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When we first dicsussed the Summer of Simulative AI in 2024 we knew it would be a brief summer, but it has recently come back with a vengeance with SimGym in April and now Simile AI's $2B Series B, backed by GreenOaks and Index Ventures with prominent backers like Fei-Fei Li and Andrej Karpathy, running tens of millions of simulations for Fortune 100 clients like CVS and 85–99% accuracy vs human focus groups. Time to catch up on why this Second Summer of simulation is working!From creating Smallville, the landmark 2023 paper on Generative Agents that showed AI characters could remember, plan, socialize, and develop emergent behaviors, to now building foundation models of human behavior, Joon Sung Park is trying to answer a much bigger question: what if we could simulate the world before making decisions in it? In this episode, the Simile co-founder and CEO joins us to unpack the path from generative agents to digital twins, why today's frontier models still fail to capture how humans actually behave, and what it would take to eventually simulate all 8 billion people on Earth.We go deep on Simile's approach to modeling human behavior: long-form interviews, observational and transaction data, randomized controlled trials, population-level and individual-level models, and post-training on the causal mechanisms behind why people make decisions. Joon explains how his research created digital twins that reproduced human behavior and attitudes 85% as accurately as people reproduced their own responses, why models optimized to be rational can be bad simulations of irrational humans, and why understanding “social physics” may require changing model weights rather than simply prompting frontier LLMs.We also explore the much larger ambition behind simulation: testing products and policies before deploying them, finding counterintuitive paths toward desired outcomes, modeling emergent behavior across entire societies, and potentially tackling problems like climate change, democratic instability, and UBI. Joon reflects on scaling laws for simulation, the economics of data-center-scale simulated worlds, the connection to Thomas Schelling and psychohistory, why simulation is surprisingly similar to painting, and whether we might already be living in one.We discuss:* How Smallville and Generative Agents led to Simile* Why Joon's team asked: “What if we can just recreate the world that we live in?”* Why useful personal agents require deep models of their users* Memory architectures, Markdown files, and the limits of prompting* “Social physics” and behavioral foundation models* Why web data captures what people say more than what they actually do* Interviews, transactions, observational data, and randomized controlled trials* Why predicting the future matters less than understanding how to shape it* How Simile creates representative simulated populations* Simulation versus prediction and the connection to Foundation's psychohistory* How to evaluate simulations instead of simply stacking LLM hallucinations* Creating digital twins of 1,000 real people and reaching 85% behavioral accuracy* Why frontier models can struggle to reproduce real human behavior* Why good simulations need to reproduce human biases and mistakes* Post-training models on randomized controlled trials* Population-level versus individual-level simulation* Scaling laws for human simulation* The long-term ambition to simulate all 8 billion people on Earth* Whether simulations could help solve climate change or detect collapsing democracy* Thomas Schelling and the history of agent-based modeling* Why future simulations could require an entire data center* Multi-agent simulations and what happens when simulated people interact* Replacing expensive human panels with synthetic populations* Why market research is only the starting point for simulation* Why Joon sees simulation as surprisingly similar to painting* Using simulation to study questions like UBI* Whether we are already living in a simulation* Why AGI and simulation may be the twin technologies of advanced civilizationsJoon Sung Park* LinkedIn: https://www.linkedin.com/in/joonspark* X: https://x.com/joon_s_pk* Website: https://www.joonsungpark.com* Simile: https://www.simile.comTimestamps00:00:00 Introduction and Joon's Path from Art to AI00:01:46 Smallville, Generative Agents, and the Origins of Simulation00:05:03 “Let's Just Create a World” and the Future of Personal Agents00:09:53 Social Physics and Behavioral Foundation Models00:14:08 Prediction vs. Simulation: How Do You Shape the Future?00:16:59 How Simile Models Real People and Populations00:25:35 Evaluating Simulations, Digital Twins, and 85% Accuracy00:30:23 Post-Training Models to Reproduce Human Behavior00:40:04 Scaling Laws and Simulating 8 Billion People00:43:10 From Schelling to Society-Scale Agent Simulations00:46:13 The Cost and Economics of Simulating the World00:52:05 Real-World Use Cases, Synthetic Populations, and the Market00:57:27 The Future of Simulation, Painting, and UBI01:04:23 Are We Already Living in a Simulation?01:06:08 Building Simile and HiringTranscriptIntroduction: Joon Sung Park, Simile, and the Story So FarVibhu [00:00:00]: Today, we have Joon in the podcast. Excited to kick this one off. Very exciting company. I wanna kick off and ask you the question, talk us through the story of your life. How have you gotten here?Joon [00:00:13]: Yeah, for sure. I'm really excited to be here. A story of my life. So I was born in Korea, and I lived there for a good 11 years or so of my life, and then my family moved to Boston. So we moved when I was 11, and my parents were doctors, so they were going through their postdoctoral studies. My dad was a surgeon, so he was doing his sabbatical years at the Boston Children's Hospital. So I grew up there, not too close to tech. I was very much a music and artsy, painting kind of guy.Vibhu [00:00:49]: Painting.Joon [00:00:49]: Exactly. I got into painting a little bit later, in high school, but that's what I used to do. And then I grew up mostly in the East Coast after Korea. So I lived a good number of years in New Hampshire, and then I went to college in Pennsylvania. And I got into more of this tech scene, in college. So I was originally trained to be an artist. I thought that would be my professional career. So it wasn't a hobby. It was like, “Hey, let's make a living out of this.” And then gradually, I got really interested in this idea of, hey, the greatest artist often creates their own medium, and the best medium that we had available today was in computation. So I decided to go deeper into that, and one thing led to another, and we can go deeper into this, but I decided that research was something that I gradually got interested in, and here I am.Smallville, Generative Agents, and the 2023 Breakout PaperSwyx [00:01:46]: So there's a lot that you packed into the research components. You had one of the best papers of 2023, which was the generative agents paper, commonly known as the Smallville paper.Swyx [00:01:58]: Feel free to call back to anything else that you mentioned, but most people would have heard of you from this. Do you have any statistics on how many people have, like, read it? arXiv gives you something, right? Some stats.Joon [00:02:10]: Yeah, it's a good question. How many people have read it, I'm not sure.Joon [00:02:14]: I know we do keep track of citations, and they are going up quite fast.Swyx [00:02:23]: Yeah, Google Scholar has 7,200 citations.Vibhu [00:02:25]: I feel like it made a bigger hit than that, and it was a pretty instrumental paper. It got cited so many times.Swyx [00:02:34]: It is frequently the answer when people ask, “What is the best paper you've read recently?” It's this one.Vibhu [00:02:39]: I thought the memory component was pretty underrated. It was a very good early memory system, and one of the biggest papers.Foundation Models and the Search for Killer ApplicationsJoon [00:02:47]: Yeah, so maybe I can talk a little bit about how this particular paper came together. So when I got into research, it was back in 2020 when I started my PhD program at Stanford, and that was the year, when we were about to get GPT-3 to be available. So we already had GPT-2, and you could sense that there was this new class of models that was just becoming available in the market, and the team got very intrigued. And the general consensus was, “Well, is this model going to be useful for anything?” “It's really strange that these models are not trained to do any particular task.” But we decided to take a bet. So a large group of scholars at Stanford, and it was led by one of my co-founders, Percy Liang, and we came togetherSwyx [00:03:35]: Who coined foundation models.Joon [00:03:36]: Who coined the term foundation models. We wrote this paper, where that term came from called Opportunities and Risks of Foundation Models. And during that process, really the thing that I started to think deeply about was, here is a model that is fundamentally new in our ecosystem. The reason why this was new was it wasn't, again, trained to do anything in particular, but its premise was it could do anything and everything. It was like a stem cell, if you were to take a biology analogy. And I got really interested in this idea that, well, if we were to really think about what are the killer applications that this particular technology would enable, what would that be? Many of my colleagues were using this for simple classification, simple generations. Interesting that these models can do that, but from an interaction perspective, not that interesting. We've known how to do that for many decades. And what we came down to was these models are trained on this very broad data from the web, right? So these are human behavioral data. It's social media, Wikipedia, all these data. So if you poke at the right angle, then you could see human behavior that would just pop out that's quite realistic, and we've never seen that before.The Time Machine Game and Recreating the WorldJoon [00:04:45]: So that got us really interested. The exercise that we decided to do, with this particular group of colleagues, Michael Bernstein, Percy Liang, and myself, who ended up becoming my co-founder at Simile, we sat down and we played this game that we call the time machine game.Joon [00:05:03]: Imagine we were to get on a time machine and fast-forward 10 years and look back. What would have been the single application that will have mattered that would be the most interesting and inspiring? And when we thought, “Well, what if we can just recreate the world that we live in?” it's really hard to get more ambitious than that. Like, let's just create a world.Joon [00:05:24]: And that's where we started. And initially, we had this paper that was a precursor to the generative agents paper called Social Simulacra.Swyx [00:05:32]: Before you go further, were there other candidates for the most ambitious thing in the time machine exercise? What was number two or number three?Personal Agents, User Models, and Why Simulation Came FirstJoon [00:05:44]: There is a close second that we were considering, which ended up becoming more of these automation tools, especially the vision around really personalized agents that would do things for you.Swyx [00:05:59]: That's also happening.Joon [00:06:00]: It's also happening. But it was interesting for us, right, in that the reason why, we decided to go with the idea of simulation, one, I was a huge science fiction nerd, and this idea of creating simulation, I was personally really just fascinated. I loved the idea. It's really cool to see, like, a game town like this and just see these agents live in it. But at the same time, my bet was if you were to create a really amazing personal assistant out of this technology, what you need first is an amazing model of your users. So I told a model, “Hey, can you go buy late dinner for me?” And it orders Hawaiian pizza, and I do not like pineapples on my pizza. Then it totally failed. The way for it to not make that mistake is only by having a deep understanding of who I am. And I gave a very simple and dumb example here, but you can imagine how this core understanding of people is instrumental. This is how, if we have our family and closest friends, they have a good mental model of who we are. That's the basis of our social connection. So our bet also was this technology around simulation, creating accurate representation of people ought to precede the more complex agents that would automate the world that we live in. So that was the bet. But that was a very close second, and I'm still very much fascinated by it. I think there's a lot of interesting work that's going around. My hot take here, though, is I don't think we've seen a true personal assistant that's useful, in ways that meet the ambition of that particular line of work. I think there are early applications that are interesting, and if you talk to even ChatGPT nowadays or Claude, they know a lot about us. So a lot of the generation it's doing, I do think it's much more tailored, but I think the ambition is quite large in that field, and I don't think we quite have all the right ingredients just yet.Swyx [00:08:01]: So OpenClaw and these personal agents, what do you want to see from them that they don't currently have?Memory, Markdown, and the Limits of PromptingJoon [00:08:09]: I do think it's slowly getting there, but I do generally want them to have much deeper understanding of the person. Right now, you look at the models. OpenClaw, what it's leveraging is a Markdown file, and I think it's quite clever, right? So if you look at the generative agents paper, this was the same intuition that we had, where initially when we were creating the memory architecture for the generative agents, and, like, this is, like, back in 2022, so we didn't really quite have the idea of even agentive architecture or the term agent. But the intuition that we shared with some of the work that's coming out today was we initially thought, “Well, do we want to make the memory into, let's say, knowledge graph? Do we want to train a bespoke model?” All of these things. And what we decided to do was, “No. Just forget about all this.” These language models are quite good at modeling text and understanding and reasoning about text. So just put everything in a Markdown file or a text file. You're done. I thought that was quite interesting that we could do that, and there's a lot of strength in doing that. But also, there are limitations. It's the way you retrieve and make sense of data that's extremely large, it takes a lot of work. So I think that technology is getting better. I also do, however, think, there are certain things you just cannot shape just by prompting the model. So to some degree, you do need to touch the parameters of the model itself. So there is this work that I do think does need to happen, and it is happening. The question is, how far can we take it? How do we source data, and how do you also create an ecosystem where people are continuously feeding data to this model so it's learning about you?Vibhu [00:09:50]: What's the intuition between why you need to do it in the model?Social Physics and Behavior Foundation ModelsJoon [00:09:53]: My intuition behind the actual when do you train or even post-train a model versus just prompt a model is if the model has to learn the underlying physics of the world that it's operating in. So it has to learn new social physics. The places where it doesn't have to train are the places where it already has the physics. We trust the physics. It already has the base statistics, but it's just trying to react to an environment. Then I think you can just prompt your way into getting the actions out of it. I don't think the models that are out in the open have yet learned the complete mapping of social physics of humanity. This is one of the core theses of Simile, right? And one of the core reasons why that is the case is if you look at the data that the model was trained on, these models were trained on the web data, like, whatever was available on the web. And these are really interesting data sets, but they are fundamentally the self-exposed attitudinal data with some behavior data that's sprinkled around here and there. And it has yet to learn the really deep behavioral nature of people, not just what people say they do online, but what they do in real life. And this is one of what I would consider to be the dark knowledge of humanity that we haven't quite captured. And it's these data that would also need to get factored into the model creation.Vibhu [00:11:21]: You call it behavior foundation model.Vibhu [00:11:23]: There's a good one-liner here, but outside of that, what type of data do you need? What are you changing on the model level? How do you go about modeling, doing a behavior foundation model?The Three Data Buckets: Interviews, Behavior, and CausalityJoon [00:11:35]: We think about data in three buckets. So one bucket is interview data. It's quite interesting. Rich qualitative data is interesting. It's not behavioral, but we would literally ask people, “Hey, tell me the story of your life.”Vibhu [00:11:53]: It's just what we're doing here exactly.Joon [00:11:54]: The question that you all asked at the beginning of this interview literally is the question we also ask. And we ask our participants to go a little bit deeper, than how far I went. Maybe I can give more of my life story in lieu of this. But the reason why that data is interesting is by learning about this very long-tail information about people, you get a lot of texture around this model, like, this person as a model. So even understanding their childhood memory or even their trauma, their first love, these things, quite informative in ways that's really hard to predict. So that's one. Then there are two tranches of what I would consider to be the behavioral data. One kind of behavioral data is observational. So these might be like transaction data, or these might be data that you can get by scraping the web, right? So you can imagine why these data sets would be interesting, right, because they give you the base statistics of people's behavior.Joon [00:12:55]: But then there is the last category of data, that I personally think is perhaps the most important, which is the data that describes the causal mechanism, the whys of people. Some of this is covered by the interview data, the qualitative, because people talk about why they made certain decisions. But really, where you get to see the most behavioral aspect of this is in randomized controlled trials, like RCTs. Imagine you have the same setup, but you have a few different variables that you are trying to tweak. Can you get realistic human behavior out of it in ways where, imagine you had this particular option. Imagine you're even trying to choose whether you're going to drink coffee or not. The day you drink coffee versus the day you didn't drink coffee, does your behavior change? That's a data set that describes a causal mechanism. This is quite important in modeling people. The reason why this is important is oftentimes when people come to us, or not just to us, but the reason why people are interested in simulation isn't because they want to predict the future. If you're trying to win against the stock market, predicting the future is interesting.Prediction vs. Simulation: Shaping the FutureJoon [00:14:08]: But most people, most decision-makers, what they want to know is, how can we shape the future? It doesn't really help you to hear that your sales are going to tank in two quarters. They're just gonna say, “Wow, that sucks.” What they want to know is, well, what do we need to do now to avoid that future? That's the causal mechanism. And this is also very hard data to come by, right, because the world is our ground truth, but it happens once. So in a very controlled setup where everything is equal except for one variable, this kind of data set rarely happens. So this is a reason why this data set is both hard to come by and quite important if you're trying to model human behavior.Swyx [00:14:50]: So behavior, I think, is the hardest data set to acquire. What is out there? What is even possible? You're not going to know a lot of details about my life. I don't even have data for myself on my own health or habits, and I just don't log everything. So how can you have that data?Joon [00:15:14]: So we run a lot of randomized controlled trials.Swyx [00:15:17]: But you put people in the lab, they watch them sleep, or what?Joon [00:15:20]: We do care a lot about the consent process. People know that we invite them to be a member of this community to both share data and have themselves represented in different forms. But we bring a lot of people to the lab, or virtual lab, where we design experiments that would pose them real behavioral decisions. And often in these experimental setups, what makes the difference between what is attitudinal versus behavioral is whether the stake in your decision is real. That's ultimately what makes it behavioral. So in these setups, we are inspired by our colleagues in social sciences, psychology, and so forth. So when they run studies, the techniques they utilize is imagine there's an online store that you're inviting people to come by. Then whatever they purchase in this experiment, they actually get that item delivered. Like, these are the things that make the stakes real. So we run a lot of these experiments, and we also do partner with firms. Right now, we also have customers who are quite excited to at least give us a glimpse of the behaviors that their users exhibit so that we can get a little bit deeper understanding of how people behave in these different platforms.How Customers Use Simile: Populations, Queries, and ExperimentsVibhu [00:16:39]: I think on the customer side, they have a lot of data about their users, who has bought. They have the action data.Vibhu [00:16:47]: Can you walk us through an example of what someone comes to you for? What questions would they want solved? Do you customize a model for them? Do you have something off the shelf? What does that look like?Joon [00:16:59]: Today, when people leverage our models, it's often to better understand the population of their interest. So usually, the start of the relationship, we come together and hear about what population they want us to model, right? So it might be that if you're a CPG company that's selling to all of the US, then maybe it's fairly straightforward. You want to model the gen pop of the US. But at the same time, if there is a vertical or if there's a market that they're trying to go into, imagine, they want to better understand, let's say, people in their 20s and 30s living in California. That's a much more specific population. So we hear about this population, and we go recruit these people, with consent, and with incentives, and we collect some of their data and create a model of these people. Then what our product allows you to do is query them. So it can take as input a filter that is a description of the population that you want to talk to, just like the one I just mentioned, and an environment. The environment can literally be survey questions, behavioral experiments, It can be A/B testing. Oftentimes, the core use cases are things like concept testing, to start with. But also, people sometimes want to do focus groups or one of the fun use cases that we also serve is even modeling things like earnings calls for public companies.Joon [00:18:21]: So these are the use cases that we often start with.Swyx [00:18:23]: Concept testing, is that an established term? I've never heard of concept testing.Concept Testing, Gallup, and PoliticsJoon [00:18:27]: Yeah. So it has to do with they have, let's say, different messaging, different products, different ideas.Swyx [00:18:32]: It's like a marketing exercise.Swyx [00:18:33]: Okay, got it. Got it. Politics?Joon [00:18:36]: We do, have a strategic partnership with Gallup, and of course, Gallup is deep into policy space and so forth. Right now, we have not worked deeply with politics, like that area just yet, however.Swyx [00:18:49]: I'm curious if there is demand or if they really would have different needs that somehow fundamentally don't mix with your existing, users or people.Joon [00:19:00]: I think there's certainly demand.Joon [00:19:02]: But we are very much mindful of how this technology gets adopted and the societal impact that we'll end up having with this technology. And I do see politics as an area where a company has to be particularly thoughtful about the way they operate and make impact. So this is where we also want to make sure that we form enough of guardrail and perspective on how to leverage this technology before we go on to serve markets like the politics.Swyx [00:19:29]: I'll give people an example. one of my favorite shows is The West Wing. I don't know if people have watched.Swyx [00:19:34]: One of the key storylines is, like, the president has, multiple sclerosis, but they haven't. they need to figure out how to disclose it. So they run a poll with a fake governor and ask people to respond on the poll,Counterfactuals, Polling, and When Simulation Is UsefulSwyx [00:19:47]: They try to make decisions based on the results of that poll on, like, how well they'll be received, like where, how should we play this?Swyx [00:19:54]: And I'm like, well, I think those counterfactual things, I would use a simulation for this if I could trust it.Joon [00:20:01]: For sure.Joon [00:20:02]: In that show, how'd it go?Swyx [00:20:04]: In that show, it was, like a foregone conclusion. They were like, “We know it's bad. We just don't know how bad.” And then the poll came back. It was like, “It's really bad.” And then they just did it anyway.Joon [00:20:14]: Part of it is to show, right? So you're, you're looking at the ideaSwyx [00:20:17]: Maximizing drama.Joon [00:20:18]: How bad could it be? Oh, it's horrible.Swyx [00:20:20]: And to some extent, I think that is part of the trick of the, or the challenge or with being a customer of yours, which is that if I know it's. if I roughly know and can intuitSwyx [00:20:35]: What the effect is going to be, do I need you? What sensitivity of it, of effect do I need in order to make a decision, right? So for example, if I, my approval rating is 50%Swyx [00:20:48]: And I, they have this negative piece, news item comes out, and it drops to 30.Swyx [00:20:52]: If it drops to 20, if it drops to 40, do I care? No. It, I know it drops. It's negative. So when do I care about simulations?Joon [00:21:01]: You do something that's clearly bad, that's not popular, and people don't like you, like, yeah, it's likeSwyx [00:21:05]: You don't need a simulation.Joon [00:21:07]: Yeah. Well, so there are a couple of things. one is, there are use cases where, like every day, developers, designers, policymakers, marketers, every single day, they create assets. They create new products. And turns out, it's many of the decisions in hindsight is obvious. Yes, of course this is bad, but we still run those studies because understanding the magnitude and understanding how acute something is quite difficult, even if, we feel like, of course, like this makes sense. this is the reason why we make so many mistakes. Like, every time somebody goes online and say something that has huge backlash, you look at that and like, “What an idiot.” However, it's tough. That's one. There's also another aspect here, which is, again, this is the reason why simulation is different from prediction. In simulation, in the ideal case scenario. So what simulation is trying to show is it's trying to show each step of the way or each step that we need to take to get to a certain outcome, right? So in the most advanced simulations, sometimes the next step that we're suggesting might be quite counterintuitive. The analogy that I sometimes give, and I ground it in a more realistic example, but, I, as I mentioned, I'm a huge fan of science fiction, and I don't know how, many of the audience members have read, like, things like the Foundation series by Asimov.Simulation as a Path, Not Just a PredictionSwyx [00:22:37]: Oh, yeah. We've mentioned psychohistory a number of times.Joon [00:22:39]: Okay, fantastic. So I might be, talking to the right crew. If you read Foundation series, literally the first act is there's a group of scientists who have found out that, “Oh, our galactic empire is going to collapse, and we're going to have 30,000 years of unrest.” And they run psychohistory, the simulator that tries to teach them, “Okay, how can we keep this unrest to a 1,000 years?” And they plan this out, and the first step of that plan is to get the scientists who say, “Okay, this is coming,” exiled into this random place in this, galax- galaxy.Swyx [00:23:18]: Terminus.Joon [00:23:19]: Exactly. And that's so counterintuitive. Like, what a strange move that you literally sent the group of scientists who was raising voice around this potential collapse of galactic empire into nowhere. How is that the right first move? Well, it turns out in this particular simulation, that was the move.Joon [00:23:40]: It's these things, right? And the reason why these reasoning is possible is because you're showing the step function or each step that results in a particular outcome. So really what simulation allows you to do in its highest form is you give it not a problem or question, like what would people answer to the survey? That's not what we do. What we tell it is, “Here is a goal that we have. In the context of foundation, we want to keep the unrest to a 1,000 years. What is the path that we need to take now to get to that particular future?” And that's what simulation allows you to do. Now, translating that into real market, imagine you're a automobile company and you're about to release a, EV, and you're trying to understand, well, how do we market EV, to make sure that our stock price goes up? But what if the answer comes down that, well, you can market your EV in XYZ way, but that might change people's perception around the cars that's not EV and make your overall sales to go down. Not very intuitive, especially all you're trying to optimize is EV salesss, and that's the only thing that you're tracking, then that might result in a completely wrong solution, or at least different solution than what you would have expected, whether it's right or wrong.Joon [00:24:57]: That's the power of simulation.Swyx [00:24:58]: For listeners, we covered a similar topic with Mikhail Parakhin from Shopify, where they are working on SimGym. I don't know if he ever talked to you about it. it's very similar.Joon [00:25:07]: ISwyx [00:25:07]: The goal is increased conversion, but then the journey is very unusual.Joon [00:25:12]: Journey is unusual.Swyx [00:25:12]: Yeah. The-- He's trying to look for interventions on a shopping trajectory, which is similar to what you're saying. Like, it's not about the attitudinal, is your word for it.Swyx [00:25:24]: It's about behavior.Joon [00:25:25]: It's about behavior.Swyx [00:25:25]: And that's exactly the difference, right? It's, like, not about the near-term direction about-- but it's more about, like, how do you affect multiple turns of interactions.Vibhu [00:25:35]: You had a good quote at the start about this as well. It's not about people wanting to know the outcome. It's about how they can change it, change the way to get there, something like that. But I wanna take it back to how do we know this is grounded? LikeGrounding and Evaluating Digital TwinsVibhu [00:25:47]: How do you run evals? How do you test that simulations come through? if I was to do the same thing that you described with, say, your favorite LLM, Opus, GPT-5.6, have some agent to map out these thingsVibhu [00:26:02]: How different are the answers we would get if I give it the same goal, the same objective, make a decent system? You're saying that you need to change the model weight. You have your own solution to this. But how far off are we, and how do you check if it's grounded? you have some interesting stuff on your site that points to how you run real evals, but if you could take us through that side. I think that's one of the big concerns that people have. They're like, “LLMs hallucinate.”Vibhu [00:26:27]: “You're just hallucinating layer after layer,” right?Joon [00:26:30]: The way we do this, and this is the paper that we worked on after the generative agents paper that really became the, at least for Simile and also the field of simulation and synthetic panels, really became the foundation. Yeah, this is the paper. the paper is called Generative Agent Simulations of 1000 People. Here's what we've done. For this paper, we brought 1,000 people that's representatively sampled from the US to a virtual lab. And what we have done was we spent two hours collecting fairly wide-ranging data. In this particular study, we focused a lot on this interview data, that was, whose script was taken from this project called American Voices Project. And then we would also pair that with a lot of behavior data and so forth, whatever we can collect within two hours. And then we would send these people away for a couple of weeks. And during that time, I would use this data to create their digital twins. And I would bring the humans, participants back after 2 weeks and have them complete a battery of surveys, experiments, behavior studies. So we have the list here, which included things like behavioral economics games. We would run literally, like, Big Five personality test, General Social Survey. We would also go ahead and run the randomized controlled trials that were published on PNAS. And we would have their digital twins predict how the source individuals would have acted in these studies and surveys. And this is where we could replicate people's behaviors and attitudes 85 percent as accurately as people would replicate their own. So that was the first really paper that gave this validated results that we can model individuals in an accurate way. And what we ended up finding now, of course, in AI space, so this paper came out at the end of 2024. AI space, a year and a half, 2 years, that's a lifetime.85% Accuracy and Why Frontier Models Miss Human BehaviorSwyx [00:28:24]: Yeah. Just, for listeners who are not seeing the YouTube, I just wanna say, like, the headline figure is 85 percent accuracy, like, which is a big improvement over all the otherSwyx [00:28:34]: Methods that you showed.Joon [00:28:36]: But the part that was particularly striking to us, especially as we improved this technology even further, was the generative AI models like ChatGPT, Claude that's coming out, it does give you the right foundation. However, what they do not consider is the true attitudinal and behavioral aspect of people, especially in the population that you care about. So what these models are really good at today is they're trying to become the super rational, objective machines, right? So you go get their data from places like Mercor, Scale. You talk to professional programmers, scientists to create model that's amazing at reasoning. That's what they do. Simile doesn't care about any of this. The models that we're talking about here, what we're trying to create are models that are as dumb as I am, right? So if I make some mistakes, the model has to make the same mistake.Swyx [00:29:34]: Oh, that's very hard.Joon [00:29:35]: That's very hard.Swyx [00:29:36]: You're solving Murphy's paradox.Joon [00:29:37]: That's exactly. And this is a completely different data and training objective. This is also where we see quite a bit of discrepancy in the performance in human behavior prediction between the frontier models, Simile's model, and the models being created in this space, where in some cases, the model performance of frontier models go all the way down to 20, 30 percent, especially if you go into that more niche population on topics that our customers would care about. On more gen pop, it might be around 50 to 60 percent. So it's not very robust. Like, you wouldn't want to make your decision off of these and these findings. If you can bring that up to 85 percent, that is ultimately what people end up getting very excited about.Swyx [00:30:20]: Yeah. Do we wanna keep going on the paper, routes?Joon [00:30:23]: Yeah, for sure. So the last one, was an interesting one. So this, paper was the follow-up paper that we had, to the 1000 agents paper, where the idea was now can we augment the models even further and post-train a model based on a lot of randomized controlled trials? So this was an interesting one. The data is always the most interesting part of modeling in many ways. The data that we got here was there's this, there's this platform called Open Science Framework. So some, the audience might be familiar with this. And there has been, especially in the social sciences over the past 5 years or so, there has been this concern around replicability of studies. And so it was a bit of a crisis, the scientists acknowledged, where we rerun the study and we don't see the same finding.Post-Training on RCTs and Replication StudiesVibhu [00:31:12]: Oof.Joon [00:31:12]: It's tough. And the reason why it's there-- that was often the case was there's this survival bias where the papers that get published often need to maintain what we call the value of less than 0.05 in the experiments that we ran. That suggests that only-- there's only 5% chance that the results that we saw is false positive. But the tricky part was all the papers that were not published, and there's still a 5% chance that whatever we publish is totally just randomly generated. Like, there's a 5% chance that, hey, this effect is not real, but it just happened to be real because of the sampling bias. So because of that, what scientists started to do was they started to register their studies. So before running an experiment, they would go to this platform and say, “Here is the data. Here is the population that we're collecting, and here's the hypotheses.” And they would just say, “Here is our hypothesis.” Like, “This is what we believe.” And you cannot retroactively change those hypotheses. This is what gives us more scientific statistical confidence that whatever effect that you ended up seeing is true. So that ended up creating this really interesting platform where there's one platform that has now contains tens of thousands of real-world experiments and hypotheses. And a lot of these are really high-quality, like, professionally designed behavior studies and random- randomized controlled trials. So we got the data and the studies from this platform and used that to make a point. And this particular, model is not, something that we're serving commercially because this was a part of the open science. But this particular data set, helped us make a point that by collecting a lot of these randomized controlled trials, that are really well-designed, we can make significant improvement in model's capability to predict human behaviors. So that's what this paper was about.Vibhu [00:33:10]: Is this stuff done on a individual level? Like, do I need to tune the model per individual, per company? Is there foundation model changes and then some slight post-training? Anything you can share there?Population-Level vs. Individual-Level ModelsJoon [00:33:21]: So this particular model was trained. the data we had at the level of individuals, but this particular model was trained. We experimented with both. And this is what we end up doing at Simile too. We always train 2, distinct model. One is what we call the population-level model. The other is what we call the individual-level model. And both take very similar input, which is the description of a subpopulation or individual and a stimuli. In this particular work, we've done the same. Here, the results that we are reporting are much more geared towards individuals because we do think that is a harder task in many ways, but that's what we have done.Vibhu [00:34:02]: You seen anything on the questions that humans can solve that models can't solve? So likeHuman Biases, Mundane Choices, and What Models MissVibhu [00:34:09]: Currently, it's, I live 5 minutes walk away from a car wash. It's a 10-minute drive. Should I walk or drive?Joon [00:34:16]: Huh.Vibhu [00:34:16]: The model will say, “Oh, walk to the car wash.” And, you don't have your car.Vibhu [00:34:20]: Is anything like this a problem in simulation? You would assume, like, very simple for human to think about, but if the model is saying you should walk to the car wash, anything here?Joon [00:34:32]: It's less, what can we solve, but I think it's more about what biases or mistakes do people make that models miss. Like, imagine that you are, like the. When I was still at Stanford, I lived in Palo Alto. So it's about, I would say, 40-minute walk from the campus. You ask the model, “Okay, let's go home. What can I, what can I do?” It would likely call an Uber or, give me, the bus time. But for the longest time, I really liked walking back. And the reason why I wanted to do that was not for efficiency. It really helped me think. And I like to walk for, half an hour or 40 minutes or so a day, where I just get to, just think about ideas, research, just get lost in my thoughts. That's very human activity. Unless the model has seen that and understands the importance of that activity, it would miss these kinds of features. So that I think, is fundamentally what we're trying to model. Like, what is fundamentally human might not be the most efficient thing to do, might not be the right thing to do, but things that make us who we are.Swyx [00:35:43]: I'm curious if, there are some data sets that you really want that would materially help you. One version of this may be interesting, which is more valuable to you to acquire as a data set, all of LinkedIn, all of Twitter, all of Facebook?What Data Matters: Social Media, Transactions, and FacebookJoon [00:35:57]: It's a little bit hard to rank, in part because, there's, there's this product saying where no feedback is wrong because it teaches you something about your users. Doesn't matter what feedback.Joon [00:36:11]: I think it's a little bit like that.Swyx [00:36:12]: So just whatever is bigger.Vibhu [00:36:13]: What about a different domain? Say it was. What about all of Amazon data?Joon [00:36:17]: Oh, yeah.Vibhu [00:36:18]: Shopping data, right?Joon [00:36:18]: Shopping data. So Amazon data is interesting in that it's very much behavioral, although, like, what people do on social media, you could squint and say that is also behavioral. But the transaction data is always interesting. It is also most commonly available, however.Joon [00:36:33]: If we were to look at purely social media, like if you really, if I were, if I had to really pick, Facebook likely is interesting because I do think it is most a default version of people. Because you go to LinkedIn, it's very much professional environment. So people put up their, they have their guards up, right? And that still is interesting because that is true human attitude and behavior, but it is not your base state. you go to Twitter- Twitter, people have their own crazy personas, or depending on who you are. Like, my Twitter profile and, persona is very much, initially was I was very much an academic. “Hey, I'm here to share my studies.” Now, I share, things that's related to Simile. But Facebook is one of those more private space where people just connect with their friends. In that way, I do think it shows you a little bit more about who that person is. So if I had to pick, I'd likely pick, Facebook.Swyx [00:37:30]: Yeah. And you're interested in, like, the whole person and their background and philosophy. I, is it too clinical or too machine learning-oriented to just say this is just ways to inject variance and biases? The broad question, is, like, is this any better than a randomized, like, combinatorial explosion version? So we have a link to the TencentBillion Personas, Synthetic Demographics, and Bespoke DataSwyx [00:37:54]: Billion persona paper, where they did not do any of the groundwork that you are doing.Swyx [00:37:59]: They just did like a cross matrix of here's all the professions in the world, here's all the people, possible backgrounds in the world, do a dot product across all of them, and that's it. That's your prompt for a billion people.Swyx [00:38:12]: This will do something. I don't know if it'll do what you do, but it gets you some way, some percent of the way there.Joon [00:38:18]: So this was an interesting paper. Like, what I admired about this paper when it came out was the scale. And you do gradually want to be able to simulate really large societies and interactions. So the scale is definitely admirable. it is relying heavily on the known statistics that went into training the model. So to the extent that you believe that statistics is correct, this is not a bad way to go about this. But the thesis here, and this is something that we also have seen in the market, like if this works, then we have solved simulation.Joon [00:38:54]: It,Swyx [00:38:55]: Because I survey, like, okay, 5% of the US population is in construction.Swyx [00:39:01]: The other 5% is in medicine, whatever, right? And then you just keep going down the list, and then you do the other side. 5% has, like, the big 5 personalitySwyx [00:39:08]: Of, like, neurotic or whatever. That's it.Joon [00:39:11]: That's it. So if you believe that the underlying data set and the platform that we're leveraging has all the right statistics, then this will have solved it. you're at that point merely retrieving the knowledge that is already embedded in the model, in the model parameters. That's not, unfortunately, what we see, where there is such detailed and also niche knowledge about people that if you just take one example, it might feel very mundane, but it's quite rich when you put together, that you do need to do a lot of bespoke data collection to better understand people. And this is also, I think what makes this particular, job fun, which you want to deeply understand people, and the process of deeply understanding them requires a lot of attention to the details. And you do need to pay attention to and pay respect to the daily lives that people lead.Scaling Simulation: From Thousands to SocietiesVibhu [00:40:04]: I wanna talk about scaling simulation.Vibhu [00:40:07]: So what can't we simulate, what can we simulate, and how does scaling affect this? So how big are the models? What if we go from, 8B, like, couple 100 billionVibhu [00:40:18]: Like billion000 parameters, billion000? Do we get scaling? Any interesting emergence? Like, at a certain scale, at a certain amount of training, you uncover anything unusual and any learnings from that?Joon [00:40:31]: What we are seeing is at Simile, so we do post-train our own model. The thing that we're seeing is the early glimpse of scaling law in simulations. The more data about humans and more compute you ingest, you start to get predictive and predictable gains of the model performance in simulating it, simulating people.Vibhu [00:40:51]: Ooh. We need a scaling law curve.Joon [00:40:52]: It's scaling law. Whenever you find it's a beautiful thing. And we're starting to see the glimpse of it, which is quite exciting. But if you talk about the ambition of simulation as a whole, it's not merely about building a model. It's about building a model, then creating the agents that become the individuals in a much larger ecosystem. So they're creating this multi-agent simulation. Down the line, you want these multi-agent simulation to also live in a very rich environment, right? What we are really trying to get to at that point is, hey, can we create. All right, let's do a time machine game again, and 5 years, 10 years into the future, can we create a simulation of 8 billion people living on Earth? I think that's quite interesting. And that really is the vision. And once you get to that state, the questions that you can help answer for the society also start to change from my perspective. The answers are fundamentally about emergence of the emergent behavior of society and large groups of people.Joon [00:41:53]: So the questions that I get excited by, and maybe this is a stodgy- a bit. I have my, academic side of me.Joon [00:42:01]: And for me, it's questions like, can we help solve climate change? If you look at climate change as a problem space, this is what we, like social scientists would often call it the wicked problems, problem where you have many actors with competing incentives for trying to make a very complex decision and coordinating that coordination decision. Very difficult to really solve in real life, which is also the reason why we couldn't solve it. Can simulation help us solve that? Another one is, can we understand the signals for collapsing democracy, or can we understand or can we uncover the origin story of the monetary system? These are societal questions that we never really had a good way of answering. If we can create simulations of our society, you have to believe that these are the problems that we can solve. So that's really the ambition of this field. And, I also think, yes, I think there's a Nobel Prize to be won there, which wouldn't be surprising. And I think there's some amazing societal impact that we can have to help people make better decisions.Climate Change, Democracy, and Societal SimulationSwyx [00:43:04]: Nobel Prize in economics?Joon [00:43:06]: In economics.Swyx [00:43:06]: Oh, I see. I see. Rooting for you to write that paper.Joon [00:43:10]: One of these days. But, one of the scholars that I was deeply inspired by, When I was coming into the space of simulation, is this scholar, named Thomas Schelling.Schelling, Agent-Based Models, and the Nobel PrizeSwyx [00:43:23]: Schelling point?Joon [00:43:24]: So the canonical example of the work that he's done was he was one of the creators of agent-based modeling. So this was, like, in the 1970s and 80s. It's very early days, but this was truly one of the first exemplars of simulations. And one of the canonical model from that time, and of course many of these simulations are trying to tackle the societal problems that's most relevant for their era, it was called the model of segregation. So racial segregation was a big topic, that, we cared about. And what they've done was they created this grid world where they had red dots and blue dots. And these dots were, back in the day, like, they were the agents, and they had a simple rule that governed their behavior. If certain percentage of your neighbors are of different color and if that goes above certain threshold, then you move to a new location at random.Joon [00:44:21]: One of the striking finding of this paper or this agent-based model was for the longest time, people thought the segregation within society was caused by explicit and overt racism.Joon [00:44:34]: But if you look at this model, people's preference towards living with people of the same color, that preference can be very minute.Joon [00:44:42]: But the very small difference causes the society to segregate completely over time. This was very counterintuitive for a lot of people. And this particular work ended up informing housing policies. Mixed income housing, got really inspired by this work. And Thomas Schelling ends up winning the Nobel Prize for having laid the groundwork for very early versions of simulations. The opportunity that I do see here in the more scientific terms, is agent-based models for the longest, had impact in the 1980s, 90s, to some extent, early 2000s, but it has now gotten forgotten by the community a little bit. Because as you can imagine, red dots and blue dots is not really a rich description of people.Joon [00:45:31]: But with the emergence of things like generative AI and, in particular, generative agents, we do have an opportunity to create these agent-based models that are high fidelity enough to help us make really complex decisions. And that's the opportunity that I see. If that truly works, then yes, that is the work that will result in a Nobel Prize.Swyx [00:45:53]: Yeah. For what it's worth, and I grew up in Singapore. 80% of Singapore is in public housing, and public housing has, enforced racial quotas for exactly that reason, which is very interesting. okay, so we talk about scaling, we talk about all these, the agent possible applications.Cost, Reuse, and the Economics of SimulationSwyx [00:46:13]: I'm scared about the cost. if you even-- let's just keep it to the US, about 8 billion people.Swyx [00:46:21]: But, how much does it cost to model so many hundreds of millions of people?Joon [00:46:26]: Oftentimes today, we don't start at that scale, this stage of the, of industry and simulation as technology. But we can get our users extremely rich and meaningful insights even by modeling thousands, tens of thousands of people. And today what we do is every week we are collecting data on the scale of tens of thousands people's data, and we have panel partnerships that gets us to tens of millions of people globally. So that's what we do today.Swyx [00:46:55]: And just as a side note once you've collected one person for one studySwyx [00:46:59]: Can you reuse that same person for all the subsequent studies?Joon [00:47:03]: That's exactly right.Swyx [00:47:03]: Okay.Joon [00:47:04]: The beauty of this model and these agents is the fact that they are domain-agnostic.Joon [00:47:08]: That what you're really trying to understand is what is the fundamental nature of these people? What's their social physics? And there are a lot of, a lot of, people that does change over time. Like, even, like, even things like, how many times have you gone have you been to, like, CVS the past week? that will change. But there's so many traits about people that are also known to never change. Like, your risk tolerance doesn't really change over time. It's very consistent. So it's these things that we're trying to learn. But the scale we are operating is right now hundreds or, tens of thousands to hundreds of thousands. And in many of the core use cases that we are deployed in, and this is more than enough population, to cover those. Really, at that point, what you care about is less the number of people, but more do you have the right subpopulation of interest covered? And this is also the reason why people want a larger sample. It's not because they want, stronger statistical guarantees. It's more that can they filter down to any population of their interest. However, you can also imagine in 10 years, if we truly believe that the compute is going to scale, that we'll have much more availability for compute, and our ambition for simulation is also going to scale accordingly, there's definitely a reason for us to create an entire data center worth of simulations.Joon [00:48:35]: Or in my hunch here is I do think in the next some number of years, we will start creating simulations that will cost as much as training a foundation model. But perhaps it's going to be so valuable to the society that it would be a no-brainer. Right now, even today, like, we are training bunch of new foundation model just so we can say we trained one and we spent tens of millions. But if we can create a simulation at the level of society that would solve climate change, I would run that today. I would raise the money right now just to run that.Multi-Agent Simulation and Social InfluenceSwyx [00:49:10]: Amazing. the follow-up question is, does it also compound if you let the simulations talk to each other?Swyx [00:49:18]: Or do they already do that today? They don't, right, as far as I understand?Joon [00:49:22]: It depends on what simulation you're trying to run.Joon [00:49:24]: In the multi-agent simulation setup, the agents do talk to each other.Swyx [00:49:28]: Right, which is exactly Smallville, right?Joon [00:49:29]: That's right.Swyx [00:49:30]: But a lot of times, for example, in commerce, you're just by yourself, so there's no point talking. which is way cheaper.Vibhu [00:49:37]: But they use all these levels, right? Like, you decide what you will buy based on what other people around you buy and talk about, right?Swyx [00:49:43]: It depends.Vibhu [00:49:44]: It depends.Swyx [00:49:45]: Again, I'm, I'm coming at this from a cost point of view. I'm like, “Oh my God.” LikeVibhu [00:49:48]: I thinkSwyx [00:49:49]: If there is, like, some combinatorial thing of, like, thousands of people talking to thousands of people, then that one million X's might cost.Vibhu [00:49:56]: I have a very different view as the cost point aside. Like, running these studies in reality is a lot more expensive, right? Running any study like this is you gotta have people do it, you gotta sign people up. It's very expensive and sometimes, like, not feasible to run the study.Vibhu [00:50:14]: But the outcome or the decisions you make are very expensive on them, right? So spend X million on something that, the overall process costs 100 million might as well, right? There's, there's a lot of value to be had there. It's a small cost, but I'm excited on the cost side.Joon [00:50:33]: To some extent, and when you deploy technology, you often want to deploy in a way where you can replace existing budget or you can make things more efficient, and that is the best way to deploy. However, the way you capture the long-term value of the technology is making the argument that, no, it's the upside, that by making this better decision using simulation, you have saved yourself or made yourself hundreds of millions or even billions of dollars, and that's a case to be made.Vibhu [00:51:06]: Random tangent question. So if you're doing a lot of inference, a lot of model multi-agent stuff, are you at the point where it makes sense to, train a model that' very sparse? You're expecting to do multi-million dollar runs. Are you thinking about this in model architecture standpoint or inference efficiency, or, you're still at the research phase of it works, we're not super there yet?Joon [00:51:34]: Efficiency, we do think quite a bit about. this is technology that is deployed now in some of the largest enterprise companies in the world, and we do process significant number of queries, that are trying to, simulate the populations in the world. So efficiency is a consistent thing. we don't want to over-optimize too early, so I wouldn't say, like, this is the higher bid Right now, but this is definitely something that we think pretty carefully about.Swyx [00:52:05]: Yeah. Are there other case studies? So we, you talked about CVS, talked about Gallup, Deloitte, Wealthfront.Efficiency, Enterprise Use, and Real-World Case StudiesJoon [00:52:12]: Wealthfront is an interesting one, because one of the things they were trying to do, they were one of the first customers that wanted to do product testing that goes beyond just asking people what they think about, let's say, behavior experiments and so forth. So there, really what we had to do was reason about multimodal input, so images, but also you can also imagine, like, these agents traversing through Figma mockups or websites. So some of the things that our agents can also do is it can be given a domain, like, or, like, a website URL and go use it for a while. It's these things. And Wealthfront was one of the first, customers, that was very excited about this possibility.Vibhu [00:52:53]: What have people been asking? Like, is there any demand that we have not covered? Like, UI testing, right?Vibhu [00:52:59]: I wanna try a new. I wanna ship a new feature, test the UI, simulate how people will do it. Any interesting things that you're seeing demand for?Product Testing, Websites, and Synthetic PanelsJoon [00:53:08]: Today, a lot of the demand does come from like, the places where people have historically used human panels, we can now replace with agents, and these synthetic populations. And this is not replacing human panel. in many ways, the simulation that Simile is building is grounded. So the way that I think about this is we are trying to represent humanity at scale. And in that way, the use cases are what we would expect, but it's the scale of deployment that surprises me.Joon [00:53:44]: Turns out there are so many decisions that people make every day in these organizations, groups, and we want to be able to say, “We listen to people. We have consulted our users.” But in reality, that is rarely the case because getting to people and asking them many questions, it's difficult. It's both costly, time-consuming, but most importantly, people are just not available. If I had to answer 1000 survey questions for this one particular, vendor, even if I wanted to do that, like, I would never do it. And that's very much the case. What simulation can do is ensure that the voices of people are always represented in rooms where the decisions for them is made, right? So all the stakeholders of this particular product launch, ideally they're consulted. That's what this technology really is trying to enable.Market Size, TAM, and Human Decision-MakingSwyx [00:54:39]: In my mind, that means it skews towards more consumer focus, right? Like, anything with a wide enough customer base where you do benefit from the diversity that you represent. What are some rough statistics, just for people who are not familiar with this market in general, what's the market size that. I'm sure you have some, like, rough numbers. market size is, like, a vague questionSwyx [00:55:01]: But, like, how much do people spend?Joon [00:55:03]: So market research is a $100 billion industry.Joon [00:55:06]: But the thing about simulation is not a tool for market research. Simulation is a tool for human decision-making. So the question around what is a TAM here is quite tricky, right? Because it's easy to say, “Well, market research TAM is roughly 100 million or 100 billion.” so is it a TAM? And not really, right? Because in many ways, you're trying to inform all human decision-making. You're trying to inform every decision that are made about humans for humans. What is a TAM for that? It's really unclear. And I'll be honest. Like, I have a scientific background, I have a research background, so I didn't come into the field calculating, oh, what is the TAM for human decision-making? But I just had to assume, well, if we can inform every decision that is made about human for human, that has to be big.Swyx [00:55:58]: Some- something valuable.Joon [00:55:59]: Exactly.Swyx [00:55:59]: To some extent, you are a unicorn founder now, and you have to care as a CEO. But, like, I do think, like, yeah, when you go into these boardrooms with people that you're quoting millions of dollars of contracts for, like, you have to say, “Well, here's what you spend on humans-”Swyx [00:56:15]: “. And here's what we save you, and it's 85% similar.”Joon [00:56:19]: And certainly, the value case, is something that we care deeply about. Like, what is the value that we provide to the users and the decision-makers? But this is also where, like, as a founder, I think valuation only tells one very superficial aspect of the story, and I try not to think too much about valuation, in general, because that's not what also motivates a team or certainly doesn't. I'm, I-- Again, the interesting thing about researchers is we are happy living in academia, getting paid next to. we get paid okay. we don't get paid that much, as a researcher here in academia, but it's the impact and it's the, it's the value that we can provide to the individuals and the society that really drives us. And in that way, ultimately what drives us is the impact. Does the simulation we provide have a real impact in people's decision-making in ways that progresses our society forward? If the answer is yes, then yes. that has to be great business, and we see that in numbers, and we do care deeply about that upside story, but that's the heart of it.Where Simulation Goes NextVibhu [00:57:27]: Do you have any timeline predictions? So we talked about scaling laws of simulations.Vibhu [00:57:33]: You brought up, okay, maybe one day we can simulate how to solve climate change.Vibhu [00:57:38]: Where are we now?Vibhu [00:57:40]: If that's not the end state, what is an end state, and what does progress look like?Joon [00:57:45]: So what I sometimes tell people is simulation as industry, it feels a lot like where GPT-3.5, GPT-4 was, for the AGI saga, which is we have now technology that is powerful enough to do real damage on the verticals that we are tackling. At the same time, there's a lot of progress that is yet to come. And that's, I think, where this is. So the way I see it, I do think there will continue to be breakthroughs both in data, in algorithms, and there will be much more aggressive scaling that will also happen over the next few years. But I think that's roughly where we are.Swyx [00:58:27]: I think that was about the ro

In this episode, Justin sits down with Danielle, a women's health nurse practitioner preparing to launch her own wellness and longevity practice. They discuss how to structure services and pricing, create subscription and package options, increase patient lifetime value, and position a practice around a clear value proposition.  The conversation also covers incorporating complementary services, setting boundaries with patients, creating different levels of access, and knowing when the time is right to transition from full-time employment into the practice. Justin and Danielle also explore why longevity may offer an opportunity to stand out in an increasingly competitive wellness market.   For nurse practitioners preparing to launch or refine their own practice, this episode offers practical ideas for building a business around your expertise, your patients, and the kind of career you want to create.

Justen Sjong (The Climbing Sensei) returns to the podcast to discuss the unique challenges of being tall or short in climbing. We talk about the disadvantages tall climbers face, how injury risk and training volume change with size, mindset shifts for both tall and short climbers, why climbing is inherently unfair, practical tips, and much more. Free Masterclass (Unlock Your Full Potential in Climbing)

Growing your pharmacy doesn't always mean finding new patients. It can also mean making the most of the ones you already serve. In this episode, we're joined by our partners AxeRx and Scriptly to share proven strategies for increasing revenue through stronger patient engagement, expanded services, and smarter use of technology to streamline workflows and free up valuable staff time. Tune in for practical insights you can start putting into action today.  

Read the full notes on Dr. Aimee's website. As a passionate fertility doctor, I'm thrilled to join Jennifer Edmonds on this episode to share the real truths about improving your chances of conception: whether you're trying naturally or preparing for fertility treatments. We dive into the most common misconceptions I see online, the importance of understanding your diagnosis before starting treatment, and why hope and accurate information are essential on your fertility journey. My goal is to empower you with knowledge, practical advice, and a sense of reassurance that you're not alone in this process. Throughout our conversation, I open up about the emotional impact of fertility challenges, the lifestyle changes that truly make a difference, and the questions you should be asking your doctor. We also discuss why so many people are left with "unexplained" infertility, how to advocate for yourself in the medical system, and the overlooked factors that can affect your outcome. I hope you'll walk away feeling informed, supported, and ready to take the next step with confidence. In this episode we cover: The critical role of getting a clear diagnosis before starting fertility treatments Lifestyle and supplement strategies that can improve egg and sperm quality How to advocate for yourself and communicate effectively with your medical team The emotional toll of fertility struggles and resources for mental health support Commonly overlooked factors like endometriosis and the importance of personalized care Find "Your Journey to Fertility" with Jennifer Edmonds on YouTube @elementpilatesyoga Visit Element Pilates Yoga's website Click here to join Dr. Aimee for The IVF Class. The next live class call is on Monday, August 17 at 4pm PST, where Dr. Aimee will explain IVF and there will be time to ask her your questions live on Zoom. Dr. Aimee Eyvazzadeh is one of America's most well known fertility doctors. Her success rate at baby-making is what gives future parents hope when all hope is lost. She pioneered the TUSHY Method and BALLS Method to decrease your time to pregnancy. Learn more about the TUSHY Method and find a wealth of fertility resources at www.draimee.org. Other ways to connect with Dr. Aimee and The Egg Whisperer Show: Subscribe to my YouTube channel for more fertility tips!Subscribe to the newsletter to get updates

The Government Contracting Playbook: Leveraging Military Logistics, AI Solutions, and Public Sector Procurement with Kamar PerkinsIn a recent episode of The Thoughtful Entrepreneur Podcast, host Josh Elledge sat down with Kamar Perkins, an Army National Guard veteran and the Founder and President of Protech Consulting Group, to unpack the operational strategies required for small businesses and veteran founders to scale within the federal marketplace. Kamar, a former quartermaster officer and seasoned public sector growth architect, details how military leadership principles translate directly into technical entrepreneurship and government procurement execution. This conversation provides an essential, practical guide for B2B founders, defense contractors, and technology leaders looking to leverage artificial intelligence, navigate agile procurement shifts, secure set-aside certifications, and establish high-trust relationships across government agencies.The Public Sector Growth Architecture: Harnessing Military Operations, AI Tech, and Agile ProcurementThe primary obstacle preventing emerging technology firms from breaking into federal, state, and local government contracting is navigating the dense compliance mandates of the Federal Acquisition Regulation (FAR) while building verifiable past performance. Kamar Perkins explains that military veterans possess a distinct competitive advantage in this sector because core service roles—particularly logistics, supply chain management, and tactical leadership—mirror the complex resource allocation required for high-stakes government projects. Rather than attempting to secure multi-million-dollar prime contracts immediately, small businesses must adopt a phased approach: partnering as subcontractors with established prime vendors, tapping into Service-Disabled Veteran-Owned Small Business (SDVOSB) or 8(a) set-asides, and building a proven track record of execution.Scaling a specialized tech consultancy in the public sector demands delivering high-demand, future-proof software capabilities like artificial intelligence and machine learning tailored to specific agency missions. Because federal decision-makers prioritize data security, system scalability, and ongoing serviceability, technology providers must build robust documentation and clear upgrade paths into every solution. As federal procurement trends shift toward agile acquisition frameworks—which favor iterative project delivery and faster timelines—small firms must position themselves as agile innovation partners. Coupling technical capability with staff who understand public sector culture enables boutique firms to win competitive proposals and deliver measurable operational impact for agency clients.Furthermore, driving long-term enterprise growth across both commercial and government markets requires business leaders to replace transactional cold pitches with intentional, relationship-driven networking. Actively engaging agency contacts, participating in industry trade groups, and sharing authoritative thought leadership across digital channels builds institutional trust long before an official Request for Proposal (RFP) is issued. Maximizing visibility through executive media opportunities, maintaining complete press kits, and consistently following up with strategic partners transforms simple introductions into long-term sub-contracting and prime opportunities. When military operational discipline, cutting-edge AI delivery, and proactive relationship building are synthesized into a single business architecture, small enterprises successfully eliminate procurement friction, protect profit margins, and predictably expand enterprise valuation.About Kamar PerkinsKamar Perkins is the Founder and President of Protech Consulting Group, an Army National Guard veteran, and an expert consultant in federal government contracting and technology implementation. Drawing from a rich background as an Army quartermaster officer specializing in logistics and tactical operations, Kamar guides small business owners and veteran entrepreneurs through public sector procurement. He is a recognized thought leader focused on helping technology firms deploy artificial intelligence, build strategic agency relationships, and navigate government acquisition frameworks.About Protech Consulting GroupProtech Consulting Group is an elite technology advisory firm and government contracting consultancy engineered to help public sector agencies and commercial enterprises deploy advanced software solutions. The firm specializes in delivering custom AI and machine learning platforms, data analytics optimization, agile IT project management, and small business government contracting advisory services. Through specialized procurement guidance and technical execution, Protech Consulting Group enables organizations to navigate complex regulatory environments, eliminate operational bottlenecks, and achieve sustainable growth.Links Mentioned in This EpisodeProtech Consulting Group Official Website: protechconsultinggroup.comKamar Perkins on LinkedIn: linkedin.com/in/kamardperkinsKey Episode HighlightsTranslating Military Logistics into Business Value: How quartermaster and NCO leadership experience provides a foundation for complex project management and operations.Deploying AI Solutions for Federal Agencies: Developing scalable machine learning and data analytics platforms tailored to public sector procurement mandates.Navigating Agile Government Procurement: Strategies for small businesses to start as subcontractors, leverage veteran set-asides, and build past performance.Strategic B2G Relationship Architecture: Building long-term trust with agency decision-makers and prime contractors prior to RFP releases.Executive Media Optimization: Preparing press kits and leveraging podcast appearances to amplify brand authority and attract high-value partners.ConclusionThe conversation with Kamar Perkins underscores that achieving lasting success in government contracting requires a deliberate synthesis of military-grade operational discipline, specialized technical expertise, and persistent relationship building. By standardizing internal compliance protocols, focusing on high-demand tech capabilities like AI, and leveraging strategic network connections, business leaders can transform an emerging contracting firm into a highly structured, self-sustaining enterprise.More from The Thoughtful Entrepreneur

Would you like to get the absolute most out of every workshop you attend? What helps us retain information? And more importantly, how do we take all those incredible things we learn and put them into practice when we get home? Learning something is one thing. Doing something with it is where the magic happens. And that's exactly what I'm going to share with you in this episode. Host: Elicia Crook is a business coach and mentor for massage therapists, sharing the tactics she used to create her business success over 16 years. She is a diploma-qualified remedial massage therapist, using modalities such as Bowen and craniosacral therapy, and has a Cert IV in Workplace Training and Assessment, which she used while teaching massage for several years. Through her career and business experience, Crook discovered who she needed to be and what is required to run a deeply satisfying massage business. Now she takes the Fully Booked Without Burnout blueprint to other therapists around the world to create more success and passion. For more information, visit https://healthleaderco.com/ Resources: I love being a massage therapist, but there was a point where I'd realized I'd built a really busy practice and also accidentally built a business that completely relied on me. If I didn't treat, I didn't earn, and I knew I wanted more, more income, more impact, more freedom, but mostly more choice. I didn't wanna stop being a therapist. I wanted to build a business that supported the life I actually wanted, and learning how to think like a business owner changed everything for me, and that's why I created Mastery. So if you love what you do, but there's a part of you thinking, "I know my business could be more than this," book a Mastery call. You can apply at the bottom on the page and book a call with my Christine or James to get eyes on your business. Let's put 20 minutes of eyes on your business to see what's possible. https://healthleaderco.com/mastery   Making the Leap to a Full-Time Business" https://www.abmp.com/learn/course/making-leap-full-time-business-part-1-mindset   Sponsor: Jane is a practice management platform for health and wellness clinics, used by more than 245,000 practitioners worldwide. Jane helps practitioners schedule appointments, chart treatments, bill insurers, and get paid all in one secure, beautifully designed platform. Learn more about Jane at jane.app/demo and if you're ready to get started, use the code ABMP1MO for a one-month grace period on your new account. For more details, visit jane.app, jane.app/pricing, and jane.app/features.  

What if the AI tools you bought to make your team faster are quietly making that team harder to coordinate?Agility depends less on how quickly you adopt new technology and more on how well you understand the work that technology is supposed to improve.Today, we're going to talk about:- The operational costs buried inside customer-facing work — and why they're so hard to see, let alone measure.- Why layering more automation onto a coordination problem often makes the problem worse.- What it takes to build AI into core workflows so that efficiency and customer experience improve together instead of trading off against each other.To help me discuss this topic, I'd like to welcome, Kevin Yang, Director of AI at Front.About Kevin YangKevin Yang is the Director of AI at Front, the only customer operations platform built for B2B complexity, where he leads the company's AI strategy across automation, analytics, and customer insight. His work is grounded in the belief that the most valuable business intelligence lives inside customer conversations. At Front, Kevin is building AI systems that operate within real workflows—helping over 9,000 businesses better understand what their customers are saying and translate those insights into action with full visibilityKevin joined Front through the acquisition of Idiomatic, the AI-powered voice-of-the-customer platform he founded and led as CEO. Earlier in his career, Kevin worked in frontline support while building his first company, EAT Club, a leading virtual cafeteria serving over 1,000 companies, including Google, Netflix, and Tesla. Kevin Yang on LinkedIn: https://www.linkedin.com/in/yangkevin/---------- Resources ---------- Front: https://www.front.comFront is a customer operations platform that helps organizations manage customer communication across email, chat, voice, SMS, and other channels in one place. The platform is designed for teams handling complex customer relationships, where resolving an issue often requires coordination across multiple people, systems, and departments.We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Learn more: https://advertalize.com/r/491818c79fb1873fChaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose. Learn more: https://aglbrnd.co/r/60a7299222a7bcf1Start building your own apps with Replit and get $20 off. Learn more: https://aglbrnd.co/r/93531742a7625a20Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://aglbrnd.co/r/35ded3ccfb6716baCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.comThe Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company Hosted on Acast. See acast.com/privacy for more information.

What if the AI tools you bought to make your team faster are quietly making that team harder to coordinate?Agility depends less on how quickly you adopt new technology and more on how well you understand the work that technology is supposed to improve.Today, we're going to talk about:- The operational costs buried inside customer-facing work — and why they're so hard to see, let alone measure.- Why layering more automation onto a coordination problem often makes the problem worse.- What it takes to build AI into core workflows so that efficiency and customer experience improve together instead of trading off against each other.To help me discuss this topic, I'd like to welcome, Kevin Yang, Director of AI at Front.About Kevin YangKevin Yang is the Director of AI at Front, the only customer operations platform built for B2B complexity, where he leads the company's AI strategy across automation, analytics, and customer insight. His work is grounded in the belief that the most valuable business intelligence lives inside customer conversations. At Front, Kevin is building AI systems that operate within real workflows—helping over 9,000 businesses better understand what their customers are saying and translate those insights into action with full visibilityKevin joined Front through the acquisition of Idiomatic, the AI-powered voice-of-the-customer platform he founded and led as CEO. Earlier in his career, Kevin worked in frontline support while building his first company, EAT Club, a leading virtual cafeteria serving over 1,000 companies, including Google, Netflix, and Tesla. Kevin Yang on LinkedIn: https://www.linkedin.com/in/yangkevin/---------- Resources ---------- Front: https://www.front.comFront is a customer operations platform that helps organizations manage customer communication across email, chat, voice, SMS, and other channels in one place. The platform is designed for teams handling complex customer relationships, where resolving an issue often requires coordination across multiple people, systems, and departments.We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Learn more: https://advertalize.com/r/491818c79fb1873fChaser is the only Slack-native project management platform that helps teams turn messages into tracked tasks, automate follow-ups, and maintain team-wide visibility, without adopting another tool. Now integrated with Claude and other GenAI tools. Learn more at trychaser.com and use code AGILEBRAND for a 3-month free trial (normal trial is 14 days).The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose. Learn more: https://aglbrnd.co/r/60a7299222a7bcf1Start building your own apps with Replit and get $20 off. Learn more: https://aglbrnd.co/r/93531742a7625a20Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://aglbrnd.co/r/35ded3ccfb6716baCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.comThe Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company Hosted on Acast. See acast.com/privacy for more information.

Most lawyers build damages by documenting what their client earned. Andrew Robb explains how to build damages by proving what your client still could have become.In the 100th episode of Best Practices with Kenny Berger, Andrew shares the framework his firm has developed through decades of catastrophic aviation litigation to uncover, develop, and present damages that many lawyers never think to pursue. Rather than stopping with employment records and economic projections, he explains how to investigate a client's ambitions, opportunities, relationships, and future potential to paint a more complete picture of what was truly taken.What You'll LearnAndrew shares practical strategies for:Developing stronger economic damages by proving future potential, not just past earnings.Investigating the people, experiences, and evidence that reveal your client's unrealized future.Using powerful liability evidence to maximize compensatory damages instead of relying on punitive damages.Building credibility with jurors by presenting realistic damages models and giving them meaningful choices.Conducting root cause analysis to identify the specific failure that caused a catastrophic event.Presenting emotional damages in a way that earns trust instead of creating juror resistance.The Bigger LessonThe conversation goes far beyond aviation.Andrew explains why the most valuable catastrophic cases are often built by asking better questions, looking deeper into your client's story, and making strategic decisions that maximize what your client can actually recover—not simply what a jury might award.Whether you're handling a wrongful death case, a trucking collision, medical malpractice, or any other catastrophic injury claim, this episode offers practical ideas for developing stronger damages evidence, making more thoughtful litigation decisions, and ultimately achieving better outcomes for your clients.

Are you a senior corporate leader or high-performing director relying on your company's learning and development budget to dictate your personal growth and future security?   In this empowering solo episode, host Billy Keels reacts to a powerful life lesson from fellow podcaster Chris Williamson: no one is coming to save you. Billy pulls back the curtain on why market-leading multinationals constantly put their money where their mouth is—investing massive financial resources into technical skills, soft skills, and elite methodologies like MEDDIC or Challenger Sales to fuel their corporate organism. Discover why you must break the habit of putting yourself last, treat your personal transition as your own business line item, and aggressively invest your own time, effort, and capital into guided frameworks that unlock a predictable pathway to optionality while you continue to excel at your 9-to-5.  

Maximizing surgical safety takes more than a static checklist. UAB surgeons Melanie Morris, M.D., Helen Krontiras, M.D., and Adam Beck, M.D., discuss how they approach safety as a continuous improvement process spanning the patient experience. Learn how UAB standardizes care, empowers team members to speak up, and uses registry data to benchmark outcomes and target improvements. The panel also considers how emerging technologies could further advance surgical safety.

In this episode, Dr. Nathaniel J. Wilson shares exciting updates on the future of Wilson University and the expanding opportunities to equip Apostolic leaders around the world.

What if the biggest obstacle to better leadership isn't external—but the stories we tell ourselves?In this episode of The Better Leadership Team Show, I sit down with social psychologist, speaker, and bestselling author Owen Fitzpatrick to discuss his new book, Inner Propaganda: Leading Hearts and Minds Through Turbulent Times.We explore how beliefs shape behavior, why people become attached to limiting ideas, and how great leaders influence lasting change by understanding what truly motivates others. We also discuss intellectual humility, communication, sacred values, asking better questions, and why relationships are becoming even more important in the age of AI.If you want to become a more influential leader and build stronger teams, this conversation offers practical insights you can start applying immediately.Connect with Owen Fitzpatrickhttps://owenfitzpatrick.comPodcast: The Inner Propaganda PodcastLinkedIn: https://www.linkedin.com/in/owenfitzp/Instagram: https://www.instagram.com/owenf23/Facebook: https://www.facebook.com/ofi23Check out Owen's new book!

Your personal brand is not just your resume; it is the story people experience before you ever enter the room.In this episode of Straight Outta Health IT, Christopher Kunney sits down with Dorothea Bozicolona-Volpe, Social Media Marketing and Execution Consultant at Social Espionage, to explore why personal branding has become essential for healthcare IT leaders, clinicians, consultants, vendors, and anyone looking to grow their influence in a competitive industry. Dorothea explains that building a strong personal brand starts with building a community and that being "open for business" means approaching others with an open mind, an open heart, and a genuine willingness to connect.She also challenges the belief that good work alone is enough to create new opportunities. In today's digital and AI-driven world, visibility matters, and professionals need to be intentional about how they present themselves both online and offline. Dorothea shares practical strategies for identifying your audience, selecting the right platforms, engaging with niche communities, and creating content that educates, engages, entertains, emotes, shows empathy, or empowers.Drawing from her global background, intelligence work, marketing expertise, and personal journey, Dorothea offers a thoughtful perspective on what it takes to stand out while remaining authentic. She reminds listeners that personal branding is not about vanity but about creating clarity, fostering meaningful connections, and communicating purpose.Tune in to learn how healthcare professionals can build a personal brand that reflects who they are, opens doors, and helps them stand out with intention!Resources:Connect with and follow Dorothea Bozicolona-Volpe on LinkedIn.Follow Social Espionage on LinkedIn and explore their website!Watch Dorothea Bozicolona-Volpe's TEDxNYIT talk here!

Top Ten from 2025: #1 Maximizing Sexual Connection as Newlyweds to Long Term Marriages and Recovering from a Sexless Marriage with Dr. Clifford & Joyce Penner (Episode 252)   *DISCLAIMER* This episode is intended for adults   Ephesians 5:21 (NIV) Submit to one another out of reverence for Christ.   *Transcription of original episode* Maximizing Sexual Connection as Newlyweds to Long Term Marriages and Recovering from a Sexless Marriage with Dr. Clifford & Joyce Penner (Episode 252)   Questions and Topics We Cover: What are a couple of your most important tips for newlyweds? What are your favorite recommendations to share with couples who want to be proactive and enhance their sexual intimacy, even if things are currently going pretty well? Will you define what constitutes a sexless marriage and share  any trends you've seen over the years?   Thank You to Our Sponsor: The Sue Neihouser Team   Dr. Clifford and Joyce Penner are best known for their pioneer work in encouraging people of all faiths to connect their sexuality with their belief system ─ helping them embrace sex as good and of God. Dr. Clifford is a licensed clinical psychologist and Joyce is a registered nurse and clinical nurse specialist. They are highly respected authors and speakers, in addition to being parents and grandparents.    Dr. Clifford and Joyce Penner's Website   At The Savvy Sauce, we will only recommend resources we believe in! We want you to be aware: We are a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for us to earn fees by linking to Amazon.com and affiliated sites.    Books By Dr. Clifford and Joyce Penner: Enjoy! The Gift of Sexual Pleasure for Women The Married Guy's Guide to Great Sex Restoring the Pleasure The Gift of Sex: A Guide to Sexual Fulfillment Sex FAQ We Didn't Have Time to Cover Today Information on Pelvic Pain   Previous Savvy Sauce Episodes with Dr. Clifford & Joyce Penner: Easy Changes to Enhance Your Sexual Intimacy in Marriage with Dr. Clifford and Joyce Penner Maximizing Sexual Intimacy During the Three Most Challenging Phases of Marriage with Christian Sex Therapist Pioneers, Dr. Clifford and Joyce Penner   Additional Previous Episodes on Sexual Intimacy on The Savvy Sauce: Fostering a Fun, Healthy Sex Life with your Spouse with Dr. Jennifer Konzen Ways to Deepen Your Intimacy in Marriage with Dr. Douglas Rosenau Ten Common Questions About Sex, Shared Through a Biblical Worldview with Dr. Michael Sytsma Hope For Treating Pelvic Pain with Tracey LeGrand Treatment for Sexual Issues with Certified Sex Therapist, Emma Schmidt Talking With Your Kids About Sex with Brian and Alison Sutter Natural Aphrodisiacs with Christian Certified Sex Therapist, Dr. Douglas Rosenau Healthy Sexuality, Emotional Intelligence, and Parenting Children with Autism with Counselor, Lauren Dack Pain and Joy in Sexual Intimacy with Psychologist and Certified Sex Therapist, Dr. Jessica McCleese Identifying and Fighting Human Trafficking with Dr. Jeff Waibel Bridging the Gap Between Military and Civilian Families with Licensed Professional Counselor, Coauthor, Podcaster, and 2015 Military Spouse of the Year, Corie Weathers Enjoying a God-Honoring, Healthy Sex Life with Your Spouse with Certified Sex Therapist and Ordained Minister, Dr. Michael Sytsma Enjoying Parenting and Managing Conversations About Sex with Certified Sex Therapist and Author, Dr. Jennifer Konzen Conflict Resolution, Infidelity, and Infertility with Licensed Psychologist and Certified Sex Therapist, Dr. Jessica McCleese Hormones and Body Image with Certified Sex Therapist, Vickie George Passion Pursuit with Dr. Juli Slattery Female Orgasm with Sue Goldstein Erectile Dysfunction, Premature Ejaculation, and Treatments Available with Dr. Irwin Goldstein Turn Ons, Turn Offs, and Savoring Sex in Marriage with Dr. Jennifer Konzen Desire Discrepancy in Marriage with Dr. Michael Sytsma Answering Listener's Questions About Sex with Kelli Willard Anatomy of an Affair with Dave Carder Supernatural Restoration Story with Bob and Audrey Meisner Healthy Minds, Marriages, and Sex Lives with Drs. Scott and Melissa Symington Female Pornography Addiction and Meaningful Recovery with Crystal Renaud Day Building Lasting Relationships with Clarence and Brenda Shuler Healthy Ways for Females to Increase Sexual Enjoyment with Tracey LeGrand Pornography Healing for Spouses with Geremy Keeton Sexual Sin Recovery for You and Your Spouse (Part Two) Personal Development and Sexual Wholeness with Dr. Sibylle Georgianna Our Brain's Role in Sexual Intimacy with Angie Landry Discovering God's Design for Romance with Sharon Jaynes Sex in Marriage and Its Positive Effects with Francie Winslow, Part 1 Science and Art of Sexual Intimacy in Marriage, Part 2 Making Love in Marriage with Debra Fileta Mutually Pleasing Sex in Marriage with Gary Thomas Sex Series: God's Design and Warnings for Sex: An Interview with Mike Novotny Sex Series: Enhancing Female Pleasure and Enjoyment of Sex: An Interview with Dr. Jennifer Degler Sex Series Orgasmic Potential, Pleasure, and Friendship: An Interview with Bonny Burns  Sex Series: Sex Series: Healthy Self, Healthy Sex: An Interview with Gaye Christmus Sex Series: Higher Sexual Desire Wife: An Interview with J Parker Sex Series: Six Pillars of Intimacy with Tony and Alisa DiLorenzo 215 Enriching Women's Sexual Function, Part One with Dr. Kris Christiansen 216 Enriching Women's Sexual Function, Part Two with Dr. Kris Christiansen 217 Tween/Teen Females: How to Navigate Changes during Puberty with Dr. Jennifer Degler 218 Secrets of Sex and Marriage: Interview with Dr. Michael Sytsma 222 Pornography: Protecting Children and Personal Healing, Victory, and Recovery in Christ with Sam Black Special Patreon Release: Holy Sex: An Interview with Dr. Juli Slattery Special Patreon Release: His Desires and Her Desires in the Bedroom with Dr. Jennifer Konzen 224 Surprising Discoveries of Sex in Marriage: An Interview with Shaunti Feldhahn 227 Resolving Conflict in Marriage with Tony and Alisa DiLorenzo Patreon 28 Re-Release: Protecting Your Marriage Against Unfaithfulness with Dave Carder Patreon 23 Her Desires and His Desires in the Bedroom with Dr. Jennifer Konzen Patreon 26 Holy Sex with Dr. Juli Slattery Patreon 28 Protecting Your Marriage Against Unfaithfulness with Dave Carder Patreon 29 Remaining Sexually Engaged Through The Years with Dr. Michael Sytsma Patreon 49: Story of Healing from Sexual Betrayal in Marriage: An Interview with Bonny Burns Patreon 52 God, Sex, and Your Marriage with Dr. Juli Slattery   Connect with The Savvy Sauce on Facebook or Instagram or Our Website   Please help us out by sharing this episode with a friend, leaving a 5-star rating and review, and subscribing to this podcast.   Gospel Scripture: (all NIV) Romans 3:23 “for all have sinned and fall short of the glory of God,”   Romans 3:24 “and are justified freely by his grace through the redemption that came by Christ Jesus.”   Romans 3:25 (a) “God presented him as a sacrifice of atonement, through faith in his blood.”    Hebrews 9:22 (b) “without the shedding of blood there is no forgiveness.”    Romans 5:8 “But God demonstrates his own love for us in this: While we were still sinners, Christ died for us.”    Romans 5:11 “Not only is this so, but we also rejoice in God through our Lord Jesus Christ, through whom we have now received reconciliation.”    John 3:16 “For God so loved the world that he gave his one and only Son, that whoever believes in him shall not perish but have eternal life.”   Romans 10:9 “That if you confess with your mouth, “Jesus is Lord,” and believe in your heart that God raised him from the dead, you will be saved.”    Luke 15:10 says “In the same way, I tell you, there is rejoicing in the presence of the angels of God over one sinner who repents.”   Romans 8:1 “Therefore, there is now no condemnation for those who are in Christ Jesus”   Ephesians 1:13–14 “And you also were included in Christ when you heard the word of truth, the gospel of your salvation. Having believed, you were marked in him with a seal, the promised Holy Spirit, who is a deposit guaranteeing our inheritance until the redemption of those who are God's possession- to the praise of his glory.”   Ephesians 1:15–23 “For this reason, ever since I heard about your faith in the Lord Jesus and your love for all the saints, I have not stopped giving thanks for you, remembering you in my prayers. I keep asking that the God of our Lord Jesus Christ, the glorious Father, may give you the spirit of wisdom and revelation, so that you may know him better. I pray also that the eyes of your heart may be enlightened in order that you may know the hope to which he has called you, the riches of his glorious inheritance in the saints, and his incomparably great power for us who believe. That power is like the working of his mighty strength, which he exerted in Christ when he raised him from the dead and seated him at his right hand in the heavenly realms, far above all rule and authority, power and dominion, and every title that can be given, not only in the present age but also in the one to come. And God placed all things under his feet and appointed him to be head over everything for the church, which is his body, the fullness of him who fills everything in every way.”   Ephesians 2:8–10 “For it is by grace you have been saved, through faith – and this not from yourselves, it is the gift of God – not by works, so that no one can boast. For we are God‘s workmanship, created in Christ Jesus to do good works, which God prepared in advance for us to do.“   Ephesians 2:13 “But now in Christ Jesus you who once were far away have been brought near through the blood of Christ.“   Philippians 1:6 “being confident of this, that he who began a good work in you will carry it on to completion until the day of Christ Jesus.”

Avios is one of the most valuable—and most overlooked—airline currencies in the points and miles world. In this episode, Deanna from The Points Fly Girl shares how to use Avios to book incredible award flights on airlines like British Airways, Aer Lingus, Iberia, Qatar Airways, and Finnair.You'll learn how to transfer credit card points to Avios, find award availability, avoid costly taxes and fees, and uncover some of the best sweet spots for flights to Europe and beyond. Whether you're just getting started with points and miles or looking to maximize your next redemption, this episode is packed with practical strategies to help you travel farther for fewer points.Mentioned in this Episode:ThePointsFlyGirl.comFollow Deanna on TikTokFollow Deanna on YoutubeRakuten- Mary Ellen (Get 5000 AMEX or Bilt POINTS)Rakuten- Joanna (Get 5000 AMEX or Bilt POINTS)Find Us On Online:Sign Up for the Y! Wonder Travel NewsletterMary Ellen | JoFacebook GroupAffiliate Links:Mary Ellen's Fetch (Use code MARYELLEN!)Joanna's Fetch (Use code JOANNALYNN)Relief Band - Use code WONDERLAND for 25% off!Seats.AeroComfrt.com 15% OFFCardpointersHalara (use code "Wonderland" for 10% off)Our Favorite Credit CardsWe may receive a small commission when you choose to use any of our links to purchase your products or apply for your cards

Welcome to this week’s edition of RealAg on the Weekend with your host Shaun Haney! Today on the show, Haney is joined by brothers Brady and Bailey Berntson based out of Medicine Lake, Montana to talk no-till, seeder setup and crop conditions, as well as Greg Stamp of Stamp Seeds for a discussion about KWS... Read More

As Western Canadian producers navigate tight fall planting windows and unpredictable weather patterns, hybrid fall rye continues to stand out for its high yield potential, natural weed suppression, and expanding market opportunities across the Prairies. Against the backdrop of demo plots at Enchant, Alberta, Shaun Haney caught up with Greg Stamp, seed business manager at... Read More

Tu B'Av masterclass on maximizing love.

In this episode, Michael Blank sits down with investor and business strategist Dani Lynn Robinson to explore how entrepreneurs can build wealth without sacrificing the life they're working so hard to create. After years of building businesses and investing in real estate, Dani shares why true financial freedom isn't just about accumulating assets—it's about creating alignment between your business, investments, and personal goals. She discusses the power of strategic partnerships, building scalable systems, protecting your time, and investing with intention so you can create lasting wealth while maintaining balance. Whether you're an active investor, business owner, or aspiring entrepreneur, this conversation offers practical insights on designing a business and investment strategy that supports the lifestyle you actually want.Key TakeawaysFinancial Freedom Starts with Intentional DesignBuilding wealth isn't just about making more money—it's about creating a business and investment strategy that supports your ideal lifestyle.Systems Create ScalabilityDocumented processes, automation, and the right team allow entrepreneurs to grow without becoming trapped in the day-to-day operations of their business.Strategic Partnerships Accelerate GrowthCollaborating with people whose strengths complement your own creates opportunities that are difficult to achieve alone.Protect Your Time Like Your Most Valuable AssetSuccessful entrepreneurs focus on high-impact activities and delegate everything else to maximize both productivity and quality of life.Diversification Builds Long-Term StabilityExpanding beyond a single business or investment creates multiple income streams and helps reduce overall risk.Relationships Drive Long-Term SuccessBuilding trust, serving others, and maintaining authentic connections often leads to the best investment and business opportunities.Connect with Dani Lynn RobinsonWebsite: https://danilynnrobinson.comLinkedIn: https://www.linkedin.com/in/danilynnrobinson/Instagram: https://www.instagram.com/danilynnrobinson/Facebook: https://www.facebook.com/danilynnrobinsonPodcast: The Purpose Project Podcast (if mentioned during the episode)Connect with our Deal Maker PartnersCheck out all Partners hereAttorney - Swafford Law LLC Mentor - Deal Maker MentoringResourcesConnect with Michael BlankTheFreedomPodcast.com Join the Deal Maker MastermindExplore Michael's Mentoring ProgramReview the Podcast on Apple PodcastsGet the Syndicated Deal AnalyzerGet the Book, Financial Freedom with Real Estate Investing by Michael Blank

Dennis when give the opportunity to take over his families 1800 acre station in New Zealand needed to make it profitable to do so. He focused on increasing production and profit per acre. We discuss how he did that through the type of animal they raise, their grass management and more!Resources Mentioned:Beef and Lamb New ZealandDiary NZIf you are looking to add somebody to your team to help with your farm or ranch numbers, check out John Haskell and his team at ⁠⁠⁠https://www.ranchrightllc.com/⁠⁠⁠.Check out ⁠⁠⁠⁠⁠⁠www.pharocattle.com⁠⁠⁠⁠⁠⁠ for more information on how to put more fun and profit back into your ranching business! As always, check us out at Ranching Returns Podcast on Facebook and Instagram as well as at ⁠www.ranchingreturns.com⁠.For Ranching Returns shirts, hats, and sweatshirts check out https://farmfocused.com/ranching-returns-merch/To get more information on how Ambrook can benefit your operation, check out ambrook.com/ranchingreturnsFollow the link to attend the Bottom Line Conference to hear Kit Pharo, Grant Harder and others!

What if one decision could increase your retirement income for the rest of your life?  In this eye-opening episode of Smart Women Talk, Katana Abbott sits down with nationally recognized Social Security expert and Certified Financial Planner™ Mary Beth Franklin to help women understand one of the most important financial decisions they'll ever make—when to claim Social Security benefits.  From choosing the right claiming age to understanding special rules for married, divorced, and widowed women, Mary Beth explains how thoughtful planning can help maximize lifetime income while avoiding costly mistakes that could permanently reduce your benefits.  You'll discover:Why retirement and claiming Social Security are two separate decisionsHow your claiming age can dramatically affect your lifetime incomeSpecial claiming strategies for married, divorced, and widowed womenCommon Social Security mistakes—and how to avoid themHow to maximize survivor benefits for your familyImportant changes under the Social Security Fairness ActWhen a Social Security "do-over" may still be possible  Whether retirement is just around the corner or still years away, this conversation provides practical guidance every woman should understand before filing for benefits.  The decisions you make today could impact your retirement income for decades to come.  Mary Beth Franklin is a Certified Financial Planner™ professional, veteran financial journalist, and nationally recognized expert on Social Security, Medicare, and retirement income planning. Based in Washington, D.C., she has spent decades helping Americans make informed financial decisions through her writing, speaking, and educational programs. Mary Beth is a sought-after speaker on Social Security and Medicare, a former columnist for InvestmentNews, former Tax and Retirement Editor at Kiplinger Personal Finance, and former congressional correspondent for United Press International. She is also a frequent guest on radio and television programs and hosted the popular Retirement Repair Shop podcast for seven seasons.  To learn more about Mary Beth, visit www.marybethfranklin.com.Smart Women Talk Disclaimer:The information shared in this episode is intended for educational and informational purposes only and should not be considered financial, investment, tax, legal, Medicare, Social Security, or retirement planning advice. Every individual's circumstances are unique. Before making decisions regarding your investments, retirement income, or government benefits, please consult with qualified professionals who can provide guidance based on your personal goals and financial situation.

This week, Dr. Grace Yum welcomes Parham Nabatian, Co-Founder of DocSites, to discuss how a dental practice's website has evolved from a simple online brochure into one of its most valuable patient acquisition tools. From converting website visitors into patients to leveraging AI to improve communication, Parham shares practical strategies to help practices grow more efficiently. Episode Highlights: Building a website that converts visitors into patients Using AI and FAQs to improve patient communication Creating trust through personalized website content Maximizing the software and tools already in your practice Simple ways to improve efficiency and support practice growth Ready to thrive as a dentist and a mom? Join a supportive community of like-minded professionals at Mommy Dentists in Business. Whether you're looking to grow your practice, find balance, or connect with others who understand your journey, MDIB is here to help. Visit mommydibs.com to learn more and become a part of this empowering network today!

Why most sales meetings fail and how to fix them. Mark Mallchok, co-founder of Brella, joins host Mark Hunter to shine a spotlight on what makes meetings genuinely effective and how companies often miss the mark. Drawing on decades of experience backstage at countless corporate gatherings, Mark unpacks the pitfalls and hidden costs organizations face when they approach meetings without clear objectives and planning.  The conversation dives into the cultural drivers behind last-minute preparation, the real value of human connection, and the challenge of measuring return on experience. Listeners will gain a behind-the-scenes perspective on why maximizing engagement and purposeful agenda matter more than ever.

Emma Tessler, founder of Ninety Five Media, breaks down how to stop chasing vanity metrics and start building a revenue-driven social media strategy that actually converts. Learn why shares, saves, and emotional connection matter more than likes and how to create content that works smarter, not harder. In this episode, you'll learn:Why follower count doesn't equal business growth The hidden power of shares, saves, and DMsHow to create entertaining, high-retention contentWhy emotional connection drives conversionsHow to audit and optimize your strategy every quarterEmma's system for planning 3 months of content in just 3 hoursWhen to DIY vs outsource your social mediaIf your social media isn't translating into real business results, this episode will change how you approach content. Learn more: https://ninetyfivemedia.co/Download the Marketing Growth Blueprint: https://courses.ninetyfivemedia.co/marketing-growth-blueprint Shop Binxties: https://binxties.co/

Upgrading & Maximizing the Classics (Colchicine, Allopurinol, etc.) examines how to optimize the use of time-tested gout therapies in today's increasingly complex patients. Through practical case discussions, our expert faculty will address colchicine safety and dosing in chronic kidney disease, selecting first-line therapy for acute flares, initiating and titrating urate-lowering therapy, improving treatment adherence, and navigating challenging scenarios such as gout management in patients with CKD and cardiovascular disease. Panelist: Dr. Angelo Gaffo  Dr. Lisa Stamp  Dr. Michael Pillinger  Dr. Ted Mikuls  Moderator: Dr. Jack Cush

In this episode, host Alyssa Watson, DVM, welcomes back Karen M. Tobias, DVM, MS, DACVS, to discuss her recent Clinician's Brief article, “Maximizing Air Flow Through Stenotic Nares via Ala Vestibuloplasty.” While many find the nasal anatomy confusing and this surgical procedure intimidating, Dr. Tobias guides us through this highly practical approach, demystifying the surgery along the way. Resources: https://cliniciansbrief.com/article/ala-vestibuloplasty-veterinary-surgical-guide https://utrf.tennessee.edu/product-category/realistic-canine-training-models/ https://www.apoquel.com Contact: podcast@instinct.vet Where To Find Us: Website: CliniciansBrief.com/Podcasts YouTube: Youtube.com/@clinicians_brief Facebook: Facebook.com/CliniciansBrief LinkedIn: LinkedIn.com/showcase/CliniciansBrief/ Instagram: @Clinicians.Brief X: @CliniciansBrief The Team: Alyssa Watson, DVM - Host Alexis Ussery - Producer & Multimedia Specialist

His Properties:https://www.hockinghillsescapes.com/WEBINAR LINK:https://shawnmoore.clickfunnels.com/optiniyvvg89sWant to learn more about Vodyssey or start your STR journey. Book a call here:https://meetings.hubspot.com/vodysseystrategysession/booknow?utm_source=vodysseycom&uuid=80fb7859-b8f4-40d1-a31d-15a5caa687b7FOLLOW US:https://www.instagram.com/vodysseyshawnmoorehttps://www.facebook.com/vodysseyshawnmoore/https://www.linkedin.com/company/str-financial-freedomhttps://www.tiktok.com/@vodysseyshawnmooreCONTACT US:support@vodyssey.comChapters00:00:00 Intro00:01:59 Market trends and demand fluctuations00:04:02 Supply growth and market competition00:05:48 Differentiation through design and amenities00:08:07 Importance of unique property features00:09:56 Trends in booking lead times00:12:04 Revenue management and pricing strategies00:14:52 Maximizing weekend vs weekday pricing00:17:00 Tools and strategies for dynamic pricing00:19:00 Management tools and market changes

The Drive dove into the numbers and wondered if the Chiefs will shift the offense to do what makes Kenneth Walker effective.

Cameron is joined by Alexis Gallati, Founder & Tax Strategist at Cerebral Tax Advisors, to explore the critical role of tax planning for practice owners. They discuss the importance of having a tax strategist versus a traditional CPA, recognizing when to seek expert advice, and various strategies to optimize tax savings. Key topics include understanding ordinary income, the implications of entity structure, maximizing deductions, and retirement account strategies such as backdoor Roth IRAs and 401(k) plans. They emphasize the need for proactive tax planning to preserve wealth and enhance financial outcomes for medical practice owners. Cameron and Alexis talk about various strategies for maximizing retirement contributions, involving children in financial planning, leveraging equipment for tax benefits, and utilizing real estate as a wealth-building strategy. They highlight the importance of proper planning and education in financial matters, as well as the potential for significant tax savings through strategic investments and contributions. Listen In!Thank you for listening to this episode of Medical Millionaire!Takeaways:Tax optimization is crucial for practice owners.Most CPAs focus on historical data, not future planning.Recognizing when to seek a tax strategist is key.Ordinary income is taxed differently than passive income.Entity structure impacts tax liabilities significantly.Maximizing deductions can lead to substantial savings.Understanding basis is essential for tax planning.Retirement accounts offer significant tax-saving opportunities.The backdoor Roth IRA is a strategy for high earners.401(k) plans can provide both pre-tax and post-tax benefits. Maxing out retirement contributions can lead to significant savings.Cash balance plans allow for higher retirement contributions.Involving children in the family business can provide tax benefits.Children can earn money and contribute to their Roth IRAs.Equipment purchases can be written off using Section 179.Bonus depreciation allows for immediate tax deductions on equipment.Real estate can be used to offset ordinary income through depreciation.Proper documentation is crucial for tax strategies.Planning ahead is essential for financial success.Working with a knowledgeable tax strategist can maximize benefits.Medical Millionaire: The Blueprint for Scaling a World-Class Medical Aesthetics PracticeWelcome to Medical Millionaire, the go-to podcast for forward-thinking Medspa owners, Medical Aesthetics leaders, Plastic Surgery & Dermatology practices, Concierge Wellness clinics, and Elective Healthcare entrepreneurs who are ready to scale with intention and operate like a true, high-performing business.If you're building, growing, optimizing, or preparing to exit your aesthetics or wellness practice, this show is your competitive advantage.Hosted by Cameron Hemphill Your Guide to Sustainable, Scalable Growth Your host, Cameron Hemphill, is one of the most trusted growth strategists in Medical Aesthetics and Elective Wellness.With over 10 years in the industry, Cameron has helped scale 1,000+ practices and more than 2,300 providers, working alongside the most recognized KOLs, national brands, EMRs, tech companies, and private equity groups, shaping the future of aesthetics. From marketing to operations, from finance to leadership, Cameron brings a real-world, data-driven perspective on what it takes to turn a practice into a powerful business engine.What This Podcast Is All About: Each episode takes you behind the scenes of the fastest-growing practices in the country, revealing the systems, strategies, and mindset required to win in today's Medical Aesthetics landscape.Expect tactical insights, step-by-step frameworks, and conversations with:Industry thought leadersTop injectors & medical directorsEMR & tech innovatorsOperations expertsMarketing strategistsPrivate equity & M&A advisorsWellness and longevity pioneersThis is where aesthetics, business, technology, and wellness converge. What You'll Learn on Medical Millionaire Every week, you'll access expert guidance to help you scale profitably and predictably, including:Marketing & Brand PositioningCRM + Lead Management SystemsPatient Acquisition & ConversionEMR Optimization & Tech Stack ArchitectureSales Psychology & Consultation MasteryFinance, KPIs, and Practice EconomicsOperational Workflows & AutomationIndustry Trends Backed by Real Benchmark DataPatient Retention & Lifetime Value ExpansionMindset, Leadership & Team DevelopmentWhether you're opening your first location or running a multi-million-dollar enterprise, you'll gain the clarity and direction to grow with confidence. A Show Designed for Every Stage of Practice Growth Medical Millionaire breaks down the journey into four essential stages, showing you exactly how to move from one to the next:Startup – Build the foundation and attract your first wave of patientsGrowth – Scale revenue, expand services, and strengthen operationsOptimize – Increase efficiency, margins, and customer experienceExit – Prepare your practice for maximum valuation and acquisitionIf You're Ready to Grow, This Is Where You Start. Tune in weekly for actionable insights, expert interviews, and the exact playbooks high-performing practices use to dominate their markets. This is the podcast for Medspa owners who want more than a job; they want a scalable, profitable, industry-leading business. Welcome to Medical Millionaire.Let's build your practice into the empire it deserves to be.

In this episode we're breaking down exactly what collagen is, how it works inside your body, and why it's become one of the biggest conversations in health, fitness, and longevity.We explain:• Why collagen production drops after your 20s• The difference between Type I and Type II collagen• Why collagen helps joints, cartilage, tendons, skin, and connective tissue• Why collagen protein DOES NOT count toward your daily protein goals• Why movement makes collagen work better• How much collagen you actually need each day• What to look for (and avoid) when buying a collagen supplementIf you've ever wondered whether collagen is just another wellness trend or one of the few supplements actually backed by solid science, this episode is for you.Glow Up Discount code: podcast⁠Glow Up by CVG⁠(00:00:40) Welcome to the Podcast(00:07:36) Why collagen is having a major moment(00:19:55) What collagen actually is and how it works(00:29:03) Joint pain, cartilage & aging explained(00:37:50) Tendons, ligaments & different types of collagen(00:47:18) Skin, hair & nail benefits(00:51:52) Why collagen protein doesn't count toward protein intake(00:57:40) Maximizing collagen, dosage, timing and what to look for(01:05:55) Glow Up discountWant to leave the TTSL Podcast a voicemail? We love your questions and adore hearing from you. https://www.speakpipe.com/TheThickThighsSaveLivesPodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The CVG Nation app, for ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠iPhone⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The CVG Nation app, for Android⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Fitness FB Group⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Thick Thighs Save Lives Workout Programs⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Constantly Varied Gear's ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Workout Leggings⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Disclaimer: The information shared in this podcast is for educational and informational purposes only and is not intended as medical advice. The views expressed are those of the hosts and guests and should not be used as a substitute for professional medical diagnosis, treatment, or advice. Always consult your physician or qualified healthcare provider before making changes to your diet, exercise routine, medications, supplements, or healthcare plan.Statements regarding supplements and wellness products have not been evaluated by the Food and Drug Administration and are not intended to diagnose, treat, cure, or prevent any disease. 

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In this episode of the Shared Practices Podcast, Dr. George Hariri answers listener requests to strip away group practice bias and focus entirely on elite solo dental practice management. Many practitioners mistakenly believe that a multi-provider clinic is the only route to high-level profitability, but optimizing a solo model can create an incredibly low-stress, high-income asset. George outlines the precision growth pathways and details how transitioning from a standard solo dentist to a "productive solo" or "smart solo" can elevate your take-home pay to $400,000 and beyond.To break out of the low-revenue trap, you must learn how to manipulate the core levers of dental practice management.Implement these critical solo growth metrics and systems in your practice:Build the 2-2-2 Operational Balance: Scale your patient base to seamlessly support two full-time hygienists, two front office team members, and two dental assistants to perfectly balance your diagnostic and administrative workflow.Master Hygiene Benchmarks: Understand that there are roughly 200 active patients per day of hygiene. Target a base of 1,600 active patients to completely fill two full columns of hygiene working four days a week.Hit Case Acceptance Targets: Elevate your presentation style to consistently achieve an 80% patient acceptance rate (patients saying yes to at least one treatment item) and a 30% to 40% total dollar value treatment acceptance rate.Lock In Diagnostic Consistency: Develop clear, research-backed clinical diagnostic protocols so your hygiene team can confidently co-diagnose and tee up treatment plans before you even enter the room.Maximize Time Efficiency: Unlike group practices that focus heavily on analytical data points, a solo practitioner must treat their personal clinical time as the most valuable asset in the building by delegating every legally allowed task to auxiliaries.Transforming your solo office requires moving past basic survival and adopting highly intentional dental practice management strategies.Ready to take the next step in your dental practice journey? Visit https://sharedpractices.com to learn more about our Buyer Representation and Coaching services, designed to help dentists buy, grow, and optimize profitable practices. You can also use our Free Look to evaluate dental practice opportunities with real data before making a decision. For daily Dental Moneyball insights, strategy tips, and updates, follow us across our social channels.

Thanks to our Partners, NAPA TRACS, Today's Class, KUKUI, and Pit Crew Loyalty Watch Full Video Episode Your posted labor rate may not be the labor rate you're actually collecting, and that gap could be costing your shop thousands of dollars every month. In this episode, Carm Capriotto is joined by Andy Adams, a shop owner and business coach, and Rob Sperring, a service manager, to explain why the Effective Labor Rate (ELR) is one of the most overlooked yet impactful performance metrics in the auto repair industry. They break down why ELR falls short, how it affects profitability, and the practical steps every shop owner can take to close the gap. What You'll Learn What Effective Labor Rate (ELR) is and why it matters more than your posted door rate.Why healthy shops should collect at least 90 percent of their posted labor rate.How unbilled diagnostic time, underpriced canned jobs, and complimentary inspections reduce profitability.Why excessive discounting, even with good intentions, can quietly erode your bottom line.How shifting consumer buying habits make labor profitability more important than ever.Why improving ELR creates opportunities to increase technician compensation and strengthen your business.How auditing repair orders can uncover missed labor opportunities and unnecessary discounts.Why updating your labor matrix and canned jobs can immediately improve financial performance.How sharing KPI's (key performance indicators) with your team builds ownership and accountability throughout the shop. Effective Labor Rate is more than a financial matrix; it's a direct measure of how well your shop captures the value of the work it performs. By understanding where labor revenue is being lost and making intentional operational improvements, shop owners can increase profitability, invest in their teams, and build a stronger, more sustainable business. Rob Sperring, Grand Rapids Motorcar, Grand Rapids, MI Andy Adams, Adams Garage, Terre Haute, IN. Coach at Repair Shop of Tomorrow Thanks to our Partner, NAPA TRACS NAPA TRACS will move your shop into the SMS fast lane with onsite training and six days a week of support and local representation. Find NAPA TRACS on the Web at http://napatracs.com/ Thanks to our Partner, Today's Class Optimize training with Today's Class: In just 5 minutes daily, boost knowledge retention and improve team performance. Find Today's Class on the web at https://www.todaysclass.com/ Thanks to our Partner, KUKUI Stop juggling multiple marketing tools. KUKUI's integrated platform delivers 4x better website conversions, automated follow-up, and real-time ROI tracking. Get industry-leading customer support with KUKUI at https://www.kukui.com/ Thanks to our Partner, Pit Crew Loyalty You're probably tired of chasing new customers who never return. We understand. Pit Crew Loyalty ends the one-and-done cycle, turning first visits into lasting, reliable revenue at https://www.pitcrewloyalty.com/ Connect with the Podcast: Visit the Website:https://remarkableresults.biz/Subscribe on YouTube:https://www.youtube.com/carmcapriottoFollow on Facebook:https://www.facebook.com/RemarkableResultsRadioPodcast/Follow on LinkedIn:https://www.linkedin.com/in/carmcapriotto/Follow on Instagram:https://www.instagram.com/remarkableresultsradiopodcast/Join Our Virtual Toastmasters Club:https://remarkableresults.biz/toastmastersJoin Our Private Facebook Community:https://www.facebook.com/groups/1734687266778976Join our Insider List:https://remarkableresults.biz/insiderAll books mentioned on our podcasts:https://remarkableresults.biz/booksOur Classroom page for personal or team learning:https://remarkableresults.biz/classroomBuy Me a Coffee:https://www.buymeacoffee.com/carmSpecial episode collections:https://remarkableresults.biz/collections The Automotive Repair Podcast Network: https://automotiverepairpodcastnetwork.com/ Remarkable Results Radio Podcast with Carm Capriotto: Facilitating Wisdom Through Story Telling and Open Discussion. https://remarkableresults.biz/Diagnosing the Aftermarket A to Z:...

Got Questions?⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://calendly.com/conrad-rodriguez/30-minute-coaching-session⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Get THE BEST PENIS EXTENDER ON THE MARKET! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠CLICK HERE⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠REDDIT PROGRESS LOG⁠Chapters00:00 Introduction and focus on girth expansion techniques00:28 Experimenting with manual stretches and tissue preparation01:21 Focus on maximizing girth through manual and heat methods02:15 Importance of manual stretches as foundation for gains03:05 Warm-up routines: stretches and directional pulls04:26 Using heat to enhance tissue expansion05:40 Edging and heat combination for optimal gains07:45 Cautionary advice on jelqing and advanced techniques09:30 Maximizing erection during PE for better expansion10:33 Hydration and gradual progress in PESupport the Show Click a Link BelowBelow

We all like to say we like doing hard things, but are we cherry picking those experiences? Today, we dive into how most of us tend to create the best conditions and chase good days by taking shortcuts. We argue that creating friction in training is really the ultimate way to prepare for the hardest days - race days. How long can you go without reaching for a training crutch when things aren't going well? Do you figure out a way or just take the easy route? Doing something hard usually means it's uncomfortable and today we look at ways to seek that out so you're at your strongest on race day. Topics: The heat is on in training and racing The Tour Trainer silence Swimming in hot water and or elevation Running and cycling in heat Is it heat acclimation or building fitness or both? Race day boosts Handling long trainer rides How long can you hold off your fix? Always using a training crutch Transitions in day to day life Clear goals Maximizing the best we can be Creating FRICTION in training Really preparing for the hardest days Coddling to protect our ego Quit analyzing every session Chasing good days with shortcuts Cherry picking hard things Hard is uncomfortable Mike Tarrolly - mike@c26triathlon.com Robbie Bruce - robbie@c26triathlon.com

“We can track everything.” Connect With Our SponsorsSolventum - https://go.solventum.com/clarityGreyFinch - https://greyfinch.com/jillallen/A-Dec - https://www.a-dec.com/orthodonticsSmileSuite - https://getsmilesuite.com/ Summary In this episode of Hey Docs!, Jill sits down with Scott Hansen to discuss his journey in the orthodontic field and the creation of LeadSigma, a company focused on improving patient engagement and practice growth through innovative solutions. The discussion highlights the critical importance of managing new patient calls, leveraging AI technology for better patient interaction, and understanding patient attribution to make informed marketing decisions. The conversation emphasizes the need for collaboration between orthodontic practices and marketing agencies to achieve optimal results. Jill and Scott discuss the integration of marketing and operational systems in healthcare practices, emphasizing the importance of a feedback loop to measure marketing investments. They explore the role of AI in enhancing business efficiency, sharing insights on practical applications and the need for cohesive team collaboration. The discussion highlights the potential of technology to transform practices and improve patient engagement, while also addressing the challenges of implementation and the importance of providing value in networking. Connect With Our Guest LeadSigma - https://www.leadsigma.com/ AI Model Training Spreadsheet: https://docs.google.com/spreadsheets/d/1Pb6FFSHbguxIQwCxbC_lSYDUeKYoQhuNi3IU8u-iAjk/edit?usp=sharingTakeaways Scott Hansen went from managing an orthodontic practice to founding LeadSigma.Missed new patient calls represent a significant revenue loss for practices.LeadSigma's AI technology helps practices manage patient calls effectively.Understanding patient attribution is crucial for marketing success.Data-driven decisions empower practices to optimize their marketing strategies.Collaboration between doctors and marketing agencies enhances practice growth.Practices often overlook the importance of follow-up on missed calls.Tracking leads and conversions provides valuable insights for practices.Effective communication is key to converting leads into patients. The integration of marketing and operational systems is crucial for practice success.A feedback loop is essential for measuring marketing investments.Practical tools and systems must be in place for effective AI implementation.Team collaboration is key to leveraging AI effectively.Networking should focus on providing value to be effective.Chapters 00:00 Introduction04:38 Missed Calls and Lost Revenue10:14 CoPilot AI Receptionist13:39 Marketing Attribution and ROI21:38 Feedback Loop and Accountability24:55 Using AI Inside LeadSigma28:54 AI Call Coaching and HIPAA34:00 Context Engineering Tips34:29 How to Contact Scott and LeadSigma Episode Credits:  Hosted by Jill AllenProduced by Jordann KillionAudio Engineering by Garrett LuceroAre you ready to start a practice of your own? Do you need a fresh set of eyes or some advice in your existing practice?Reach out to me- www.practiceresults.com.    If you like what we are doing here on Hey Docs! and want to hear more of this awesome content, give us a 5-star Rating on your preferred listening platform and subscribe to our show so you never miss an episode.    New episodes drop every Thursday!   

Ash welcomes Dr. Ruth Mannschreck to discuss lessons learned from selling her dental practice and outlines practical steps for dentists preparing to transition out of ownership. They discuss one of her biggest mistakes: not preparing early enough for the sale, which resulted in leaving value on the table when Dr. Ruth sold her practice. She explains why it's critical to consider not just the financial aspects but also operations, team culture, and personal goals well in advance of selling.Dr. Ruth also covers key areas that practice owners should address, including increasing practice value, decreasing risk for buyers, identifying competitive advantages, and ensuring the business can run smoothly without the owner. She suggests involving the team in the transition process, even encouraging interactions between staff and potential buyers before a sale is finalized. The episode wraps up with Dr. Ruth's advice on creating a self-sustaining practice and her offer of a free checklist for those looking to prepare for a future sale.Key Topics Discussed:Early preparation for selling a dental practiceDetermining your post-sale goals and non-negotiablesIncreasing practice value through team, systems, and cultureReducing buyer risk by addressing dependencies and diversifying referralsPractice branding and its impact on the saleInvolving your team in the buyer selection processBuilding a competitive advantage beyond financialsCreating a self-sustaining, turnkey operationHandling challenges with delegation and letting go of controlFree practice transition checklist resource

Want to build a seven-figure brand the way Elina did? Get the free $100K/month playbook and a quick diagnostic that shows you exactly which step to focus on next: https://capitalism.com/100K Elina got laid off from her tech job, read 12 Months to $1 Million, and decided to bet on herself before she had any proof it would work. Eighteen months later she'd built Dood Woof, an all-natural detangler brand for doodle owners, into a seven-figure business by following our eight-step framework almost exactly.  In this conversation we break down how she went from a $10,000 launch to 100 sales a day, why the community she built became her most valuable asset, and how she survived the day she thought she'd have to shut everything down. Links mentioned in the podcast:  ► Free $100K/month playbook, plus a quick diagnostic tool: https://capitalism.com/100K  ► Get on the waitlist for our next audience-building workshop: https://capitalism.com/bootcamp (0:00) Why Elina became one of our shining $1M success stories, and why it wasn't a clean ride (1:40) Laid off from tech, and the book that started it (4:00) The hardest part: betting on herself before any proof existed (6:00) How the 1% community carried her through the no-traction months (8:00) Down to one month's rent, six months building the audience before launch (9:30) Why a small, engaged audience de-risks your first launch (10:30) Choosing the product: doodle owners and ChatGPT prompt behind the detangler spray (12:30) Project-managing the launch, and the buyers who paid just to support her (15:00) First launch: $5K week one to $50K/month by month four (16:30) What $10K a month really felt like: relief, not celebration (19:00) The flywheel: turning reviews into content into sales (step 6) (21:30) First reviews, leaky bottles, and the customer with cancer (24:00) The Facebook group that produced 50-cent email leads (26:30) TikTok Shop, UGC, and paid traffic to Amazon (27:30) "When can I pay myself?": inventory financing and premium pricing (29:30) Her first 100-sale day, and the truth about market size (34:00) 13 months to $1M, and a $2M/year business (37:00) The community as the real asset, and the plan to acquire other brands (42:00) "On paper, you're a millionaire": cash flow vs. enterprise value (45:00) The dark day: groomer backlash, and how the community saved the brand (48:00) Why every wall she hit turned into growth on the other side (49:00) After the launch: building the bridge to 25 sales a day (50:00) Maximizing the value of a single customer (53:00) Why you never stop the grindy things (the Chewy lesson) (55:00) The campfire moment: a seat at the table (58:00) The two 2025 goals that both came true (reality show + this podcast) (59:00) Her advice to the scared version of herself two years ago DISCLAIMER: The information contained on this podcast channel and the resources available for download/viewing through this podcast channel are for educational and informational purposes only.

Welcome back to The Catholic Coaching Podcast with Matt and Erin! In Episode 304, we are continuing our sub-series on how different temperaments navigate healthy, holy conflict resolution using the PACE Framework (Pause, Assume Goodwill, Clarify, Engage).Today, we are shifting into the introverted temperaments to focus on the Melancholic.Melancholics have a beautiful, rich interior life, but when it comes to conflict, their deep analytical minds can easily derail them. Instead of working toward unity, a melancholic might find themselves over-preparing, scripting imaginary arguments, and holding others to unspoken, black-and-white "ideals."In this episode, Matt and Erin break down:The Melancholic Profile: Understanding how slow-activating, long-lasting emotional responses can fuel long-term resentment.The "Should" Trap: How rigid ideals can become measuring sticks used to bludgeon relationships rather than build them.Maximizing the Pause: Why using the FACE Protocol (from Episode 300) and physical journaling is vital to break the rumination loop.Locus of Control in Communication: Learning to co-create ideals with others rather than manipulating them into conforming to yours.If you are a melancholic—or love someone who is—this episode offers highly practical, compassionate guardrails to help you stop rehearsing arguments and start restoring communion.If this episode helped you gain self-awareness, please like, subscribe, and share it with a friend!Send us Fan MailSupport the show____________________► Make sure to SUBSCRIBE to the Metanoia Catholic YouTube Channel!► Discover How God Is Speaking to You In Prayer► Find out your temperament: Take the Free Quiz► Get the Conversation Starter Guide (FREE) ► Take the Quiz: WHAT TYPE OF COACH ARE YOU?► GET THE DAILY SEVEN JOURNAL!This interactive journal will help you transform your life from the inside out by teaching you how to grow in gratitude, set healthy goals, and gain mastery over your thoughts.► JOIN THE ACADEMY!Your online resource of classes, tools, and community to ramp up your growth and really change your life. Learn from the Metanoia Catholic coaches in webinars, live coaching calls, Lectio Divina, and more with your monthly membership.____________________► SUB...

Brent Peterson interviews Jason Nyhus, General Manager at Shopware, about the latest trends in B2B commerce, platform flexibility, and the future of digital experiences. They explore the challenges and opportunities in regulated industries, the importance of adaptable platforms, and innovative features like live shopping. Key  topicsB2B market growth and trendsPlatform flexibility and customizationRegulated industry challenges and complianceImpact of private equity on technology choicesFuture of digital customer experiencesRole of AI and agentic systems in commerceIntegration and extension of e-commerce platformsRisks of platform lock-in and cobbling appsThe evolution of B2C and B2B convergenceChapters00:00 Introduction to B2B E-Commerce Dynamics01:47 Insights from the B2B Report05:27 Navigating Private Equity Expectations07:19 Understanding Regulated Industries12:02 The Complexity of B2B Commerce16:23 The Future of B2B Experiences20:50 Shopware Innovations and Future Directions ResourcesGet the Shopware B2B Report here: https://contentcucumber.com/b2b-reportShopware Official Website - https://www.shopware.comContent Cucumber - B2B Report - https://contentcucumber.comShopware Intelligence - https://www.shopware.com/en/shopware-intelligence/Shopware Payments - https://www.shopware.com/en/shopware-payments/Vibe Coding - https://vibecoding.comGuest linksLinkedIn - https://www.linkedin.com/in/jasonnyhusTwitter - https://twitter.com/jasonnyhus

Practicing ʻukulele is the most critical part of playing to get right. All of your work here compounds into your skills. Just practicing any ol' way can work, but you're often leaving progress on the table.Here are some actionable tips to help you improve your productivity in the woodshed and get more musical skill along with your ʻukulele chops.Support the showJoin my newsletter! It's free and I won't spam you. Get updates on new lessons and access to exclusive resources: https://liveukulele.com/signup/Support the podcast:Become a supporting member: https://liveukulele.com/register/supporting-member/?coupon=SUPPORT5Buy video lessons or a book: https://liveukulele.com/store/ Use my Sweetwater affiliate link next time you need to buy some gear! https://sweetwater.sjv.io/9WbER0.Gear I use to create this podcast: https://liveukulele.com/about/my-gear/#recordingCREDITS- Hosted, produced, edited, and mixed by Brad Bordessa - Theme music by Brad Bordessa: "Fallout," "Eat You," and "Sister's Got a Gun" available on https://bradbordessa.bandcamp.com/

The loss of a spouse is one of life's most difficult transitions, and for many retirees, it can also result in a significant reduction in Social Security income. Richard Rosso & Jonathan McCarty explain the Social Security "Widow's Penalty," why survivor benefits often leave widows and widowers with less household income, and the planning strategies that can help protect your retirement. We discuss the importance of delaying Social Security when appropriate, planning for life as a surviving spouse, Roth conversions, IRA withdrawal strategies, qualified charitable distributions (QCDs), and estate planning fundamentals that can help preserve wealth for the next generation. You'll also learn why communication between spouses is essential, how the step-up in basis can benefit heirs, why holding assets with large unrealized losses may create unintended consequences, and how thoughtful planning today can reduce financial stress tomorrow. If you're married, widowed, approaching retirement, or helping aging parents prepare for the future, this episode offers practical guidance on protecting both your income and your legacy. 0:00 INTRO 0:19 - America's 250th & Buc-cee's 5:42 - Narrative Busters & Stock Stories 6:48 - Commemorative SS Card 8:16 - American Ingenuity - Automotive Deep Scrub, Carpet Cleaning 12:40 - Widows' Penalty with Social Security 16:30 - How to plan for living single as Senior - Roth Conversions & IRA Withdrawals 18:25 - Importance of Delaying Social Security 22:41 - Importance of Estate Planning Basics 26:23 - Qualified Charitable Distributions to Reduce IRA RMD's 28:45 - Keeping the exemption for Two 31:02 - Importance of Communication - Who's Left Behind? 33:40 - Maximizing w Step Up in Basis - taking the losses before you pass 35:21 - Don't Die with Assets Holding Losses 39:21 - Closing thoughts - Plan Ahead & Catch Up Hosted by RIA Advisors Director of Financial Planning, Richard Rosso, CFP, w Senior Investment Advisor, Jonathan McCarty, CFP Produced by Brent Clanton, Executive Producer ------- Do you enjoy our content? Rate us on Google: https://bit.ly/4b9JtEo ------- Watch Today's Full Video on our YouTube Channel: https://youtube.com/live/iHJLWOZY4NQ ------- Watch our previous show, "Milton Friedman Was Mostly Right" https://youtube.com/live/qDTBlhH8YGY ------- Get more info & commentary: https://realinvestmentadvice.com/insights/real-investment-daily/ ------- * REGISTER for our next Candid Coffee, "Narrative Busters: Market Stories Investors Should Approach With Caution," Saturday, July 18, 2026: https://streamyard.com/watch/RfJtCj2byfDr --- Visit our Site: https://www.realinvestmentadvice.com Contact Us: 1-855-RIA-PLAN --- Subscribe to SimpleVisor : https://www.simplevisor.com/register-new --- Connect with us on social: https://twitter.com/RealInvAdvice https://twitter.com/LanceRoberts https://www.facebook.com/RealInvestmentAdvice/ https://www.linkedin.com/in/realinvestmentadvice/ #SocialSecurity #WidowsPenalty #RetirementPlanning #EstatePlanning #FinancialPlanning

The loss of a spouse is one of life's most difficult transitions, and for many retirees, it can also result in a significant reduction in Social Security income. Richard Rosso & Jonathan McCarty explain the Social Security "Widow's Penalty," why survivor benefits often leave widows and widowers with less household income, and the planning strategies that can help protect your retirement. We discuss the importance of delaying Social Security when appropriate, planning for life as a surviving spouse, Roth conversions, IRA withdrawal strategies, qualified charitable distributions (QCDs), and estate planning fundamentals that can help preserve wealth for the next generation. You'll also learn why communication between spouses is essential, how the step-up in basis can benefit heirs, why holding assets with large unrealized losses may create unintended consequences, and how thoughtful planning today can reduce financial stress tomorrow. If you're married, widowed, approaching retirement, or helping aging parents prepare for the future, this episode offers practical guidance on protecting both your income and your legacy. 0:00 INTRO 0:19 - America's 250th & Buc-cee's 5:42 - Narrative Busters & Stock Stories 6:48 - Commemorative SS Card 8:16 - American Ingenuity - Automotive Deep Scrub, Carpet Cleaning 12:40 - Widows' Penalty with Social Security 16:30 - How to plan for living single as Senior - Roth Conversions & IRA Withdrawals 18:25 - Importance of Delaying Social Security 22:41 - Importance of Estate Planning Basics 26:23 - Qualified Charitable Distributions to Reduce IRA RMD's 28:45 - Keeping the exemption for Two 31:02 - Importance of Communication - Who's Left Behind? 33:40 - Maximizing w Step Up in Basis - taking the losses before you pass 35:21 - Don't Die with Assets Holding Losses 39:21 - Closing thoughts - Plan Ahead & Catch Up Hosted by RIA Advisors Director of Financial Planning, Richard Rosso, CFP, w Senior Investment Advisor, Jonathan McCarty, CFP Produced by Brent Clanton, Executive Producer ------- Do you enjoy our content? Rate us on Google: https://bit.ly/4b9JtEo ------- Watch Today's Full Video on our YouTube Channel: https://youtube.com/live/iHJLWOZY4NQ ------- Watch our previous show, "Milton Friedman Was Mostly Right" https://youtube.com/live/qDTBlhH8YGY ------- Get more info & commentary: https://realinvestmentadvice.com/insights/real-investment-daily/ ------- * REGISTER for our next Candid Coffee, "Narrative Busters: Market Stories Investors Should Approach With Caution," Saturday, July 18, 2026: https://streamyard.com/watch/RfJtCj2byfDr --- Visit our Site: https://www.realinvestmentadvice.com Contact Us: 1-855-RIA-PLAN --- Subscribe to SimpleVisor : https://www.simplevisor.com/register-new --- Connect with us on social: https://twitter.com/RealInvAdvice https://twitter.com/LanceRoberts https://www.facebook.com/RealInvestmentAdvice/ https://www.linkedin.com/in/realinvestmentadvice/ #SocialSecurity #WidowsPenalty #RetirementPlanning #EstatePlanning #FinancialPlanning

Watch Us On YouTube! Enjoy our ongoing benefit for annual subscribers of our Slack community. Annual subscribers receive a free Points Path Alerts subscription OR a 30% discount on Points Path Pro. A shorter episode this week—but no shortage of travel stories. Richard is back from a three-night stay at Miraval Berkshires, and he gives his honest assessment of Hyatt's luxury wellness resort. While the activities, instructors, and relaxation lived up to expectations, the property itself left him wondering whether it's worth the hefty nightly price tag. The conversation compares Miraval Berkshires to the Austin property, discusses how Hyatt's free night certificates work at Miraval, and shares which experiences were actually worth booking. The guys also take a mid-year look at their elite status progress. Richard has intentionally stepped off the airline status treadmill, while Ed reflects on just how difficult it has become for even frequent business travelers to earn enough miles for aspirational family travel. Finally, they close with a candid conversation about life as road warriors, balancing work with family, and why sometimes the hardest part of travel isn't the flights—it's walking away from the people waiting at home. Get hydrated like Ed in Vegas with Nuun Use my Bilt Rewards link to sign-up and support the show! If you enjoy the podcast, I hope you'll take a moment to leave us a rating. That helps us grow our audience! If you're looking for a way to support the show, we'd love to have you join us in our Travel Slack Community.  Join me and other travel experts for informative conversations about the travel world, the best ways to use your miles and points, Zoom happy hours and exciting giveaways. Monthly access Annual access Personal consultation plus annual access We have witty, funny, sarcastic discussions about travel, for members only. My fellow travel experts are available to answer your questions and we host video chats multiple times per month. Follow Us! Instagram: https://www.instagram.com/milestogopodcast/ TikTok: https://www.tiktok.com/@milestogopodcast Ed Pizza: https://www.instagram.com/pizzainmotion/ Richard Kerr: https://www.instagram.com/kerrpoints/ ✈️  What We Cover in This Episode ✈️ Richard's review of Miraval Berkshires Is it worth 65,000 Hyatt points—or $2,500 per night? The biggest strengths and biggest disappointments Why the property grew on him over three days ✈️ How Miraval Berkshires compares to other Miraval resorts Differences from Austin Activities, dining, and property layout Which resort they'd choose next ✈️ Maximizing a Miraval stay Using Hyatt points and free night certificates Activity credits and paid experiences Which classes were actually worth booking ✈️ A look at the new Miraval Red Sea Hyatt's newest wellness destination Introductory pricing Whether either of them would make the trip ✈️ Mid-year elite status check Richard's decision to stop chasing airline status And his progress toward Hyatt Globalist Why loyalty strategies continue to evolve ✈️ Is airline status still worth pursuing? Rising award prices Diminishing returns for frequent flyers Why flexibility is becoming more valuable than loyalty ✈️ The emotional side of business travel Missing Father's Day with family Long stretches away from home Why coming home matters more than ever   ⏱️ Episode 443 Timestamps 0:47 – Quick intro and Richard's hectic travel weekend 5:05 – Richard's full review of Miraval Berkshires 8:31 – Activities, dining, and whether the experience justifies the cost 12:11 – Would Richard return to Miraval Berkshires? 15:40 – Hyatt's new Miraval Red Sea property 16:30 – Mid-year elite status check 18:15 – Is airline elite status still worth chasing? 19:22 – Ed reflects on two weeks away from home 21:00 – Missing Father's Day and balancing work with family            

We are thrilled to welcome Chicago-based interior designer Sarah Vaile to the podcast! Known for her bold use of color, fresh traditional style, and making classic spaces feel lively, Sarah has built an incredible coast-to-coast design firm. After pivoting from a corporate advertising career in her late 20s, she trained under industry icon Celerie Kemble before striking out on her own. Sarah sits down with Caroline, Taryn, and Liz to tackle one of interior design's absolute trickiest topics: scale. She shares her brilliant real-world hacks for testing furniture volume before you buy, why she loves wall-to-wall "sofa drenching" in tight spaces, and how to layout a dual-purpose office and guest room to conquer the dreaded "zoom gloom." Quick Decorating Takeaways: Scale is All About Visual Volume: Scale isn't just about simple dimensions; it's the balance of shapes, pattern, and mass in a room. When mixing antique and modern pieces, keep an eye on mass—newer furniture skews much larger ("California scale"), which can easily swallow up older heirloom items. Get Physical in Your Space: Don't rely solely on 2D digital layouts. To build confidence before hitting buy, physically map out a room using blue painter's tape on the floor, arrange empty cardboard boxes to test physical height, or tape a 1-to-1 paper cutout of a light fixture straight to the wall. Try "Sofa Drenching" in Small Rooms: Don't automatically buy a tiny love seat just because a room is tight. Small spaces can actually handle a giant sofa wrapped wall-to-wall. By making the entire room about the seating, you create an incredibly cozy, enveloping, and high-drama jewel box. Don't Get Stranded on "Rug Island": A common design trap is placing a floating area rug in the dead center of a room with all your furniture pushed completely off it. To bridge your hard floors with your texturing, ensure your seating "straddles" both worlds by keeping their front feet on the rug and their back feet off. Banish the Zoom Gloom: Dark colors like navy blue can throw an unflattering, shadowed cast on your face during computer calls. When designing a home office space, look for bright, invigorating colors that act like a flattering backdrop—think pistachios, corals, or soft apricots. What You'll Hear on This Episode: 00:34 Welcome to Sarah Vaile & an introduction to her style 02:22 Sarah's career pivot at 27, training at Parsons, and launching a firm during a recession 04:36 Business bank accounting tricks and going pro with a Virginia plantation project 06:00 Meeting an idol: How a hair salon appointment led to training under Celerie Kemble 08:53 Why scale is the single hardest part of design and accounting for project "breakage" 12:08 Moving past CAD: Using blue tape and physical mock-ups to save a layout 18:03 The vintage buying hack: Asking a person to stand in photos for sizing comparison 21:40 Dealing with post-holiday emptiness and shopping Ballard Designs' garland sales 27:13 Transitioning scales: Moving light fixtures from 10-foot ceilings down to 8 feet 30:21 Table lamps as the "mid-level jewels" that balance a room's high-low heights 31:04 Curtain guidelines: Maximizing drama with ceiling-mount hardware and massive art 37:18 How fabric patterns scale on furniture and what to avoid on tufted pieces 44:38 The magic of small rooms and why they are perfect for packing in big sofas 46:29 Rug guidelines: Double-rug zoning and custom on-site binding around a hearth 51:34 Decorating Dilemma: Solving a small, dark guest room/Zoom room from Virginia 56:40 Color trends and color seasons: The shift toward burnt oranges and terracotta Also Mentioned: Sarah Vaile Design | Website Follow Sarah on Instagram: @SarahVaileDesign Shop Ballard Designs Please send in your questions so we can answer them on our next episode! And of course, subscribe to the podcast wherever you get your podcasts so you never miss an episode. You can always check back here to see new episodes, but if you subscribe, it'll automatically download to your phone. Happy Decorating! Learn more about your ad choices. Visit megaphone.fm/adchoices

The modern idea of retirement was built on a bet that turned out to be wrong. It assumed people would spend most of their lives working and only a relatively short period of time retired. Instead, many Americans now reach 65 healthy, active, and with an entire third of their life ahead of them. Yet we're still using a retirement model designed for a world in which old age was shorter and fewer people expected decades of life after leaving the workforce.My guest says that outdated assumption creates some unfortunate unintended consequences. It causes people to stress excessively about money, postpone meaningful experiences with family and friends, and sometimes sacrifice the very things that make life worth living in the first place. He argues that by rethinking retirement — not necessarily eliminating it, but reimagining it — we can enjoy more of our lives now while actually feeling more secure about the future.His name is Derek Coburn, and he's a financial advisor and the author of Let's Retire Retirement. Today on the show, Derek explains why the traditional retirement model came about, why it may no longer make sense for many people, and how working even a few years past 65 can dramatically change the math of retirement planning. We also discuss the surprising psychological challenges many people face after they stop working, why purpose matters more than leisure, and how thinking differently about retirement can free you up to spend more time on what matters most right now — whether that's traveling, strengthening your marriage, or making the most of the limited summers you have left with your kids.Connect With Derek CoburnDerek's website (including his retirement calculator)Derek on IG0:00 - Introduction1:22 - The Outdated Origins of Retirement (Bismarck's 1889 Social Insurance Plan)4:12 - Why the Traditional Retirement Model Creates Stress and Anxiety6:13 - The "Arrival Fallacy" — Why Retirement Isn't What You Think It Will Be8:42 - The Psychological Crisis of Stopping Work Cold Turkey11:05 - The Math: How Working 10 More Years Cuts Your Savings Requirement by 96%13:21 - Enjoying Life NOW Instead of Deferring It to Retirement14:22 - Maximizing the Limited Summers You Have with Your Kids19:48 - Sponsor Break20:07 - What If You Hate Your Job? Find One You "Don't Hate"22:37 - Side Hustles as an On-Ramp to Work You Love24:09 - Physical Jobs and Mandatory Retirement — What Then? See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, Caitlin Embree and Cory Pinegar, CEO of Reach, dive into integrating virtual support to elevate your dental practice management. With operating costs rising roughly 87% since 2001 and insurance reimbursements remaining stagnant, the modern dentist is getting squeezed. To maintain dental practice profitability, owners must rethink their traditional staffing models.Cory explains why conventional outsourcing fails and how embedding a dedicated virtual team member transforms your dental practice management. By delegating repetitive front-desk tasks, your in-office staff can focus exclusively on the patients directly in front of them, driving sustainable dental practice growth.Here is your blueprint for implementing elite dental business strategies using virtual support:Capture Missed Revenue: Over 60% of Reach's clients start by delegating inbound phone calls because the industry average for missed calls is 33%.Define Success Metrics: Before hiring, clearly outline whether your goal is saving money, buying back time, or driving revenue to ensure a measurable ROI.Customize Your Training: Provide the final 20% of practice-specific training, such as exact verbiage and software nuances, to fully integrate your virtual assistant.Embrace AI as a Tool: Combine the efficiency of AI technology with the empathy of human virtual assistants rather than treating them as opposing forces.Treating virtual assistants like actual human team members is the missing link in modern dental practice management.Ready to take the next step in your dental practice journey? Visit https://sharedpractices.com to learn more about our Buyer Representation and Coaching services, designed to help dentists buy, grow, and optimize profitable practices. You can also use our Free Look to evaluate dental practice opportunities with real data before making a decision. For daily Dental Moneyball insights, strategy tips, and updates, follow us across our social channels.

Host Robert Brokamp is joined by Fool contributor Dan Caplinger to answer financial planning questions sent in from listeners, including:-How do ETFs affect the recommendation to own 25 to 50 stocks?-How can a new retiree switch from saving to spending after decades of frugality?-Since stock prices drop after a dividend payment, is it a “nothing-burger”?-How to manage a 529 as a kid gets ready to go to college?-Should you automatically reinvest dividends or use the cash to invest in something else?-What to do when you're getting a late start on saving for retirement?Host: Robert Brokamp, CFP®, EAGuest: Dan CaplingerEngineer: Bart Shannon Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices