29**
vastly underrated and extremely powerful to help someone, you know, take this chaos and sort of build some kind of order order and organizational, you know, strategy around it. And um just to kind of define what that means is, you know, this is very personal AI. This is you helping you to sort of organize the chaos that's around you. Um

**Josh — 24:44**
I love that.

**Bones Ijeoma — 24:56**
What I also love about this is that it works with any AI model, whether you're on Anthropic, whether you're on uh Codex, um, or whether you're on Grok. Um and really what it is is a series of uh folders that are on your computer. And in those folders are files, markdown files that have you know access to data. So um it can, you know, take your email and and access that, or it can

**Bones Ijeoma — 25:23**
get access to your uh meetings, whether you've got fireflies or granola or whatever you're using for meetings, and it's pulling that information in. So you can ask the AI any question and back to the context that we talked about earlier. It has very specific context about you, your business, what your goals are and what you're working on right now. And the AI has the ability to help you execute that in a more productive way.

**Josh — 25:48**
And it it's so important. And you know, where I would kind of go like right along with that, and even simpler than that, is the starting point to get there is something that I've been calling with my clients lately, just like just capture in general. And so like what I find is you know, anyone who's using Zoom is probably getting the auto-transcribe notes.

**Josh — 26:17**
From their Zoom meetings. But what we do find is a lot of people who work in corporate, their company uses Teams. So then there's some things that are in Teams, there's some things that are in Zoom. Sometimes their client invites them to a Google Meet. So now I've got all these transcription notes that are maybe sitting in my email. I forgot to record some of it. And then some of our important meetings happen in the conference room. But in the conference room,

**Josh — 26:44**
Even if we have a system for external meetings, no one thinks to turn it on and record the internal meeting. So now the internal meeting wasn't recorded. Um, and then, you know, for folks like I do a lot of work for companies who work in the field, construction, architecture. No one's recording the conversations that are happening on the job sites. They're writing everything down manually when they're on the job site. So all of a sudden I have all these conversations and all this information.

**Bones Ijeoma — 26:59**
Mm-hmm. Mm-hmm.

**Josh — 27:13**
I was just got off a call before this. They were like, oh, one of our clients insists on talking to us on WhatsApp. So the entire client history for that client is on WhatsApp. Right? So when I talk about capture, it's how do I make a practice that everything which is not like you know unable to be recorded for security reasons is all captured and goes into a central place so we can then do what Bones is saying and actually do something.

**Bones Ijeoma — 27:19**
Right.

**Bones Ijeoma — 27:22**
Right.

**Josh — 27:43**
with that information because usually when I ask people, Do you record your meetings? They say yes, only some of them, and I don't do anything with the transcripts unless I happen to need something from them and I

**Bones Ijeoma — 27:56**
Right. Right.

**Josh — 27:57**
And so capture first, how can I get 80, 90% of the stuff that's happening, the important work conversations to be captured and recorded properly and stored somewhere centrally? And then we can move on to how do I process those so that if it's meeting minutes that need to come out in a certain format, if it's decisions that need to go in my knowledge base, whatever it is, right? Then I can move into doing something with that.

**Bones Ijeoma — 28:19**
Mm-hmm.

**Bones Ijeoma — 28:23**
Right. Yeah. Yeah. Absolutely. And that's our most popular workshop right now. The the workshop where we're helping people build these personal knowledge management systems. Because once you get the personal AI puzzle solved, you really start to have a thought partner, you know, a collaborative partner that you've built that has your context. So you can use that to level up.

**Bones Ijeoma — 28:51**
your business with a business use for AI. So I really think that mastery of the personal knowledge management is key. uh Using the the context from meetings and calendar invites and emails uh and uh making that available to collaborate with and to generate ideas from.

**Josh — 28:53**
Yeah.

**Josh — 29:14**
Yeah, I love that. And you know, I think kind of moving into the conclusion here of this of this of this uh episode, it's crazy to think like how much AI has changed in a year. Right? I mean, when we think about just like the last twelve months and just how much has moved, I think I think something that's surprising to me that I really couldn't have believed a year ago is that

**Bones Ijeoma — 29:16**
Yeah.

**Bones Ijeoma — 29:27**
Yeah.

**Bones Ijeoma — 29:29**
Sure.

**Josh — 29:38**
So much of what the tool industry kind of wants us to buy, and so much of the stuff that we've been paying for for so long, we're able to build a better version for ourselves. I mean, sometimes there's absolutely you're not going to cancel every piece of software you have. But I mean, you know, me, you know, I've worked in different size businesses, and right now I'm sort of back to being a solopreneur. And something that's crazy to me is that.

**Bones Ijeoma — 29:52**
Great.

**Bones Ijeoma — 29:55**
Sure, sure.

**Bones Ijeoma — 30:04**
Mm-hmm.

**Josh — 30:07**
The last time I was a solopreneur, I was so interested in every new software that was coming out in my industry so that I could get new functionality for my business and try new things and bring new fun new capabilities to my clients. And now like I don't even look. I don't even care. Like the types of tools I need for a business my size, they there's no reason I need to buy almost anything aside for, you know, for for access to these coding models.

**Bones Ijeoma — 30:18**
Hm.

**Bones Ijeoma — 30:25**
Yeah. Yeah, yeah.

**Josh — 30:37**
And even for my clients, most of what they need are really simple tools. And I think in this podcast, I think we're going to show you some examples of what this looks like for clients going forward. But I couldn't have imagined that.

**Bones Ijeoma — 30:37**
Mm-hmm.

**Bones Ijeoma — 30:43**
That's right.

**Bones Ijeoma — 30:52**
Absolutely. And and the other thing is, you know, what I've realized over the the last year is that AI is something that's very personal. Um, meaning that the way you and I use our AI systems, although we collaborate, we're we're constantly talking about it, they're also still very different, right? And because AI is non-deterministic, every

**Bones Ijeoma — 31:16**
question will get a slightly different response, right? Based on your own personal context, your own personal history. And I think that that is where we're going to start to see AI that's built and customized for you. I think some of the big uh people like OpenAI is is gonna come out with a device, right? We we we start we haven't really seen those personal AI devices, but that's on the horizon. Um and um it's really exciting.

**Josh — 31:46**
Yeah, it really is. Um so that's us, our first uh our first little exploration into building different. We uh we expect this to grow and evolve, but we uh we appreciate you coming along for the ride.

**Bones Ijeoma — 31:47**
Yeah. Yeah.

**Bones Ijeoma — 31:51**
Yeah.

**Bones Ijeoma — 32:04**
All right. That's good, man. All right. I think uh I think we I think we got a good uh good first time around. Let's let's hear let's hear it back. And um Rin, I'd love to see it just like edited and and I wanna watch it and just like take some notes along the way for um areas that we can improve.

**Josh — 32:06**
All right. Well now we get to now.

**Josh — 32:12**
Think we got eighty percent there.

**Josh — 32:17**
Yeah.

**Josh — 32:24**
Yeah. It and also yeah, I mean Mrin, it would also be interesting to literally just have you like just give us like a you know, just like tear it down based on like how other people travel between topics and what people talk about.

**Bones Ijeoma — 32:40**
Yes. Yeah, super important. Yep.