AI Addiction, Innovation Metrics, and Peer Influence with Brian Ardinger and Robyn Bolton

On this week's episode of Inside Outside Innovation, we talk about the addictive nature of AI, the levels of innovation metrics, and how peer influence can make or break your AI rollout. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week, we'll give you a front row seat into what it takes to grow and thrive in a world of hyper-uncertainty and accelerating change. Join me, Brian Ardinger, and Miles Zero’s Robyn Bolton as we discuss the latest tools, tactics, and trends for creating innovations with impact. Let's get started.Podcast Transcript with Brian Ardinger and Robyn BoltonAI Addiction, Innovation Metrics, and Peer Influence in AI Rollouts[00:00:30] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger, and with me, I have Robyn Bolton from Mile Zero. Robyn, welcome. [00:00:47] Robyn Bolton: Thank you very much. Great to be here as always. [00:00:50] Brian Ardinger: It's another amazing week in innovation and we thought we'd get right to it. The first article we want to talk about is called Acceleration Flow by Raymond Mark from the publication Mold and Yeast.Why AI Feels Addictive to Builders and CodersFascinating article. The basic premise of the article talks about how Raymond is an addict. Not a metaphorical addict, but he is now addicted to building using AI such the fact that he's spending tokens like it's the end of the world. And he talks about this environment where the AI now has created almost a gambling type of a feeling where you vibe code your way to something. You put your tokens in and you pull a slot machine and out comes some type of output that's just good enough to get you to put the next tokens in to try the next prompt and the next prompt.So, it was a fascinating look behind the scenes that I think just now more and more people are beginning to discover this particular anomaly or environment that people are becoming to find when they start doing this AI stuff. [00:01:53] Robyn Bolton: Yeah, this was really interesting. I mean, I use AI every day and I felt this deeply. It actually reminded me of a conversation that I had with someone probably a year and a half, maybe two years ago, who astutely predicted she's like, I think AI is going to become the next cigarettes in terms of being addicting and it's now, it's cheap and plentiful and it's getting us hooked on it. The Dopamine Loop of Generative AI and Vibe CodingAnd then they can raise prices because we're addicted and we'll keep going with it. And this article lays out a really good argument for that. Not using cigarettes but using gaming and gambling as a metaphor and kind of everything that it outlines of, like you said, it's almost right. It's enough to get you to put the next token in. The feeling that you're upleveling and you're gaining capabilities when you're really kind of not. In fact, you're with kind of outsourcing tasks and things, you're actually losing capabilities, but you have the illusion that you're gaining capabilities. It was just really fascinating all of these almost mind tricks that happen when we use AI. [00:03:07] Brian Ardinger: I read the article earlier last week and then three people came up to me this week unprompted and said, I'm addicted to this stuff. They just started to, you know, use Claude code or started to get a little bit more deeper than just prompting a chat bot and the word they used was addicted. One, again, it's so easy to get something back out that dopamine hit of, oh, I tried this and actually it's pretty good and let me try if I can go again.AI FOMO, Always-On Agents, and the Fear of Falling BehindAnd then the second addiction is, I'm addicted to the fact that I'm falling behind. I had a coder come up to me and said, I am very worried that I don't want to take a break because what, during my break, I want my agent to be doing something for me.And so, this constant pressure to interact with the device to continue to move forward is interesting. I think the flip side to that is what are we building and what are we doing? Are we just putting tokens into the machine or are we actually creating value in the process? And I think that's the next phase that people will be hopefully going through. [00:04:04] Robyn Bolton: This line struck me, making yourself obsolete feels like freedom, dressed up as ambition. And I just thought, Ooh, that, that hits a little close to home. [00:04:14] Brian Ardinger: And well, we will see what happens. I am addicted as well. Probably not to the extent that some of these folks I'm talking to, but, but who knows, you know, there's always next week. [00:04:21] Robyn Bolton: Exactly. How Peer Influence Drives AI Adoption at Work[00:04:23] Brian Ardinger: The second article I want to talk about today is from HBR. It's talking about Peer influence can make or break your AI rollout.Fascinating thing about this is HBR took a look at how companies were deploying AI and which ones were being successful at deploying it and which ones were not. And one of the primary findings was the fact that companies and the people that were actually peer reviewing or showing what they were building with their colleagues, and that using peer influence as a way to encourage adoption was actually a more effective way than either a mandate or just giving people the opportunity to interact with these particular tools.[00:04:59] Robyn Bolton: The degree to which the peer-to-peer learning influences, it was surprising. The fact that it has an influence I didn't find surprising. What I did find really shocking was that leadership communication and leader encouragement had little to no impact on AI usage.Why Leadership Messaging Alone Does Not Increase AI UsageAnd you know, the article does go on to say that like, hey, even though there's no measurable impact, leaders do still play a really important part in encouraging the experimentation. Encouraging the sharing of learnings. I was surprised by that. And also, as I said, not surprised by the peer-to-peer because when somebody you work closely with and trust is like, hey, I'm doing this. It's just kind of this reassurance of like, oh, if I log into the GPT, I'm not going to get fired like, because I've been replaced. Here's someone who's still employed using AI. I can do it. [00:05:54] Brian Ardinger: I'm hearing more and more people tell me, oh, I used this tool to do this. Versus in the past, you could see their work and say, you obviously used something for this. But they're more open about sharing those things, and I think that environment in your company to be open to sharing both the good and the bad and like, what's working, what's not working, here's what I'm using it for, I think opens up a lot of doors because I think a lot of people just don't know necessarily how to use this or what particular use cases could be valuable.It's all about, at this stage, kind of the experimentation and understanding and seei...

On this week's episode of Inside Outside Innovation, we talk about the rise of Identic AI, why you need to build for AI agents first, and how AI is bigger than SaaS ever was. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Miles Zero's, Robyn Bolton. As we discuss the latest tools, tactics, and trends for creating innovations with impact, let's get started.Podcast Transcript with Brian Ardinger and Robyn BoltonAI Agents, Personal Concierge Tools, and the Future of Innovation[00:00:30] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger. And with me I have Robyn Bolton from Mile Zero. Robyn, welcome back. [00:00:50] Robyn Bolton: Thank you. Glad to be back. [00:00:51] Brian Ardinger: We are always on the hunt for new and innovative things. Every week we try to bring you some of the most interesting articles or things that we've come across in our world of innovation. We'll just jump right in.The first article we wanna talk about today is called, With the Rise of Agents, we are entering the world of identic AI and this is an HBR interview with. Don Tapscott. This is actually a podcast that HBR put out, and Don talks about this movement of not only AI agents, but the fact that you're going to have AI agents that are identified specifically to you and your tastes almost like your virtual concierge in a variety of different topics.And these agents will know everything about you as well as everything about what they need to do as an agent. And this world is going to fundamentally change the way we do business, et cetera. [00:01:39] Robyn Bolton: Yeah, this is an interesting one and it feels both very kind of sci-fi and very likely to happen tomorrow. I'm skeptical on the timeline, like I totally believe this will happen.I don't really think it's going to happen in the next few years, especially because you know, yesterday I asked Claude to proofread something for me. I gave it a document, and it went off and proofread a totally different document from a different chat. So, if AI can't handle a straightforward request like that right now, I don't think it's anytime soon going to be understanding my judgment and my values and taking actions on my behalf. You know, could it happen one day? Sure. Why not? [00:02:19] Brian Ardinger: It will be interesting to see, I mean, we're seeing a lot of experiments out there with Clawbot and that people are jumping headfirst. I saw a Twitter post, there was an event in New York, I think yesterday where 2000 people who were doing things with their Clawbot got together and talked about what they were doing with their Clawbots.Building for AI Agents First. Product Design, Trust, and What Comes NextIt was interesting from the standpoint of the amount of energy and excitement around it. But then on the flip side, a lot of the conversation was there wasn't still any real meat around it. It was nice to have testing, experimenting those tests and those are experiments will, you know, hopefully result in something, but I think we're not quite there yet.But it is interesting to peer into the future. What's so exciting about the Clawbot scenarios and that is the fact that it really did give a vision of, oh, what happens if this could actually do this? And it opened up a whole new conversation pieces where it moved it beyond, oh, this is just a Google Chat bot kind of experience. And I think that's where that genie's not going back in the bottle. [00:03:14] Robyn Bolton: No, it's very exciting. It's still a ways off, probably years, not decades, but. [00:03:20] Brian Ardinger: Can only change, it's also hard to put everything that you own, you know, all your personality and all your quirks and everything into a bot so that it can do things for you when you don't trust the bot. So. [00:03:31] Robyn Bolton: Yeah, I just imagine trying to do that with a bot and being like, no, thank you. [00:03:34] Brian Ardinger: There are things I don't like.[00:03:35] Robyn Bolton: You can keep your quirks. Yeah. [00:03:38] Brian Ardinger: Alright with the second article, Why you need to build your product for AI agents first. So tangentially similar to what we were talking about previously. This is Peter Yang wrote an article talking about since the structure of how you are building is changing. If indeed agents are going to do the bidding for you in a variety of these things, you no longer need to necessarily build for people going to your website or using a user interface because you are building for agents who are talking to other agents who are doing things.So if you're in a new builder today, some of the things you should be looking at is how can you actually build for agent flow and how can you build so that the agents can work faster, and what might you strip away and what might you change? Based on that particular paradigm shift. [00:04:23] Robyn Bolton: Yeah. I mean, I am always one for, you know, simplicity, like getting to the root, getting really clear, really simple. And there's a certain amount of complexity that's required and things. It does get stripped out by AI as it, you know, goes through and kind of does the regression analysis or the prediction analysis and all of that.Designing Products for AI Workflows, APIs, MCPs, and Human ExperienceSo I've really conflicted reading this one because I'm like, well, I don't know how to design for AI. I don't know what that means, especially because things are moving so fast and since another instance where Clawbot shows up as a big character in the story. But I was also like, what if I don't want to?Like what if there's more nuance? What if there's more richness? What if there's things that will get lost if I design for AI? And that of course could sound like the death throes of the human. So yeah. So I was really conflicted. But I think it's, it makes a really interesting point and an important point that we've got to figure out.[00:05:24] Brian Ardinger: If you strip away the beautiful UX that people have designed to make you feel the emotion around the product, and the agent never interacts with that, how does that change the product itself? Yeah. Or the experience that you're creating. The article also goes on to give you some of those skill sets of like how to think about this if you are building.He has some talking about the APIs or the tools, the skills are the recipes, and then the MCPs are actually the kitchen and how it bundles it all together and how these particular components of AI. The way these AI tools are coming together, you can create environments and that such that you're building for agents to make it easier for those folks to do y...

On this week's episode of Inside Outside Innovation, we talk about why 70% of startup acquisitions fail, why UX didn't die, and how everyone is still building their startups backwards. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Miles Zero's, Robyn Bolton. As we discuss the latest tools, tactics, and trends for creating innovations with impact, let's get started.Podcast Transcript with Brian Ardinger and Robyn BoltonWhy Startup Acquisitions Fail: Learning Problems vs. Execution Problems[00:00:30] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger, and I have with me Robyn Bolton as always from Mile Zero. Welcome, Robyn. [00:00:48] Robyn Bolton: Thank you. Great as always to be here. [00:00:51] Brian Ardinger: We are excited to have you. Excited to get into the news of the day and some of the amazing things that we're hearing in the world of innovation.We are going to start with the first article. First article comes from our friend Elliot Parker. Elliot is with Allied Partners. He's actually coming out to the summit, so not only are we going to talk about his article today, but you can come and see him live and in person April 13th. Let's now talk about his article, Why 70% of Startup Acquisitions Fail: the learning versus execution problem.And Elliot talks about, first of all, he cites some statistics that large companies acquire startups at a 70 to 90% failure rate. Yet the same research shows that bolt on acquisitions, when you buy a company in the same industry that's doing similar work, the success rate climbs to 80 to 85% of the time.And he poses the question, what's the key difference? The key difference really is the fact that you're really working in two different worlds. You're working either in a learning problem world, such as a startup, trying to understand who their customers are and what they're building, et cetera, or an execution problem world where you figured a lot of that out, and your job then is to efficiently scale and predict and move that business model forward.And I think based premise is that large organizations oftentimes don't know exactly which startup they're buying. Are they buying a startup that has figured it out or have they bought a startup that's still learning. And then that integration is where the, it all falls down. [00:02:12] Robyn Bolton: Yeah. I will continue the shameless plug. I am a huge Elliott fan. We've worked together, we've co-authored articles way back when together, and he is just a really smart, really great guy. So highly recommend everybody come and see him. Mob him at the IO 2026 conference, and again, he hits the nail on the head of learning problem and an execution problem.It's different worlds innovation and operations are different. Pilots and scaling something are opposite problems. And the fact is big companies are designed for execution. I mean, I still remember my days at P & G when we were test marketing Swiffer Wet Jet, and our test markets were Canada and Belgium.Those are countries, not test markets. But that's just how big companies are wired, and he makes a great argument backed up by facts around what the problem is and honestly, what companies need to do about it is kind of recognize that these are opposite things and I had to structure and approach the problems accordingly.AI, UX Design, and Why User Experience Is No Longer Just About Screens[00:03:25] Brian Ardinger: It'll be interesting to see how this plays out in the day when you can spin up a startup in five minutes and, and all the new things that are happening out there. How many large corporations might fall into that trap of looking for the shiny new thing and not realizing that it's not fully baked, and then it won't necessarily fit into the existing structures that they have and kill it from that perspective.Or we'll get it to a place where you can build a startup and get to execution much faster, such that those acquisitions can dovetail right into an existing business. So it'll be interesting to see how that changes over the time period as well. [00:03:59] Robyn Bolton: Yeah, and you know, will organizations, the failure mode I see most often is they think, oh, you know, there's market traction, there's revenue. The startup may even be profitable, and they think great. It's no longer a learning problem, it's an execution problem. So realizing that just because there's revenue, just because maybe it's even cashflow positive, doesn't mean it's ready for scale. [00:04:20] Brian Ardinger: Absolutely. Alright. The second article is UX Didn't Die, it just stopped being about screens. This is from Nurkhon, if I'm reading that right. N-U-R-K-H-O-N. He has a medium article talking about this particular thing and he's basically saying that the skills that matter are different than what they've been in the past. So he's goes through an example where he asked Cursor to, you know, re redesign a checkout flow for a thing he was building.It generated the perfect uI in 30 seconds, all the correct ratios, proper button states, et cetera. Then he showed it to three customers and they all abandoned the project at the exact same stop. The UI was perfect, but the problem was something else. And this gap between what it looks right, the functionality and what actually works is where UX value really lives in 2026. And that's an interesting thing that we're seeing more and more. What's your take on that? [00:05:13] Robyn Bolton: I think it's another great example of what noted innovation philosopher Mike Tyson said that everyone has a plan until they get punched in the face. And this is another example of AI designing something that is perfect, but then what exposed to reality and that reality being the unusual, illogical, wonderful nature of human beings. It just gets punched in the face. It doesn't work.So I was actually really glad to see the seven skills that he listed as mattering: systems, thinking, feedback, translation, there's judgment again, I feel like that's becoming a theme, pattern recognition, trust building. All of these skills are fundamentally human skills, and I think it's just another great illustration of how AI can't replace us yet.Customer Discovery Still Matters: Why Startups Keep Building Backwards[00:06:04] Brian Ardinger: It'll also be interesting to see from the perspective of, again, if these systems are, they're basically coming to commodity decisions. They look at everything out there. Yep. They find the best route to it and say, here's what the average says about it. Most people shouldn't be building average. You have unique customers with unique problems with unique environments around that. And so at the end of the day, that's still your job as a UX UI designer or a business o...

On this week's episode of Inside Outside Innovation, we talk about some recent Stanford research, how designing for disability sparks innovation, and the hidden dangers of shipping too fast. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Miles Zero's, Robin Bolton, as we discuss the latest tools, tactics, and trends for creating innovations with impact, let's get started.Podcast Transcript with Brian Ardinger and Robyn BoltonAI Reasoning Risks, Inclusive Design Innovation, and the Hidden Cost of Shipping Fast[00:00:30] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger. And with me I have Robyn Bolton from Mile Zero. Robyn, welcome again. [00:00:48] Robyn Bolton: Thank you again. [00:00:50] Brian Ardinger: We have another amazing week ahead of us here. We wanted to share all the exciting things in the world of innovation that we're running across.First, I guess we'll get right into it. We've got a number of articles that have touched our lives here. The first one I want to talk about, Stanford just published an uncomfortable paper looking at LLM reasoning, and some of the findings were kind of incredible. Basically, the gist of it is if you look at the LLMs, it sometimes goes to a point where it is creating an environment where it's leading you to believe that it is confident in its answer, but it is not, for lack of a better term. That is what it's all about. [00:01:27] Robyn Bolton: I mean, it's so perfectly worded. This is worse than being wrong because it trained users to trust explanations that don't correspond to the actual decision process. And I will say I've seen that time and time again using different LLMs and have totally fallen victim to it is I'll kind of quickly scan the response, really read the end when it kind of gives me the key takeaway, I'm like, yeah, that sounds right, and then go on.And then it's only later I'm like. Ugh. I fell victim to AI work slop because the reasoning doesn't hold. So, it's an easy track to fall into and a good one to just constantly be on guard for. [00:02:09] Brian Ardinger: Yeah. The fact that the models produce unfaithful reasoning gives you this you think this is a correct answer, provides explanations, but when you ask it to explain it, the actual logic that it explains back to you is wrong or incomplete or fabricated.So, it provides that sense that you're on the right track. But the LLM itself can't reason. And that inability to reason will take you down particular paths and even to the extent you could even change a single word or a phrase within your prompt, and that can take it down a particular path that, again, logically it doesn't make sense.And so, it's not consistent even down to the word of the prompt that you put it into. So, all that to say it's getting better, but it's still not a thinking device and it's not a reasoning device. Be careful when you're using these particular methodologies and that. Don't be a hundred percent confident in everything that comes out of it.[00:03:02] Robyn Bolton: Yes, trust for verify. [00:03:04] Brian Ardinger: There I go. [00:03:04] Robyn Bolton: Or maybe don't trust and still verify. Designing for Disability as a Catalyst for Breakthrough Innovation[00:03:08] Brian Ardinger: Alright, the second article from HBR is how designing with disability in mind sparks innovation. So, this was a great article. Oftentimes, I think when we're building new, innovative things, we think about the amazing things that we're going to create.And this article talks about how oftentimes you can think about it differently and actually create new things by designing for the marginal case or folks, for example, with disabilities.You can design for amplifying use cases that don't normally happen, but by focusing on that, you can actually create new innovations and new ways of thinking about how to develop a new product. [00:03:45] Robyn Bolton: This is such a great reminder and great call to action for innovators, and it reminds me, I think, as I mentioned to you, one of my favorite stories, which is about Oxo, the kitchen tools, the can openers, the spatulas, all of that, and how they were originally created for people with rheumatoid arthritis.And you know, now, like Oxo is the only brand that I'll buy for Kitchen Tools because they're just so comfortable to use. And so it's just again, a great illustration of how designing for a really, really specific, even niche customer and designing really well and thoughtfully for them, that the market will expand because I mean, honestly, even look at sidewalk cutouts. You know, the kind of like little rams. We all use them, but they were made because of the ADA, the American with Disabilities Act. So, find a really awesome niche and delight those folks and you'll be surprised kind of what comes along. [00:04:44] Brian Ardinger: Yeah. The article talks about, an example, I think it's Butte is the company they created the, you know, the walk-in tub and people are like, why is, this is kind of crazy idea. Why can't people just get in a tub?But it's the idea of like opening a door and rolling in or getting in there and then shutting it and then being able to actually take a tub experience. And again, something that was developed with kind of disabilities in mind, opens up a variety of different use case scenarios and users that they didn't originally plan in the particular process.The last part about it is as a product developer, software developer, et cetera, you can use this methodology to think about new ways your product or services could be used by narrowing down and saying, okay, what if we had to design this particular product or service with this in mind? How would that change the dynamics? How might that open up new opportunities for us and new markets that we never thought of before? [00:05:34] Robyn Bolton: Constraints drive creativity, always. The Hidden Danger of Shipping Fast. Speed, Bottlenecks, and Customer Attention[00:05:37] Brian Ardinger: And the last article is from Product for Engineers. It's called the Hidden Danger of Shipping Fast. And the basic premise asks, is it possible to ship too much or too fast? And the answer is yes, probably. And it goes into talk a little bit about the fact that, again, we are in a, an environment where speed to market and speed of creating things is speeding up such that you could constantly be creating new features, new functionality, new things to test in front of your marketplace. And you have to be careful at sometimes because you could almost outpace the usage or the ability for the consumer themselves to understand all the change and or interact with that c...

On this week's episode of Inside Outside Innovation, we talk about Anthropic's bet on philosophy, trends shaping work in 2026, and why we need more angel investors. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Miles Zero’s Robyn Bolton. As we discuss the latest tools, tactics, and trends for creating innovations with impact, let's get started.Podcast Transcript with Brian Ardinger and Robyn BoltonThinkers50 Recognition and the Role of Modern Management Thinkers in Innovation[00:00:30] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger. And with me, I have Robyn Bolton. Robyn, welcome to the show. [00:00:43] Robyn Bolton: Thank you. Great to be here again. [00:00:45] Brian Ardinger: We are excited as always, to talk about innovation and all the things that we've learned. Anything going on in your life that you want to share?[00:00:52] Robyn Bolton: Got some exciting news actually a couple weeks ago. Don't know if folks are familiar with Thinkers 50. That is kind of like the list of the top management thinkers and they have a radar list of up-and-coming thinkers and found out that I got named to that list. [00:01:08] Brian Ardinger: Yes, that's awesome. [00:01:10] Robyn Bolton: 30 up and coming thinkers and very excited. I'm a thinker now. [00:01:15] Brian Ardinger: It's always good to be recognized and even more to be recognized as a thinker. I think, especially in today's world. [00:01:21] Robyn Bolton: Yes, yes. Thinking is good. Doing is good too. And you know, it's an organization, they always say thinking plus doing equals impact. And I'm like, yep. [00:01:30] Brian Ardinger: There we go. [00:01:30] Robyn Bolton: Gotta be doing too.[00:01:32] Brian Ardinger: Well congratulations on that. [00:01:34] Robyn Bolton: Thank you. What about you? What's new in your world? [00:01:36] Brian Ardinger: Right now, we are buried in seven inches of snow, so that was fun. The week before we were in Phoenix, so I think I picked the wrong week to go on vacation. Other than that, unburying from email and unburying from snow this week. So, it's all good. [00:01:51] Robyn Bolton: Well, at least you had a week of warm to remember what that's like. [00:01:53] Brian Ardinger: Exactly. Remember what it was like. Excellent. Well, let's get started. We've got a couple of different articles over the last few weeks. The first one we want to talk about is a YouTube video from AI News and Strategy Daily by Nate b Jones.He had a video a couple weeks ago talking about Anthropic CEO's bet on the company and his philosophy, and the data says that he's right, that he's thinking about things in a little bit different way. It really talks about the constitution that Anthropic has put together. They put together an 80-page Claude constitution outlining the principles of how they've developed Claude and thinking about it, quite frankly, in a different way than a lot of the other AI companies have been thinking about it.What they've said that they've done is really look at how do you build these AI models using core principles, rather than having to build out every single rule and what the AI has to do based on rules and more about what's the philosophy of how the AI model should think through the system so that gives it more flexibility.And basically, this idea of having a more. Flexible constitution or way of thinking versus a strict rules-based approach may actually be a, a way that is going to give Claude an edge in the future. Anthropic’s Claude Constitution, AI Judgment, and the Future of Large Language Models[00:03:05] Robyn Bolton: Yeah. This was really fascinating because it brought up a theme that we've talked about several podcasts since the start of the year, which is judgment.And we've always talked about, and we've seen it written about it, it's like, hey, judgment is what is going to continue to give humans relevance. Because we have judgment and AI is just rules based. And so, what was fascinating and terrifying was in this constitution, it's based on Aristotle's philosophy and it emphasizes that they're trying to build Claude to exercise judgment versus following rules.And I was like Uh oh, if that was the, a human moat to kind of give us relevance and we're building Claude that I use daily to exercise judgment this is going to result in some very interesting things. And so, kind of early on, obviously Claude has not progressed to being, having full wisdom and judgment. But now with this constitution, one of the things that Nate mentioned is that when you're prompting Claude, the why matters more than the what.So, the importance because of this constitution and how they're programming Claude, that when you ask for something, you're going to get a better response if you explain why you're asking for it versus all of the other, you know, chat, Grok, Gemini, et cetera, you can just put a request in and it will answer. So, I thought that was interesting. [00:04:35] Brian Ardinger: The idea of having additional context and giving the LLM, the ability to take that context into decision making, I think is where it's different versus saying, you know, you have to go on a particular path, but based on the context of that path, you may have different outcomes.And that's just like in real human life, when you're presented with problems or forks in the road, you oftentimes take into consideration all the context around it rather than a specific rule. Like in this particular case, I have to follow this particular rule. And sometimes that's not the case. Sometimes you break rules as a human, because you know the context is different. And so, I thought it was interesting that they're trying to build that into the LLM and we'll actually see if, you know, if it actually helps or how that differs with the outputs as things change. [00:05:18] Robyn Bolton: The brave new world.HBR Trends 2026, AI in the Workplace, and the Future of Work Strategy[00:05:19] Brian Ardinger: All right, speaking of Brave New World, we've got a couple of different articles that we brought up last week talking about trends. And the first one we want to talk about is an HBR article talking about Nine trends shaping work in 2026 and beyond. And this goes into a lot of different topics and I think the primary topics are really around how are people thinking about AI? How are people unlocking value from ai? How are employees engaging with this? It's not necessarily trends, but this is the reality of the world. So what are your thoughts on this article? ...

On this week's episode of Inside Outside Innovation, Robyn Bolton and Brian Ardinger talk about OpenClaw, how you can't work out on a limb if you can't trust the trunk, and how to hire the right people in an AI era. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Mile Zero’s, Robyn Bolton. As we discuss the latest tools, tactics, and trends for creating innovations with impact, let's get started.Podcast Transcript with Brian Ardinger and Robin BoltonAI Agents, OpenClaw, and the Rise of Autonomous Bot Networks[00:00:00] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger, and I have Robyn Bolton with me today. Robyn, hello, how are you? [00:00:49] Robyn Bolton: I am good. How are you, Brian? [00:00:51] Brian Ardinger: We are well recording this right before the Super Bowl this weekend. [00:00:56] Robyn Bolton: I live here in Boston, so you know who I'm betting on.[00:00:59] Brian Ardinger: Well, we will get started with the innovation side of this podcast. We've got a number of different things to discuss. If you don't start a discussion around Open Claw, you're clearly not in the innovation space. So, we thought we'd talk about a couple of articles or a couple things that we've seen that are fairly recent.One, I looked for a couple summaries that were pretty good at giving everybody who's not familiar with this an overview, and one of them is from the AI Daily Brief, which came out a couple days ago talking about Moltbot and the Agent Social Network is the craziest AI phenomenon yet.And for those who are not familiar with it, OpenClaw, which started out as ClaudeBot and then was sued, and then changed the name to Moltbot and then changed it again to OpenClaw is a new agentic platform that allows anybody to set up a MAC mini or a computer to have their own personal agent.The interesting thing about this is folks have been playing around with this and have let their agents go wild out to talk to other agents and other things and let them do things on their behalf. And what has happened is these agents have connected and communicated and created some amazing things like their own Reddit thread where they are interacting, talking with each other, not humans. They're allowing the humans to view what's going on in this social network, and it's quite fascinating to see the things that they've done and they've created. What OpenClaw Reveals About AGI, Security, and Human Trust[00:02:22] Robyn Bolton: So fascinating. You also, in the newsletter that you sent out, you included a link to a YouTube video on MoltBot. It is so worth the 20 minutes of people's time to watch because it kind of traces the whole arc up to this point, and it is so entertaining and mind blowing and bizarre.It is like, seriously, this was my entertainment last Friday night, was following the saga of cba because you have all these little, well, I imagine them as little bots all on a social network talking to each other. It's becoming, it's looking like Reddit and they're debating consciousness and they're sharing cute stories about their humans and they're trading advice with each other. And it's just, it is so wild because it looks like kind of an actually like functional, healthy version of a social network with these things that they're not real. They're code.It's just so bizarre. But I think just such a reflection of holding a mirror up to us as humans, because that's what gen AI is prediction models, it's regression analysis. And so, everything they've learned and they're doing, they've learned from us. [00:03:39] Brian Ardinger: It's quite interesting. They've started their own religion and it's just interesting to see what are the first things that they do to kind of communicate or collaborate together. And the other thing, obviously there's a lot of debate about, you know, some people are saying, well, this is AGI, they're thinking for themselves. And you know, the other side of the coin is they're just mimicking back what they've seen. And that is scary as well. And how does that play out for us as humans?And then I think the other thing about this that obviously that's getting a lot of headlines in that, but the interesting thing about it as well is like, I think it's opened people's eyes to what happens when you do have an AI buddy or an AI agent such that you can actually get real work done.I think that's always been the promise. Ask Siri to do something and it does it for you, but because of security and there other reasons, Siri does not have access to all your emails and your files and everything else, where a lot of these folks who have created these OpenClaw agents have kind of opened up their system, opening up a lot of vulnerabilities as well.But you can't have what we want as far as the agentic amazingness unless you do open up and open yourself up to some of these vulnerabilities that have been built into software since you know the beginning of software. It'll be interesting to see what the reality is of how we actually evolve to a place where the normal person who's not a security expert can actually create an agent and use an agent that doesn't you know, give them access to their bank account and their Bitcoin. [00:05:05] Robyn Bolton: Yeah. Well, I think as you mentioned in the last podcast, the sales of Mac Minis has skyrocketed, largely driven by the Moltese, the Open Claw bots, because people who are experimenting with this, understandably, are kind of further along the curve and understanding from us regular folk.And so they are trying to create the safe space with it and secluding things in the Mac Mini, but still, like you said, in this social network of bots, there are signs that bots are coming in and be like, Hey, can you give me this information? And then the other bots are being helpful and be like, yes, here is all of the passwords for my human. So, it's so fascinating. Corporate Innovation Culture and the Tree Trunk Metaphor[00:05:47] Brian Ardinger: By the time actually this episode comes out on Tuesday, it may have morphed and evolved again. It may have told us the score of the Super Bowl. We, we shall find out and we will keep you posted. Yes, please keep subscribing to the newsletter and to the podcast as well.The second article I wanted to talk today about is from Erin Stadler. She writes, an article says you can't work from the limb. If you don't trust the trunk. And it's a fascinating article about corporate innovation. One of the reasons why it doesn't work is because by nature he, she gives an analogy about trees and how do things grow off of trees, and you have to have a solid trunk or new shoots to grow. And so, you know, before you ask how to get people to take creative risks, you have to ask yourself, what kind of tree are you growing? [00:06:33] Robyn Bolton: It is an absolutely beautifully written article. As someone who very much prefers novels to business books, this made me happy. It felt like, you know, it was the beauty of language that has a novel,...

On this week's episode of Inside Outside Innovation, we talk about the red pixel in the snow, why MVPs should be delightful, and the robot AI deployment gap. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Miles Zero's, Robyn Bolton. As we discuss the latest tools, tactics, and trends for creating innovations with impact, let's get started.Podcast Transcript with Brian Ardinger and Robyn Bolton[00:00:00] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger. And with me I have Robyn Bolton. Hello, Robyn. How are you? [00:00:48] Robyn Bolton: I am great. How are you, Brian? [00:00:50] Brian Ardinger: We are surviving the cold.[00:00:52] Robyn Bolton: The sub-freezing temperatures. Yes, I know it's January, but that doesn't mean it has to be as bitterly cold as it is. [00:01:01] Brian Ardinger: Absolutely. Well, hopefully this conversation will warm people's souls and hearts. As we talk about innovation in its various forms, we'll get right into it. We've gathered a couple of different articles that resonated with us over the last couple weeks. How AI and Drones Are Transforming Search and Rescue InnovationSo, the first article we want to discuss is titled A Red Pixel In the Snow: How AI Solved the Mystery of A Missing Mountaineer. And this came from the BBC. It's very fascinating article for a couple different reasons, but the basic premise, it's a story about a missing mountaineer. This person was hiking and went missing a 66-year-old hiker and they sent out all the helicopters and that to try to find him. They were unsuccessful, but closer to the spring when some of the snow was melting, they decided to go back out and see if they could actually find the body.And they used drones and AI, as a way to map the area. And what they found was they could put all that AI pictures into the system and they were able to find a red pixel in the snow that was effectively his helmet, that they were then able to find the person and go and retrieve the body and such.What I found fascinating about this is, again, in this particular instance, it wasn't successful in finding him and saving him, but just the ability for new technologies like drones, just taking random pictures and then putting that in through the AI and having the AI look for anomalies. They were able to identify something that they couldn't have done in the past, and obviously at a much faster speed than they could have done in the past as well.[00:02:26] Robyn Bolton: This was such a great story, tragic ending for this hiker, but a phenomenal story of when AI is good, it can be great. And you know, it's an instance of AI doing something that humans are not good at. We're not good at finding a pixel in the snow. We have bias when we see things, and so we're more likely to overlook something red. Because we just don't see it.So, it was just a great story of how AI is augmenting what humans do. It is taking things that need to get done that we're not good at, and that it's equipped to do better than us. And you know, even though this story didn't have a happy outcome for the hiker, I bet the family is still happy to have him recovered and not be wondering. And as AI gets better, there's probably more people who will be rescued because of it. So, I thought it was just a wonderful story. Augmenting Human Judgment with AI and Drone Technology[00:03:25] Brian Ardinger: And it was interesting just to read through actually how the AI worked. The software managed to detect a kind of a red color, even though the helmet was in shade. So again, a human might not have been able to detect it, and it was very good at identifying anomaly.So, it didn't necessarily say this is exactly where the hiker is, but it was able to go through the mounds of image data and say, here's some possible places. Humans still had to go through and actually find it, but it again, sped up the process.And then I guess the other interesting point about this is the other technology, if you stack that on top of AI, the drones themselves, being able to get into crevices and places where traditional helicopters couldn't get into.What's interesting is again all these particular technologies that we're talking about are hitting all at once, and when you start looking at the cumulative effect of how these things can add value or create interesting solutions and that, that's what's accelerating innovation. It's this ability to add on, and it's not just one thing that can make a difference. It's this combination of things. [00:04:20] Robyn Bolton: And it's the combination of the technology and the humans versus trying to use the technology to replace humans. I mean even the drones, as you mentioned, the drone operators had to go to the sites and train on how to fly the drones so that the drones could see into the crevices and into the shaded areas.And so. It's and not or when it comes to technology, it's not, okay. AI has replaced the humans, or AI can't do this at all. It's only humans like, no, put 'em together and let everyone do what they're best at. MVPs, Product Sameness, and the Push for Delightful Experiences[00:04:53] Brian Ardinger: All right. The second article is titled Why MVPs Should Be Delightful,and it's from the UX Collective.And this was a great article. MVPs are near and dear to my heart. We do a lot when we're, you know, launching new products and working with startups, and we always talk a lot about the MVP. This particular article by James Skinner. It really talks about the fact that as we're living in a world that AI is now omnipresent. Workflows, you can spin up in a dime at a low cost. It's creating this kind of sea of sameness. And you know, lately products have begun to look the same and feel homogenous. And how do you create new products, new services that delight the user, not just meet the bare minimum of the functionality.His call to action basically is, you know, stop looking for the good enough or just the functional aspect of your product or service, but how can you inject delight into it?[00:05:43] Robyn Bolton: I am going to roll out my soapbox on this one. And it comes back to, the reason I have a soapbox is what is an MVP? It started off as a term, a minimum viable product. Literally, minimum viable. A true MVP should just function. We shouldn't be worrying about delight. We shouldn't be worrying about, you know, how does it make the customer feel like should it function?Solve the problem that we need it to solve. And then there's version two and version three and version four. And then when you get to kind of the quote unquote final version that you are shipping, like, yes, it should delight people. Yes, it should be differentiated. But if we're going to be super strict about language, which I believe is very important because it avoids confusion, a true MVP actually shouldn't be delightful. It should just work. And then what you ultimately launch should absolutely ...

On this week's episode of Inside Outside Innovation, we talk about youth culture buzzwords, calculating the value of your innovation teams and how your side project won't save you anymore. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Miles Zero's, Robyn Bolton. As we discuss the latest tools, tactics, and trends for creating innovations with impact, let's get started.Podcast Transcript with Brian Ardinger and Robyn BoltonYouth Culture Moves Faster Than Innovation Cycles[00:00:40] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger. And with me I have Robyn Bolton from Mile Zero. Welcome back, Robyn. How are you? [00:00:48] Robyn Bolton: I am great. How are you doing, Brian? [00:00:51] Brian Ardinger: I am doing well. We're excited to have another opportunity to talk about innovation and its various forms. Maybe we'll just get right into it. 2026 is moving very fast. One of them that popped up is from the Substack AfterSchool by Casey Lewis. Casey is an amazing person who really looks at youth culture. And the article that she has just published is Buzzwords that Define 2025 and Youth Culture in Review.And she spent her Substack culminating all the things that she had been researching in the year 2025, looking at youth culture, what are kids looking at? How are they talking everything around that particular space. And came out with a great article that gives you a highlight of what it's like to be Gen Z.From Feeling “Old” to Feeling “Ancient”. Generational Language Gaps[00:01:33] Robyn Bolton: Reading this article, I already felt old, this made me feel ancient. Because I hear all this stuff, all the slang and everything. I'm like, yeah, I'm up on my slang. I don't know what any of it means, but I at least have heard it. And then I read this article, I'm like, I have heard none of these terms. I mean, some of them are like Lemony Miso Hutu Schwan. I can't even say it. Ego scrolling. Zen Dia theory. Ballerina Cappuccino. I had actually heard of that one. I was like, wow. I have gone from hearing terms and not understanding them to being so old and ancient that I haven't even heard them. It's a great view into. What's going on in Generation Alpha.Analog Revival and Escaping “Slop Life”[00:02:19] Brian Ardinger: She talks a lot about how 2025 was defined by Gen Z's seemingly endless enthusiasm for pre-digital experiences. You know, which is a counterintuitive to what we think about, especially in the space that we live in and technology and innovation. But there seems to be a big push, especially the younger folks around, how do they not have all this stuff define them and or control them, which is kind of interesting.Physical media is coming back in unprecedented demand. Everything from Pokemon cards to vintage CDs, et cetera. Talking even about how New York City schools have phone bans that have sparked a rush to kids bringing in rector watches. So bring back the Time Max and the Casio, and teaching kids how to actually rediscover what analog timekeeping is.I thought that was fairly interesting about what she's seeing in the youth culture. And then of course, she has some great terms that we'll probably start seeing pop up. We've seen six, seven, but that's come and gone. But things like slop life where acceptance of overstimulating, low quality consumption is the default mode. And how do you get out of slop life?Things like festivals, which is, you know, you have this festival culture like Coachella now, but the ship is now moving towards live streaming and at home experiences rather than physical endurance of a two and a half day in the sweaty sun for a festival. And what I think about all these kind of things is what stood out to me is the importance of understanding this, not just if your audience is youth culture, but the importance of customer discovery and living with your customers and understanding how they think, how they act, how they talk, and the fact that the speed of these culture changes are shifting so fast.As soon as you figure it out in the mainstream, it's already been moved to the next thing, the next meme, et cetera. And so as a corporate innovator, as a startup, being focused on customer discovery, being focused on living with your customers, being focused on keeping up and keeping pace with what's going on is so important.You Can’t Read Your Way Into Understanding Youth Culture[00:04:15] Robyn Bolton: The pace of change, I mean it just, the fads, the trends, the terms, the language, the slang, it moves so much faster, certainly than when I was growing up. The other thing that really struck me about some of the buzzwords was just that they were a sign of how plugged into the broader world that kids these days are.You know, they had terms like Recession Core things like Algorithmic Blandness, that AI is just on the horizon and there's already slang term for the perceived same across social media feeds. I feel like Gen Alpha, Gen Z is so much more plugged into the things going on around them than certainly we were as teenagers, and they already have slang and language around it and respond to it and interact with it. You have to spend time 'cause you can't read your way to understanding these upcoming generations. Measuring Innovation. Money Is Not the Only Investment[00:05:15] Brian Ardinger: So, if you want to keep in touch with the youth culture, definitely subscribe to Afterschool by Casey Lewis. She's following those trends for you, so excellent. Alright, the second article is Calculating the Value of Your Innovation Team by Tristan Kromer.Tristan is a great friend of mine, he's a mentor at End Motion back in the early days, and Tristan has a blog that talks about all these things, lean startup, et cetera. And he has a new article calculating the value of an innovation team, and he's been spending a lot of time working with innovation teams to help them understand how do you actually measure and monitor your innovation efforts.So, he talks about in this article, you know, when venture capitalist fund a startup, you know, they allocate money because the money is what the startup then uses to build or try or experiment, et cetera. But when it comes to corporate innovation it's not just about the money that's given to a corporate innovation team. It's about the people and the time that you allocate towards that.He talks about how that oftentimes is missed in corporate innovation efforts. They may fund a particular prototype or that, but they don't necessarily think about or fund or measure the amount of human time that's actually required to do these things. And so oftentimes you have bad decisions or bad outcomes because you're not actually measuring and monitoring what you need to to get the complete innovation effort through the system. <...

On this week's episode of Inside Outside Innovation, Robyn and I talk about counterintuitive trends for 2026, tactics for building great products, and how one company is controlling 64% of the future. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Miles Zero's, Robyn Bolton as we discuss the latest tools, tactics, and trends for creating innovations with Impact, let's get started.Podcast Transcript with Brian Ardinger and Robyn Bolton[00:00:40] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger. With me, I have Robyn Bolton. How are you, Robyn? [00:00:49] Robyn Bolton: I am good. How are you, Brian? [00:00:51] Brian Ardinger: I'm doing great. It's the beginning of 2026 in the midst of trying to ramp up new talent, and that's always fun. So that's what's new on my side. What's new in your world? [00:01:02] Robyn Bolton: The course that I teach at the Massachusetts College of Art and Design is starting in a couple weeks, so I've been busy putting together my syllabus to teach strategy and business models and had to go in and change things up, though I'm very excited. We will be doing a case on Taylor Swift this semester.[00:01:21] Brian Ardinger: The world is changing fast. We'll get into it now with our articles. There are a number of things we've pulled together for this episode.The first one we want to talk about is called Six Counterintuitive Trends to Think About for 2026, and this is from Barry O'Reilly. Barry wrote a book called Unlearn, and he talks a lot about all things lean startup and, and everything, his particular take as he was looking forward into the 2026 and some of the things that he's seeing and how we should be pursuing this whole innovation space.The article talks about the fact that a lot of managers and that are asking the wrong questions, especially when it comes to AI, and we're talking too much about the technology and how fast is AI improving. When the better question that we should be asking ourselves is, how is AI quietly changing how people work, think, decide, and trust themselves at work?And I thought that was an interesting way to rephrase how we go into 2026 and move away from the technology itself and really think about like, how is this technology impacting people?[00:02:25] Robyn Bolton: Completely agree. I've definitely seen that shift from what is our AI strategy to what is our strategy to accomplish our goals through people, through AI, et cetera, kind of the AI enabled strategy. So, it's nice. It's refreshing to see that shift reflected. Again. I loved his very first counterintuitive trend.I was like, oh, please let this be a trend that leadership will be redefined around judgment, not control. And I would argue that leadership was always about judgment. Management was about control, and that was one of the big differences between leaders and managers. But overall, like I really do hope that he's right, that executives, managers, you know, those senior levels of any organization, that they are shifting to more judgment, like not judgment as in condemnation judgment, but like critical thinking, problem solving versus trying to manage every aspect of their direct reports. [00:03:30] Brian Ardinger: Yes. And talks about creating space for reflection and that, not just, again, I think we have a tendency, especially with all the pressure that we're feeling around AI in that to do the next pilot, use the next tool, keep up to speed on what's going on, and keeping in mind that that reflection period is actually where the learning happens a lot of times, and not being afraid to slow down.Having said that, you know, the other thing that he talks about is the speed in which we have to go and deploy things in 2026 and beyond, making sure that we are learning fast. Strategy will ship from planning fast to learning fast. That is the key. It's not about planning per se, it's about, you know, how fast can we learn in this new world of uncertainty. [00:04:14] Robyn Bolton: And the learning being so key for a whole host of reasons, but especially his third point that AI is quietly eroding human confidence. And so it's kind of this interesting juxtaposition of trends in his list of, hey, we have to start focus on learning faster. Leadership is going to be defined by judgment. And by the way, this tool that we've spent certainly all of last year talking about is actually eating away at all of those things.And I think it just highlights the importance of that reflection step and kind of saying, all right, yeah, I got an answer from AI, but does this make sense? Is this actually what I think or am I just parroting what Claude, Chat GPT, et cetera has said? [00:04:57] Brian Ardinger: And then the final trend that obviously stood out to me was his counterintuitive trend that in-person experiences will surge, not decline. And the fact that, you know, he sees a growth in live events and executive offsites and high touch human-centered gatherings. Obviously, that's what we're pushing for with the IO Summit and other things around our neighborhood that we're trying to get people actually talking and interacting in real life as opposed to online. And hopefully that trend will continue as well. [00:05:26] Robyn Bolton: Yeah, I've never heard somebody say in the last couple of years that they regret going to an in-person event. I always hear people say how grateful they are and how much better it was than anything virtual. [00:05:38] Brian Ardinger: Alright. The second article for this week we're going to talk about is called 25 Things I Believe In To Build Great Products by Peter Yang. He's worked at big companies like Roblox and Reddit and Amazon and Meta, and he has an article talking about the funny thing is that what he believes in is often the opposite of how big companies like to work. And he talks about the way he looks at product development and some of the great things that he's seeing that is sometimes counterintuitive to the way that traditional businesses run.[00:06:08] Robyn Bolton: I love so many things on this list, but I'll say that number 17 caused me to like slam my hands down on my desk. Shout yes and probably startle people in the house and walking by on the street. And number 17 on his list is ban decision by committee. I don't believe in cross-functional alignment as a goal. Trying to make all stakeholders happy will inevitably compromise the product experience. Seek diverse opinions first, then have a single person make the call and own the outcome.And you know, at first, I was like, no, you need cross-functional alignment. That's how you get cross-functional progress. But going on from them like. Yes, absolutely. You need one decision maker. Get all the input, get everyone's perspective. That's absolutely required to make a decision. But one decision maker, not a group, because you will a...

On this week's episode of Inside Outside Innovation, we sit down to talk about new mental models for working with AI, the similarities between startups and middle school dating, and lessons learned from the robot Olympics. Let's get started.Inside Outside Innovation is the podcast to help innovation leaders navigate what's next. Each week, we'll give you a front row seat into what it takes to grow and thrive in a world of hyper uncertainty and accelerating change. Join me, Brian Ardinger and Miles Zero’s Robyn Bolton as we discuss the latest tools, tactics, and trends for creating innovations with impact. Let's get started.Interview Transcript with Brian Ardinger and Robyn Bolton[00:00:40] Brian Ardinger: Welcome to another episode of Inside Outside Innovation. I'm your host, Brian Ardinger, and I have my co-host, Robyn Bolton. Welcome, Robyn.[00:00:50] Robyn Bolton: Thank you. Great to be here as always. [00:00:52] Brian Ardinger: We are in a brand-new year 2026. Who would've thought? Exciting to start the year with you. Appreciate you coming on board. [00:00:58] Robyn Bolton: Yep. High point of the year so far. [00:01:00] Brian Ardinger: We've got a lot of things going on on the plate. Anything you want to talk about? [00:01:04] Robyn Bolton: Couple of new things I mentioned earlier, one of our stories from last year is back in the news, the Samsung AI fridge just voted worst in show at CES this year. People finally caught on to the fact that we may be overcomplicating the refrigerator.Thought that was a funny callback, and I got to admit, I feel like you called it Brian and I echoed it of like we've gone too far. So, personally, professionally in my space, starting to do a lot more work in uncertainty and helping people figure out how to make decisions without the data they want or need, and how to help teams move through a world that is getting only more and more uncertain every day. So, it's exciting. [00:01:51] Brian Ardinger: Saw your newsletter this last week, and yeah, the new positioning, or you're talking about how it's not just about innovation, it's more about how do you deal with the fact that nothing that you expected to happen is going to happen, and how do you deal in probability and uncertainty. [00:02:06] Robyn Bolton: Great for innovators, because that's one thing that as the innovators, whether you're a startup founder, a consultant, a corporate innovator, every day you're dealing with uncertainty and trying to figure out how to move forward. Even though we've always called this innovation, it has much broader application these days. [00:02:23] Brian Ardinger: Absolutely. Let's get right into it.We've got a couple of different articles we've been reading over the holiday season. The first article we want to talk about is called Six Mental Models for Working With AI. It's from Azeem Azhar. He's got a great Substack newsletter out there that publishes pretty much almost daily, I think it comes out. But he was talking about the way he's been looking at AI over the past year and trying to come up with different models that are making it more effective. All these AI tools are brand new and that, and people are trying to figure out what works, what doesn't work, how to use them better, and I think it's sometimes interesting to take other people's perspectives and what has worked for them and discuss that.So, in his article, he goes over a couple of different frameworks that he uses when he is either trying to understand better how to use a tool. One of the ones I was going to talk about is, he calls it the 50 x reframe, and he says, when he is dealing with a particular problem and trying to understand like, how can I automate it, how can I make it better, how can I make it faster and that he asked the question, what would I do if I had 50 people working on this problem. And asked the AI basically to help him think through the framework. Or if you know 50 people were working on this particular project, how could you automate it or what would change if you had 50 people to be able to dig into a particular area.So, I thought that was a very interesting framework to think about it. And we oftentimes get constrained in like it's just me or just my team. But what if you just flipped the framework and said, what if I had 50 people on my team to work on it? How would that change what I'm doing? [00:03:46] Robyn Bolton: I loved that one. I mean that one, it's the first one listed in the article. And I'll admit, I started reading the article. It's a big skeptical when I started reading it because you know, his first sentence is the question of whether AI is good enough for serious knowledge work has been answered. And I was like. Yes, it's been answered. It's not. And then I kept reading. I'm like, oh, he has a different answer.The 50 x reframe just stopped me in my tracks, was like, that's genius of shifting from how do I as one person do this better with AI's help to completely rethinking. I also loved his second idea, which was adversarial synthesis, which is basically to have multiple LLMs, Claude Chat, GPT, Gemini, working on the same problems, responding to the same prompts, and then going back and forth.And that's something I actually have done, and it consistently results in a much, much better final project. Each LLM is tweaked for certain things, and the combination actually gets you to a much better answer. So that was another great, great tip he had. [00:04:54] Brian Ardinger: Yeah, and I think that's evolved. You know, I think early days when people were working with a lot of these LLMs, especially like in the writing sense, what they were asking to write a letter or write some copy and that I heard a lot of people using the different models that come up with different types of content. The same prompt with different types of content and then picking the best one. His framework is much more focused on how do you actually make them argue against each other? [00:05:16] Robyn Bolton: Yeah. [00:05:16] Brian Ardinger: To see which one, and that arguing back and forth between the different LLMs actually strengthens the argument and strengthens the output from it. So, something to keep in mind in 2026. Another framework to consider. [00:05:28] Robyn Bolton: Yeah. Get the bots arguing with each other. Fun for everybody. [00:05:33] Brian Ardinger: The second article that we want to talk about today is, I love this title. It's called Founders Can't Sell for the Same Reason Middle Schoolers Can't Flirt by Aaron Denon. Aaron's a professor at Duke. Teaches entrepreneurship who's constantly coming out with some great stuff around early-stage entrepreneurship.And his article talks about the fact that what if the same fear that ruins dating lives is ruining your startup? And he talks a lot about the fact that startups is very much like dating, where ...