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The actress/education advocate delves into her latest book, “Parents' Guide To Homeschool: Making It Easy And Fun,” designed to empower parents to protect their children/raise educational standards/push back on a culture that tells us children are worthless. She daily hosts “The Sam Sorbo Show.” Information for Sam Sorbo: Website: sorbostudios.com The Sam Sorbo Show: sorbostudios.com […] The post Sam Sorbo Passionately Calls For Homeschooling Children/Making It Easy And Fun appeared first on Radio Influence.

The actress/education advocate delves into her latest book, “Parents' Guide To Homeschool: Making It Easy And Fun,” designed to empower parents to protect their children/raise educational standards/push back on a culture that tells us children are worthless. She daily hosts “The Sam Sorbo Show.” Information for Sam Sorbo: Website: sorbostudios.com The Sam Sorbo Show: sorbostudios.com […] The post Sam Sorbo Passionately Calls For Homeschooling Children/Making It Easy And Fun appeared first on Radio Influence.

The actress/education advocate delves into her latest book, “Parents' Guide To Homeschool: Making It Easy And Fun,” designed to empower parents to protect their children/raise educational standards/push back on a culture that tells us children are worthless. She daily hosts “The Sam Sorbo Show.” Information for Sam Sorbo: Website: sorbostudios.com The Sam Sorbo Show: sorbostudios.com […] The post Sam Sorbo Passionately Calls For Homeschooling Children/Making It Easy And Fun appeared first on Radio Influence.

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If you're in SF: Join us for the Claude Plays Pokemon hackathon this Sunday!If you're not: Fill out the 2025 State of AI Eng survey for $250 in Amazon cards!We are SO excited to share our conversation with Dharmesh Shah, co-founder of HubSpot and creator of Agent.ai.A particularly compelling concept we discussed is the idea of "hybrid teams" - the next evolution in workplace organization where human workers collaborate with AI agents as team members. Just as we previously saw hybrid teams emerge in terms of full-time vs. contract workers, or in-office vs. remote workers, Dharmesh predicts that the next frontier will be teams composed of both human and AI members. This raises interesting questions about team dynamics, trust, and how to effectively delegate tasks between human and AI team members.The discussion of business models in AI reveals an important distinction between Work as a Service (WaaS) and Results as a Service (RaaS), something Dharmesh has written extensively about. While RaaS has gained popularity, particularly in customer support applications where outcomes are easily measurable, Dharmesh argues that this model may be over-indexed. Not all AI applications have clearly definable outcomes or consistent economic value per transaction, making WaaS more appropriate in many cases. This insight is particularly relevant for businesses considering how to monetize AI capabilities.The technical challenges of implementing effective agent systems are also explored, particularly around memory and authentication. Shah emphasizes the importance of cross-agent memory sharing and the need for more granular control over data access. He envisions a future where users can selectively share parts of their data with different agents, similar to how OAuth works but with much finer control. This points to significant opportunities in developing infrastructure for secure and efficient agent-to-agent communication and data sharing.Other highlights from our conversation* The Evolution of AI-Powered Agents – Exploring how AI agents have evolved from simple chatbots to sophisticated multi-agent systems, and the role of MCPs in enabling that.* Hybrid Digital Teams and the Future of Work – How AI agents are becoming teammates rather than just tools, and what this means for business operations and knowledge work.* Memory in AI Agents – The importance of persistent memory in AI systems and how shared memory across agents could enhance collaboration and efficiency.* Business Models for AI Agents – Exploring the shift from software as a service (SaaS) to work as a service (WaaS) and results as a service (RaaS), and what this means for monetization.* The Role of Standards Like MCP – Why MCP has been widely adopted and how it enables agent collaboration, tool use, and discovery.* The Future of AI Code Generation and Software Engineering – How AI-assisted coding is changing the role of software engineers and what skills will matter most in the future.* Domain Investing and Efficient Markets – Dharmesh's approach to domain investing and how inefficiencies in digital asset markets create business opportunities.* The Philosophy of Saying No – Lessons from "Sorry, You Must Pass" and how prioritization leads to greater productivity and focus.Timestamps* 00:00 Introduction and Guest Welcome* 02:29 Dharmesh Shah's Journey into AI* 05:22 Defining AI Agents* 06:45 The Evolution and Future of AI Agents* 13:53 Graph Theory and Knowledge Representation* 20:02 Engineering Practices and Overengineering* 25:57 The Role of Junior Engineers in the AI Era* 28:20 Multi-Agent Systems and MCP Standards* 35:55 LinkedIn's Legal Battles and Data Scraping* 37:32 The Future of AI and Hybrid Teams* 39:19 Building Agent AI: A Professional Network for Agents* 40:43 Challenges and Innovations in Agent AI* 45:02 The Evolution of UI in AI Systems* 01:00:25 Business Models: Work as a Service vs. Results as a Service* 01:09:17 The Future Value of Engineers* 01:09:51 Exploring the Role of Agents* 01:10:28 The Importance of Memory in AI* 01:11:02 Challenges and Opportunities in AI Memory* 01:12:41 Selective Memory and Privacy Concerns* 01:13:27 The Evolution of AI Tools and Platforms* 01:18:23 Domain Names and AI Projects* 01:32:08 Balancing Work and Personal Life* 01:35:52 Final Thoughts and ReflectionsTranscriptAlessio [00:00:04]: Hey everyone, welcome back to the Latent Space podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co-host Swyx, founder of Small AI.swyx [00:00:12]: Hello, and today we're super excited to have Dharmesh Shah to join us. I guess your relevant title here is founder of Agent AI.Dharmesh [00:00:20]: Yeah, that's true for this. Yeah, creator of Agent.ai and co-founder of HubSpot.swyx [00:00:25]: Co-founder of HubSpot, which I followed for many years, I think 18 years now, gonna be 19 soon. And you caught, you know, people can catch up on your HubSpot story elsewhere. I should also thank Sean Puri, who I've chatted with back and forth, who's been, I guess, getting me in touch with your people. But also, I think like, just giving us a lot of context, because obviously, My First Million joined you guys, and they've been chatting with you guys a lot. So for the business side, we can talk about that, but I kind of wanted to engage your CTO, agent, engineer side of things. So how did you get agent religion?Dharmesh [00:01:00]: Let's see. So I've been working, I'll take like a half step back, a decade or so ago, even though actually more than that. So even before HubSpot, the company I was contemplating that I had named for was called Ingenisoft. And the idea behind Ingenisoft was a natural language interface to business software. Now realize this is 20 years ago, so that was a hard thing to do. But the actual use case that I had in mind was, you know, we had data sitting in business systems like a CRM or something like that. And my kind of what I thought clever at the time. Oh, what if we used email as the kind of interface to get to business software? And the motivation for using email is that it automatically works when you're offline. So imagine I'm getting on a plane or I'm on a plane. There was no internet on planes back then. It's like, oh, I'm going through business cards from an event I went to. I can just type things into an email just to have them all in the backlog. When it reconnects, it sends those emails to a processor that basically kind of parses effectively the commands and updates the software, sends you the file, whatever it is. And there was a handful of commands. I was a little bit ahead of the times in terms of what was actually possible. And I reattempted this natural language thing with a product called ChatSpot that I did back 20...swyx [00:02:12]: Yeah, this is your first post-ChatGPT project.Dharmesh [00:02:14]: I saw it come out. Yeah. And so I've always been kind of fascinated by this natural language interface to software. Because, you know, as software developers, myself included, we've always said, oh, we build intuitive, easy-to-use applications. And it's not intuitive at all, right? Because what we're doing is... We're taking the mental model that's in our head of what we're trying to accomplish with said piece of software and translating that into a series of touches and swipes and clicks and things like that. And there's nothing natural or intuitive about it. And so natural language interfaces, for the first time, you know, whatever the thought is you have in your head and expressed in whatever language that you normally use to talk to yourself in your head, you can just sort of emit that and have software do something. And I thought that was kind of a breakthrough, which it has been. And it's gone. So that's where I first started getting into the journey. I started because now it actually works, right? So once we got ChatGPT and you can take, even with a few-shot example, convert something into structured, even back in the ChatGP 3.5 days, it did a decent job in a few-shot example, convert something to structured text if you knew what kinds of intents you were going to have. And so that happened. And that ultimately became a HubSpot project. But then agents intrigued me because I'm like, okay, well, that's the next step here. So chat's great. Love Chat UX. But if we want to do something even more meaningful, it felt like the next kind of advancement is not this kind of, I'm chatting with some software in a kind of a synchronous back and forth model, is that software is going to do things for me in kind of a multi-step way to try and accomplish some goals. So, yeah, that's when I first got started. It's like, okay, what would that look like? Yeah. And I've been obsessed ever since, by the way.Alessio [00:03:55]: Which goes back to your first experience with it, which is like you're offline. Yeah. And you want to do a task. You don't need to do it right now. You just want to queue it up for somebody to do it for you. Yes. As you think about agents, like, let's start at the easy question, which is like, how do you define an agent? Maybe. You mean the hardest question in the universe? Is that what you mean?Dharmesh [00:04:12]: You said you have an irritating take. I do have an irritating take. I think, well, some number of people have been irritated, including within my own team. So I have a very broad definition for agents, which is it's AI-powered software that accomplishes a goal. Period. That's it. And what irritates people about it is like, well, that's so broad as to be completely non-useful. And I understand that. I understand the criticism. But in my mind, if you kind of fast forward months, I guess, in AI years, the implementation of it, and we're already starting to see this, and we'll talk about this, different kinds of agents, right? So I think in addition to having a usable definition, and I like yours, by the way, and we should talk more about that, that you just came out with, the classification of agents actually is also useful, which is, is it autonomous or non-autonomous? Does it have a deterministic workflow? Does it have a non-deterministic workflow? Is it working synchronously? Is it working asynchronously? Then you have the different kind of interaction modes. Is it a chat agent, kind of like a customer support agent would be? You're having this kind of back and forth. Is it a workflow agent that just does a discrete number of steps? So there's all these different flavors of agents. So if I were to draw it in a Venn diagram, I would draw a big circle that says, this is agents, and then I have a bunch of circles, some overlapping, because they're not mutually exclusive. And so I think that's what's interesting, and we're seeing development along a bunch of different paths, right? So if you look at the first implementation of agent frameworks, you look at Baby AGI and AutoGBT, I think it was, not Autogen, that's the Microsoft one. They were way ahead of their time because they assumed this level of reasoning and execution and planning capability that just did not exist, right? So it was an interesting thought experiment, which is what it was. Even the guy that, I'm an investor in Yohei's fund that did Baby AGI. It wasn't ready, but it was a sign of what was to come. And so the question then is, when is it ready? And so lots of people talk about the state of the art when it comes to agents. I'm a pragmatist, so I think of the state of the practical. It's like, okay, well, what can I actually build that has commercial value or solves actually some discrete problem with some baseline of repeatability or verifiability?swyx [00:06:22]: There was a lot, and very, very interesting. I'm not irritated by it at all. Okay. As you know, I take a... There's a lot of anthropological view or linguistics view. And in linguistics, you don't want to be prescriptive. You want to be descriptive. Yeah. So you're a goals guy. That's the key word in your thing. And other people have other definitions that might involve like delegated trust or non-deterministic work, LLM in the loop, all that stuff. The other thing I was thinking about, just the comment on Baby AGI, LGBT. Yeah. In that piece that you just read, I was able to go through our backlog and just kind of track the winter of agents and then the summer now. Yeah. And it's... We can tell the whole story as an oral history, just following that thread. And it's really just like, I think, I tried to explain the why now, right? Like I had, there's better models, of course. There's better tool use with like, they're just more reliable. Yep. Better tools with MCP and all that stuff. And I'm sure you have opinions on that too. Business model shift, which you like a lot. I just heard you talk about RAS with MFM guys. Yep. Cost is dropping a lot. Yep. Inference is getting faster. There's more model diversity. Yep. Yep. I think it's a subtle point. It means that like, you have different models with different perspectives. You don't get stuck in the basin of performance of a single model. Sure. You can just get out of it by just switching models. Yep. Multi-agent research and RL fine tuning. So I just wanted to let you respond to like any of that.Dharmesh [00:07:44]: Yeah. A couple of things. Connecting the dots on the kind of the definition side of it. So we'll get the irritation out of the way completely. I have one more, even more irritating leap on the agent definition thing. So here's the way I think about it. By the way, the kind of word agent, I looked it up, like the English dictionary definition. The old school agent, yeah. Is when you have someone or something that does something on your behalf, like a travel agent or a real estate agent acts on your behalf. It's like proxy, which is a nice kind of general definition. So the other direction I'm sort of headed, and it's going to tie back to tool calling and MCP and things like that, is if you, and I'm not a biologist by any stretch of the imagination, but we have these single-celled organisms, right? Like the simplest possible form of what one would call life. But it's still life. It just happens to be single-celled. And then you can combine cells and then cells become specialized over time. And you have much more sophisticated organisms, you know, kind of further down the spectrum. In my mind, at the most fundamental level, you can almost think of having atomic agents. What is the simplest possible thing that's an agent that can still be called an agent? What is the equivalent of a kind of single-celled organism? And the reason I think that's useful is right now we're headed down the road, which I think is very exciting around tool use, right? That says, okay, the LLMs now can be provided a set of tools that it calls to accomplish whatever it needs to accomplish in the kind of furtherance of whatever goal it's trying to get done. And I'm not overly bothered by it, but if you think about it, if you just squint a little bit and say, well, what if everything was an agent? And what if tools were actually just atomic agents? Because then it's turtles all the way down, right? Then it's like, oh, well, all that's really happening with tool use is that we have a network of agents that know about each other through something like an MMCP and can kind of decompose a particular problem and say, oh, I'm going to delegate this to this set of agents. And why do we need to draw this distinction between tools, which are functions most of the time? And an actual agent. And so I'm going to write this irritating LinkedIn post, you know, proposing this. It's like, okay. And I'm not suggesting we should call even functions, you know, call them agents. But there is a certain amount of elegance that happens when you say, oh, we can just reduce it down to one primitive, which is an agent that you can combine in complicated ways to kind of raise the level of abstraction and accomplish higher order goals. Anyway, that's my answer. I'd say that's a success. Thank you for coming to my TED Talk on agent definitions.Alessio [00:09:54]: How do you define the minimum viable agent? Do you already have a definition for, like, where you draw the line between a cell and an atom? Yeah.Dharmesh [00:10:02]: So in my mind, it has to, at some level, use AI in order for it to—otherwise, it's just software. It's like, you know, we don't need another word for that. And so that's probably where I draw the line. So then the question, you know, the counterargument would be, well, if that's true, then lots of tools themselves are actually not agents because they're just doing a database call or a REST API call or whatever it is they're doing. And that does not necessarily qualify them, which is a fair counterargument. And I accept that. It's like a good argument. I still like to think about—because we'll talk about multi-agent systems, because I think—so we've accepted, which I think is true, lots of people have said it, and you've hopefully combined some of those clips of really smart people saying this is the year of agents, and I completely agree, it is the year of agents. But then shortly after that, it's going to be the year of multi-agent systems or multi-agent networks. I think that's where it's going to be headed next year. Yeah.swyx [00:10:54]: Opening eyes already on that. Yeah. My quick philosophical engagement with you on this. I often think about kind of the other spectrum, the other end of the cell spectrum. So single cell is life, multi-cell is life, and you clump a bunch of cells together in a more complex organism, they become organs, like an eye and a liver or whatever. And then obviously we consider ourselves one life form. There's not like a lot of lives within me. I'm just one life. And now, obviously, I don't think people don't really like to anthropomorphize agents and AI. Yeah. But we are extending our consciousness and our brain and our functionality out into machines. I just saw you were a Bee. Yeah. Which is, you know, it's nice. I have a limitless pendant in my pocket.Dharmesh [00:11:37]: I got one of these boys. Yeah.swyx [00:11:39]: I'm testing it all out. You know, got to be early adopters. But like, we want to extend our personal memory into these things so that we can be good at the things that we're good at. And, you know, machines are good at it. Machines are there. So like, my definition of life is kind of like going outside of my own body now. I don't know if you've ever had like reflections on that. Like how yours. How our self is like actually being distributed outside of you. Yeah.Dharmesh [00:12:01]: I don't fancy myself a philosopher. But you went there. So yeah, I did go there. I'm fascinated by kind of graphs and graph theory and networks and have been for a long, long time. And to me, we're sort of all nodes in this kind of larger thing. It just so happens that we're looking at individual kind of life forms as they exist right now. But so the idea is when you put a podcast out there, there's these little kind of nodes you're putting out there of like, you know, conceptual ideas. Once again, you have varying kind of forms of those little nodes that are up there and are connected in varying and sundry ways. And so I just think of myself as being a node in a massive, massive network. And I'm producing more nodes as I put content or ideas. And, you know, you spend some portion of your life collecting dots, experiences, people, and some portion of your life then connecting dots from the ones that you've collected over time. And I found that really interesting things happen and you really can't know in advance how those dots are necessarily going to connect in the future. And that's, yeah. So that's my philosophical take. That's the, yes, exactly. Coming back.Alessio [00:13:04]: Yep. Do you like graph as an agent? Abstraction? That's been one of the hot topics with LandGraph and Pydantic and all that.Dharmesh [00:13:11]: I do. The thing I'm more interested in terms of use of graphs, and there's lots of work happening on that now, is graph data stores as an alternative in terms of knowledge stores and knowledge graphs. Yeah. Because, you know, so I've been in software now 30 plus years, right? So it's not 10,000 hours. It's like 100,000 hours that I've spent doing this stuff. And so I've grew up with, so back in the day, you know, I started on mainframes. There was a product called IMS from IBM, which is basically an index database, what we'd call like a key value store today. Then we've had relational databases, right? We have tables and columns and foreign key relationships. We all know that. We have document databases like MongoDB, which is sort of a nested structure keyed by a specific index. We have vector stores, vector embedding database. And graphs are interesting for a couple of reasons. One is, so it's not classically structured in a relational way. When you say structured database, to most people, they're thinking tables and columns and in relational database and set theory and all that. Graphs still have structure, but it's not the tables and columns structure. And you could wonder, and people have made this case, that they are a better representation of knowledge for LLMs and for AI generally than other things. So that's kind of thing number one conceptually, and that might be true, I think is possibly true. And the other thing that I really like about that in the context of, you know, I've been in the context of data stores for RAG is, you know, RAG, you say, oh, I have a million documents, I'm going to build the vector embeddings, I'm going to come back with the top X based on the semantic match, and that's fine. All that's very, very useful. But the reality is something gets lost in the chunking process and the, okay, well, those tend, you know, like, you don't really get the whole picture, so to speak, and maybe not even the right set of dimensions on the kind of broader picture. And it makes intuitive sense to me that if we did capture it properly in a graph form, that maybe that feeding into a RAG pipeline will actually yield better results for some use cases, I don't know, but yeah.Alessio [00:15:03]: And do you feel like at the core of it, there's this difference between imperative and declarative programs? Because if you think about HubSpot, it's like, you know, people and graph kind of goes hand in hand, you know, but I think maybe the software before was more like primary foreign key based relationship, versus now the models can traverse through the graph more easily.Dharmesh [00:15:22]: Yes. So I like that representation. There's something. It's just conceptually elegant about graphs and just from the representation of it, they're much more discoverable, you can kind of see it, there's observability to it, versus kind of embeddings, which you can't really do much with as a human. You know, once they're in there, you can't pull stuff back out. But yeah, I like that kind of idea of it. And the other thing that's kind of, because I love graphs, I've been long obsessed with PageRank from back in the early days. And, you know, one of the kind of simplest algorithms in terms of coming up, you know, with a phone, everyone's been exposed to PageRank. And the idea is that, and so I had this other idea for a project, not a company, and I have hundreds of these, called NodeRank, is to be able to take the idea of PageRank and apply it to an arbitrary graph that says, okay, I'm going to define what authority looks like and say, okay, well, that's interesting to me, because then if you say, I'm going to take my knowledge store, and maybe this person that contributed some number of chunks to the graph data store has more authority on this particular use case or prompt that's being submitted than this other one that may, or maybe this one was more. popular, or maybe this one has, whatever it is, there should be a way for us to kind of rank nodes in a graph and sort them in some, some useful way. Yeah.swyx [00:16:34]: So I think that's generally useful for, for anything. I think the, the problem, like, so even though at my conferences, GraphRag is super popular and people are getting knowledge, graph religion, and I will say like, it's getting space, getting traction in two areas, conversation memory, and then also just rag in general, like the, the, the document data. Yeah. It's like a source. Most ML practitioners would say that knowledge graph is kind of like a dirty word. The graph database, people get graph religion, everything's a graph, and then they, they go really hard into it and then they get a, they get a graph that is too complex to navigate. Yes. And so like the, the, the simple way to put it is like you at running HubSpot, you know, the power of graphs, the way that Google has pitched them for many years, but I don't suspect that HubSpot itself uses a knowledge graph. No. Yeah.Dharmesh [00:17:26]: So when is it over engineering? Basically? It's a great question. I don't know. So the question now, like in AI land, right, is the, do we necessarily need to understand? So right now, LLMs for, for the most part are somewhat black boxes, right? We sort of understand how the, you know, the algorithm itself works, but we really don't know what's going on in there and, and how things come out. So if a graph data store is able to produce the outcomes we want, it's like, here's a set of queries I want to be able to submit and then it comes out with useful content. Maybe the underlying data store is as opaque as a vector embeddings or something like that, but maybe it's fine. Maybe we don't necessarily need to understand it to get utility out of it. And so maybe if it's messy, that's okay. Um, that's, it's just another form of lossy compression. Uh, it's just lossy in a way that we just don't completely understand in terms of, because it's going to grow organically. Uh, and it's not structured. It's like, ah, we're just gonna throw a bunch of stuff in there. Let the, the equivalent of the embedding algorithm, whatever they called in graph land. Um, so the one with the best results wins. I think so. Yeah.swyx [00:18:26]: Or is this the practical side of me is like, yeah, it's, if it's useful, we don't necessarilyDharmesh [00:18:30]: need to understand it.swyx [00:18:30]: I have, I mean, I'm happy to push back as long as you want. Uh, it's not practical to evaluate like the 10 different options out there because it takes time. It takes people, it takes, you know, resources, right? Set. That's the first thing. Second thing is your evals are typically on small things and some things only work at scale. Yup. Like graphs. Yup.Dharmesh [00:18:46]: Yup. That's, yeah, no, that's fair. And I think this is one of the challenges in terms of implementation of graph databases is that the most common approach that I've seen developers do, I've done it myself, is that, oh, I've got a Postgres database or a MySQL or whatever. I can represent a graph with a very set of tables with a parent child thing or whatever. And that sort of gives me the ability, uh, why would I need anything more than that? And the answer is, well, if you don't need anything more than that, you don't need anything more than that. But there's a high chance that you're sort of missing out on the actual value that, uh, the graph representation gives you. Which is the ability to traverse the graph, uh, efficiently in ways that kind of going through the, uh, traversal in a relational database form, even though structurally you have the data, practically you're not gonna be able to pull it out in, in useful ways. Uh, so you wouldn't like represent a social graph, uh, in, in using that kind of relational table model. It just wouldn't scale. It wouldn't work.swyx [00:19:36]: Uh, yeah. Uh, I think we want to move on to MCP. Yeah. But I just want to, like, just engineering advice. Yeah. Uh, obviously you've, you've, you've run, uh, you've, you've had to do a lot of projects and run a lot of teams. Do you have a general rule for over-engineering or, you know, engineering ahead of time? You know, like, because people, we know premature engineering is the root of all evil. Yep. But also sometimes you just have to. Yep. When do you do it? Yes.Dharmesh [00:19:59]: It's a great question. This is, uh, a question as old as time almost, which is what's the right and wrong levels of abstraction. That's effectively what, uh, we're answering when we're trying to do engineering. I tend to be a pragmatist, right? So here's the thing. Um, lots of times doing something the right way. Yeah. It's like a marginal increased cost in those cases. Just do it the right way. And this is what makes a, uh, a great engineer or a good engineer better than, uh, a not so great one. It's like, okay, all things being equal. If it's going to take you, you know, roughly close to constant time anyway, might as well do it the right way. Like, so do things well, then the question is, okay, well, am I building a framework as the reusable library? To what degree, uh, what am I anticipating in terms of what's going to need to change in this thing? Uh, you know, along what dimension? And then I think like a business person in some ways, like what's the return on calories, right? So, uh, and you look at, um, energy, the expected value of it's like, okay, here are the five possible things that could happen, uh, try to assign probabilities like, okay, well, if there's a 50% chance that we're going to go down this particular path at some day, like, or one of these five things is going to happen and it costs you 10% more to engineer for that. It's basically, it's something that yields a kind of interest compounding value. Um, as you get closer to the time of, of needing that versus having to take on debt, which is when you under engineer it, you're taking on debt. You're going to have to pay off when you do get to that eventuality where something happens. One thing as a pragmatist, uh, so I would rather under engineer something than over engineer it. If I were going to err on the side of something, and here's the reason is that when you under engineer it, uh, yes, you take on tech debt, uh, but the interest rate is relatively known and payoff is very, very possible, right? Which is, oh, I took a shortcut here as a result of which now this thing that should have taken me a week is now going to take me four weeks. Fine. But if that particular thing that you thought might happen, never actually, you never have that use case transpire or just doesn't, it's like, well, you just save yourself time, right? And that has value because you were able to do other things instead of, uh, kind of slightly over-engineering it away, over-engineering it. But there's no perfect answers in art form in terms of, uh, and yeah, we'll, we'll bring kind of this layers of abstraction back on the code generation conversation, which we'll, uh, I think I have later on, butAlessio [00:22:05]: I was going to ask, we can just jump ahead quickly. Yeah. Like, as you think about vibe coding and all that, how does the. Yeah. Percentage of potential usefulness change when I feel like we over-engineering a lot of times it's like the investment in syntax, it's less about the investment in like arc exacting. Yep. Yeah. How does that change your calculus?Dharmesh [00:22:22]: A couple of things, right? One is, um, so, you know, going back to that kind of ROI or a return on calories, kind of calculus or heuristic you think through, it's like, okay, well, what is it going to cost me to put this layer of abstraction above the code that I'm writing now, uh, in anticipating kind of future needs. If the cost of fixing, uh, or doing under engineering right now. Uh, we'll trend towards zero that says, okay, well, I don't have to get it right right now because even if I get it wrong, I'll run the thing for six hours instead of 60 minutes or whatever. It doesn't really matter, right? Like, because that's going to trend towards zero to be able, the ability to refactor a code. Um, and because we're going to not that long from now, we're going to have, you know, large code bases be able to exist, uh, you know, as, as context, uh, for a code generation or a code refactoring, uh, model. So I think it's going to make it, uh, make the case for under engineering, uh, even stronger. Which is why I take on that cost. You just pay the interest when you get there, it's not, um, just go on with your life vibe coded and, uh, come back when you need to. Yeah.Alessio [00:23:18]: Sometimes I feel like there's no decision-making in some things like, uh, today I built a autosave for like our internal notes platform and I literally just ask them cursor. Can you add autosave? Yeah. I don't know if it's over under engineer. Yep. I just vibe coded it. Yep. And I feel like at some point we're going to get to the point where the models kindDharmesh [00:23:36]: of decide where the right line is, but this is where the, like the, in my mind, the danger is, right? So there's two sides to this. One is the cost of kind of development and coding and things like that stuff that, you know, we talk about. But then like in your example, you know, one of the risks that we have is that because adding a feature, uh, like a save or whatever the feature might be to a product as that price tends towards zero, are we going to be less discriminant about what features we add as a result of making more product products more complicated, which has a negative impact on the user and navigate negative impact on the business. Um, and so that's the thing I worry about if it starts to become too easy, are we going to be. Too promiscuous in our, uh, kind of extension, adding product extensions and things like that. It's like, ah, why not add X, Y, Z or whatever back then it was like, oh, we only have so many engineering hours or story points or however you measure things. Uh, that least kept us in check a little bit. Yeah.Alessio [00:24:22]: And then over engineering, you're like, yeah, it's kind of like you're putting that on yourself. Yeah. Like now it's like the models don't understand that if they add too much complexity, it's going to come back to bite them later. Yep. So they just do whatever they want to do. Yeah. And I'm curious where in the workflow that's going to be, where it's like, Hey, this is like the amount of complexity and over-engineering you can do before you got to ask me if we should actually do it versus like do something else.Dharmesh [00:24:45]: So you know, we've already, let's like, we're leaving this, uh, in the code generation world, this kind of compressed, um, cycle time. Right. It's like, okay, we went from auto-complete, uh, in the GitHub co-pilot to like, oh, finish this particular thing and hit tab to a, oh, I sort of know your file or whatever. I can write out a full function to you to now I can like hold a bunch of the context in my head. Uh, so we can do app generation, which we have now with lovable and bolt and repletage. Yeah. Association and other things. So then the question is, okay, well, where does it naturally go from here? So we're going to generate products. Make sense. We might be able to generate platforms as though I want a platform for ERP that does this, whatever. And that includes the API's includes the product and the UI, and all the things that make for a platform. There's no nothing that says we would stop like, okay, can you generate an entire software company someday? Right. Uh, with the platform and the monetization and the go-to-market and the whatever. And you know, that that's interesting to me in terms of, uh, you know, what, when you take it to almost ludicrous levels. of abstract.swyx [00:25:39]: It's like, okay, turn it to 11. You mentioned vibe coding, so I have to, this is a blog post I haven't written, but I'm kind of exploring it. Is the junior engineer dead?Dharmesh [00:25:49]: I don't think so. I think what will happen is that the junior engineer will be able to, if all they're bringing to the table is the fact that they are a junior engineer, then yes, they're likely dead. But hopefully if they can communicate with carbon-based life forms, they can interact with product, if they're willing to talk to customers, they can take their kind of basic understanding of engineering and how kind of software works. I think that has value. So I have a 14-year-old right now who's taking Python programming class, and some people ask me, it's like, why is he learning coding? And my answer is, is because it's not about the syntax, it's not about the coding. What he's learning is like the fundamental thing of like how things work. And there's value in that. I think there's going to be timeless value in systems thinking and abstractions and what that means. And whether functions manifested as math, which he's going to get exposed to regardless, or there are some core primitives to the universe, I think, that the more you understand them, those are what I would kind of think of as like really large dots in your life that will have a higher gravitational pull and value to them that you'll then be able to. So I want him to collect those dots, and he's not resisting. So it's like, okay, while he's still listening to me, I'm going to have him do things that I think will be useful.swyx [00:26:59]: You know, part of one of the pitches that I evaluated for AI engineer is a term. And the term is that maybe the traditional interview path or career path of software engineer goes away, which is because what's the point of lead code? Yeah. And, you know, it actually matters more that you know how to work with AI and to implement the things that you want. Yep.Dharmesh [00:27:16]: That's one of the like interesting things that's happened with generative AI. You know, you go from machine learning and the models and just that underlying form, which is like true engineering, right? Like the actual, what I call real engineering. I don't think of myself as a real engineer, actually. I'm a developer. But now with generative AI. We call it AI and it's obviously got its roots in machine learning, but it just feels like fundamentally different to me. Like you have the vibe. It's like, okay, well, this is just a whole different approach to software development to so many different things. And so I'm wondering now, it's like an AI engineer is like, if you were like to draw the Venn diagram, it's interesting because the cross between like AI things, generative AI and what the tools are capable of, what the models do, and this whole new kind of body of knowledge that we're still building out, it's still very young, intersected with kind of classic engineering, software engineering. Yeah.swyx [00:28:04]: I just described the overlap as it separates out eventually until it's its own thing, but it's starting out as a software. Yeah.Alessio [00:28:11]: That makes sense. So to close the vibe coding loop, the other big hype now is MCPs. Obviously, I would say Cloud Desktop and Cursor are like the two main drivers of MCP usage. I would say my favorite is the Sentry MCP. I can pull in errors and then you can just put the context in Cursor. How do you think about that abstraction layer? Does it feel... Does it feel almost too magical in a way? Do you think it's like you get enough? Because you don't really see how the server itself is then kind of like repackaging theDharmesh [00:28:41]: information for you? I think MCP as a standard is one of the better things that's happened in the world of AI because a standard needed to exist and absent a standard, there was a set of things that just weren't possible. Now, we can argue whether it's the best possible manifestation of a standard or not. Does it do too much? Does it do too little? I get that, but it's just simple enough to both be useful and unobtrusive. It's understandable and adoptable by mere mortals, right? It's not overly complicated. You know, a reasonable engineer can put a stand up an MCP server relatively easily. The thing that has me excited about it is like, so I'm a big believer in multi-agent systems. And so that's going back to our kind of this idea of an atomic agent. So imagine the MCP server, like obviously it calls tools, but the way I think about it, so I'm working on my current passion project is agent.ai. And we'll talk more about that in a little bit. More about the, I think we should, because I think it's interesting not to promote the project at all, but there's some interesting ideas in there. One of which is around, we're going to need a mechanism for, if agents are going to collaborate and be able to delegate, there's going to need to be some form of discovery and we're going to need some standard way. It's like, okay, well, I just need to know what this thing over here is capable of. We're going to need a registry, which Anthropic's working on. I'm sure others will and have been doing directories of, and there's going to be a standard around that too. How do you build out a directory of MCP servers? I think that's going to unlock so many things just because, and we're already starting to see it. So I think MCP or something like it is going to be the next major unlock because it allows systems that don't know about each other, don't need to, it's that kind of decoupling of like Sentry and whatever tools someone else was building. And it's not just about, you know, Cloud Desktop or things like, even on the client side, I think we're going to see very interesting consumers of MCP, MCP clients versus just the chat body kind of things. Like, you know, Cloud Desktop and Cursor and things like that. But yeah, I'm very excited about MCP in that general direction.swyx [00:30:39]: I think the typical cynical developer take, it's like, we have OpenAPI. Yeah. What's the new thing? I don't know if you have a, do you have a quick MCP versus everything else? Yeah.Dharmesh [00:30:49]: So it's, so I like OpenAPI, right? So just a descriptive thing. It's OpenAPI. OpenAPI. Yes, that's what I meant. So it's basically a self-documenting thing. We can do machine-generated, lots of things from that output. It's a structured definition of an API. I get that, love it. But MCPs sort of are kind of use case specific. They're perfect for exactly what we're trying to use them for around LLMs in terms of discovery. It's like, okay, I don't necessarily need to know kind of all this detail. And so right now we have, we'll talk more about like MCP server implementations, but We will? I think, I don't know. Maybe we won't. At least it's in my head. It's like a back processor. But I do think MCP adds value above OpenAPI. It's, yeah, just because it solves this particular thing. And if we had come to the world, which we have, like, it's like, hey, we already have OpenAPI. It's like, if that were good enough for the universe, the universe would have adopted it already. There's a reason why MCP is taking office because marginally adds something that was missing before and doesn't go too far. And so that's why the kind of rate of adoption, you folks have written about this and talked about it. Yeah, why MCP won. Yeah. And it won because the universe decided that this was useful and maybe it gets supplanted by something else. Yeah. And maybe we discover, oh, maybe OpenAPI was good enough the whole time. I doubt that.swyx [00:32:09]: The meta lesson, this is, I mean, he's an investor in DevTools companies. I work in developer experience at DevRel in DevTools companies. Yep. Everyone wants to own the standard. Yeah. I'm sure you guys have tried to launch your own standards. Actually, it's Houseplant known for a standard, you know, obviously inbound marketing. But is there a standard or protocol that you ever tried to push? No.Dharmesh [00:32:30]: And there's a reason for this. Yeah. Is that? And I don't mean, need to mean, speak for the people of HubSpot, but I personally. You kind of do. I'm not smart enough. That's not the, like, I think I have a. You're smart. Not enough for that. I'm much better off understanding the standards that are out there. And I'm more on the composability side. Let's, like, take the pieces of technology that exist out there, combine them in creative, unique ways. And I like to consume standards. I don't like to, and that's not that I don't like to create them. I just don't think I have the, both the raw wattage or the credibility. It's like, okay, well, who the heck is Dharmesh, and why should we adopt a standard he created?swyx [00:33:07]: Yeah, I mean, there are people who don't monetize standards, like OpenTelemetry is a big standard, and LightStep never capitalized on that.Dharmesh [00:33:15]: So, okay, so if I were to do a standard, there's two things that have been in my head in the past. I was one around, a very, very basic one around, I don't even have the domain, I have a domain for everything, for open marketing. Because the issue we had in HubSpot grew up in the marketing space. There we go. There was no standard around data formats and things like that. It doesn't go anywhere. But the other one, and I did not mean to go here, but I'm going to go here. It's called OpenGraph. I know the term was already taken, but it hasn't been used for like 15 years now for its original purpose. But what I think should exist in the world is right now, our information, all of us, nodes are in the social graph at Meta or the professional graph at LinkedIn. Both of which are actually relatively closed in actually very annoying ways. Like very, very closed, right? Especially LinkedIn. Especially LinkedIn. I personally believe that if it's my data, and if I would get utility out of it being open, I should be able to make my data open or publish it in whatever forms that I choose, as long as I have control over it as opt-in. So the idea is around OpenGraph that says, here's a standard, here's a way to publish it. I should be able to go to OpenGraph.org slash Dharmesh dot JSON and get it back. And it's like, here's your stuff, right? And I can choose along the way and people can write to it and I can prove. And there can be an entire system. And if I were to do that, I would do it as a... Like a public benefit, non-profit-y kind of thing, as this is a contribution to society. I wouldn't try to commercialize that. Have you looked at AdProto? What's that? AdProto.swyx [00:34:43]: It's the protocol behind Blue Sky. Okay. My good friend, Dan Abramov, who was the face of React for many, many years, now works there. And he actually did a talk that I can send you, which basically kind of tries to articulate what you just said. But he does, he loves doing these like really great analogies, which I think you'll like. Like, you know, a lot of our data is behind a handle, behind a domain. Yep. So he's like, all right, what if we flip that? What if it was like our handle and then the domain? Yep. So, and that's really like your data should belong to you. Yep. And I should not have to wait 30 days for my Twitter data to export. Yep.Dharmesh [00:35:19]: you should be able to at least be able to automate it or do like, yes, I should be able to plug it into an agentic thing. Yeah. Yes. I think we're... Because so much of our data is... Locked up. I think the trick here isn't that standard. It is getting the normies to care.swyx [00:35:37]: Yeah. Because normies don't care.Dharmesh [00:35:38]: That's true. But building on that, normies don't care. So, you know, privacy is a really hot topic and an easy word to use, but it's not a binary thing. Like there are use cases where, and we make these choices all the time, that I will trade, not all privacy, but I will trade some privacy for some productivity gain or some benefit to me that says, oh, I don't care about that particular data being online if it gives me this in return, or I don't mind sharing this information with this company.Alessio [00:36:02]: If I'm getting, you know, this in return, but that sort of should be my option. I think now with computer use, you can actually automate some of the exports. Yes. Like something we've been doing internally is like everybody exports their LinkedIn connections. Yep. And then internally, we kind of merge them together to see how we can connect our companies to customers or things like that.Dharmesh [00:36:21]: And not to pick on LinkedIn, but since we're talking about it, but they feel strongly enough on the, you know, do not take LinkedIn data that they will block even browser use kind of things or whatever. They go to great, great lengths, even to see patterns of usage. And it says, oh, there's no way you could have, you know, gotten that particular thing or whatever without, and it's, so it's, there's...swyx [00:36:42]: Wasn't there a Supreme Court case that they lost? Yeah.Dharmesh [00:36:45]: So the one they lost was around someone that was scraping public data that was on the public internet. And that particular company had not signed any terms of service or whatever. It's like, oh, I'm just taking data that's on, there was no, and so that's why they won. But now, you know, the question is around, can LinkedIn... I think they can. Like, when you use, as a user, you use LinkedIn, you are signing up for their terms of service. And if they say, well, this kind of use of your LinkedIn account that violates our terms of service, they can shut your account down, right? They can. And they, yeah, so, you know, we don't need to make this a discussion. By the way, I love the company, don't get me wrong. I'm an avid user of the product. You know, I've got... Yeah, I mean, you've got over a million followers on LinkedIn, I think. Yeah, I do. And I've known people there for a long, long time, right? And I have lots of respect. And I understand even where the mindset originally came from of this kind of members-first approach to, you know, a privacy-first. I sort of get that. But sometimes you sort of have to wonder, it's like, okay, well, that was 15, 20 years ago. There's likely some controlled ways to expose some data on some member's behalf and not just completely be a binary. It's like, no, thou shalt not have the data.swyx [00:37:54]: Well, just pay for sales navigator.Alessio [00:37:57]: Before we move to the next layer of instruction, anything else on MCP you mentioned? Let's move back and then I'll tie it back to MCPs.Dharmesh [00:38:05]: So I think the... Open this with agent. Okay, so I'll start with... Here's my kind of running thesis, is that as AI and agents evolve, which they're doing very, very quickly, we're going to look at them more and more. I don't like to anthropomorphize. We'll talk about why this is not that. Less as just like raw tools and more like teammates. They'll still be software. They should self-disclose as being software. I'm totally cool with that. But I think what's going to happen is that in the same way you might collaborate with a team member on Slack or Teams or whatever you use, you can imagine a series of agents that do specific things just like a team member might do, that you can delegate things to. You can collaborate. You can say, hey, can you take a look at this? Can you proofread that? Can you try this? You can... Whatever it happens to be. So I think it is... I will go so far as to say it's inevitable that we're going to have hybrid teams someday. And what I mean by hybrid teams... So back in the day, hybrid teams were, oh, well, you have some full-time employees and some contractors. Then it was like hybrid teams are some people that are in the office and some that are remote. That's the kind of form of hybrid. The next form of hybrid is like the carbon-based life forms and agents and AI and some form of software. So let's say we temporarily stipulate that I'm right about that over some time horizon that eventually we're going to have these kind of digitally hybrid teams. So if that's true, then the question you sort of ask yourself is that then what needs to exist in order for us to get the full value of that new model? It's like, okay, well... You sort of need to... It's like, okay, well, how do I... If I'm building a digital team, like, how do I... Just in the same way, if I'm interviewing for an engineer or a designer or a PM, whatever, it's like, well, that's why we have professional networks, right? It's like, oh, they have a presence on likely LinkedIn. I can go through that semi-structured, structured form, and I can see the experience of whatever, you know, self-disclosed. But, okay, well, agents are going to need that someday. And so I'm like, okay, well, this seems like a thread that's worth pulling on. That says, okay. So I... So agent.ai is out there. And it's LinkedIn for agents. It's LinkedIn for agents. It's a professional network for agents. And the more I pull on that thread, it's like, okay, well, if that's true, like, what happens, right? It's like, oh, well, they have a profile just like anyone else, just like a human would. It's going to be a graph underneath, just like a professional network would be. It's just that... And you can have its, you know, connections and follows, and agents should be able to post. That's maybe how they do release notes. Like, oh, I have this new version. Whatever they decide to post, it should just be able to... Behave as a node on the network of a professional network. As it turns out, the more I think about that and pull on that thread, the more and more things, like, start to make sense to me. So it may be more than just a pure professional network. So my original thought was, okay, well, it's a professional network and agents as they exist out there, which I think there's going to be more and more of, will kind of exist on this network and have the profile. But then, and this is always dangerous, I'm like, okay, I want to see a world where thousands of agents are out there in order for the... Because those digital employees, the digital workers don't exist yet in any meaningful way. And so then I'm like, oh, can I make that easier for, like... And so I have, as one does, it's like, oh, I'll build a low-code platform for building agents. How hard could that be, right? Like, very hard, as it turns out. But it's been fun. So now, agent.ai has 1.3 million users. 3,000 people have actually, you know, built some variation of an agent, sometimes just for their own personal productivity. About 1,000 of which have been published. And the reason this comes back to MCP for me, so imagine that and other networks, since I know agent.ai. So right now, we have an MCP server for agent.ai that exposes all the internally built agents that we have that do, like, super useful things. Like, you know, I have access to a Twitter API that I can subsidize the cost. And I can say, you know, if you're looking to build something for social media, these kinds of things, with a single API key, and it's all completely free right now, I'm funding it. That's a useful way for it to work. And then we have a developer to say, oh, I have this idea. I don't have to worry about open AI. I don't have to worry about, now, you know, this particular model is better. It has access to all the models with one key. And we proxy it kind of behind the scenes. And then expose it. So then we get this kind of community effect, right? That says, oh, well, someone else may have built an agent to do X. Like, I have an agent right now that I built for myself to do domain valuation for website domains because I'm obsessed with domains, right? And, like, there's no efficient market for domains. There's no Zillow for domains right now that tells you, oh, here are what houses in your neighborhood sold for. It's like, well, why doesn't that exist? We should be able to solve that problem. And, yes, you're still guessing. Fine. There should be some simple heuristic. So I built that. It's like, okay, well, let me go look for past transactions. You say, okay, I'm going to type in agent.ai, agent.com, whatever domain. What's it actually worth? I'm looking at buying it. It can go and say, oh, which is what it does. It's like, I'm going to go look at are there any published domain transactions recently that are similar, either use the same word, same top-level domain, whatever it is. And it comes back with an approximate value, and it comes back with its kind of rationale for why it picked the value and comparable transactions. Oh, by the way, this domain sold for published. Okay. So that agent now, let's say, existed on the web, on agent.ai. Then imagine someone else says, oh, you know, I want to build a brand-building agent for startups and entrepreneurs to come up with names for their startup. Like a common problem, every startup is like, ah, I don't know what to call it. And so they type in five random words that kind of define whatever their startup is. And you can do all manner of things, one of which is like, oh, well, I need to find the domain for it. What are possible choices? Now it's like, okay, well, it would be nice to know if there's an aftermarket price for it, if it's listed for sale. Awesome. Then imagine calling this valuation agent. It's like, okay, well, I want to find where the arbitrage is, where the agent valuation tool says this thing is worth $25,000. It's listed on GoDaddy for $5,000. It's close enough. Let's go do that. Right? And that's a kind of composition use case that in my future state. Thousands of agents on the network, all discoverable through something like MCP. And then you as a developer of agents have access to all these kind of Lego building blocks based on what you're trying to solve. Then you blend in orchestration, which is getting better and better with the reasoning models now. Just describe the problem that you have. Now, the next layer that we're all contending with is that how many tools can you actually give an LLM before the LLM breaks? That number used to be like 15 or 20 before you kind of started to vary dramatically. And so that's the thing I'm thinking about now. It's like, okay, if I want to... If I want to expose 1,000 of these agents to a given LLM, obviously I can't give it all 1,000. Is there some intermediate layer that says, based on your prompt, I'm going to make a best guess at which agents might be able to be helpful for this particular thing? Yeah.Alessio [00:44:37]: Yeah, like RAG for tools. Yep. I did build the Latent Space Researcher on agent.ai. Okay. Nice. Yeah, that seems like, you know, then there's going to be a Latent Space Scheduler. And then once I schedule a research, you know, and you build all of these things. By the way, my apologies for the user experience. You realize I'm an engineer. It's pretty good.swyx [00:44:56]: I think it's a normie-friendly thing. Yeah. That's your magic. HubSpot does the same thing.Alessio [00:45:01]: Yeah, just to like quickly run through it. You can basically create all these different steps. And these steps are like, you know, static versus like variable-driven things. How did you decide between this kind of like low-code-ish versus doing, you know, low-code with code backend versus like not exposing that at all? Any fun design decisions? Yeah. And this is, I think...Dharmesh [00:45:22]: I think lots of people are likely sitting in exactly my position right now, coming through the choosing between deterministic. Like if you're like in a business or building, you know, some sort of agentic thing, do you decide to do a deterministic thing? Or do you go non-deterministic and just let the alum handle it, right, with the reasoning models? The original idea and the reason I took the low-code stepwise, a very deterministic approach. A, the reasoning models did not exist at that time. That's thing number one. Thing number two is if you can get... If you know in your head... If you know in your head what the actual steps are to accomplish whatever goal, why would you leave that to chance? There's no upside. There's literally no upside. Just tell me, like, what steps do you need executed? So right now what I'm playing with... So one thing we haven't talked about yet, and people don't talk about UI and agents. Right now, the primary interaction model... Or they don't talk enough about it. I know some people have. But it's like, okay, so we're used to the chatbot back and forth. Fine. I get that. But I think we're going to move to a blend of... Some of those things are going to be synchronous as they are now. But some are going to be... Some are going to be async. It's just going to put it in a queue, just like... And this goes back to my... Man, I talk fast. But I have this... I only have one other speed. It's even faster. So imagine it's like if you're working... So back to my, oh, we're going to have these hybrid digital teams. Like, you would not go to a co-worker and say, I'm going to ask you to do this thing, and then sit there and wait for them to go do it. Like, that's not how the world works. So it's nice to be able to just, like, hand something off to someone. It's like, okay, well, maybe I expect a response in an hour or a day or something like that.Dharmesh [00:46:52]: In terms of when things need to happen. So the UI around agents. So if you look at the output of agent.ai agents right now, they are the simplest possible manifestation of a UI, right? That says, oh, we have inputs of, like, four different types. Like, we've got a dropdown, we've got multi-select, all the things. It's like back in HTML, the original HTML 1.0 days, right? Like, you're the smallest possible set of primitives for a UI. And it just says, okay, because we need to collect some information from the user, and then we go do steps and do things. And generate some output in HTML or markup are the two primary examples. So the thing I've been asking myself, if I keep going down that path. So people ask me, I get requests all the time. It's like, oh, can you make the UI sort of boring? I need to be able to do this, right? And if I keep pulling on that, it's like, okay, well, now I've built an entire UI builder thing. Where does this end? And so I think the right answer, and this is what I'm going to be backcoding once I get done here, is around injecting a code generation UI generation into, the agent.ai flow, right? As a builder, you're like, okay, I'm going to describe the thing that I want, much like you would do in a vibe coding world. But instead of generating the entire app, it's going to generate the UI that exists at some point in either that deterministic flow or something like that. It says, oh, here's the thing I'm trying to do. Go generate the UI for me. And I can go through some iterations. And what I think of it as a, so it's like, I'm going to generate the code, generate the code, tweak it, go through this kind of prompt style, like we do with vibe coding now. And at some point, I'm going to be happy with it. And I'm going to hit save. And that's going to become the action in that particular step. It's like a caching of the generated code that I can then, like incur any inference time costs. It's just the actual code at that point.Alessio [00:48:29]: Yeah, I invested in a company called E2B, which does code sandbox. And they powered the LM arena web arena. So it's basically the, just like you do LMS, like text to text, they do the same for like UI generation. So if you're asking a model, how do you do it? But yeah, I think that's kind of where.Dharmesh [00:48:45]: That's the thing I'm really fascinated by. So the early LLM, you know, we're understandably, but laughably bad at simple arithmetic, right? That's the thing like my wife, Normies would ask us, like, you call this AI, like it can't, my son would be like, it's just stupid. It can't even do like simple arithmetic. And then like we've discovered over time that, and there's a reason for this, right? It's like, it's a large, there's, you know, the word language is in there for a reason in terms of what it's been trained on. It's not meant to do math, but now it's like, okay, well, the fact that it has access to a Python interpreter that I can actually call at runtime, that solves an entire body of problems that it wasn't trained to do. And it's basically a form of delegation. And so the thought that's kind of rattling around in my head is that that's great. So it's, it's like took the arithmetic problem and took it first. Now, like anything that's solvable through a relatively concrete Python program, it's able to do a bunch of things that I couldn't do before. Can we get to the same place with UI? I don't know what the future of UI looks like in a agentic AI world, but maybe let the LLM handle it, but not in the classic sense. Maybe it generates it on the fly, or maybe we go through some iterations and hit cache or something like that. So it's a little bit more predictable. Uh, I don't know, but yeah.Alessio [00:49:48]: And especially when is the human supposed to intervene? So, especially if you're composing them, most of them should not have a UI because then they're just web hooking to somewhere else. I just want to touch back. I don't know if you have more comments on this.swyx [00:50:01]: I was just going to ask when you, you said you got, you're going to go back to code. What

Episode 118In this episode, we dive into Luke 11:1–13, where Jesus responds to His disciples' heartfelt request: “Lord, teach us to pray.” Together, we explore how Jesus' model prayer goes beyond routine words to reveal a powerful pattern for passionate and effective communion with God. We'll uncover the boldness, persistence, and trust that mark true prayer, and learn how to approach our Father with confidence, knowing He delights in giving good gifts. Whether you're new to prayer or seeking to reignite your prayer life, this episode will guide you toward deeper, more dynamic conversations with God.Original Sermon: https://www.sermonaudio.com/sermons/31725238226032Find our videocast here: https://youtu.be/Lcy9vGxT7a4Music from #Uppbeat (free for Creators!):⁠https://uppbeat.io/t/reakt-music/deep-stone⁠License code: 2QZOZ2YHZ5UTE7C8Find more Take 2 Theology content at https://take2pod.wordpress.com/

Sarah Howard joins Morning Light today during our weekly "Passionately Pro-Life" segment, sharing her thoughts on the classic novel "Frankenstein." How can a story that is more than 200 years old teach us a pro-life lesson in modern times?  Tune in and learn more!

For your second psychological stroking by Dr KOKO this week, we have brought in a very special guest to help break down all your emotional walls and to peer deeply in the rubble of your hearts. That is right, this week the lads are joined by the slickest speedster in Sydney, a Tah that tallies tries quicker than Swoop sucks back a slippery nipple, it is of course the Wallabies very hungry Viking Mr Max Jorgensen.The boys opened up their shoulders and got stuck into Jorgo's career thus far, his decision to play union over league and what it was like to crush the souls of every Englishman on the Spring Tour. Plus, the lads get their pretty little paws dirty previewing round 5 of the Super Rugby, placing their picks for the final flash of Six Nations footy and once again they lock in some more lucky Lions.So, fear not our feeble footy fiends we are hooking you up with the good shit to keep the cravings at bay, this show is 100% pure Aussie goodness and we promise it's cut clean. It is time now for another instalment of Kick Offs and Kick Ons. TIMECODES: 00:00 - Start of the Show 03:41 - Introduce Max Jorgensen 05:19 - How do you pronounce Max's name? 06:09 - Jorgo on Dan McKellar06:44 - Lachie McCaffrey as a defensive coach08:47 - Waratahs win over the Force09:23 - The impact of the Rebels players on the Waratahs 10:11 - What Jorgo chose union over league?11:53 - Jorgo's transition into professional footy 13:23 - Jorgos try against the English 17:16 - Jogo on the British and Irish Lions 19:45 - Jorgo talks about Joseph Sua'ali'i 21:40 - Joe Schmidt's influence on Jorgo23:42 - New Wallabies coach to be selected in the coming weeks 24:31 - Other Rugby News 30:53 - ITALY V IRELAND PREVIEW 32:06 - WALES V ENGLAND PREVIEW 32:43 - FRANCE V SCOTLAND PREVIEW 33:40 - Super Rugby Round 5 Preview 38:08 - Super W review and preview 39:28 - Locked In Lions Segment 42:35 - Close of the show BUY YOUR KOKO MERCHANDISE AND STAY TUNED FOR EVENTS - www.kickoffsandkickons.comMake sure you follow us on all socials:INSTA: @kickoffskickons TWITTER/X: @kickoffskickons YOUTUBE: @kickoffsandkickons TIKTOK: @kickoffskickons If you do want to talk about sponsorship or anything business related then please do get in touch with us info@shtn.com.au. Hosted on Acast. See acast.com/privacy for more information.

Tiki makes the case that the Giants have to make a decision regardless on Stafford

Welcome to this episode of 20/20 Money! My guest on today's show is Dr. Leigha Nielson, OD FOVDR, founder of High 5 Vision Development in New Braunfels, TX.   Leigha joins me on the show to talk about how she's created both a successful practice and a life she loves—personally and professionally—through a vision-therapy focused practice. She talks about her journey as a practice owner under the TSO (Texas State Optical) brand and how she transitioned to her own stand-alone practice and why she made the commitment to to change. She also shares the details about the operations of her practice—from the pricing discount she provides to patients that pay all in full to how she thinks about leverage and return-on-investment with the team that supports the care provided to patients, Leigha is very transparent about how she's made her practice profitable while also not compromising her passion for vision therapy.   As a reminder, you can get all the information discussed in today's conversation by visiting our website at integratedpwm.com and clicking on the Learning Center. While there, be sure to subscribe to our monthly “planning life on purpose” newsletter that's filled with tips and ideas to help you plan your best life, on purpose. You can also set up a Triage conversation to learn a little bit more about how we serve in the capacity of a personal and professional CFO: helping OD practice owners around the country reduce their tax bill, proactively manage cash flow, and make prudent investment decisions both in and out of their practice to ultimately help them live their best life on purpose. If you're interested in learning more about the 20/20 Money Financial Success Masterclass, a course & platform that we created to help ODs become “brilliant at the financial basics,” please check out the link in the show notes of this episode to learn more.   And with that introduction, I hope you enjoy my conversation with Dr. Leigha Nielsen, OD, FOVDR.   OD Masterminds™ Information Request   Resources: 20/20 Money Membership Information Episode #256: Successful Implementation of VT in your practice with Dr. Heidi Bell OVDRA Cherry Financing Emergent VT Training Platform for Vision Therapists     ————————————————————————————— Please rate and subscribe to 20/20 Money on these platforms Apple Podcasts Spotify Google Podcasts Stitcher  ————————————————————————————— For past episodes of 20/20 Money with full companion show notes, please check out our episode archive here!

During our weekly "Passionately Pro-Life" segment, Jacqueline Wakefield joins Morning Light on the topic: What the media, and those attacking Idaho's abortion law, fail to tell you. After sharing Idaho's abortion challenges and statistics, she does some myth busting because pro-abortion advocates claim that changes are needed because: Idaho's abortion law is causing a physician desert, doctors are confused and fear prosecution, Idaho's abortion law is hurting women and causing hospitals to close.  

Morning Light talks with Dr. Christina Francis, keynote speaker for the upcoming Boise March for Life, this Saturday at 1:30pm on the steps of the Idaho Statehouse.

Worship is a humble submission to the majesty of God. We worship Christ because only he is truly worthy. Only Christ makes everything right.    Where do you go?     Jesus is everything!     Sermon by:  Pastor Adam   ------------    You are welcome and loved by the Lord and His Church!    ------------   If you need prayer or help, please reach out to us! We are a church that desires to follow Jesus and seek His Kingdom as one body together in Him through loving Him with all we have and loving others.   In all we do, we seek to... worship the Lord passionately, connect authentically, grow to know the Lord deeply, and go and share the gospel boldly as One Body in Christ.     Maybe the Lord has brought you to this message for a reason.   "And Jesus came and said to them, “All authority in heaven and on earth has been given to me. Go therefore and make disciples of all nations, baptizing them in the name of the Father and of the Son and of the Holy Spirit, teaching them to observe all that I have commanded you. And behold, I am with you always, to the end of the age." -Matthew 28:18-20

God is actively looking and seeking out those whose heart is perfect, loyal, and at peace with him to show himself strong on their behalf. We consider together where can we find the heart of God? We find the heart of God, in Christ, in his word, in his house, and among his pastors. We […]

Destiny Christian Center January 12, 2024 Passionately Pursuing, Pastors Lawrence & Tracy Neisent destinyokc.com

ONE THING Live passionately here and now, but not for the here and now! Trust in the Lord with all your heart; do not depend on your own understanding. Seek his will in all you do, and he will show you which path to take. – Proverbs 3:5-6 (NLT)

Worship Service

How Mary Kringle replaced Kris with a set of dildos & her elf girlfriends.By cb summers. Listen to the Podcast at Steamy Stories. Things really started changing quickly after that. For one thing, Mary moved out of her apartment to be nearer the test room and the small sex toy manufacturing facility she was setting up. I hardly saw her anymore. I resisted the urge to go to the viewing room that week, for fear of dallying with Snowbell again or some other adorable elf.There was something in the air on the factory floor… a buzz of excitement. Wherever I went, I saw elves smiling up at me and whispering to each other. I figured they were talking about the new clothing Mary was designing. But I worried that they knew what Mary and I had done with Snowbell and the other elves… it was too horrible to contemplate! Whatever it was, I found their ancient eyes on me unnerving.I had at least one reason to suspect our dalliance had gotten out: my loyal secretary Blizzard, who'd been my assistant for 85 years, suddenly started flirting with me. At first I didn't realize what she was doing, but eventually I noticed that she'd left her frumpy striped blouse unbuttoned a bit too far. She bent over a few times, and I saw the top of her cleavage to the lacy top of her little elf bra. Then I noticed she wasn't wearing the red and green striped hose I made the female elves wear. She was showing me her bare powder blue legs for the first time ever, and I was shocked by how shapely they were. Blizzard, who was named for her snowy white skin, had always taken care of me. I'd always considered her a mother figure. But now…When I asked her to take a letter, she sat and crossed her luscious legs… slowly… so as to give me a glimpse of her little elf panties. Then, as I dictated, she looked at me intently over the top of her glasses, and every once in a while she'd slowly lick her lips. It was a seductive expression if I ever saw one. All at once I realized the implication of what was going on. She would do anything I wanted. Anything. No questions asked. Any of the elves would. It was pure, unadulterated temptation.I had no idea how I was going to resist. But I held out as long as I could.Every day I fought off the urge to go to the viewing room. But after the eighth day, Snowbell sent me a message saying that Mary was running the last test today. If I was interested in watching, this would be my last opportunity. That pushed me over the edge. Snowbell wanted me to come. Snowbell wanted me to cum! I couldn't resist, but I made up my mind not to do anything naughty. I wanted to be true to Mary, as I was sure she was trying to do too. So as I walked to the viewing room at the appointed time, I was determined to tell Snowbell to leave, and I would lock the door behind her. I wanted to masturbate alone, watching my naked wife play with sex toys, like a normal husband!When I entered the viewing room, my plan went up in smoke. Snowbell was waiting for me, wearing a thin, see-thru, pale blue teddy. I could see her dark blue nipples through the snowflake pattern. I forgot all about my plan.“Glad tidings, Santa! I'm so happy you're back.” She was glittering with happiness. “Here, have a seat. The test hasn't started yet.”I sat on the couch. Snowbell stood nearby, just looking at me, beaming with happiness. It was a good thing I'd worn baggy pants, because my cock was already growing just looking at her amazing little body.“How are you today, Snowbell?”“Wonderful, Santa, now that you're here. I was so worried you wouldn't come. I've missed you.”“Really?” I asked.“I had so much fun last time. I've told all the elves about it.”“Christmas crackers! You shouldn't have!” I snapped, even though I'd suspected as much.She put her delicate hands to her mouth, and her eyes filled with tears, “Oh… Santa… was I naughty?”Elves are ancient and wise, but quite emotional sometimes. I hated the look of despair on her face, so I put my hand on her little shoulder and said, “No, it's okay…I'm just… shy, I guess.”She smiled again, glad I wasn't angry. “Well, Santa, you have no reason to be shy. Elves aren't. We only wear clothes because you want us to. In our homes, we take everything off… well, not everything. Sometimes we like to wear things that make us look sexy.”“Really? I didn't know that.” I had to admit.“No, of course not Santa. You told us not to talk about those sorts of things thousands of years ago. You thought we were naughty.”“No, I'd never think elves are naughty.” I admitted.“Really? That's good to know.” She said, a mischievous gleam in her ancient elfin eyes.I crossed my legs to hide my growing erection and said, “I was actually afraid you'd think I was naughty after… you know.”“After you anointed me?” She giggled. “Don't be silly Santa! I've been anointed before. But that was the first time Santa anointed me! Everyone is so happy for me! Oh, you were so delicious! Yummy, yummy, yummy!”“I'm not the first?” I asked.“Of course not, silly! Elves anoint each other all the time!”“You… have sex too?”She laughed, “Of course, Santa! All kinds… all the time! We play every night after closing time in the little houses you made for us!” I'd always assumed those parties I heard were just… parties. But were they orgies? I've always considered elves pure goodness. If they had sex all the time… maybe having sex all the time was a good thing.She put her hands on my knee and leaned toward me, batting her elfin eyes, her breasts pushing up beautifully between her arms.“How do you like it?” she said, glancing down at her body.“You're beautiful, Snowbell.”She giggled, “Thank you Santa, but I didn't mean that. I meant what I'm wearing!” She spun in a little circle. “Mrs. Claus designed it.”“Is that… the new uniform?” I asked with a gulp.“No, not really. Mrs. Claus says there won't be uniforms anymore. She's designing a bunch of different things, shirts, robes, pants, and dresses. She says we get to wear whatever ones we want! I chose this one. It's my favorite. You can see my little nipples through it!” She giggled as if that was so funny. Elf humor, I guess. I heard a jingling and looked down to see single little bell hanging from a little strap around her waist. It was dangling right in front of her perfect vagina and ringing playfully as she laughed. She looked amazing but… was this the future? Would the factory be full of half-naked elves walking around looking like… this? I had to talk to Mary about this whole concept.Just then, Mary entered the test room. She was wearing red lingerie. Holy, Blitzen! I'd given it to her as a Christmas gift in 1872, but she'd never worn it before. Somehow seeing her in that skimpy red lace shift, beaded with pearls, made her look even more erotic to me than when she was totally naked. Maybe I just have this thing for red and white… but whatever it was, she looked utterly amazing. Then it got even better. She reached up and removed whatever it was that held her hair up in that abominable bun, and her long Christmas-red hair tumbled down her shoulders.I suddenly remembered why I fell in love with her.In the summer of 1702, I visited a remote Bavarian mountainside to collect the special syrup I'd been harvesting from the trees every year. I heard the beautiful echoing voice of someone singing a Christmas Carol. Lasst Uns Froh Und Munter Sein, to be precise (one of my favorites). I followed the sound and came across the most wonderful sight I'd ever seen. A pretty, redheaded Bavarian girl, standing with her back to me, a few feet out in the shallows of a clear mountain lake. She was wearing nothing but a loosely fitting red undergarment which the sun was shining through. I could see every detail of her silhouette: her long gorgeous legs, her curvaceous hips, and delicious buttocks. She'd already removed a big blowsy dress and had thrown it over a nearby stump. A moment after setting my eyes on her gorgeous figure, she reached up behind her head and undid her hair, with the intention of washing it. Her silken hair, which was the color of holly berries, cascaded down over her shoulders, like a red waterfall. I fell in love with her. Right there. Right then.I stepped on a twig and she turned with a start. Her eyes grew wide. She knew who I was the second she saw me. Everyone knows Saint Nicholas in Bavaria! She was so surprised and in awe of me, she didn't notice that the front of her undergarment was wide open, and I could see her beautiful breasts as plain as day, illuminated magically by sunlight reflecting off the surface of the lake. I gulped, my eyes riveted to her perfect tits. They were about the same size as her head and had large, fawn colored areolas decorated with tiny little nipples. As an added bonus, I could see the very top tuft of her beautiful red bush.Rip! My cock grew instantly hard, ripping upward through the leg of my pants, until it was pointed right at this lovely stranger. Her eyes opened even wider. That's not something you see every day. We just stared at each other for the longest time, not wanting this perfect moment to end.At just the right moment, I walked toward her, not bothering to cover my cock. She backed up a little almost slipping on a stone. She must have thought I was going to ravish her on the spot, but I wasn't that sort of man. I walked out into the shallow water, got down on one knee, and took her hands in mine.“Marry me,” I said.“Yes,” she replied.That's how we did it in the old days. None of this premarital sex stuff. You just saw a girl you fancied and you married her. Her parents were thrilled. Their last name was Christmas, which tells you that they were pretty big fans of yours truly. It just seemed like perfect symmetry that their daughter would grow up to marry Saint Nicholas.After the charming little wedding we boarded my sleigh. With the whole village cheering, we took off into the sky, heading north over the Bavarian Alps. Mary's long red hair was dancing about her head in the breeze. The little white flowers she'd braided in it were flying out, leaving a trail of petals falling earthward behind us. Her face was so happy, so young, so full of life. She excitedly asked me questions about the North Pole and insisted on calling me Saint Nicholas, even though I'd told her my real name was Kris Kringle. I didn't mind. It was charming. I felt a happy feeling that nothing in the world could buy.As we talked I grew more and more enchanted by her beautiful blushing face and flashing eyes. I had intended to bed her at the North Pole, but I couldn't wait any longer. The reindeer knew the way home, so I put down the reins and began to kiss Mary and touch her body, feeling the firmness of her large breasts for the first time. My cock was hard, but I'd strapped it down before the wedding, afraid it might misbehave during the ceremony. Mary ran her fingers along length of the hard log strapped to my thigh.“My… Saint Nicholas, how big you are!”“Would you like to see it… again?” I asked her, breathless with lust.“Yes, Saint Nicholas,” she said, shyly. She crouched in front of me, and pulled off my boots, carefully putting them aside. Then she unhooked my suspenders. Then she unbuttoned my pants, tense with anticipation, and pulled them down, followed by my red and green striped boxers. She stopped for a moment to stare at my enormous cock. The strap holding it down was digging into my thigh.“That looks painful!”“It is. Why don't you take it off for me?”She kneeled and breathlessly unhooked the leather strap, her fingers brushing against my naked flesh thrillingly. She had to pull hard to unhook the belt, and when she did my cock popped up and bonked her on the chin so hard that she said, “Ow!” and giggled.I chuckled along, but our laughter died out as she began to study my ruddy penis with intense interest. It was probably the first one she'd ever seen. She probably didn't know that it was unusually large, but she was impressed nonetheless. She began to touch it tenderly with her exquisite fingers. She ran her hands delicately around and around, then circling under my balls, and feeling the weight of them in her hands. I was utterly transfixed by the sensation! Then she bent over and kissed the head of my cock with her beautiful lips. I was so excited! No woman had ever seen it, much less kissed it! Then she opened her mouth as wide as she could and tried to swallow it. I'd heard lots of bawdy talk from lumberjacks and their trappers, so I knew all about blowjobs, but I'd never thought I'd be given one. She was a tall girl, very big boned, so she was able to get the head of my cock in her mouth, although it didn't go very far inside. She started stroking my shaft with her soft, large hands, lubricating everything with her saliva. As she did this, I took off my coat and shirt. I was in heaven.I felt a little surge of pre-cum shoot into her mouth. She looked at me in surprise. Then she suddenly stood up, her eyes wide with lust, and sat on the dashboard of the sleigh. She propped her feet on the seat on either side of me. I wasn't sure what she was doing, but I just watched her, transfixed by the beautiful sight of her hair was whipping about her head as she stared at me, her face tense with excitement.“Father told me to make sure you see.” She pulled up her dress, slowly, revealing her beautiful, long, naked legs. Much to my delight, I discovered she wasn't wearing any underwear. I was looking right at her glorious pussy. She reached between her legs, and pulled the pussy lips open to show me she that she was still a virgin. I leaned forward, ostensibly to inspect her hymen, as the preacher had insisted I do, but the instant I got close enough I had the overwhelming urge to kiss her there. I ran my hands up her thighs to grab her naked ass in my eager hands and buried my mouth between her wet lips. I tasted her sweetness and breathed in her musky scent, my nose buried in her holly berry bush. She groaned in pleasure, shocked I think, at the sensations I was giving her. A delicious liquid began to ooze from the little hole in her hymen. I lapped it up with my tongue then played with the thin membrane of her hymen, knowing that soon it would exist no more.I sucked and kissed her virgin pussy, wanting to extend our innocence as long as possible. But, desperate with passion, she pushed me back, and kept pushing until we both stumbled and tumbled over the seat into the back of the sleigh. I landed on my back on my magic sack, which, though empty, did protect me from getting splinters. In a twinkling, Mary was straddling me, looking down with an almost crazy expression on her face. Then she lowered herself onto my cock in one swift move and cried out in pain as I pierced her hymen. We were no longer virgins.“Mary, are you alright?”“Mother said it would hurt at first,” she whimpered. She forced herself farther down on me, grimacing in pain… she was so damned tight! Then, when about a third of my manhood was inside her the tip pressed against the back wall of her vagina, making her yelp in pain again. She stood up and my cock popped out of her. She looked at me, her face almost frightened from the pain it had caused her.“Saint Nick… I knew you were large… but… Oh, my!”“Mary! You're bleeding!”She looked down at the trickle of blood running down her thigh. “Mother said I would bleed. It's nothing.” But I sat up and tenderly kissed her pussy, and wiped away the blood with a corner of my magic sack.“I'm so sorry I hurt you, Mary.”“No, we need to do this. Just… give me a second.” She made me lie back again, as she screwed up her courage. Then she lowered herself again onto my shaft. I was about four inches thick, and it took all her effort not to scream as I penetrated her. She was so tight around me, it felt like I was ripping her open. But I saw determination in her face. She began to go up and down on me, faster and with greater ease. Then the pain on her face turned to pleasure. She smiled a large beautiful smile and began to groan.“Oh… Saint Nick!!! Sing for me!”I was always happy to take requests, even while making love to my beautiful bride. I began to sing a traditional Bavarian sleighing song. I sang with gusto. I'm always the loudest one when the caroling begins! Oh, what fun it was to sing a sleighing song that night! Mary was riding herself up and down on me with more and more power, in tempo with my singing, making the bells on the side of the sleigh jingle with each thrust. Then she started singing along, laughing from time to time at the gleeful absurdity of it all. She was fucking Saint Nicholas in his sleigh, the Bavarian Alps towering all around!I stopped singing when a surge of intense pleasure hit me in the guts. I felt something powerful building up inside me, from the tips of my toes and the top of my head. And all of that power was surging down to my balls, then started galloping up my shaft to the tip. I bellowed with joy as I came inside my lovely bride. I hadn't had an orgasm since before I was transmogrified. I'd been required to swear an oath to be celibate until I was wed. I guess I had a bit of a backlog of cum from centuries of disuse, because it went on and on, gush after gush for at least two full minutes, until it was pouring out of her around my cock, and across my balls, and pooling up around my ass. She moaned in pleasure, having an orgasm just from the sensation of three quarts of cum shooting inside her. It was an absolutely amazing moment, made doubly wonderful because of the love I felt for this beautiful woman.As I watched Mary let down her hair in the test room, I thought…I don't love her anymore.It was a shock to realize it. But I don't think I'd loved her in ages. Oh, she was still a beautiful, sexy woman, and I was enjoying the sight of her smoking hot bod, but… I wasn't all that interested in fucking her any more.Snowbell, on the other hand… I looked at her and I felt a tingling in my heart and in my cock. Love. If only I weren't a married man… I opened my arms and said, “Come here Snowbell.”She happily hopped sideways into my lap, right on top of my growing erection, which made her giggle. I hugged her playfully and cuddled her up to my face, her cheek to mine. I loved the way her body wiggled as she giggled. I was trying to desexualize her by treating her like a pet. But it didn't work. I wanted Snowbell to touch my cock again… but I resisted the urge and put her on my left knee, away from my erection.“Let's just watch, Snowbell. Okay?”“Yes, Santa, I would love to watch with you!”We looked into the test room. Mary was waiting expectantly on the fluffy bed, looking at a door on the blank white wall. The door opened and a blonde woman walked in. What the…? I had no idea who she could be. The nearest arctic station was about twenty miles away. Besides, this woman was built like a porn star. Then I realized I was seeing the life-sized sex doll! It was freakishly realistic. It was a high quality sculpture of an actual porn star, cast out of silicone, with real human hair woven on its head and pussy. It had an articulated skeleton, and realistic, fuckable openings in the mouth, pussy and anus. Freaky. A group of scantily dressed female elves were standing on each other's shoulders, manipulating the doll like a puppet, so it appeared to be walking. The doll was platinum blonde, dressed in a flimsy pink negligee, and white fishnet hose held up by a garter. It had bigger boobs than Mary. Obscenely large in fact. Its face was blank and its blue eyes empty of life. But when it moved… it came to life… it became a ‘she'. Elves are natural puppeteers.It was probably the weirdest thing I've ever seen, and it just got weirder.Mary looked at… I'll call her Dolly… appraisingly, as if deciding how best to use her. She reached out and squeezed Dolly's breasts with her hands. One of the elves giggled, and I realized she was voicing the part of Dolly. Mary smiled shyly, looking coquettishly at Dolly's eyes.“You have very pretty breasts,” said Mary, somewhat awkwardly.“So do you,” said Dolly, as she reached out to touch Mary's breasts. Mary arched her back lustfully, and pulled the front of her shift down, exposing her beautiful mammaries to Dolly's hands. Tinsel, a beautiful blue elf, stood between Mary and Dolly, and reached up past Dolly's inanimate hands to do the touching for her. Tinsel's long delicate blue fingers fondled Mary's perfect breasts, pinching her nipples.At the same time Mary squeezed and pinched Dolly's breasts and the elves groaned, “Oh, Mrs. Claus, that feels so good.”This went on for a while, the two of them… or the three of them, touching each other all over. I thought Dolly was creepy, but it was wonderful to see Tinsel's blue hands fondling Mary's breasts and ass. It was naughty… but utterly erotic.I felt Snowbell's hand starting to stroke my erection through the velvet.“Let's just watch, Snowbell.”“Okay,” she sing-songed, taking her hand away. But a minute later her hand was touching my erection again. That was odd. Usually you told an elf to do something and they did it. You never had to tell them twice. Never. But she was deliberately disobeying my orders. Still… it felt good… and it wasn't really like we were having sex… or so I told myself. So I let her continue.Mary kissed Dolly on the lips. Passionately! I felt a little surge of jealousy. Mary hadn't kissed me with that much passion in an elf's age. But she was kissing a hunk of petroleum byproducts like it were George Clooney!“If you want to masturbate, Santa, I won't mind,” said Snowbell, hugging me sweetly.“Well… Why not? Just… don't touch me there, please, Snowbell.”“Oh? You liked the way I touched you there before.”“I'm married. It's naughty for me to… to have sexual relations with anyone other than Mrs. Claus.”She laughed, “Oh, yes, I read about that silly custom on the human internet. I didn't know that rule applied to demigods!”Actually… I didn't know either. I had just sort of assumed it. I was born a human, so I'd always figured the same rules applied to me even after I was transmogrified. “Just, please Snowbell. I'm trying to be good.”“I understand, Santa. I won't touch.”I took out my cock, and Snowbell reached between her legs and offered me a dewdrop of her magical juices. I thought I probably shouldn't… but I took it, remembering how wonderfully tingly it felt. I broke the delicate drop open against my cock and spread Snowbell's pussy juice all over. Oh, elf magic… Um. I masturbated slowly, sensuously, as I watched my beautiful wife have sex with a rubber doll.Mary tried various things with Dolly… weird approximations of lovemaking. It was strange seeing her attempting to have sex with a woman. I knew some of the sample sex toys were strap-on dildos, so I wondered why she didn't just strap one of them onto Dolly. But I soon found out. Mary got on her knees, put her head between Dolly's legs and licked and sucked her silicone vagina, either enjoying it or pretending to, while the elves made Dolly appear to writhe and moan in pleasure. Dolly pulled at Mary's hair, and Mary responded by driving her tongue insistently into Dolly's plastic pussy. Mary reached between her own legs and began fingering herself with her ass aimed right at me. Oh, Mary… my heart ached for the past, when she'd wanted me to touch her there. It was an exciting sight to masturbate to, but angering as well, because I knew that Mary wouldn't let me touch her pussy with a ten-foot pole. She'd reduced me to this pathetic voyeurism.Then Mary lay on her back, and now Dolly crawled to the floor and pushed Mary's legs wide. Tinsel crawled under Dolly's head and put her elfin mouth on Mary's vagina. I felt a surge of anger. Why does an elf get to do that but not me? Then I berated myself. What did I care? I didn't really want to do that stuff to Mary anymore. I just wanted her to want me to.But then I started wondering… these tests had been going on all week… had Mary been having sex with her elves all that time? I'd sort of assumed she was as ashamed as I was about what happened. And whenever I did see her, she and her elves seemed to be all business. This was supposed to be research testing, but this had nothing to do with a sex toy! It's not like the women receiving these presents would have a bevy of little elfin beauties eat out their pussies. It was as plain as the elf in Mary's pussy… she was cheating on me!! Sure, I did it one time with Snowbell, but Mary had been doing it all week, who knows how many times?! I was furious! I imagined myself breaking through the window, throwing Dolly and the elves aside and ramming my huge cock inside Mary's inconstant pussy and fucking her, in spite of her protests, shouting, “Kris Kringle calls the shots around here!!!”But of course, I'd never do that kind of thing, and the anger began to dissipate. I noticed Snowbell was staring hungrily at my cock as I stroked it. She was still perched on the edge of my thigh with my left arm around her back, but now her legs were open and she was quietly playing with her perfect little pussy, sinking her long willowy fingers deep inside herself, while fingering her clit with the other hand. I itched to reach around her back and cup her little round breast in my hand. But I refused to betray Mary even though I was watching her betray me with Dolly and Tinsel right now.Mary was moaning with pleasure. I noticed now that Tinsel had a long tongue; probably six inches long. It was pale blue and agile, like a Giraffe's tongue, and whenever Tinsel went deep inside, Mary would grab Dolly's hair and shout in joy. I vaguely remembered seeing a long elf tongue centuries ago. It had grossed me out so much that I told the elves to keep their tongues in their mouths when they were in the factory, and they'd happily obliged. But now I could see Tinsel putting that long tongue to good use, probing Mary's vagina, feeling out places a cock or finger could never reach. Mary was writhing in ecstasy, and I was jerking myself off like there was no tomorrow. Tinsel was on her knees, and another elf, Greentree, reached over and lifted the back of Tinsel's robe and sunk her fingers into Tinsel's shimmering pussy. Fuck, that was hot! I felt my balls tingling. Then I noticed it was Snowbell's foot. She'd bent it back and was now tickling my balls with her long, agile toes as she masturbated herself!I wanted to tell her to stop… but I didn't. I looked down at her beautiful aqua body, which was flickering with pale magenta flashes in her glittery skin. She was fingering herself and her little baseball sized breasts were bouncing around under the flimsy teddy. I didn't know where to look… at Greentree touching Tinsel's pussy, or Tinsel going down on Mary's pussy, or Snowbell fingering her own. I felt a surge that told me I was going to come any second now… but I stopped rubbing my cock just in time to stop my orgasm.“Are you okay, Santa?” asked snowbell.“I'm okay… just trying not to… you know.”“Oh, good idea, Santa. You should never waste it unless you plan to anoint someone. You can anoint me, if you like.”She was looking up at me, four long fingers inside her vagina, smiling, hoping I would say yes. The bell between her legs was jingling like crazy as she finger-fucked herself. Our eyes were locked when she came, emitting a high pitched squeal of pleasure. It was like looking into eternity; she was so ancient, yet so pure and full of love. When she came, her toes squeezed my balls in a powerful reflex. It's a good thing I'm Santa, or it could have hurt me. But my balls aren't delicate little Christmas ornaments.Snowbell, humming in pleasure after her orgasm had passed, reached over casually and wrapped her hand around my naked cock and began to stroke me with her juice-covered fingers. It felt so good… but I needed to stop her! Whatever else may happen, I didn't want Mary to ever find out I had cheated on her.But then… I began to wonder again why Snowbell had disobeyed my orders not to touch me. With a sudden flash of realization, I remembered that she wasn't my elf. She was Mary's elf. Duh! No wonder she wasn't following my orders!I took her hand off my cock and calmly asked her, “Did you tell Mrs. Claus what you and I did the other day.”Snowbell, still in a post orgasmic state, answered woozily, “Oh yes, Santa. I tell the mistress everything.”I should have known… but Mary hadn't shown any sign of anger at all! Actually she'd been more pleasant to me lately than she'd been in years.Snowbell continued, “She told me to make you happy, Santa. I was happy to do it. I love Santa. His cum tastes like nutmeg!”So… it was Mary's idea for Snowbell to… what? Seduce me? Why? Then I knew why. It was so I wouldn't complain about what she was doing right now. If I could cheat, so could she!Mary's moans of pleasure developed into a powerful orgasm, even more insistent and amazing than any of the previous ones. Tinsel's long tongue was really going to town on Mary's pussy now. Dolly was reaching up, and the elves were pinching and twisting Mary's tits for Dolly.Strangely, I didn't feel mad. Because, it was obvious… Mary didn't love me either.To be continued..By cb summers for Literotica

Lulu Reynolds was having a torrid affair with her music teacher. Her husband was an ex-Cavalry scout who carried a .38 in his jacket pocket. It wasn't the kind of thing that usually ends well. It didn't. (Portland, Multnomah County; 1900s) (For text and pictures, see https://offbeatoregon.com/1308c-reynolds-love-triangle-kissing-the-corpse.html)

Click Here to ask your book writing and publishing questions!Have you ever imagined trading a stable career for the unpredictability of writing and publishing? That's exactly what Patti Hall did, transitioning from urban design to becoming a full-time writer and publishing strategist. Patti and I dive deep into the kind of personal transformation that makes most people's comfort zones quake. Her journey isn't just a career shift—it's a masterclass in resilience, triggered by her son's diagnosis with gigantism and propelled by an unwavering commitment to storytelling that matters.Our conversation takes a candid look at the realities of traditional publishing. And, as we explore the myths surrounding bestseller status, we underscore the importance of writing with a purpose and focusing on genuine connections with specific communities rather than chasing commercial success. Buckle up for an episode that's part hilarious writing room confessional, part vulnerable heart-to-heart. We're talking editing battles, narrative vulnerability, and those magical moments when personal story intersects with universal truth.  Let's get you published! PublishAProfitableBook.com/Publish (use code AUTHOR25 for 25% off!) MOCKUP SHOTS DEALI've used MockUp shots for years to create attention-grabbing images great for social media. It usually costs $207, but they're offering a 60% discount on lifetime access with lifetime updates. It's a great way to get an unheard-of price on a product that will make you money and that you will end up using all the time.Click Here for 60% off >>Write the Damn Book Already is a weekly podcast featuring interviews with authors as well as updates and insights on writing craft and the publishing industry. Available wherever podcasts are available: Apple PodcastsSpotify YouTube Let's Connect! InstagramWebsite Email the show: elizabeth [at] elizabethlyons [dot] comThe podcast is a proud affiliate partner of Bookshop, working to support local, independent bookstores.To see all the ways we can work together to get your book written and published, visit publishaprofitablebook.com/work-with-elizabeth

Morning Light talks with Tim Schwarzenberger, CFA with Inspire Investing during our weekly Passionately Pro-Life segment. Tim shares details on the battle being engaged against pharmacies dispensing mifepristone thus causing stores such as Costco, Walmart, Kroger and others from entering into the politically-charged abortion drug marketplace.

Sens head coach Travis Green speaks to the media ahead of wrapping up their homestand against the Calgary Flames

Notes and Links to Rus Bradburd's Work        Rus Bradburd's latest book is the satirical novel, “Big Time.”  Rus attended Chicago Public Schools for eleven years before graduating from North Park College. After coaching basketball for fourteen seasons at UTEP and New Mexico State University, he left the game to study with Robert Boswell and Antonya Nelson—and pursue a life in writing. His five books focus on the intersections of sport, social progress, politics, and race. Rus has remained connected to the game through his acclaimed Basketball in the Barrio summer program in El Paso, as well as serving as NMSU's television “color analyst.”  He was awarded a Fulbright fellowship to return to Ireland to work on his next book about refugees in Belfast, “Almost Like Belonging.” An accomplished fiddle player, he lives in Chicago, Belfast, and New Mexico. Buy Big Time   Rus Bradburd's Website At about 2:00, Rus gives background on his fiddle playing and his time as color commentator for New México State University  At about 3:40, Rus talks about Big Time as his first work of fiction, as well as its nice timing, and he details how he worked on the book for many years At about 5:40, Rus outlines some of the book's exposition and plot, and talks about the current Colorado Football connections At about 6:40, Rus talks about Univ of Chicago's 1939 dropping of football and other stimuli for the book's genesis, including Rick Russo's work, and Dave Meggyesy's book  At about 8:40, Rus talks about satire and fiction and ideas of how fiction often gets at truth so well At about 10:00, Rus gives more background on committee workloads and how the proliferation of committees and on particular example worked their ways into his book  At about 12:25, Rus talks about normalization of budget imbalance in universities  At about 13:30, Pete and Rus discuss the book's epigraph, and Ruis talks about how the book satirizes college athletics, while he's “knee-deep” in sports still At about 15:30, Pete details a compare and contrast lesson that he teaches  At about 17:00, Rus responds to Pete's question about the book's opening and main characters Mooney and Braverman, history professors, working concessions at football games  At about 18:40, Rus gives background on “pop poet” Layla, and the ways in which she and the two history professors work together; Rus connects today's conversations around student protests and protests in the book At about 20:30, Rus talks about the downfall of the Coors State English Department in the book At about 22:00, Rus cites the Missouri Football protest in fodder for a similar situation in his book At about 23:00, Rus speaks about rich owners often asking taxpayers to finance big building projects  At about 24:20, Pete asks Rus about any inspirations for Layla, and he expands upon how the character evolved in his writing At about 27:50, Pete charts the roles and importance of some characters in the book At about 28:35, Rus discusses the financial costs and gains of big sport universities, and argues that the sporting program is taking away from education and educators At about 33:00, Rus talks about a flawed system that puts so much work and so little compensation for adjunct instructors and showcases much hypocrisy At about 35:00, Pete points out links between Braverman and Mooney's activism and civil rights movements, and Rus connects to the push and pull that governs his own thoughts with regards to activism  At about 38:00, Rus talks about how the book's events are in many ways reminiscent of fractures on the political Left At about 40:25, Pete and Rus talk about NlL and how it relates to topics covered n the book, and whether/how NIL affected Rus' writing  At about 44:00, Rus cites Dagoberto Gilb as an example of a writer who is successful while not being preachy, and how through satire, one can be a “little more message-heavy” At about 45:50, Rus responds to Pete's questions about satire and hyperbole and highlights how his writing the book made him love his characters  At about 48:45, Pete asks Rus about doing dystopia in The Age of Trump, and Rus cites David Shields and a tantalizing book idea that is now obsolete  At about 51:10, Pete wonders about Rus' thoughts on the frenzied rise of legalized sports gambling, and Rus talks about further normalization of formerly-”sacreligious” things like beer sales at college games At about 53:20, Rus cites Billy Lynn's Long Halftime Walk as an influence on his book and talks about using a real beer company's name At about 54:45, Pete compliments Rus' use of stream of consciousness  At about 56:30, Rus shares out information on readings and book events coming up, including one with Beto O'Rourke, and contact and book buying information You can now subscribe to the podcast on Apple Podcasts, and leave me a five-star review. You can also ask for the podcast by name using Alexa, and find the pod on Stitcher, Spotify, and on Amazon Music. Follow me on IG, where I'm @chillsatwillpodcast, or on Twitter, where I'm @chillsatwillpo1. You can watch this and other episodes on YouTube-watch and subscribe to The Chills at Will Podcast Channel. Please subscribe to both my YouTube Channel and my podcast while you're checking out this episode.       I am very excited to have one or two podcast episodes per month featured on the website of Chicago Review of Books. The audio will be posted, along with a written interview culled from the audio. A big thanks to Rachel León and Michael Welch at Chicago Review.     Sign up now for The Chills at Will Podcast Patreon: it can be found at patreon.com/chillsatwillpodcastpeterriehl      Check out the page that describes the benefits of a Patreon membership, including cool swag and bonus episodes. Thanks in advance for supporting my one-man show, my DIY podcast and my extensive reading, research, editing, and promoting to keep this independent podcast pumping out high-quality content! This month's Patreon bonus episode features segments from conversations with Jeff Pearlman, Matt Bell, F. Douglas Brown, Jorge Lacera, Jean Guererro, Rachel Yoder, and more, as they reflect on chill-inducing writers who have inspired their own work. I have added a $1 a month tier for “Well-Wishers” and Cheerleaders of the Show.    This is a passion project of mine, a DIY operation, and I'd love for your help in promoting what I'm convinced is a unique and spirited look at an often-ignored art form.    The intro song for The Chills at Will Podcast is “Wind Down” (Instrumental Version), and the other song played on this episode was “Hoops” (Instrumental)” by Matt Weidauer, and both songs are used through ArchesAudio.com.     Please tune in for Episode 263 with Fernanda Trías, award-winning author of three novels and the short story collection No soñarás flores; awarded the National Uruguayan Literary Prize, The Critics' Choice Award Bartolomé Hidalgo, and Sor Juana Inés de la Cruz International Prize in Mexico for Pink Slime/Mugre Rosa. The episode goes live on November 26. Lastly, please go to ceasefiretoday.com, which features 10+ actions to help bring about Ceasefire in Gaza.  

Sermon in a sentence: 'Freedom flows when we feel we are passionately loved despite what we see in the mirror."Action Steps:1. Sing. 2. Pray the Psalms. More verse references:Job 38:4–7Psalm 33:1Psalm 98:4Colossians 3:16

Sermon in a sentence: 'Freedom flows when we feel we are passionately loved despite what we see in the mirror."Action Steps:1. Sing. 2. Pray the Psalms. More verse references:Job 38:4–7Psalm 33:1Psalm 98:4Colossians 3:16

Dr. Mahdieh Parizi is a pioneer in women's healthcare at the VA, and she speaks with Dorothy about the introduction of patient self-scheduling for mammograms and the multifactorial approach to improving patient return rates. Parizi mentions hosting educational events for clinicians and patients to highlight the importance of regular screenings. Additionally, Parizi shares insights on balancing professional and personal responsibilities, advocating for regular mammograms despite mixed recommendations, and overcoming insurance hurdles. With 25,000 registered women veterans and expanded breast imaging clinics, Parizi highlights ongoing efforts to increase breast cancer screenings and early detection. Key Questions Answered 1.) What is the patient self-scheduling system and how does it benefit mammogram return rates? 2.) What multifactorial approach is used to improve mammogram return rates? 3. How has the COVID-19 pandemic affected late-stage cancer diagnoses? 4.) What are Community-Based Outpatient Clinics (CBOCs) and how do they improve access? 5.) What challenges does the VA healthcare system face in improving breast imaging programs? 6.) What should women advocate for regarding annual mammography starting at age 40? 7.) What role does patient navigation play in improving mammogram follow-ups? Timestamped Overview 00:00 Dr. Parizi innovates VA mammography care for veterans. 04:31 Working at The Rose: Compassionate nonprofit healthcare experience. 07:39 Passionately pioneered women veterans' healthcare program. 12:04 Clinic adapts processes for efficient, comprehensive care. 16:01 Expanding breast imaging for women veterans' outreach. 19:35 Creative strategies increased patient attendance post-decrease. 21:01 Patients self-schedule mammograms; education events aid. 25:53 Balancing motherhood and professional responsibilities' challenges. 28:17 Annual mammography from age 40 saves lives.See omnystudio.com/listener for privacy information.

Welcome back to the Kitchen!! Submit an anonymous story for our next episode, do so here: https://shorturl.at/ayNZ9 Follow us on instagram: https://www.instagram.com/runawayvows/ Follow our Education: https://www.instagram.com/runawayvowseducation/ Join our Facebook Community: https://www.facebook.com/groups/runawayweddings/ Get our Thru the Lens Course: https://www.thruthelens.io/ Our LUT Pack: https://gamut.io/product/prestige/?gamut=runawayvows (https://gamut.io/product/prestige/?gamut=runawayvows) Use code RUNAWAY for 15% off Our Course library: https://go.runawayvows.com/ Follow Jake: https://www.instagram.com/jakeweislerfilms/ Follow Nate: https://www.instagram.com/nateahanfilm/

The former ICE Director provides a searing evaluation on open border atrocities, factions supporting them, the shell game hiding illegal border entry numbers, our nation's ultimate disastrous fate if this continues. Trump returning as president is the only solution. Information for Tom Homan Websites: homelandstrategic.com; border911.com. Upcoming Podcasts: Dinesh D'Souza; Bianca de la Garza; A.F. […] The post Tom Homan Passionately Proclaims We Must Secure Our Borders And Reelect President Donald Trump appeared first on Radio Influence.

The former ICE Director provides a searing evaluation on open border atrocities, factions supporting them, the shell game hiding illegal border entry numbers, our nation's ultimate disastrous fate if this continues. Trump returning as president is the only solution. Information for Tom Homan Websites: homelandstrategic.com; border911.com. Upcoming Podcasts: Dinesh D'Souza; Bianca de la Garza; A.F. […] The post Tom Homan Passionately Proclaims We Must Secure Our Borders And Reelect President Donald Trump appeared first on Radio Influence.

Agustin Pena, a Deputy District Attorney and the President of the San Diego La Raza Lawyers Association (SDLRLA), shouts out the Association's mission to advocate for Latino representation in law.  Pena discusses his journey to the law profession; SDLRLA's Project L.E.A.D. and Trial Advocacy programs; and the 2024 SDLRLA Holiday Gala in December.

My guest in this episode is Don Wenner. Don Wenner is the Founder & CEO of DLP Capital, a private real estate investment and financial services company focused on making an IMPACT by acquiring, developing, and building relationships, housing, leaders, and organizations. DLP Capital has many business divisions and companies, including lending, investment funds, sales, leasing, property management, construction management, development, and loan servicing. DLP's purpose is Dream. Live. Prosper. Passionately creating prosperity and making an impact by investing in communities. Don is highly experienced in all facets of housing and in scaling high-growth entrepreneurial companies through the utilization of the DLP Elite Execution System, for which DLP has been ranked in the Inc. 5000 fastest-growing companies in the U.S. for a remarkable ten consecutive years. Since DLP's founding in 2006, Don has closed more than 27,000 real estate transactions totaling more than $9 billion. He has built a successful track record of generating consistent profits in all market conditions and cycles. With over $4.5 billion in assets under management, DLP's portfolio includes more than 14,000 apartments and homes located primarily throughout the south and northeast areas of the country, as well as a portfolio of more than 500 real estate loans, originating to active real estate investors. Interview Links: DLP Capital https://dlpcapital.com/ Subscribe To Our Weekly Newsletter: The Wealth Dojo: https://subscribe.wealthdojo.ai/ Download all the Niches Trilogy Books: The 21 Best Cashflow Niches Digital: ⁠⁠https://www.cashflowninjaprograms.com/the-21-best-cashflow-niches-book⁠⁠ Audio: ⁠https://podcasters.spotify.com/pod/show/21-best-cashflow-niches⁠ The 21 Most Unique Cashflow Niches Digital: ⁠⁠https://www.cashflowninjaprograms.com/the-21-most-unique-cashflow-niches⁠⁠ Audio: ⁠https://podcasters.spotify.com/pod/show/21-most-unique-niches⁠ The 21 Best Cash Growth Niches Digital: ⁠https://www.cashflowninjaprograms.com/the-21-best-cash-growth-niches⁠⁠ Audio: ⁠https://podcasters.spotify.com/pod/show/21-cash-growth-niches The 21 Next Level Cashflow Niches Digital: https://www.cashflowninjaprograms.com/the-21-next-level-cashflow-niches-book-free-download Audio: https://podcasters.spotify.com/pod/show/the-21-next-level-niches Listen To Cashflow Ninja Podcasts: Cashflow Ninja ⁠https://podcasters.spotify.com/pod/show/cashflowninja⁠ Cashflow Investing Secrets ⁠https://podcasters.spotify.com/pod/show/cashflowinvestingsecrets⁠ Cashflow Ninja Banking ⁠https://podcasters.spotify.com/pod/show/cashflow-ninja-banking⁠ Connect With Us: Website: http://cashflowninja.com Podcast: http://resetinvestingsecrets.com Podcast: http://cashflowinvestingsecrets.com Podcast: http://cashflowninjabanking.com Substack: https://mclaubscher.substack.com/ Amazon Audible: https://a.co/d/1xfM1Vx Amazon Audible: https://a.co/d/aGzudX0 Facebook: https://www.facebook.com/cashflowninja/ Twitter: https://twitter.com/mclaubscher Instagram: https://www.instagram.com/thecashflowninja/ TikTok: https://www.tiktok.com/@cashflowninja Linkedin: https://www.linkedin.com/in/mclaubscher/ Gab: https://gab.com/cashflowninja Youtube: http://www.youtube.com/c/Cashflowninja Rumble: https://rumble.com/c/c-329875

In today's episode, the Faith to Go team is joined by our bishop diocesan, The Rt. Rev. Dr. Susan Brown Snook, to talk about this story of Lazarus.  The team moves through the reality of human emotions during grief.Click here to learn more about Bishop Susan's work with our migration ministries.Passionately in Love with God by Henri NouwenAll the great saints in history about whom I have read have been people who were so passionately in love with God that they were completely free to love other people in a deep, affective way, without any strings attached. True charity is gratuitous love, a love that gives gratuitously and receives gratuitously. It is following the first commandment that asks us to give everything we have to God and that makes the second commandment truly possible...Today's Resources:https://brenebrown.com/book/atlas-of-the-heart/https://henrinouwen.org/Faith to Go is a ministry of The Episcopal Diocese of San Diego. Click here to learn more about EDSD's great work in our region and how you can support this ministry.Remember to get in contact with us!Email: faithtogo@edsd.orgInstagram: @faithtogo

In this message by Brian Butler from our Lakeland campus titled "Passively or Passionately", Brian shares 3 ways to passionately advance the Kingdom of God.

Our memories serve as time stamps of life's joyful moments and challenging triumphs. Today's guest Dorian Jackson shares how a memory from the age of four made her a proponent for change, personal integrity, and living on purpose.  In today's episode, Dorian shares how the Lord's whisper prepared her for her second career in the political realm. The memory of a prophetic word at the age of 17 shifted her awareness and motivated her to be a voice for the people with a strong message of equal opportunities and community awareness.  I hope your takeaway from Dorian's episode provokes you to be intentional in your life's purpose and choices as you too may one day be led to be a voice for the voiceless.Want to connect?www.jackson4weho.poliengine.comIG: dorian4weho

Join us for a very insightful and powerful interview featuring Ms. Nita L. Chase!!! Despite her many trials in the area of her health, including having a speech impediment for several years, GOD allowed Ms. Nita L. Chase to release, Passion Speaks. This Amazon Best Seller was more than another masterpiece for your bookshelves, it was a way of encouraging those who feel as if their voices didn't matter, to not only speak up, but to also, speak Passionately! Tune in this Friday on the JESUSgirl.ENT Podcast for the full interview! You do not want to miss this! #JESUS #jesus #jesusgirl #jesusgirlent #fyp #fypシ #foru #foryou #forupage #foryoupage #viral #viralvideos #author #promotions #passionspeaks

The vision of “man fully alive” involves a man motivated by faith, hope, and love. And the greatest of these, St. Paul tells us, is love. Our guest today, Mr. Tom Steenson, is a long-time teacher of the Heights fifth grade and also the upper school class History of Western Thought. He brings his experience and broad readings to bear on the question: How can we impart lessons of authentic love to rambunctious twenty-first century boys in a way they'll actually internalize? Tom's practical ideas span younger and older students, framing the endeavor as forming the boys for love by love. Chapters: 2:47 Teaching love to younger students 6:11 Teaching love to upper school students 11:26 Turning self-focus into self-knowledge 16:20 Images of love in the curriculum 19:36 Love and masculinity 23:47 Love in imitation of God 26:06 Passionately loving the world 31:00 Faith, hope, love: the greatest is love 34:46 Affirmation of their goodness Links: Augustine's Confessions translated by F. J. Sheed Phaedo by Plato Featured Opportunities: The Art of Teaching Conference at The Heights School (November 13-15, 2024) Also on the Forum: The Man Fully Alive: On Our Vision featuring Alvaro de Vicente

Don Wenner is the Founder & CEO of DLP Capital, a private real estate investment and financial services company focused on making an IMPACT by acquiring, developing, and building relationships, housing, leaders, and organizations. DLP Capital has an expansive array of business divisions and companies including lending, investment funds, sales, leasing, property management, construction management, development, and loan servicing. DLP's purpose is Dream. Live. Prosper. Passionately creating prosperity and making an impact by investing in communities. Highlights: 16 years leading DLP Capital - An investment management company with $4 Billion in AUM Inc. 5000 fastest growing companies - 10 straight years Closed more than 27,000 real estate transactions totaling over $9 Billion Acquired more than 25,000 homes & apartments for over $4.5 Billion Funded more than $4.5 Billion in loans Bestselling author of Building an Elite Organization HIGHLIGHTS IN THIS SHOW:  00:00 - Intro  01:23 - Don's Background  05:21 - Impact Equity Ad  06:55 - Mindset  10:28 - Core Values  18:56 - DLP Capital  22:37 - Attainable Housing  30:02 - Offerings  32:44 - Mindset  37:49 - Final Thoughts  CONNECT WITH OUR GUEST: https://dlpcapital.com/ CONNECT WITH OUR HOST:  Connect with our host, Randy Smith, for more educational content or to discuss investment opportunities in the real estate syndication space at www.impactequity.net, https://www.linkedin.com/in/randallsmith or on Instagram at @randysmithinvestor ----------------------------------  Follow us on social media @the.gentle.art.of.crushing.it Listen, like, subscribe, comment: http://thegentleartofcrushingit.com/

The Church We Choose To Be. Part 2 – Passionately In Love With God (Revelation 2:1-7) In this series, we delve into the profound messages of the seven churches in the Book of Revelation and reflect deeply on the encouragements and warnings given to these early congregations and consider how they apply to us today.

She highlights powerful tools and techniques designed to manage and transcend negative thoughts and feelings. By emphasizing that mental well-being doesn't have to limit personal growth, Garten inspires audiences to harness inner strengths for a more fulfilling life journey. Watch the full episode here

In this episode of The Cordial Catholic, I'm joined by Cameron Riecker, a Catholic apologist, speaker, and YouTuber to share his thoughts on a variety of topics including discernment, evangelizing our Protestant brothers and sisters, common Evangelical misunderstandings of Catholicism, Mary's role in the Church, and much more. It's a great conversation and Cameron is a phenomenal apologist and a wonderful guy!For more from Cameron check out his YouTube channel and make sure to subscribe while you're there!Send your feedback to cordialcatholic@gmail.com. Sign up for our newsletter for my reflections on  episodes, behind-the-scenes content, and exclusive contests.To watch this and other episodes please visit (and subscribe to!) our YouTube channel.Please consider financially supporting this show! For more information visit the Patreon page.  All patrons receive access to exclusive content and if you can give $5/mo or more you'll also be entered into monthly draws for fantastic books hand-picked by me.If you'd like to give a one-time donation to The Cordial Catholic, you can visit the PayPal page.Thank you to those already supporting the show! This show is brought to you in a special way by our Patron Co-Producers. Thanks to Eli and Tom, Kelvin and Susan, Stephen, Victor and Susanne, Phil, Noah, Nicole, Michelle, Jordan, Jon, James, Gina, and Eyram.Support the Show.Find and follow The Cordial Catholic on social media:Instagram: @cordialcatholicTwitter: @cordialcatholicYouTube: /thecordialcatholicFacebook: The Cordial CatholicTikTok: @cordialcatholic

Gayathri Radhakrishnan, partner at Hitachi Ventures, shares profound insights from her journey and perspectives on venture capital and technology. Gayathri reflects on her early life in India and how her competitive spirit and supportive family shaped her path to challenging norms in male-dominated fields. She delves into her focus on impactful investments in AI, utilizing Hitachi Ventures' corporate strengths to strategically nurture startups. Gayathri values founder passion, problem understanding, and openness to feedback, and her advice to founders stresses preparation, boldness, and leveraging networks for lasting partnerships and growth.In this episode, you'll learn:[1:54] The making of Gayathri Radhakrishnan: Challenging norms and building a strong sense of confidence and competitiveness.[10:32] The responsibility and impact that venture capital has on shaping future generations[14:10] Impact of corporate venture capital, when done right: Hitachi Ventures' commitment to patient capital with a 10-year fund cycle further underscores their long-term support for startups.[18:21] Trends and opportunities: Entrepreneurs should explore opportunities where AI can revolutionize industrial processes, enhance safety and efficiency, and contribute to sustainable practices.[23:37] Passionately understand your problem, stay open to feedback, and ensure your solution has real-world validation and market potential.[28:20] Aim for follow-up meetings and leverage the investor's network for potential introductions. [35:15] What's the immediate threat posed by AI?The non-profit organizations that Gayathri is passionate about: SV2About Gayathri RadhakrishnanGayathri Radhakrishnan is currently Partner at Hitachi Ventures, focusing on AI investments in Manufacturing, Healthcare, and Automotive. With over 20 years in technology, she has held roles at Dell, Corning, and Micron Ventures, and served as a Partner at Earlybird Venture Capital. Gayathri holds an MS in EE from The Ohio State University, an MBA from INSEAD, and is a Kauffman Fellow. She has driven strategy at Dell's Software Group and mentored startups at TechRanch Austin and Techstars Cloud.About Hitachi VenturesHitachi Ventures is the global venture capital arm of Hitachi Group. Hitachi Ventures invests in innovative companies that address society's key technological challenges in areas like IT, industrial automation (robotics, sensor technology and IoT), cloud services (data management, cybersecurity), mobility (autonomous driving, mobility services, smart infrastructure and security services), energy, smart medicine (AIfor digital imaging, smart diagnostics, remote care), smart city, smart infrastructure and more. It's portfolio includes companies such as Samsara Eco, Trustwise AI, WEKA, StrikeReady, Archetype AI, WASE, Cure51, Proscia, Thea Energy, Captura among others.Subscribe to our podcast and stay tuned for our next episode.

At 8:30am on Monday 12th of November 1923, in the nursery of Flat 1 of West Kensington Mansions in Fulham, the bodies of Sonia Katzman aged four, and her 10 month old sister Jean were found, along side their nursemaid Dora Sadler. Dora loved Sonia, but did she love her too much?Murder Mile is researched, written and performed by Michael of Murder Mile UK True Crime Podcast with the main musical themes written and performed by Erik Stein and Jon Boux of Cult With No Name and additional music, as used under the Creative Commons License 4.0. A full listing of tracks used and a full transcript for each episode is listed here and a legal disclaimer.For links click hereTo subscribe via Patreon, click here CLICK for TICKETS to the British True Crime Convention, Saturday 7th September 2024 (Sheffield)Support this show http://supporter.acast.com/murdermile. Hosted on Acast. See acast.com/privacy for more information.

This week we talk about Joy's trip to Arizona, handling family conflicts, Miles' karate competition and an unlikely visit from a road runner. 10 YEAR ANNIVERSARY VIDEOS SUPPORT OUR AMAZON LINK PURITY WOODS DISCOUNT CODE JOY www.joyandclaire.com Girls Gone Wod email: thisisjoyandclaire@gmail.com Instagram: joyandclaire_ The post 229: Passionately Opinionated appeared first on This is Joy & Claire.