Podcasts about agent development

https://johnkitchenscoachpodcast.com/?p=676-how-to-break-into-the-top-01-of-real-estate-agents-with-levi-mcdonaldEpisode Overview In this powerful episode of The John Kitchens Coach Podcast, John Kitchens and Jay Kinder is joined by real estate leader Levi McDonald for an unfiltered, energizing, and insight-packed conversation straight from the heart of EXP's regional rally season. Alongside surprise guest Jay Kinder, this episode unpacks the real strategies and mindsets driving high-performing agents through today's rapidly evolving real estate landscape. As the team gathers during a mentor retreat in Atlanta, Levi brings raw perspective on what it takes to build resilience, develop skill, and create lasting impact in the business. Whether you're a new real estate agent, a team leader navigating shifting markets, or a veteran working to scale with AI and agent attraction, this conversation delivers both inspiration and tactical gold.   In This Episode, You'll Learn: How EXP Realty is leading the industry with AI, including department-specific custom GPTs and real-time decision-making innovation led by Glenn Sanford. Why Kendall Bonner's role in EXP Solutions is creating unprecedented tools, marketing resources, and support systems for real estate agents of all levels. The three performance phases of agent growth—Interested, Committed, and Obsessed—and how to identify where you are and where you need to go next. What it takes to move from the 20% to the top 1%—and then to the elite 0.1% of agents nationally—with practical advice on structure, mentorship, and systems. Why your environment and proximity to growth-minded people is the most important asset you can leverage in today's real estate game. The difference between just selling homes and building a business that fuels your life through purpose, discipline, leadership, and legacy. The importance of faith, fitness, finances, and freedom—and how these four pillars create sustainable energy and long-term success as an agent and entrepreneur. How the Honey Badger Nation community is reigniting recognition with the Honey Badger of the Month program to celebrate resilience and real estate grit.   Special Guest: Levi McDonald As a committed mentor, EXP leader, and powerhouse team builder in the Atlanta region, Levi McDonald shares deep insights into agent development, personal growth, and how to build culture inside your business that attracts the right people and keeps them engaged for the long haul.   Perfect For Listeners Who Are: Real estate agents in production, looking for traction Solo agents wanting to scale into a team model Broker/owners needing new energy or leadership alignment Team leaders focused on agent attraction or passive income Top producers interested in AI, tech, or EXP strategy Professionals exploring EXP Realty's competitive advantage Anyone needing a reminder of the power of proximity, vision, and grit Resources Mentioned: EXP AI Strategy and Custom GPT Tools EXP Solutions by Kendall Bonner The Honey Badger Nation community and Facebook group EXP Mentor Program and Mentor Retreats “The Gap and the Gain” by Dan Sullivan Honey Badger of the Month nomination: https://www.honeybadgernation.com New Swag Alert! Check out all-new Legacy Honey Badger swag now available at honeybadgernation.com. Represent the brand of elite resilience with fresh gear and exclusive drops.   “If it's bad, it's not the end. You're just in the dip. Keep going.” — Levi McDonald   Connect with Us: Instagram: @johnkitchenscoach LinkedIn: @johnkitchenscoach Facebook: @johnkitchenscoach   If you enjoyed this episode, be sure to subscribe and leave a review. Stay tuned for more insights and strategies from the top minds. See you next time!

Join Simtheory: https://simtheory.ai--Get the official Simtheory hat: https://simulationtheory.ai/689e11b3-d488-4238-b9b6-82aded04fbe6---CHAPTERS:00:00 - The Wrong Pendant?02:34 - Agent2Agent Protocol, What is It? Implications and Future Agents48:43 - Agent Development Kit (ADK)57:50 - AI Agents Marketplace by Google Cloud1:00:46 - Firebase Studio is very broken...1:06:30 - Vibing with AI for everything.. not just vibe code1:15:10 - Gemini 2.5 Flash, Live API and Veo21:17:45 - Is Llama 4 a flop?1:27:25 - Grok 3 API Released without vision priced like Sonnet 3.7---Thanks for listening and your support!

Today, Todd sits down with Tony Acosta—real estate pro, entrepreneur, and team leader—to dig into what it really takes to lead a successful sales team. From training and building a high-performing group to becoming the kind of leader people want to follow, Tony shares what works, what doesn't, and why taking action is everything. Because let's face it—anyone can read a book or take a course, but if you never execute, you're just spinning your wheels. If you want real results, it's time to step up. Pillars of Wealth Creation 1. Ability to choose 2. Finances 3. The health, physical, and emotional state of the people living in your house Recommended Book 1. Shoe Dog By Phil Knight 2. Crucial Conversations By Kerry Patterson, Joseph Grenny, and Ron McMillan 3. Unreasonable Hospitality By Will Guidara 4. How to Win Friends and Influence People By Dale Carnegie Tony Acosta is a real estate broker with 13+ years of experience and Director of Agent Development at The Perry Group, a top team at Real Broker. He coaches agents on scaling their businesses and created ELEVATE, a six-week training program focused on lead generation and business systems. A Forbes Real Estate Council member, TEDx speaker, and host of the How to Be a Realtor Podcast, Tony is passionate about leadership, education, and empowering real estate professionals. You can connect with Tony through social media: https://www.instagram.com/tonyacosta.co/ and https://www.linkedin.com/in/tonyeacosta/ Welcome to Pillars of Wealth Creation, where we talk about building financial freedom with a special focus on business and Real Estate. Follow along as Todd Dexheimer interviews top entrepreneurs, investors, advisers, and coaches. YouTube: www.youtube.com/c/PillarsOfWealthCreation Interested in coaching? Schedule a call with Todd at www.coachwithdex.com Listen to the audio version on your favorite podcast host: SoundCloud: https://soundcloud.com/user-650270376 Apple Podcasts: https://podcasts.apple.com/.../pillars-of.../id1296372835... Google Podcasts: https://podcasts.google.com/.../aHR0cHM6Ly9mZWVkcy5zb3VuZ... iHeart Radio: https://www.iheart.com/.../pillars-of-wealth-creation.../ CastBox: https://castbox.fm/.../Pillars-Of-Wealth-Creation... Spotify: https://open.spotify.com/show/0FmGSJe9fzSOhQiFROc2O0 Pandora: https://pandora.app.link/YUP21NxF3kb Amazon/Audible: https://music.amazon.com/.../f6cf3e11-3ffa-450b-ac8c...

Two weeks ago, OpenAI released its set of tools to help developers build agentic systems. Today on Unsupervised Learning, Nikunj Handa (Product Lead) and Steve Coffey (Eng Lead) answer some of the biggest questions around how developers should be thinking about building in the agentic paradigm in 2025. [0:00] Intro[0:53] OpenAI's Vision for Consumer Interaction[4:51] Building Multi-Agent Systems for Business Solutions[6:53] Challenges and Innovations in AI Fine-Tuning[13:20] Exploring Computer Use Cases and Applications[17:20] Advanced Use Cases and Developer Insights[25:29] Challenges with Context Storage and Chat Completions[26:09] Introducing the Responses API and MCP[27:16] AI Infrastructure Companies and Their Role[29:35] Building the Tools Ecosystem[30:17] Exploring Computer Use Models[31:47] The Future of AI and Developer Tools[38:36] Quickfire With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq'd by VMWare) @jordan_segall - Partner at Redpoint

This week's episode, we're joined by John Thompson, Global AI Leader at EY.   In this episode, John explains how AI, especially agents, will shape the future of businesses and internal audit teams. He identifies 2025 and 2026 as pivotal years for agent technology and the tools that will emerge from it.   Be sure to connect with John on LinkedIn.   Also, be sure to follow us on our new social media accounts on LinkedIn, Instagram, and TikTok.   Also be sure to sign up for The Audit Podcast newsletter and to check the full video interview on The Audit Podcast YouTube channel.   Timecodes: 4:53 - Adopting a Safety Mindset for AI 8:38 - What's New in AI: Agents 11:42 - Real-World Examples of Agent Implementation 15:35 - Internal Audit and Resources for Agent Development 17:53 - New Terminologies Related to AI Agents 21:24 - The Path to AGI 22:36 - AGI and Robotics 24:54 - Will AI Help or Harm Society? 27:11 - Final Thoughts   *   This podcast is brought to you by Greenskies Analytics, the services firm that helps auditors leap-frog up the analytics maturity model. Their approach for launching audit analytics programs with a series of proven quick-win analytics will guarantee the results worthy of the analytics hype.  Whether your audit team needs a data strategy, methodology, governance, literacy, or anything else related to audit and analytics, schedule time with Greenskies Analytics.

On this episode of Agency Nation Radio, Jennifer Becker, Big “I” Senior Director of Agent Development and Research and Education, is joined by Andy Siegel of Siegel Insurance and chair of the Big “I” council for Best Practices and Katy Stewart of Olis/Akers/Arney Insurance & Business Advisors and a member of the council for Best Practices to discuss about benefits and data that can be gleaned from the study. The Big “I” Best Practices study is the annual report done in partnership with Reagan Consulting and analyzes the performance of the nation's leading agencies to uncover methods, strategies and procedures. Throughout the episode, the three chat about how these agencies may be using the data to help set goals and make decisions as we enter 2025. Towards the end of the episode, Siegel offers a tip for agencies who are considering or were nominated to become a Best Practices agenct. “The value of the data you get out is priceless. You spend a few hours of time putting all this together, but if you can position your agency to be more efficient, more profitable, it has more value. You might attract more producers, you might attract more carriers when you're running a good financial ship. Everything seems to rise with it. So, the rising tide lifts all boats. If you have a financially sound agency, it attracts better markets, better producers, better employees service team. So go for it.” Agency Nation Radio is where insurance professionals turn on the mic and share unscripted stories about leadership, technology, marketing, success, and failure—stories that helped make them the professionals they are today. From Main Street USA to the pages of Independent Agent magazine—we've got the stories you want to hear. For more, catch Agency Nation Radio on your favorite streaming platform or visit iamagazine.com/podcasts. ------------------------------ Andy Siegel https://www.linkedin.com/in/andynsiegel Katy Stewart https://www.linkedin.com/in/katy-stewart-0111b8188/

Happy holidays! We'll be sharing snippets from Latent Space LIVE! through the break bringing you the best of 2024! We want to express our deepest appreciation to event sponsors AWS, Daylight Computer, Thoth.ai, StrongCompute, Notable Capital, and most of all all our LS supporters who helped fund the gorgeous venue and A/V production!For NeurIPS last year we did our standard conference podcast coverage interviewing selected papers (that we have now also done for ICLR and ICML), however we felt that we could be doing more to help AI Engineers 1) get more industry-relevant content, and 2) recap 2024 year in review from experts. As a result, we organized the first Latent Space LIVE!, our first in person miniconference, at NeurIPS 2024 in Vancouver.Our next keynote covers The State of LLM Agents, with the triumphant return of Professor Graham Neubig's return to the pod (his ICLR episode here!). OpenDevin is now a startup known as AllHands! The renamed OpenHands has done extremely well this year, as they end the year sitting comfortably at number 1 on the hardest SWE-Bench Full leaderboard at 29%, though on the smaller SWE-Bench Verified, they are at 53%, behind Amazon Q, devlo, and OpenAI's self reported o3 results at 71.7%.Many are saying that 2025 is going to be the year of agents, with OpenAI, DeepMind and Anthropic setting their sights on consumer and coding agents, vision based computer-using agents and multi agent systems. There has been so much progress on the practical reliability and applications of agents in all domains, from the huge launch of Cognition AI's Devin this year, to the sleeper hit of Cursor Composer and Codeium's Windsurf Cascade in the IDE arena, to the explosive revenue growth of Stackblitz's Bolt, Lovable, and Vercel's v0, and the unicorn rounds and high profile movements of customer support agents like Sierra (now worth $4 billion) and search agents like Perplexity (now worth $9 billion). We wanted to take a little step back to understand the most notable papers of the year in Agents, and Graham indulged with his list of 8 perennial problems in building agents in 2024.Must-Read Papers for the 8 Problems of Agents* The agent-computer interface: CodeAct: Executable Code Actions Elicit Better LLM Agents. Minimial viable tools: Execution Sandbox, File Editor, Web Browsing* The human-agent interface: Chat UI, GitHub Plugin, Remote runtime, …?* Choosing an LLM: See Evaluation of LLMs as Coding Agents on SWE-Bench at 30x - must understand instructions, tools, code, environment, error recovery* Planning: Single Agent Systems vs Multi Agent (CoAct: A Global-Local Hierarchy for Autonomous Agent Collaboration) - Explicit vs Implicit, Curated vs Generated* Reusable common workflows: SteP: Stacked LLM Policies for Web Actions and Agent Workflow Memory - Manual prompting vs Learning from Experience* Exploration: Agentless: Demystifying LLM-based Software Engineering Agents and BAGEL: Bootstrapping Agents by Guiding Exploration with Language* Search: Tree Search for Language Model Agents - explore paths and rewind* Evaluation: Fast Sanity Checks (miniWoB and Aider) and Highly Realistic (WebArena, SWE-Bench) and SWE-Gym: An Open Environment for Training Software Engineering Agents & VerifiersFull Talk on YouTubePlease like and subscribe!Timestamps* 00:00 Welcome to Latent Space Live at NeurIPS 2024* 00:29 State of LLM Agents in 2024* 02:20 Professor Graham Newbig's Insights on Agents* 03:57 Live Demo: Coding Agents in Action* 08:20 Designing Effective Agents* 14:13 Choosing the Right Language Model for Agents* 16:24 Planning and Workflow for Agents* 22:21 Evaluation and Future Predictions for Agents* 25:31 Future of Agent Development* 25:56 Human-Agent Interaction Challenges* 26:48 Expanding Agent Use Beyond Programming* 27:25 Redesigning Systems for Agent Efficiency* 28:03 Accelerating Progress with Agent Technology* 28:28 Call to Action for Open Source Contributions* 30:36 Q&A: Agent Performance and Benchmarks* 33:23 Q&A: Web Agents and Interaction Methods* 37:16 Q&A: Agent Architectures and Improvements* 43:09 Q&A: Self-Improving Agents and Authentication* 47:31 Live Demonstration and Closing RemarksTranscript[00:00:29] State of LLM Agents in 2024[00:00:29] Speaker 9: Our next keynote covers the state of LLM agents. With the triumphant return of Professor Graham Newbig of CMU and OpenDevon, now a startup known as AllHands. The renamed OpenHands has done extremely well this year, as they end the year sitting comfortably at number one on the hardest SWE Benchful leaderboard at 29%.[00:00:53] Speaker 9: Though, on the smaller SWE bench verified, they are at 53 percent behind Amazon Q [00:01:00] Devlo and OpenAI's self reported O3 results at 71. 7%. Many are saying that 2025 is going to be the year of agents, with OpenAI, DeepMind, and Anthropic setting their sights on consumer and coding agents. Vision based computer using agents and multi agent systems.[00:01:22] Speaker 9: There has been so much progress on the practical reliability and applications of agents in all domains, from the huge launch of Cognition AI's Devon this year, to the sleeper hit of Cursor Composer and recent guest Codium's Windsurf Cascade in the IDE arena. To the explosive revenue growth of recent guests StackBlitz's Bolt, Lovable, and Vercel's vZero.[00:01:44] Speaker 9: And the unicorn rounds and high profile movements of customer support agents like Sierra, now worth 4 billion, and search agents like Perplexity, now worth 9 billion. We wanted to take a little step back to understand the most notable papers of the year in [00:02:00] agents, and Graham indulged with his list of eight perennial problems in building agents.[00:02:06] Speaker 9: As always, don't forget to check our show notes for all the selected best papers of 2024, and for the YouTube link to their talk. Graham's slides were especially popular online, and we are honoured to have him. Watch out and take care![00:02:20] Professor Graham Newbig's Insights on Agents[00:02:20] Speaker: Okay hi everyone. So I was given the task of talking about agents in 2024, and this is An impossible task because there are so many agents, so many agents in 2024. So this is going to be strongly covered by like my personal experience and what I think is interesting and important, but I think it's an important topic.[00:02:41] Speaker: So let's go ahead. So the first thing I'd like to think about is let's say I gave you you know, a highly competent human, some tools. Let's say I gave you a web browser and a terminal or a file system. And the ability to [00:03:00] edit text or code. What could you do with that? Everything. Yeah.[00:03:07] Speaker: Probably a lot of things. This is like 99 percent of my, you know, daily daily life, I guess. When I'm, when I'm working. So, I think this is a pretty powerful tool set, and I am trying to do, and what I think some other people are trying to do, is come up with agents that are able to, you know, manipulate these things.[00:03:26] Speaker: Web browsing, coding, running code in successful ways. So there was a little bit about my profile. I'm a professor at CMU, chief scientist at All Hands AI, building open source coding agents. I'm maintainer of OpenHands, which is an open source coding agent framework. And I'm also a software developer and I, I like doing lots of coding and, and, you know, shipping new features and stuff like this.[00:03:51] Speaker: So building agents that help me to do this, you know, is kind of an interesting thing, very close to me.[00:03:57] Live Demo: Coding Agents in Action[00:03:57] Speaker: So the first thing I'd like to do is I'd like to try [00:04:00] some things that I haven't actually tried before. If anybody has, you know, tried to give a live demo, you know, this is, you know very, very scary whenever you do it and it might not work.[00:04:09] Speaker: So it might not work this time either. But I want to show you like three things that I typically do with coding agents in my everyday work. I use coding agents maybe five to 10 times a day to help me solve my own problems. And so this is a first one. This is a data science task. Which says I want to create scatter plots that show the increase of the SWE bench score over time.[00:04:34] Speaker: And so I, I wrote a kind of concrete prompt about this. Agents work better with like somewhat concrete prompts. And I'm gonna throw this into open hands and let it work. And I'll, I'll go back to that in a second. Another thing that I do is I create new software. And I, I've been using a [00:05:00] service a particular service.[00:05:01] Speaker: I won't name it for sending emails and I'm not very happy with it. So I want to switch over to this new service called resend. com, which makes it easier to send emails. And so I'm going to ask it to read the docs for the resend. com API and come up with a script that allows me to send emails. The input to the script should be a CSV file and the subject and body should be provided in Jinja2 templates.[00:05:24] Speaker: So I'll start another agent and and try to get it to do that for me.[00:05:35] Speaker: And let's go with the last one. The last one I do is. This is improving existing software and in order, you know, once you write software, you usually don't throw it away. You go in and, like, actually improve it iteratively. This software that I have is something I created without writing any code.[00:05:52] Speaker: It's basically software to monitor how much our our agents are contributing to the OpenHance repository. [00:06:00] And on the, let me make that a little bit bigger, on the left side, I have the number of issues where it like sent a pull request. I have the number of issues where it like sent a pull request, whether it was merged in purple, closed in red, or is still open in green. And so these are like, you know, it's helping us monitor, but one thing it doesn't tell me is the total number. And I kind of want that feature added to this software.[00:06:33] Speaker: So I'm going to try to add that too. So. I'll take this, I'll take this prompt,[00:06:46] Speaker: and here I want to open up specifically that GitHub repo. So I'll open up that repo and paste in the prompt asking it. I asked it to make a pie chart for each of these and give me the total over the entire time period that I'm [00:07:00] monitoring. So we'll do that. And so now I have let's see, I have some agents.[00:07:05] Speaker: Oh, this one already finished. Let's see. So this one already finished. You can see it finished analyzing the Swebench repository. It wrote a demonstration of, yeah, I'm trying to do that now, actually.[00:07:30] Speaker: It wrote a demonstration of how much each of the systems have improved over time. And I asked it to label the top three for each of the data sets. And so it labeled OpenHands as being the best one for SWE Bench Normal. For SWE Bench Verified, it has like the Amazon QAgent and OpenHands. For the SWE Bench Lite, it has three here over three over here.[00:07:53] Speaker: So you can see like. That's pretty useful, right? If you're a researcher, you do data analysis all the time. I did it while I was talking to all [00:08:00] of you and making a presentation. So that's, that's pretty nice. I, I doubt the other two are finished yet. That would be impressive if the, yeah. So I think they're still working.[00:08:09] Speaker: So maybe we'll get back to them at the end of the presentation. But so these are the kinds of the, these are the kinds of things that I do every day with coding agents now. And it's or software development agents. It's pretty impressive.[00:08:20] Designing Effective Agents[00:08:20] Speaker: The next thing I'd like to talk about a little bit is things I worry about when designing agents.[00:08:24] Speaker: So we're designing agents to, you know, do a very difficult task of like navigating websites writing code, other things like this. And within 2024, there's been like a huge improvement in the methodology that we use to do this. But there's a bunch of things we think about. There's a bunch of interesting papers, and I'd like to introduce a few of them.[00:08:46] Speaker: So the first thing I worry about is the agent computer interface. Like, how do we get an agent to interact with computers? And, How do we provide agents with the tools to do the job? And [00:09:00] within OpenHands we are doing the thing on the right, but there's also a lot of agents that do the thing on the left.[00:09:05] Speaker: So the thing on the left is you give like agents kind of granular tools. You give them tools like or let's say your instruction is I want to determine the most cost effective country to purchase the smartphone model, Kodak one the countries to consider are the USA, Japan, Germany, and India. And you have a bunch of available APIs.[00:09:26] Speaker: And. So what you do for some agents is you provide them all of these tools APIs as tools that they can call. And so in this particular case in order to solve this problem, you'd have to make about like 30 tool calls, right? You'd have to call lookup rates for Germany, you'd have to look it up for the US, Japan, and India.[00:09:44] Speaker: That's four tool goals. And then you go through and do all of these things separately. And the method that we adopt in OpenHands instead is we provide these tools, but we provide them by just giving a coding agent, the ability to call [00:10:00] arbitrary Python code. And. In the arbitrary Python code, it can call these tools.[00:10:05] Speaker: We expose these tools as APIs that the model can call. And what that allows us to do is instead of writing 20 tool calls, making 20 LLM calls, you write a program that runs all of these all at once, and it gets the result. And of course it can execute that program. It can, you know, make a mistake. It can get errors back and fix things.[00:10:23] Speaker: But that makes our job a lot easier. And this has been really like instrumental to our success, I think. Another part of this is what tools does the agent need? And I, I think this depends on your use case, we're kind of extreme and we're only giving the agent five tools or maybe six tools.[00:10:40] Speaker: And what, what are they? The first one is program execution. So it can execute bash programs, and it can execute Jupyter notebooks. It can execute cells in Jupyter notebooks. So that, those are two tools. Another one is a file editing tool. And the file editing tool allows you to browse parts of files.[00:11:00][00:11:00] Speaker: And kind of read them, overwrite them, other stuff like this. And then we have another global search and replace tool. So it's actually two tools for file editing. And then a final one is web browsing, web browsing. I'm kind of cheating when I call it only one tool. You actually have like scroll and text input and click and other stuff like that.[00:11:18] Speaker: But these are basically the only things we allow the agent to do. What, then the question is, like, what if we wanted to allow it to do something else? And the answer is, well, you know, human programmers already have a bunch of things that they use. They have the requests PyPy library, they have the PDF to text PyPy library, they have, like, all these other libraries in the Python ecosystem that they could use.[00:11:41] Speaker: And so if we provide a coding agent with all these libraries, it can do things like data visualization and other stuff that I just showed you. So it can also get clone repositories and, and other things like this. The agents are super good at using the GitHub API also. So they can do, you know, things on GitHub, like finding all of the, you know, [00:12:00] comments on your issues or checking GitHub actions and stuff.[00:12:02] Speaker: The second thing I think about is the human agent interface. So this is like how do we get humans to interact with agents? Bye. I already showed you one variety of our human agent interface. It's basically a chat window where you can browse through the agent's results and things like this. This is very, very difficult.[00:12:18] Speaker: I, I don't think anybody has a good answer to this, and I don't think we have a good answer to this, but the, the guiding principles that I'm trying to follow are we want to present enough info to the user. So we want to present them with, you know, what the agent is doing in the form of a kind of.[00:12:36] Speaker: English descriptions. So you can see here you can see here every time it takes an action, it says like, I will help you create a script for sending emails. When it runs a bash command. Sorry, that's a little small. When it runs a bash command, it will say ran a bash command. It won't actually show you the whole bash command or the whole Jupyter notebook because it can be really large, but you can open it up and see if you [00:13:00] want to, by clicking on this.[00:13:01] Speaker: So like if you want to explore more, you can click over to the Jupyter notebook and see what's displayed in the Jupyter notebook. And you get like lots and lots of information. So that's one thing.[00:13:16] Speaker: Another thing is go where the user is. So like if the user's already interacting in a particular setting then I'd like to, you know, integrate into that setting, but only to a point. So at OpenHands, we have a chat UI for interaction. We have a GitHub plugin for tagging and resolving issues. So basically what you do is you Do at open hands agent and the open hands agent will like see that comment and be able to go in and fix things.[00:13:42] Speaker: So if you say at open hands agent tests are failing on this PR, please fix the tests. It will go in and fix the test for you and stuff like this. Another thing we have is a remote runtime for launching headless jobs. So if you want to launch like a fleet of agents to solve, you know five different problems at once, you can also do [00:14:00] that through an API.[00:14:00] Speaker: So we have we have these interfaces and this probably depends on the use case. So like, depending if you're a coding agent, you want to do things one way. If you're a like insurance auditing agent, you'll want to do things other ways, obviously.[00:14:13] Choosing the Right Language Model for Agents[00:14:13] Speaker: Another thing I think about a lot is choosing a language model.[00:14:16] Speaker: And for agentic LMs we have to have a bunch of things work really well. The first thing is really, really good instruction following ability. And if you have really good instruction following ability, it opens up like a ton of possible applications for you. Tool use and coding ability. So if you provide tools, it needs to be able to use them well.[00:14:38] Speaker: Environment understanding. So it needs, like, if you're building a web agent, it needs to be able to understand web pages either through vision or through text. And error awareness and recovery ability. So, if it makes a mistake, it needs to be able to, you know, figure out why it made a mistake, come up with alternative strategies, and other things like this.[00:14:58] Speaker: [00:15:00] Under the hood, in all of the demos that I did now Cloud, we're using Cloud. Cloud has all of these abilities very good, not perfect, but very good. Most others don't have these abilities quite as much. So like GPT 4. 0 doesn't have very good error recovery ability. And so because of this, it will go into loops and do the same thing over and over and over again.[00:15:22] Speaker: Whereas Claude does not do this. Claude, if you, if you use the agents enough, you get used to their kind of like personality. And Claude says, Hmm, let me try a different approach a lot. So, you know, obviously it's been trained in some way to, you know, elicit this ability. We did an evaluation. This is old.[00:15:40] Speaker: And we need to update this basically, but we evaluated CLOD, mini LLAMA 405B, DeepSeq 2. 5 on being a good code agent within our framework. And CLOD was kind of head and shoulders above the rest. GPT 40 was kind of okay. The best open source model was LLAMA [00:16:00] 3. 1 405B. This needs to be updated because this is like a few months old by now and, you know, things are moving really, really fast.[00:16:05] Speaker: But I still am under the impression that Claude is the best. The other closed models are, you know, not quite as good. And then the open models are a little bit behind that. Grok, I, we haven't tried Grok at all, actually. So, it's a good question. If you want to try it I'd be happy to help.[00:16:24] Speaker: Cool.[00:16:24] Planning and Workflow for Agents[00:16:24] Speaker: Another thing is planning. And so there's a few considerations for planning. The first one is whether you have a curated plan or you have it generated on the fly. And so for solving GitHub issues, you can kind of have an overall plan. Like the plan is first reproduce. If there's an issue, first write tests to reproduce the issue or to demonstrate the issue.[00:16:50] Speaker: After that, run the tests and make sure they fail. Then go in and fix the tests. Run the tests again to make sure they pass and then you're done. So that's like a pretty good workflow [00:17:00] for like solving coding issues. And you could curate that ahead of time. Another option is to let the language model basically generate its own plan.[00:17:10] Speaker: And both of these are perfectly valid. Another one is explicit structure versus implicit structure. So let's say you generate a plan. If you have explicit structure, you could like write a multi agent system, and the multi agent system would have your reproducer agent, and then it would have your your bug your test writer agent, and your bug fixer agent, and lots of different agents, and you would explicitly write this all out in code, and then then use it that way.[00:17:38] Speaker: On the other hand, you could just provide a prompt that says, please do all of these things in order. So in OpenHands, we do very light planning. We have a single prompt. We don't have any multi agent systems. But we do provide, like, instructions about, like, what to do first, what to do next, and other things like this.[00:17:56] Speaker: I'm not against doing it the other way. But I laid [00:18:00] out some kind of justification for this in this blog called Don't Sleep on Single Agent Systems. And the basic idea behind this is if you have a really, really good instruction following agent it will follow the instructions as long as things are working according to your plan.[00:18:14] Speaker: But let's say you need to deviate from your plan, you still have the flexibility to do this. And if you do explicit structure through a multi agent system, it becomes a lot harder to do that. Like, you get stuck when things deviate from your plan. There's also some other examples, and I wanted to introduce a few papers.[00:18:30] Speaker: So one paper I liked recently is this paper called CoAct where you generate plans and then go in and fix them. And so the basic idea is like, if you need to deviate from your plan, you can You know, figure out that your plan was not working and go back and deviate from it.[00:18:49] Speaker: Another thing I think about a lot is specifying common workflows. So we're trying to tackle a software development and I already showed like three use cases where we do [00:19:00] software development and when we. We do software development, we do a ton of different things, but we do them over and over and over again.[00:19:08] Speaker: So just to give an example we fix GitHub actions when GitHub actions are failing. And we do that over and over and over again. That's not the number one thing that software engineers do, but it's a, you know, high up on the list. So how can we get a list of all of, like, the workflows that people are working on?[00:19:26] Speaker: And there's a few research works that people have done in this direction. One example is manual prompting. So there's this nice paper called STEP that got state of the art on the WebArena Web Navigation Benchmark where they came up with a bunch of manual workflows for solving different web navigation tasks.[00:19:43] Speaker: And we also have a paper recently called Agent Workflow Memory where the basic idea behind this is we want to create self improving agents that learn from their past successes. And the way it works is is we have a memory that has an example of lots of the previous [00:20:00] workflows that people have used. And every time the agent finishes a task and it self judges that it did a good job at that task, you take that task, you break it down into individual workflows included in that, and then you put it back in the prompt for the agent to work next time.[00:20:16] Speaker: And this we demonstrated that this leads to a 22. 5 percent increase on WebArena after 40 examples. So that's a pretty, you know, huge increase by kind of self learning and self improvement.[00:20:31] Speaker: Another thing is exploration. Oops. And one thing I think about is like, how can agents learn more about their environment before acting? And I work on coding and web agents, and there's, you know, a few good examples of this in, in both areas. Within coding, I view this as like repository understanding, understanding the code base that you're dealing with.[00:20:55] Speaker: And there's an example of this, or a couple examples of this, one example being AgentList. [00:21:00] Where they basically create a map of the repo and based on the map of the repo, they feed that into the agent so the agent can then navigate the repo and and better know where things are. And for web agents there's an example of a paper called Bagel, and basically what they do is they have the agent just do random tasks on a website, explore the website, better understand the structure of the website, and then after that they they feed that in as part of the product.[00:21:27] Speaker: Part seven is search. Right now in open hands, we just let the agent go on a linear search path. So it's just solving the problem once. We're using a good agent that can kind of like recover from errors and try alternative things when things are not working properly, but still we only have a linear search path.[00:21:45] Speaker: But there's also some nice work in 2024 that is about exploring multiple paths. So one example of this is there's a paper called Tree Search for Language Agents. And they basically expand multiple paths check whether the paths are going well, [00:22:00] and if they aren't going well, you rewind back. And on the web, this is kind of tricky, because, like, how do you rewind when you accidentally ordered something you don't want on Amazon?[00:22:09] Speaker: It's kind of, you know, not, not the easiest thing to do. For code, it's a little bit easier, because you can just revert any changes that you made. But I, I think that's an interesting topic, too.[00:22:21] Evaluation and Future Predictions for Agents[00:22:21] Speaker: And then finally evaluation. So within our development for evaluation, we want to do a number of things. The first one is fast sanity checks.[00:22:30] Speaker: And in order to do this, we want things we can run really fast, really really cheaply. So for web, we have something called mini world of bits, which is basically these trivial kind of web navigation things. We have something called the Adder Code Editing Benchmark, where it's just about editing individual files that we use.[00:22:48] Speaker: But we also want highly realistic evaluation. So for the web, we have something called WebArena that we created at CMU. This is web navigation on real real open source websites. So it's open source [00:23:00] websites that are actually used to serve shops or like bulletin boards or other things like this.[00:23:07] Speaker: And for code, we use Swebench, which I think a lot of people may have heard of. It's basically a coding benchmark that comes from real world pull requests on GitHub. So if you can solve those, you can also probably solve other real world pull requests. I would say we still don't have benchmarks for the fur full versatility of agents.[00:23:25] Speaker: So, for example We don't have benchmarks that test whether agents can code and do web navigation. But we're working on that and hoping to release something in the next week or two. So if that sounds interesting to you, come talk to me and I, I will tell you more about it.[00:23:42] Speaker: Cool. So I don't like making predictions, but I was told that I should be somewhat controversial, I guess, so I will, I will try to do it try to do it anyway, although maybe none of these will be very controversial. Um, the first thing is agent oriented LLMs like large language models for [00:24:00] agents.[00:24:00] Speaker: My, my prediction is every large LM trainer will be focusing on training models as agents. So every large language model will be a better agent model by mid 2025. Competition will increase, prices will go down, smaller models will become competitive as agents. So right now, actually agents are somewhat expensive to run in some cases, but I expect that that won't last six months.[00:24:23] Speaker: I, I bet we'll have much better agent models in six months. Another thing is instruction following ability, specifically in agentic contexts, will increase. And what that means is we'll have to do less manual engineering of agentic workflows and be able to do more by just prompting agents in more complex ways.[00:24:44] Speaker: Cloud is already really good at this. It's not perfect, but it's already really, really good. And I expect the other models will catch up to Cloud pretty soon. Error correction ability will increase, less getting stuck in loops. Again, this is something that Cloud's already pretty good at and I expect the others will, will follow.[00:25:00][00:25:01] Speaker: Agent benchmarks. Agent benchmarks will start saturating.[00:25:05] Speaker: And Swebench I think WebArena is already too easy. It, it is, it's not super easy, but it's already a bit too easy because the tasks we do in there are ones that take like two minutes for a human. So not, not too hard. And kind of historically in 2023 our benchmarks were too easy. So we built harder benchmarks like WebArena and Swebench were both built in 2023.[00:25:31] Future of Agent Development[00:25:31] Speaker: In 2024, our agents were too bad, so we built agents and now we're building better agents. In 2025, our benchmarks will be too easy, so we'll build better benchmarks, I'm, I'm guessing. So, I would expect to see much more challenging agent benchmarks come out, and we're already seeing some of them.[00:25:49] Speaker: In 2026, I don't know. I didn't write AGI, but we'll, we'll, we'll see.[00:25:56] Human-Agent Interaction Challenges[00:25:56] Speaker: Then the human agent computer interface. I think one thing that [00:26:00] we'll want to think about is what do we do at 75 percent success rate at things that we like actually care about? Right now we have 53 percent or 55 percent on Swebench verified, which is real world GitHub PRs.[00:26:16] Speaker: My impression is that the actual. Actual ability of models is maybe closer to 30 to 40%. So 30 to 40 percent of the things that I want an agent to solve on my own repos, it just solves without any human intervention. 80 to 90 percent it can solve without me opening an IDE. But I need to give it feedback.[00:26:36] Speaker: So how do we, how do we make that interaction smooth so that humans can audit? The work of agents that are really, really good, but not perfect is going to be a big challenge.[00:26:48] Expanding Agent Use Beyond Programming[00:26:48] Speaker: How can we expose the power of programming agents to other industries? So like as programmers, I think not all of us are using agents every day in our programming, although we probably will be [00:27:00] in in months or maybe a year.[00:27:02] Speaker: But I, I think it will come very naturally to us as programmers because we know code. We know, you know. Like how to architect software and stuff like that. So I think the question is how do we put this in the hands of like a lawyer or a chemist or somebody else and have them also be able to, you know, interact with it as naturally as we can.[00:27:25] Redesigning Systems for Agent Efficiency[00:27:25] Speaker: Another interesting thing is how can we redesign our existing systems for agents? So we had a paper on API based web agents, and basically what we showed is If you take a web agent and the agent interacts not with a website, but with APIs, the accuracy goes way up just because APIs are way easier to interact with.[00:27:42] Speaker: And in fact, like when I ask the, well, our agent, our agent is able to browse websites, but whenever I want it to interact with GitHub, I tell it do not browse the GitHub website. Use the GitHub API because it's way more successful at doing that. So maybe, you know, every website is going to need to have [00:28:00] an API because we're going to be having agents interact with them.[00:28:03] Accelerating Progress with Agent Technology[00:28:03] Speaker: About progress, I think progress will get faster. It's already fast. A lot of people are already overwhelmed, but I think it will continue. The reason why is agents are building agents. And better agents will build better agents faster. So I expect that you know, if you haven't interacted with a coding agent yet, it's pretty magical, like the stuff that it can do.[00:28:24] Speaker: So yeah.[00:28:28] Call to Action for Open Source Contributions[00:28:28] Speaker: And I have a call to action. I'm honestly, like I've been working on, you know, natural language processing and, and Language models for what, 15 years now. And even for me, it's pretty impressive what like AI agents powered by strong language models can do. On the other hand, I believe that we should really make these powerful tools accessible.[00:28:49] Speaker: And what I mean by this is I don't think like, you know, We, we should have these be opaque or limited to only a set, a certain set of people. I feel like they should be [00:29:00] affordable. They shouldn't be increasing the, you know, difference in the amount of power that people have. If anything, I'd really like them to kind of make it It's possible for people who weren't able to do things before to be able to do them well.[00:29:13] Speaker: Open source is one way to do that. That's why I'm working on open source. There are other ways to do that. You know, make things cheap, make things you know, so you can serve them to people who aren't able to afford them. Easily, like Duolingo is one example where they get all the people in the US to pay them 20 a month so that they can give all the people in South America free, you know, language education, so they can learn English and become, you know like, and become, you know, More attractive on the job market, for instance.[00:29:41] Speaker: And so I think we can all think of ways that we can do that sort of thing. And if that resonates with you, please contribute. Of course, I'd be happy if you contribute to OpenHands and use it. But another way you can do that is just use open source solutions, contribute to them, research with them, and train strong open source [00:30:00] models.[00:30:00] Speaker: So I see, you know, Some people in the room who are already training models. It'd be great if you could train models for coding agents and make them cheap. And yeah yeah, please. I, I was thinking about you among others. So yeah, that's all I have. Thanks.[00:30:20] Speaker 2: Slight, slightly controversial. Tick is probably the nicest way to say hot ticks. Any hot ticks questions, actual hot ticks?[00:30:31] Speaker: Oh, I can also show the other agents that were working, if anybody's interested, but yeah, sorry, go ahead.[00:30:36] Q&A: Agent Performance and Benchmarks[00:30:36] Speaker 3: Yeah, I have a couple of questions. So they're kind of paired, maybe. The first thing is that you said that You're estimating that your your agent is successfully resolving like something like 30 to 40 percent of your issues, but that's like below what you saw in Swebench.[00:30:52] Speaker 3: So I guess I'm wondering where that discrepancy is coming from. And then I guess my other second question, which is maybe broader in scope is that [00:31:00] like, if, if you think of an agent as like a junior developer, and I say, go do something, then I expect maybe tomorrow to get a Slack message being like, Hey, I ran into this issue.[00:31:10] Speaker 3: How can I resolve it? And, and, like you said, your agent is, like, successfully solving, like, 90 percent of issues where you give it direct feedback. So, are you thinking about how to get the agent to reach out to, like, for, for planning when it's, when it's stuck or something like that? Or, like, identify when it runs into a hole like that?[00:31:30] Speaker: Yeah, so great. These are great questions. Oh,[00:31:32] Speaker 3: sorry. The third question, which is a good, so this is the first two. And if so, are you going to add a benchmark for that second question?[00:31:40] Speaker: Okay. Great. Yeah. Great questions. Okay. So the first question was why do I think it's resolving less than 50 percent of the issues on Swebench?[00:31:48] Speaker: So first Swebench is on popular open source repos, and all of these popular open source repos were included in the training data for all of the language models. And so the language [00:32:00] models already know these repos. In some cases, the language models already know the individual issues in Swebench.[00:32:06] Speaker: So basically, like, some of the training data has leaked. And so it, it definitely will overestimate with respect to that. I don't think it's like, you know, Horribly, horribly off but I think, you know, it's boosting the accuracy by a little bit. So, maybe that's the biggest reason why. In terms of asking for help, and whether we're benchmarking asking for help yes we are.[00:32:29] Speaker: So one one thing we're working on now, which we're hoping to put out soon, is we we basically made SuperVig. Sweep edge issues. Like I'm having a, I'm having a problem with the matrix multiply. Please help. Because these are like, if anybody's run a popular open source, like framework, these are what half your issues are.[00:32:49] Speaker: You're like users show up and say like, my screen doesn't work. What, what's wrong or something. And so then you need to ask them questions and how to reproduce. So yeah, we're, we're, we're working on [00:33:00] that. I think. It, my impression is that agents are not very good at asking for help, even Claude. So like when, when they ask for help, they'll ask for help when they don't need it.[00:33:11] Speaker: And then won't ask for help when they do need it. So this is definitely like an issue, I think.[00:33:20] Speaker 4: Thanks for the great talk. I also have two questions.[00:33:23] Q&A: Web Agents and Interaction Methods[00:33:23] Speaker 4: It's first one can you talk a bit more about how the web agent interacts with So is there a VLM that looks at the web page layout and then you parse the HTML and select which buttons to click on? And if so do you think there's a future where there's like, so I work at Bing Microsoft AI.[00:33:41] Speaker 4: Do you think there's a future where the same web index, but there's an agent friendly web index where all the processing is done offline so that you don't need to spend time. Cleaning up, like, cleaning up these TML and figuring out what to click online. And any thoughts on, thoughts on that?[00:33:57] Speaker: Yeah, so great question. There's a lot of work on web [00:34:00] agents. I didn't go into, like, all of the details, but I think there's There's three main ways that agents interact with websites. The first way is the simplest way and the newest way, but it doesn't work very well, which is you take a screenshot of the website and then you click on a particular pixel value on the website.[00:34:23] Speaker: And Like models are not very good at that at the moment. Like they'll misclick. There was this thing about how like clawed computer use started like looking at pictures of Yellowstone national park or something like this. I don't know if you heard about this anecdote, but like people were like, oh, it's so human, it's looking for vacation.[00:34:40] Speaker: And it was like, no, it probably just misclicked on the wrong pixels and accidentally clicked on an ad. So like this is the simplest way. The second simplest way. You take the HTML and you basically identify elements in the HTML. You don't use any vision whatsoever. And then you say, okay, I want to click on this element.[00:34:59] Speaker: I want to enter text [00:35:00] in this element or something like that. But HTML is too huge. So it actually, it usually gets condensed down into something called an accessibility tree, which was made for screen readers for visually impaired people. And So that's another way. And then the third way is kind of a hybrid where you present the screenshot, but you also present like a textual summary of the output.[00:35:18] Speaker: And that's the one that I think will probably work best. What we're using is we're just using text at the moment. And that's just an implementation issue that we haven't implemented the. Visual stuff yet, but that's kind of like we're working on it now. Another thing that I should point out is we actually have two modalities for web browsing.[00:35:35] Speaker: Very recently we implemented this. And the reason why is because if you want to interact with full websites you will need to click on all of the elements or have the ability to click on all of the elements. But most of our work that we need websites for is just web browsing and like gathering information.[00:35:50] Speaker: So we have another modality where we convert all of it to markdown because that's like way more concise and easier for the agent to deal with. And then [00:36:00] can we create an index specifically for agents, maybe a markdown index or something like that would be, you know, would make sense. Oh, how would I make a successor to Swebench?[00:36:10] Speaker: So I mean, the first thing is there's like live code bench, which live code bench is basically continuously updating to make sure it doesn't leak into language model training data. That's easy to do for Swebench because it comes from real websites and those real websites are getting new issues all the time.[00:36:27] Speaker: So you could just do it on the same benchmarks that they have there. There's also like a pretty large number of things covering various coding tasks. So like, for example, Swebunch is mainly fixing issues, but there's also like documentation, there's generating tests that actually test the functionality that you want.[00:36:47] Speaker: And there there was a paper by a student at CMU on generating tests and stuff like that. So I feel like. Swebench is one piece of the puzzle, but you could also have like 10 different other tasks and then you could have like a composite [00:37:00] benchmark where you test all of these abilities, not just that particular one.[00:37:04] Speaker: Well, lots, lots of other things too, but[00:37:11] Speaker 2: Question from across. Use your mic, it will help. Um,[00:37:15] Speaker 5: Great talk. Thank you.[00:37:16] Q&A: Agent Architectures and Improvements[00:37:16] Speaker 5: My question is about your experience designing agent architectures. Specifically how much do you have to separate concerns in terms of tasks specific agents versus having one agent to do three or five things with a gigantic prompt with conditional paths and so on.[00:37:35] Speaker: Yeah, so that's a great question. So we have a basic coding and browsing agent. And I won't say basic, like it's a good, you know, it's a good agent, but it does coding and browsing. And it has instructions about how to do coding and browsing. That is enough for most things. Especially given a strong language model that has a lot of background knowledge about how to solve different types of tasks and how to use different APIs and stuff like that.[00:37:58] Speaker: We do have [00:38:00] a mechanism for something called micro agents. And micro agents are basically something that gets added to the prompt when a trigger is triggered. Right now it's very, very rudimentary. It's like if you detect the word GitHub anywhere, you get instructions about how to interact with GitHub, like use the API and don't browse.[00:38:17] Speaker: Also another one that I just added is for NPM, the like JavaScript package manager. And NPM, when it runs and it hits a failure, it Like hits in interactive terminals where it says, would you like to quit? Yep. Enter yes. And if that does it, it like stalls our agent for the time out until like two minutes.[00:38:36] Speaker: So like I added a new microagent whenever it started using NPM, it would Like get instructions about how to not use interactive terminal and stuff like that. So that's our current solution. Honestly, I like it a lot. It's simple. It's easy to maintain. It works really well and stuff like that. But I think there is a world where you would want something more complex than that.[00:38:55] Speaker 5: Got it. Thank you.[00:38:59] Speaker 6: I got a [00:39:00] question about MCP. I feel like this is the Anthropic Model Context Protocol. It seems like the most successful type of this, like, standardization of interactions between computers and agents. Are you guys adopting it? Is there any other competing standard?[00:39:16] Speaker 6: Anything, anything thought about it?[00:39:17] Speaker: Yeah, I think the Anth, so the Anthropic MCP is like, a way to It, it's essentially a collection of APIs that you can use to interact with different things on the internet. I, I think it's not a bad idea, but it, it's like, there's a few things that bug me a little bit about it.[00:39:40] Speaker: It's like we already have an API for GitHub, so why do we need an MCP for GitHub? Right. You know, like GitHub has an API, the GitHub API is evolving. We can look up the GitHub API documentation. So it seems like kind of duplicated a little bit. And also they have a setting where [00:40:00] it's like you have to spin up a server to serve your GitHub stuff.[00:40:04] Speaker: And you have to spin up a server to serve your like, you know, other stuff. And so I think it makes, it makes sense if you really care about like separation of concerns and security and like other things like this, but right now we haven't seen, we haven't seen that. To have a lot more value than interacting directly with the tools that are already provided.[00:40:26] Speaker: And that kind of goes into my general philosophy, which is we're already developing things for programmers. You know,[00:40:36] Speaker: how is an agent different than from a programmer? And it is different, obviously, you know, like agents are different from programmers, but they're not that different at this point. So we can kind of interact with the interfaces we create for, for programmers. Yeah. I might change my mind later though.[00:40:51] Speaker: So we'll see.[00:40:54] Speaker 7: Yeah. Hi. Thanks. Very interesting talk. You were saying that the agents you have right now [00:41:00] solve like maybe 30 percent of your, your issues out of the gate. I'm curious of the things that it doesn't do. Is there like a pattern that you observe? Like, Oh, like these are the sorts of things that it just seems to really struggle with, or is it just seemingly random?[00:41:15] Speaker: It's definitely not random. It's like, if you think it's more complex than it's. Like, just intuitively, it's more likely to fail. I've gotten a bit better at prompting also, so like, just to give an example it, it will sometimes fail to fix a GitHub workflow because it will not look at the GitHub workflow and understand what the GitHub workflow is doing before it solves the problem.[00:41:43] Speaker: So I, I think actually probably the biggest thing that it fails at is, um, er, that our, our agent plus Claude fails at is insufficient information gathering before trying to solve the task. And so if you provide all, if you provide instructions that it should do information [00:42:00] gathering beforehand, it tends to do well.[00:42:01] Speaker: If you don't provide sufficient instructions, it will try to solve the task without, like, fully understanding the task first, and then fail, and then you need to go back and give feedback. You know, additional feedback. Another example, like, I, I love this example. While I was developing the the monitor website that I, I showed here, we hit a really tricky bug where it was writing out a cache file to a different directory than it was reading the cache file from.[00:42:26] Speaker: And I had no idea what to do. I had no idea what was going on. I, I thought the bug was in a different part of the code, but what I asked it to do was come up with five possible reasons why this could be failing and decreasing order of likelihood and examine all of them. And that worked and it could just go in and like do that.[00:42:44] Speaker: So like I think a certain level of like scaffolding about like how it should sufficiently Gather all the information that's necessary in order to solve a task is like, if that's missing, then that's probably the biggest failure point at the moment. [00:43:00][00:43:01] Speaker 7: Thanks.[00:43:01] Speaker 6: Yeah.[00:43:06] Speaker 6: I'm just, I'm just using this as a chance to ask you all my questions.[00:43:09] Q&A: Self-Improving Agents and Authentication[00:43:09] Speaker 6: You had a, you had a slide on here about like self improving agents or something like that with memory. It's like a really throwaway slide for like a super powerful idea. It got me thinking about how I would do it. I have no idea how.[00:43:21] Speaker 6: So I just wanted you to chain a thought more on this.[00:43:25] Speaker: Yeah, self, self improving. So I think the biggest reason, like the simplest possible way to create a self improving agent. The problem with that is to have a really, really strong language model that with infinite context, and it can just go back and look at like all of its past experiences and, you know, learn from them.[00:43:46] Speaker: You might also want to remove the bad stuff just so it doesn't over index on it's like failed past experiences. But the problem is a really powerful language model is large. Infinite context is expensive. We don't have a good way to [00:44:00] index into it because like rag, Okay. At least in my experience, RAG from language to code doesn't work super well.[00:44:08] Speaker: So I think in the end, it's like, that's the way I would like to solve this problem. I'd like to have an infinite context and somehow be able to index into it appropriately. And I think that would mostly solve it. Another thing you can do is fine tuning. So I think like RAG is one way to get information into your model.[00:44:23] Speaker: Fine tuning is another way to get information into your model. So. That might be another way of continuously improving. Like you identify when you did a good job and then just add all of the good examples into your model.[00:44:34] Speaker 6: Yeah. So, you know, how like Voyager tries to write code into a skill library and then you reuse as a skill library, right?[00:44:40] Speaker 6: So that it improves in the sense that it just builds up the skill library over time.[00:44:44] Speaker: Yep.[00:44:44] Speaker 6: One thing I was like thinking about and there's this idea of, from, from Devin, your, your arch nemesis of playbooks. I don't know if you've seen them.[00:44:52] Speaker: Yeah, I mean, we're calling them workflows, but they're simpler.[00:44:55] Speaker 6: Yeah, so like, basically, like, you should, like, once a workflow works, you can kind of, [00:45:00] like, persist them as a skill library. Yeah. Right? Like I, I feel like that there's a, that's like some in between, like you said, you know, it's hard to do rag between language and code, but I feel like that is ragged for, like, I've done this before, last time I did it, this, this worked.[00:45:14] Speaker 6: So I'm just going to shortcut. All the stuff that failed before.[00:45:18] Speaker: Yeah, I totally, I think it's possible. It's just, you know, not, not trivial at the same time. I'll explain the two curves. So basically, the base, the baseline is just an agent that does it from scratch every time. And this curve up here is agent workflow memory where it's like adding the successful experiences back into the prompt.[00:45:39] Speaker: Why is this improving? The reason why is because just it failed on the first few examples and for the average to catch up it, it took a little bit of time. So it's not like this is actually improving it. You could just basically view the this one is constant and then this one is like improving.[00:45:56] Speaker: Like this, basically you can see it's continuing to go [00:46:00] up.[00:46:01] Speaker 8: How do you think we're going to solve the authentication problem for agents right now?[00:46:05] Speaker: When you say authentication, you mean like credentials, like, yeah.[00:46:09] Speaker 8: Yeah. Cause I've seen a few like startup solutions today, but it seems like it's limited to the amount of like websites or actual like authentication methods that it's capable of performing today.[00:46:19] Speaker: Yeah. Great questions. So. My preferred solution to this at the moment is GitHub like fine grained authentication tokens and GitHub fine grained authentication tokens allow you to specify like very free. On a very granular basis on this repo, you have permission to do this, on this repo, you have permission to do this.[00:46:41] Speaker: You also can prevent people from pushing to the main branch unless they get approved. You can do all of these other things. And I think these were all developed for human developers. Or like, the branch protection rules were developed for human developers. The fine grained authentication tokens were developed for GitHub apps.[00:46:56] Speaker: I think for GitHub, maybe [00:47:00] just pushing this like a little bit more is the way to do this. For other things, they're totally not prepared to give that sort of fine grained control. Like most APIs don't have something like a fine grained authentication token. And that goes into my like comment that we're going to need to prepare the world for agents, I think.[00:47:17] Speaker: But I think like the GitHub authentication tokens are like a good template for how you could start doing that maybe, but yeah, I don't, I don't, I don't have an answer.[00:47:25] Speaker 8: I'll let you know if I find one.[00:47:26] Speaker: Okay. Yeah.[00:47:31] Live Demonstration and Closing Remarks[00:47:31] Speaker: I'm going to finish up. Let, let me just see.[00:47:37] Speaker: Okay. So this one this one did write a script. I'm not going to actually read it for you. And then the other one, let's see.[00:47:51] Speaker: Yeah. So it sent a PR, sorry. What is, what is the PR URL?[00:48:00][00:48:02] Speaker: So I don't, I don't know if this sorry, that's taking way longer than it should. Okay, cool. Yeah. So this one sent a PR. I'll, I'll tell you later if this actually like successfully Oh, no, it's deployed on Vercel, so I can actually show you, but let's, let me try this real quick. Sorry. I know I don't have time.[00:48:24] Speaker: Yeah, there you go. I have pie charts now. So it's so fun. It's so fun to play with these things. Cause you could just do that while I'm giving a, you know, talk and things like that. So, yeah, thanks. Get full access to Latent Space at www.latent.space/subscribe

Ron Bodkin is CEO and Co-Founder of TheoriqAI (https://www.theoriq.ai), the first on-chain multi-agent system, enabling users to build, deploy, and earn via a community-governed AI agent marketplace, developed under the ChainML AI agent research and development platform. Ron has held pioneering AI roles at the world's most innovative tech companies, shares his journey from Google to founding TheoriqAI, his passionate commitment to community governed AI, the role of decentralization in ensuring safe and ethical AI, and his reflections on data economy creation as a use case.

[Episode 5 in the Inside Whissel Realty series on Real Estate Team OS]After managing a yoga studio for a decade, Katy Carlson joined Whissel Realty Group brokered by eXp Realty in San Diego as a real estate agent. In her first 18 months, she became a mentor and helped mature the mentorship program. She then shifted to the admin side as Head of Agent Development. Today Katy serves as Agent Success Manager.Learn what her role entails and how she helps get right-fit agents into active production quickly. Get details on their full-time, two-week training program, their mentorship program, the three main tools agents have to learn, the balance of different types of training methods, and more!Watch or listen to this Inside Whissel Realty episode with Katy Carlson for insights into:- Everyone following the same sequence and heading in the same direction despite different skill levels and paces- The scope and mission of the Agent Success Manager role- How she chose Whissel Realty Group as an agent after interviewing four other companies- Training energy regulation, sales skills, and mindset- The design of the first three months of agent onboarding, including the full-time, two-week training program, the mentorship program, and the green-lit/on-probation/cut-from-the-team outcomes for agents- The three main tools agents use (and get trained on)- The limited changes to buyer agent training- The types of training - role-play, refresh, required, optional, virtual, in-person, etc- The three things she's focused on for 2025At the end, learn about one-way tickets, new people, and beautiful experiences.Whissel Realty Group:- https://thewhisselway.com/- https://www.instagram.com/thewhisselway/- https://whisselrealty.com/Real Estate Team OS:- https://www.realestateteamos.com/subscribe- https://linktr.ee/realestateteamos- https://www.instagram.com/realestateteamos/

Get subscriber-only episodes and email-exclusive insights at RealEstateTeamOS.com/subscribeThe most common problem with corporate training and education, including real estate training, is its classroom-style, content-based, and lecture-based approach.We tend to pile on more modules, courses, topics, and information, rather than focusing very specifically on closing a skills gap.We often toss new agents into “sink or swim” situations, rather than supporting them in their roles.We tell them what to do over and over, rather than create a valuable learning experience.It's exhausting, ineffective, and unkind. And it's more work than you, your leaders, managers, staff, and agents should be doing.If you want better results with greater efficiency, you need to see or hear Carmen Morin. The fractional Chief Learning Officer with the #1 eXp Realty team in the world, Carmen shares with you the performance-based approach to education and training. She's an instructional design strategist, an award-winning classical pianist, and an entrepreneur who's partnered with Justin Havre and Jon Cheplak on https://AgentDevelopment.com.Here in this episode, you'll learn to set the right goal or outcome for your teaching programs, to develop skills, behaviors, and mindsets rather than knowledge alone, and to come alongside your agents just as teachers and mentors have done for millennia.The result: a more efficient and streamlined approach to developing foundational skills that produce performance and results.Watch or listen to this episode of Real Estate Team OS for Carmen's insights into:- All knowledge, skills, behavior, and mindset can be learned through focused and intentional training (90% nurture, 10% nature)- “Teaching as the mother of all leadership” and where we went astray- Transitioning your training to performance-based and learner-centered rather than content-based and content-centered- The importance of constant feedback and a sense of autonomy throughout the entire learning experience- How the solo, self-directed nature of real estate affects the way it should be taught, trained, and coached (think: more like golf or tennis than like basketball or hockey)- Key differences between teaching children and teaching adults- The sales successes, cost savings, and cultural benefits of the beta cycle of their 90-day, foundational training program- What types of training to deliver live vs written or recorded- Why your revamped training system is built around and cycles back to foundational skills- Advice for someone who wants to take a performance-based approach (whether agent, team leader, or brokerage owner)- How the habits to shape skills in arts and music benefit you in a professional pursuit like real estateAt the end, learn about Beyond Real Estate, (nearly) empty gas tanks, and resting in an active, multidisciplinary way.Check out the training program for solo agents, teams, and brokerages: - https://www.agentdevelopment.com/Connect with Carmen Morin: - https://carmenmorin.com- https://www.instagram.com/carmenmorin.co/Check out The Justin Havre Real Estate Team:- https://www.justinhavre.com/Connect with Real Estate Team OS:- https://www.instagram.com/realestateteamos/- https://www.realestateteamos.com- https://linktr.ee/realestateteamos 

In this episode, I interview Crystal White, Vice President of Agent Development at FC Tucker Company. Crystal shares her journey from REALTOR to coach and trainer, emphasizing the importance of confidence in a real estate industry that is seemingly being turned upside down. We discuss actionable strategies for overcoming fear, embracing change, and building confidence to serve clients better. Tune in for a conversation filled with energy and practical advice to get you through these tough times in a winning position.   Learn more about FC Tucker by visiting their website here. Connect with Crystal on Instagram.

Today's episode featured Evan Russell! Evan is a great friend of mine with tons of experience in real estate! He is now the VP of Agent Development at C21! He does a ton of coaching with agents and at this point in his career, has seen it all! He drops some amazing nuggets on tech and being a successful agent in today's market!

Help is at hand for health insurance agents in the form of Trusted American Insurance Agency. Up your sales game with back-office support services and training from an agency that understands what it takes to be successful. More details at https://brokers.taia.us/ The Trusted American Insurance Agency City: Roseville Address: 201 Creekside Ridge Court, Suite 200 Website: https://taia.us/

Witness Priceline's strategic bet as they opt for Google's AI capabilities over ChatGPT in the creation of their AI travel agent. Join us in exploring the implications and potential shifts in the landscape of AI partnerships and preferences. Get on the AI Box Waitlist: https://AIBox.ai/Join our ChatGPT Community: https://www.facebook.com/groups/739308654562189/Follow me on Twitter: https://twitter.com/jaeden_ai

Join us in Episode 19 of #TFTLB as we explore the intricacies of the dynamic world of pre-construction. Hosted by VP of Sales, Josh Benoliel, this episode features VP of Agent Development at Property.ca, Brendon Cowans, who went from IT Consulting to trading in real estate full time for the last 7 years. Brendon shares invaluable insights on navigating market changes, honing communication skills, and seizing opportunities. Tune in to gain actionable strategies to enhance lead conversion and valuable tips that will empower you to elevate your real estate success.

Episode 162 of The Smart Agents Podcast features business coach and motivational speaker, Lance Pendleton. With a remarkable track record spanning over two decades, including serving as the National Head of Agent Development for Compass, Lance has empowered over 30,000 real estate agents to thrive and prosper in their careers. Our conversation with Lance Pendleton centers around two critical aspects of a thriving real estate career: overcoming overwhelm and shattering limiting beliefs. Real estate can be a fast-paced and demanding field, and Lance shares invaluable insights on maintaining focus, staying organized, and achieving your goals, even in the midst of chaos. Additionally, he delves into the psychology of success, offering strategies to break free from self-imposed limitations that may be hindering your progress.

Description: In a world where the art of selling is constantly evolving, understanding the psychology behind human interactions can be the key to unlocking unprecedented success. This notion is passionately advocated by Lance Pendleton, a motivational speaker and business coach known for his ability to inspire and educate sales professionals through his humorous and relatable storytelling. Having dedicated over two decades to this realm, Lance has amassed invaluable insights that are not only transformative but immensely applicable to the modern sales landscape. A notable highlight of Lance's illustrious career was his memorable presentation at a TEDx event, where he delved into the intricacies of human behavior and its profound impact on sales and business success. His message resonated deeply with many, reinforcing the narrative that understanding human psychology is instrumental in building authentic and lasting relationships in business. During his tenure as the National Head of Agent Development for Compass, Lance's transformative leadership significantly impacted over 30,000 real estate agents. His innovative approaches fostered a culture of growth, enabling agents to humanize relationships and effectively anticipate client needs. This phase of his career was not just about numbers, but about instilling a sense of purpose and drive among professionals, traits that are quintessential for success in the real estate industry. In 2021, Lance took his passion for coaching a notch higher by co-founding GoodSphere, a forward-thinking real estate coaching company. At GoodSphere, the mission is simple yet profound; equip agents with essential habits and tactics crucial for business growth. The company also provides a nurturing environment to help agents navigate the often overwhelming challenges prevalent in the real estate sector. Lance is unreservedly keen on addressing some of the systemic issues faced by entrepreneurs, particularly in time management and goal setting. He also explores the nuanced challenges faced by individuals with ADHD in the entrepreneur community, shedding light on how executive functions impact daily life and why maintaining consistency can be a herculean task for solo entrepreneurs. Lance Pendleton is not just a coach; he's a catalyst for change, inspiring a wave of entrepreneurs and sales professionals to not only aim for success but to also strive for a profound impact in their professional endeavors. To connect with Lance, visit his website: https://lancependleton.com/ Disclaimer: Not advice. Educational purposes only. Not an endorsement for or against. Results not vetted. Views of the guests do not represent those of the host or show. Do your due diligence. Click here to join PodMatch (the "AirBNB" of Podcasting): https://www.joinpodmatch.com/drchrisloomdphd We couldn't do it without the support of our listeners. To help support the show: CashApp- https://cash.app/$drchrisloomdphd Venmo- https://account.venmo.com/u/Chris-Loo-4 Buy Me a Coffee- https://www.buymeacoffee.com/chrisJx Thank you to our sponsor, CityVest: https://bit.ly/37AOgkp Click here to schedule a 1-on-1 private coaching call: https://www.drchrisloomdphd.com/book-online Click here to purchase my books on Amazon: https://amzn.to/2PaQn4p Follow our YouTube channel: https://www.youtube.com/chL1357 Follow us on Twitter: https://www.twitter.com/drchrisloomdphd Follow us on Instagram: https://www.instagram.com/thereal_drchrisloo Follow us on TikTok: https://www.tiktok.com/@drchrisloomddphd Follow the podcast on Spotify: https://podcasters.spotify.com/pod/show/christopher-loo Thank you to our advertisers on Spotify. Financial Freedom for Physicians, Copyright 2023

Embark on a magical marketing journey with Conor Brown, Director of Agent Development at Keys to the Castle Travel and founder of WDWOpinion. Drawing from his training and experience as a Walt Disney World cast member, Conor unveils how Disney's mastery of storytelling can elevate your brand narrative.Delving into the behind-the-magic of Disney's renowned guest services and immersive theming, Conor outlines key storytelling strategies including establishing clear communication, crafting cohesive beginnings-middles-ends, and facilitating smooth transitions between ideas. He stresses focusing on the desired guest experience, then working backwards to build emotive stories that foster lifelong fans.Conor also shares his perspective on overcoming common small business pitfalls like fear of self-promotion. He emphasizes lead generation through valuable storytelling versus hard selling. Conor encourages exceeding expectations through personalized attention, proving goodwill pays off exponentially.Gain extraordinary insights from an industry expert on harnessing your brand's unique magic. Discover more Disney marketing secrets in this enchanting episode.Key Points:Disney's mastery of experience-based storytellingStrategies like clear communication and cohesive narrative structureDesigning experiences focused on desired guest emotionsLead generation through valuable storytelling vs. hard-sellingExceeding expectations with personalized attention and careResources:WDWOpinion - www.wdwopinion.comKeys to the Castle Travel - www.keystothecastletravel.comMomentum Workshop - www.loumongello.com/momentum----------------------Ecamm - Your go-to solution for crafting outstanding live shows and podcasts.SocialMediaNewsLive.com - Dive into our website for comprehensive episode breakdowns.Youtube.com - Tune in live, chat with us directly, and be part of the conversation. Or, revisit our archive of past broadcasts to stay updated.Facebook - Stream our show live and chat with us in real time. Connect, engage, and be a part of our community.Email - Subscribe and never miss a live show reminder.----------------------JeffSieh.com - Unlock the power of authentic storytelling with me! With over 20 years of marketing experience, I'm here to elevate your brand's narrative in an ever-competitive market. My expertise spans consulting, visual marketing, and producing podcasts and live videos.Additionally, as a

From Fortune 500 companies to individual real estate agents, it's important to have a brand that's so distinct that it cuts through the noise of a crowded marketplace. Great brands don't happen by chance, there's a process we have to follow from our core values all the way through to our colors, logos and our messaging.    There are so many real estate agents in America, so standing out is key to our survival. How do we build a brand that becomes highly recognizable in our markets? What do the best companies do when it comes to branding?   In this special replay episode, branding expert, real estate entrepreneur, speaker, and podcast host, Franke Joehl shares a simple but effective process to build a strong brand in real estate.  Three Things You'll Learn In This Episode    - Why our branding needs to appease the marketplace but still be authentic How do we make sure we're not conveying a brand and messaging that's confusing potential clients.    - The first step to powerful branding  What are the foundational pieces of branding that make it easier to choose the logo, slogan, colors and even the hashtags?    - How to do high-level market research without spending a dime  How can we infuse our brands with tactics and strategies from the best in the marketing field?     Guest Bio   Franke Joehl started in the Real Estate Industry with EXIT Realty in 2015 at age 18 and through the years serving in multiple roles he has found his passion for Teaching, Coaching, and Developing Agents and Brokerages. Starting in the industry as an executive assistant for a team, becoming a licensed agent, transitioning to Director of Agent Development for a multi-location brokerage to ultimately moving into a Leadership role with a regional sub franchisor, Franke has been on multiple sides of the Real Estate Transaction and uses this knowledge learned to teach and train agents and brokers to success using Social Media.   Currently serving as Director of Operations for EXIT Realty Alabama and Mississippi, recently named EXIT Realty Corp. International's 2021 Region of the Year, Franke is responsible for maintaining franchise records and compliance, onboarding of new offices, coaching and training of agents, and overall operations for the entire region. Franke is a National Speaker, speaking across the US and Canada and the creator of Fearlessly Authentic Coaching and The Fearlessly Authentic Podcast, which are dedicated to helping real estate agents with all things Social Media, Marketing, and Branding while still being their Fearlessly Authentic Self. For more of Franke's branding strategies, subscribe to his YouTube channel, and text FRANKE to 85377. Follow @frankejoehl on Instagram.

On this episode of Bridging the Gap, Lance Pendleton, Real Estate Coach and TEDx Motivational Speaker, joins Matt to talk through everything from collecting quotes on his iPhone to the need for change in the real estate industry. Lance talks through his career journey, the power of relationships, and the wisdom he's gained from others along that journey. He dives into how he uses a holistic view to help people become better in their profession. Lance shares his thoughts on gratitude journaling, the importance of the small things, setting boundaries, and improving our time management skills. Lance Pendleton Bio: With over fifteen years of experience in companies from Compass, Sotheby's, (the once cool) Blockbuster, and Apple and with a deep understanding of the psychology of human behavior, Lance helps sales professionals remove the blockers to their growth and development. As a TEDx speaker, consultant, and leader in his field, Lance is on a mission to help exceptional leaders stop overcomplicating things and simplify what matters. Most recently, the National Head of Agent Strategy and Success for Compass, Lance, helped drive business growth and success for over 30,000 real estate agents across the country. Lance specializes in the psychology of human behavior, with a focus on developing business professionals who can humanize relationships and anticipate a client's needs. Formerly the Head of Agent Development at Compass and Chief Innovation Officer for the largest Sotheby's Realty affiliate in the world, he has also worked as a corporate sales trainer, business development specialist, speaker, and consultant.More Content For Financial Advisors and Wealth Management FirmsYouTubeTwitterLinkedIn

Amy Corr the Executive Vice-President of Culture and Agent Development for @properties and Christie's International Real Estate, talks about her journey and her experience from tech firm to getting a real estate agent license. Amy explains how important is to give so much love to clients and get to know them better. Next, Amy talks about […]

Skye Michiels ran a one of the most successful real estate team in Philadelphia before transitioning into a leadership role at Compass where he coaches and trains top agents in every market in the country. He travels the country meeting with top agents and helps them implement tactical strategies and life hacks to accelerate their personal and professional growth. He founded a group called the 6AMERS which is a call he leads at 6AM each morning with agents around the country. There is no better person equipped to help agents navigate a tough, shifting market.  School is in session.   Please subscribe and leave us a comment and 5 star review at Apple Podcast if you like our content and share with fellow agents in your office.   @skyemichiels @the6AMers   @dannybrownla dbrown@compass.com www.dannybrownla.com

We have the Director of Training and Agent Development at Armstrong Transport Group - Scott "The Freight Sensei" Watanabe joining us on Sales Chatter. Welcome to the Sales Chatter, the original morning show! With your hosts Ryan Mohamed, Dan Deigan, and Jeff Dickinson.Do you have freight in the Ohio, Indiana, New York, Or Toronto area that you're struggling with going back and forth to Western Canada? If so, then get a hold of Centurion Trucking; our friend Daman and his team are set to rock your world with service and value as you've never seen before!Get hold of Daman by email; he's ready to discuss how you can fit into his mission of people before profits... Agents@Ameri-CanLogistics.com

Skye Michiels the National Head of Agent Development at Compass and DJ discuss how photos give you a better chance to connect with people and how to use this tool. Skye goes back to the beginning of his career in real estate how he got into Compass and became the head of agent development there. […]

Thanks for tuning in! Check out our latest episode on Selling Real Estate with Kelly Cook, with a special guest Lance Billingsley! Today, we're going to be talking about Agent Development, Titles, and Weathering this Current Market. Stay tuned! Want to be a guest on our podcast? Email marketing@cookandassociatesaz.com OR kelly@cookandassociatesaz.com Selling your home? Get a free Home Price Evaluation http://www.myhomevaluecalculator.com Kelly Cook, MBA Cook & Associates, PC REAL Broker 14201 N Hayden Rd, Ste C-4 Scottsdale, AZ 85260 480-442-9868 kelly@cookandassociatesaz.com CookandAssociatesAZ.com

To learn more and to order visit: https://nationalalliancebooks.com/collections/new-products/products/fundamentals-of-life-health-insuranceTom Faulconer, JD, CFP(r), CASL, ChFC, CPCU is a 1985 graduate of Butler University and a 1988 graduate of the Indiana University School of Law at Indianapolis. He began his career at Indiana Farm Bureau Insurance as Advanced Sales Counsel, was promoted to Manager of Agent Training, and Director of Agent Development, and was named Senior Vice President and Chief Marketing Officer in 2010. While at Indiana Farm Bureau Insurance, in addition to continuing his legal work and education, Tom earned several professional designations including the Certified Financial Planner®, Chartered Life Underwriter, Chartered Financial Consultant, Chartered Advisor for Senior Living, and the Chartered Property and Casualty Underwriter.  He also earned Series 6, 7, 63 and 26 securities registrations, served as the Office of Supervisory Jurisdiction in Indiana for EquiTrust Marketing Services (Broker-dealer), and introduced variable products to the company's field force. His insurance training courses have been taken by hundreds of insurance professionals and he has presented numerous continuing education courses. Tom is currently a member of the faculty of Risk Management and Insurance at Butler University. 

Today, we're doing things a little bit differently. We had such a wonderful time with previous guest Stephanie Gilezan on TCP, so we sent our National Sales Director Paul Cohen to join her show CRE Power Hour. Stephanie, Paul, and cohost Lisamarie Wand cover topics ranging from: Time-tested property marketing strategies.How streamlined technology is changing the CRE landscape.The entrepreneurial edge needed to successfully scale your business.And much more! It's a conversation you will not want to miss. The CRE Power Hour has graciously shared this episode with us so we could share it with you. We hope you enjoy!If you enjoyed this episode, please subscribe to our newsletter to receive the very next one delivered straight to your inbox. For show notes, past guests, and more CRE content, please check out Crexi Insights.Ready to find your next CRE property? Visit Crexi and immediately browse hundreds of thousands of available commercial properties.Follow Crexi:https://www.crexi.com/​ https://www.crexi.com/instagram​ https://www.crexi.com/facebook​ https://www.crexi.com/twitter​ https://www.crexi.com/linkedin​ https://www.youtube.com/crexiAbout Paul Cohen:Paul is the US Director for Crexi where he utilizes his experience in assisting brokers in getting deals done. Paul is widely recognized as a market expert in Commercial Real Estate and has represented numerous private owners with underwriting and developing marketing strategies and has over $1 Billion in total transaction valuation.About Stephanie Gilezan:At the age of 25, Stephanie Gilezan was the first and youngest realtor in Kentucky to be awarded one of the top 30 agents under thirty years old in the country by the National Association of Realtors. Stephanie moved her brokerage to eXp Realty in 2018 and has held many titles since. Last year she launched eXp Commercial in all 50 states. One of her many current roles is the Director of Growth at eXp Commercial where she recruits agents to join the fastest growing brokerage in America. Stephanie recruits, trains, and supports commercial real estate professionals across the country in a company wide effort to transform the commercial real estate industry. With over 24 years of experience as a licensed broker, Stephanie has become an expert in all aspects of Commercial Real Estate, Business Brokerage, Business Development, and Commercial Investments. She is also a land developer, builder, owns and operates a real estate team in the top 5% of producers in Kentucky and Indiana.About Lisamarie Wand:Lisamarie truly believes “we rise by lifting others,” and this guides everything she does. Whether speaking at local or national events, coaching new and experienced real estate agents, Lisamarie is always sharing her knowledge and experience to inspire others. As Commercial Designated Managing Broker for eXp Commercial, she oversees all commercial real estate agents and transactions in the State of Nevada. As Senior Advisor of Agent Development at eXp Commercial, she coaches and mentors commercial real estate agents across the country. In 2021, Lisamarie's dynamic & engaging mentoring style was recognized by eXp University when she was awarded the Commercial Instructor of the Year. Today, as founder and CEO of Lisamarie Wand Group, she has become one of Nevada's most influential brokers working with business owners, investors, landlords, tenants as well as brokering business sales.

We're so excited to have the fabulous Kim Heizmann on this week's episode to discuss the growth in the Okanagan real estate market, being the former President of the Association of Interior REALTORS®, and how her previous career in mental health has shaped her business in putting her clients' needs first. If you'd like to find out more about Oakwyn Okanagan, reach out to Kim, our Director of Agent Development in our upcoming office in Kelowna!

Skye Michaels is the head of agent development at Compass and has spent the past four years as the managing director of Compass Philadelphia. A few years ago he founded a small group called the 6AMERS who start their day off at 6AM with an inspiring conference call led by Skye. This group has exploded in popularity into a nationwide call of over 4,000 Compass real estate agents. Well known as a  dynamic leader within Compass, Skye started his career as a high school teacher and stumbled upon real estate as a side hustle. He was working as a teacher all day and showing homes after school in the evenings and burning the candle at both ends. After three years of grinding and juggling two careers he earned his entire teacher's salary in one month and the writing was on the wall.  Skye applied his energy, heart and work ethic into a full time career in real estate and brick by brick became and built one of strongest real estate teams (Real Estate With Heart Team) in the Philadelphia. This is a story of work ethic, tenacity, extreme accountability and having a powerful, positive mind set.  School is in session. *This was recorded in March 2022 hence the reference to Villanova VS. Kansas in the Final Four and March Madness.* Skye Michaels https://www.instagram.com/the6amers/   Danny Brown http://instagram.com/dannybrownla http://www.dannybrownla.com 

Episode 113:  In this episode, Scott & Renee interview Zach Hensrude.  Zach is a personal development expert, Director of Agent Development for RE/MAX Elite in WA state, and runs a Platinum Level Team for RE/MAX.  In this episode, he shares how stories can really set you apart from typical agents, and how it can ultimately allow a consumer to gravitate towards using you because they too want to be the hero in a story.Shared and recommended in this episode is - Creating Your Story Brand by Donald Miller.

Joining Armstrong in 2014, Scott Watanabe serves as Director of Training and Agent Development for Armstrong Transport Group. Also known as "The Freight Sensei," Scott oversees new hire training, agent mentoring, and continuing education through professional development. He is skilled in negotiation, operations management, and customer and carrier sales. In this episode we discuss how he trains and coaches his team, how fuel price negotiations work on the brokerage side, the traits successful freight brokers have, and much more!

Scott Watanabe AKA The Freight Sensei is the Director of Training and Agent Development at Armstrong Transport Group-Boise. Armstrong Transport Group provides logistics solutions for an evolving marketplace. With a multi-modal carrier network, logistics experts, and reliable customer service, Armstrong is your one-stop-shop for logistics, regardless of location or capacity. Make sure to connect with Scott on social media! 

From Fortune 500 companies to individual real estate agents, it's important to have a brand that's so distinct that it cuts through the noise of a crowded marketplace. Great brands don't happen by chance, there's a process we have to follow from our core values all the way through to our colors, logos and our messaging.    There are so many real estate agents in America, so standing out is key to our survival. How do we build a brand that becomes highly recognizable in our markets? What do the best companies do when it comes to branding?   In this episode, I'm joined by branding expert, real estate entrepreneur, speaker, and podcast host, Franke Joehl. He shares a simple but effective process we can follow to build a strong brand in real estate.  Three Things You'll Learn In This Episode    - Why our branding needs to appease the marketplace but still be authentic How do we make sure we're not conveying a brand and messaging that's confusing potential clients.    - The first step to powerful branding  What are the foundational pieces of branding that make it easier to choose the logo, slogan, colors and even the hashtags?    - How to do high-level market research without spending a dime  How can we infuse our brands with tactics and strategies from the best in the marketing field?   Guest Bio-    Franke Joehl started in the Real Estate Industry with EXIT Realty in 2015 at age 18 and through the years serving in multiple roles he has found his passion for Teaching, Coaching, and Developing Agents and Brokerages. Starting in the industry as an executive assistant for a team, becoming a licensed agent, transitioning to Director of Agent Development for a multi-location brokerage to ultimately moving into a Leadership role with a regional sub franchisor, Franke has been on multiple sides of the Real Estate Transaction and uses this knowledge learned to teach and train agents and brokers to success using Social Media.   Currently serving as Director of Operations for EXIT Realty Alabama and Mississippi, recently named EXIT Realty Corp. International's 2021 Region of the Year, Franke is responsible for maintaining franchise records and compliance, onboarding of new offices, coaching and training of agents, and overall operations for the entire region. Franke is a National Speaker, speaking across the US and Canada and the creator of Fearlessly Authentic Coaching and The Fearlessly Authentic Podcast, which are dedicated to helping real estate agents with all things Social Media, Marketing, and Branding while still being their Fearlessly Authentic Self. For more of Franke's branding strategies, subscribe to his YouTube channel, and text FRANKE to 85377. Follow @frankejoehl on Instagram.

This week, we spoke with the newest addition to the BWLP management team, our Director of Agent Development, Hunter Andre! We learned about his transition into real estate, his incredible career, and his tips on how agents can maximize their business through a little bit of strategy, and a whole lot of patience. Hunter is an incredible agent and teacher, and there's a lot to learn on this episode! Contact Hunter Andre:

Fresh out of high school, Franke Joehl jumped into real estate and in the last 7 years - he has catapulted his career and is now the director of Operations for EXIT Realty Alabama and Mississippi as well as an amazing national speaker, coach, podcaster and more. Franke is also a long-time #GetSocialSmart Academy member and dear friend and I am thrilled to be able to highlight him in our Academy Spotlight Series!In this podcast, we delve into some of the social media marketing strategies that are most effective now, common marketing mistakes seen as a real estate agent, some of Franke's best Canva tips and how to be fearlessly authentic on camera and on social media.I loved our conversation and know you will too!About Franke:Franke Joehl started in the real estate industry with EXIT Realty in 2015 at age 18 and through the years serving in multiple roles he has found his passion of teaching, coaching and developing agents and brokerages. Starting in the industry as an executive assistant for a team, becoming a licensed agent, transitioning to Director of Agent Development for a multi-location brokerage to ultimately moving into a leadership role with a regional sub franchisor, Franke has been on multiple sides of the real estate transaction and uses this knowledge learned to teach and train agents and brokers to success using social media.Franke is a national speaker, speaking across the US and Canada and the creator of Fearlessly Authentic Coaching and The Fearlessly Authentic Podcast, which are dedicated to helping real estate agents with all things social media, marketing, and branding while still being their fearlessly authentic self.Additional links: Connect with Franke on Instagram and Facebook Podcast: Celebrating 9 years in business! Check out lots more interviews on the podcast here Do you have ideas for topics for our podcast? Email me at katie@katielance.com Visit me at KatieLance.com for more info about my speaking, consulting and our # GetSocialSmart Academy Follow me on Instagram for more behind-the-scenes into my life and business @katielance (Enjoying this podcast? Tag me on IG and let me know!)

#081 - All people are not alike, so why should there be only one path to a successful real estate career?That's what my guest, Bruce Gardner thinks and he has written a book on this topic called “Seven Styles. How To Design Your Real Estate Career of Success and Significance.”Bruce believes that you should choose a lead generation strategy that's best suited to your personality.He discusses the seven styles of success on this podcast so you can choose the one that's right for you.Meet Bruce GardnerBruce is a 25+ year veteran of the real estate industry and has more than 30 years of sales experience. His sales and sales management career began in 1981. Bruce received his Colorado real estate license in 1992. He worked with RE/MAX from 1992 to 2006 and with Keller Williams from 2006-2008.He was the Director of Agent Development for Your Castle Real Estate in Denver, CO, from January 2009 until October 2012. During his tenure at Your Castle Real Estate, the Company grew from 165 Agents to 375 and became the 9th most productive real estate company in the Denver Metro area, during the largest real estate and economic downturn in decades.Bruce holds the Graduate of the Realtor Institute designation, is a Certified Residential Specialist and is an Accredited Buyer's Representative. He served on the Board of Directors for the Aurora Association of Realtor's for 6 years, served on their Professional Standards Committee, and has served on the Board of Directors for Metrolist, the Denver MLS provider, since 2002.He is a member of the RE/MAX Hall of Fame, was chosen as the 2008 Realtor of the Year for the Aurora Association of Realtor's, and was chosen as the 2013 Entrepreneur of the Year by the Women's Council of Realtor's.Bruce teaches continuing education classes for the real estate community and he is a sought after speaker for industry groups. Bruce is the creator of the “Seven Styles Success System” for real estate Agents, and is an Expert on Lead Generation Strategies for real estate professionals. His speaking engagements include numerous Realtor Associations, individual real estate companies for private events, the Colorado Association of Realtor's Annual State Convention and he has been a featured speaker at the National Association of Realtor's Annual National Convention.Connect with BruceCheck out Bruce's website, BruceGardner.com. You can reach him at bruce@brucegardner.com.Also, be sure to get his book, “Seven Styles. How To Design Your Real Estate Career of Success and Significance”Get the UnsalesyGramWant a dose of inspiration and motivation in your inbox once a month?  Sign up for my free newsletter here.Support the show (https://www.patreon.com/unsalesperson)

Across the province, REALTORS® and brokerages engaged in innovative work to support the real estate profession and the public. And we want to share those stories. On this episode of Open House by BCREA, explore an innovative way to build trusting, successful relationships with your clients through our conversation with Mark Winter. Mark is a seasoned real estate professional with 30 years of experience and is also a certified coach. He is Director of Agent Development at a BC real estate brokerage and has written a book entitled A Different Conversation: Realizing Your Potential as a Real Estate Agent. This episode was recorded on October 22, 2021.Links:New Survey Offers Insights Into What Canadians are Saying About REALTORS®A Different Converesation: Realizing Your Potential as a Real Estate AgentBackgroundIf you had to pick the most important thing you could provide your clients with, what would it be?In a survey recently published by the Canadian Real Estate Association and Nanos Research, the most important attributes a Realtor should display in their interactions with clients are honesty and integrity. In other words, your clients want to be able to trust you.But building that trust can be easier said than done and the survey results also highlight that there is some room to grow in that area.Joining us to talk about an innovative way to build trust in your relationships with your clients is Mark Winter. Mark has been a part of the same BC brokerage since 1992 and now has over 30 years of experience in the real estate business. He started off as a Realtor and now works in a senior leadership role as Director of Agent Development.He's also a certified coach and putting his two passions together has written a book entitled A Different Conversation: Realizing Your Potential as a Real Estate Agent. Mark joins us to talk about the coaching approach and how this approach can lead to more success and fulfillment as a Realtor, which in turn means more satisfied clients.Subscribe & FollowDo you want to be notified on your smartphone when the latest episode of Open House by BCREA is published? Subscribe on your favourite podcast app, including Apple Podcasts, Spotify, Google Podcasts, Stitcher, and TuneIn.You can even ask Alexa to “play the podcast Open House by BCREA.”While you're waiting for the next episode, follow BCREA on social media to stay updated:BCREA on FacebookBCREA on TwitterBCREA on LinkedInBCREA on YouTubeBCREA on Instagram

After you sell a home, how do you stay connected with your past clients? Do you have a process for keeping in touch with them? Today's podcast is with special guest Sean Carpenter. https://www.carpscorner.net/sean-speaks/ (Sean Carpenter) is the former Director of Training and Development for NRT Ohio who has been a licensed Realtor with Coldwell Banker King Thompson since 1998. Sean led a successful career in real estate prior to becoming a branch manager in 2003. He loved the training and coaching part of the job and was elevated to the Agent Development role in 2005. During the 11 years in that role, he was the co-creator of the company's highly regarded Pro Start Academy, and also developed programs such as the Elevation Workshops, Boost Your Business sessions, B.A.S.I.C Training workshops, and co-created the Success Track Coaching Program. Sean has been recognized as one of Inman News 100 Most Influential People in Real Estate (2013), he's been one of the Swanepoel's Top 20 Most Influential Social Media Voices in Real Estate since 2016 and was recently added to http://blog.homespotter.com/2016/10/19/real-estate-influencers/ (Homespotter's Top 100 List) and Contactually's http://blog.contactually.com/2016/10/10-real-estate-influencers-to-have-on-your-radar/ (10 Influencers to Have on Your Radar). Sean says real estate is about three things: building relationships, solving problems, and having fun. This week's podcast is sure to inspire, motivate, and encourage you no matter where you are in your real estate career. Sean shares his wisdom and expertise on ways to create better relationships with your sphere of influence. Listen in to learn why September 30th is like New Year's Eve, how to earn trust from your clients, and what the 4H club is all about. This is an episode you'll want to take notes on because it's packed full of tips that you can implement in as little as 45 minutes a day. The Solution is a Real Estate Podcast sponsored by LEOPARD. Jeff Sibbach and Phil Sexton share what they see happening in the industry, ways to put the consumer first, and how we can collectively change the industry for the better. Learn more about the Real Estate Agents for Consumers

In Episode 35 of the 3RIPLE 3HREAT podcast our featured guest is Derrick Coles. Derrick is the Assistant Director of Agent Development at the NCAA. In his position, he is the middleman of the ‘test the water stage' program that the NCAA has with potential NBA/NFL players. Jermel and Derrick had a great conversation about what general managers, scouts and sports agents are looking for. Tune into the 3RIPLE 3HREAT podcast to hear about The Ultimate Student-Athlete Experience: stories about student-athletes, for student-athletes and by student-athletes!

The supernatural and real estate might be much more related than you think. If you're a REALTOR, listen to this episode and learn how to support your clients... even if their beliefs are a little different from yours. Key takeaways to listen for The impact that real estate can have on your life Supernatural things you'll learn through real estate How to serve clients that believe in the supernatural About Shadd Boucher Shadd works as a Director of Agent Development at Re/Max Capital Realty. He develops agents into producers, has a passion for succeeding through others, and loves mentoring any agent willing to learn. Connect with Shadd Facebook: REMAX Capital Realty Personal Facebook: Shadd Boucher Instagram: @shaddboucher Twitter: @ShaddBoucher   Connect with Leigh Please subscribe to this podcast in iTunes or in the Podcasts App on your phone, and never miss a beat from Leigh by visiting https://leighbrown.com. DM Leigh Brown on Instagram or on Twitter or any social networks by clicking here. Subscribe to Leigh's other podcast Real Estate From The Rooftops! Sponsor If you're tired of doing real estate alone, enroll in  Leigh Brown University and be sure to use your special “CSIRE” discount code at checkout for $10 off your subscription.

Episode 79:  Success in real estate is a journey.  From new agent, to experienced agent up to the top producers.  What causes success?  What do top producers do differently?  How do you push beyond a plateau or get unstuck?  In this episode, Scott & Renee interview the Director of Agent Development for RE/MAX Southern Shores and host of his own podcast "Rise Up in Real Estate" Travis McClure.

Sean serves the Central Ohio market as an agent but his primary occupation is a speaker. He started his company Sean Speaks in 2018, holding 55 speaking events in 2018 and 11 real estate sides. Licensed since 1998, Sean was an agent for 4 years, then managed a Coldwell Banker office for two. He then became Director of Agent Development for Ohio NRT Companies in Columbus and Cincinnati overseeing training and education for 1300 agents in Columbus and Cincinnati markets. Sean started speaking nationally in 2007, and in 2016, retired from a role with CB/NRT, jumped back into sales, and took his speaking to a larger national audience. In today's episode, we look at databases from 4 levels of magnification and explore how they interrelate.  In this episode, you'll learn... Level 1 - Anybody you know Level 2 - Sphere of Influence Level 3 - Clients Level 4 - The Bullseye Links and resources mentioned in this episode. Twitter: @seancarp   Instagram: @seancarp  or @SeanCarpSpeaks http://www.carpscorner.net/ To subscribe and rate & review visit one of the platforms below: Follow Real Estate Success Rocks on:  

Kirtus Dixon, "In order to bring the fire, you have to respect the flame", Program Director in Agent Development / Realtor at eXp Realty on Global Luxury Real Estate Mastermind with Michael Valdes Podcast #160 Kirtus Dixon is an entrepreneur, coach, mentor, and SVP of eXp Agent Development talks about his humble beginnings in Laredo, Texas, and how he went to build four businesses and coach thousands of agents. He is one of the most caring and talented coaches I know. It's a true pleasure to witness firsthand the impact he has on so many people's lives. Thanks, Kirtus, for who you are and this conversation. More About Kirtus Dixon:  For over a decade, Kirtus have passionately pursued the knowledge, technology and relationships available to help thousands of people maximize their impact. It’s an honor for him to serve this industry through his role in innovating real estate agent development at eXp Realty. Kirtus has 20 years of experience as a trained problem solver and business builder. With a passion for real estate education and business operations as well as a unique background as a technology entrepreneur, educational content creator, sales executive, and an engineer, Kirtus is a visionary leader and proven integrator. He has become adept at the science of problem solving, solution development, implementation and execution. His current personal passions are traveling with his family, coaching basketball, trying to live a predominantly plant based lifestyle and learning new technologies. Specialties: Real Estate, Leadership, Operations, Coaching, Project Management, Market Development, Customer Development, User Experience, Product Development, Problem Solving, Networking, Business Development, Customer Segmentation, Data Analysis, Management, Sales, Training, Professional Development, Interviewing, Recruiting, Partnership Development.  About Michael Valdes:  Michael Valdes is the newly named President of eXp Global at eXp Realty. Previously Michael was the senior vice president of global servicing for Realogy Corporation, one of the world's largest real estate companies and parent to Coldwell Banker, C21 and Sotheby’s. Earlier in his career, Mr. Valdes was Director of Private Banking at Deutsche Bank for just under a decade where he oversaw a book of business of just under $1 billion. He has the distinction of being the first Director in the United States of Latino descent. Mr. Valdes is the Chair of the AREAA Global Advisory Board and co-host of the 2020 AREAA Global Luxury Summit. He is also a current member of the NAHREP Corporate Board of Governors and a member of Forbes' Real Estate Council. Additionally, he is the Executive Chair of the ONE VOZ, Hispanic ERG for the firm and a member of Forbes Real Estate Council. He is a former Board Member of Mount Sinai Hospital in Miami Beach as well as the Shanti Organization in San Francisco. Michael was also a Board Member of Pink & Blue for 2, an organization started by Olivia Newton-John to promote breast and prostate cancer awareness.

On this episode of the Toe-2-Toe Podcast, hosts Jenn Murtland and Monica Weakley throw down over whether you should use your commission to settle buyer and seller disputes. Politely, they agree to disagree on this one!Episode Highlights: Jenn believes that because the agent is not a part of the contract, they should not be part of the negotiation.Monica thinks there are definitely times where it absolutely makes sense to throw in from a financial standpoint.Besides making a mistake, Jenn thinks agents are too quick to dip into their commission to get the deal done.As agents, your time is valuable, so don’t partake in anything that does not pay you for your time.Monica dealt with a client that was willing to walk for $600 over principle, so she decided to pay out of her commission.Jenn thinks that agents should walk away because she expects the other side to cave in.Monica looks at the consequences way down the road and lets those weigh into her decision to use her commission.Don’t just immediately give up your commission, but if it makes sense financially, don’t be blind to the benefits.If you decide to walk away, you have to spend more time finding a new deal, and also, having your sign up for that long looks bad.Even though you are willing to give up your commission, it’s not ethical to ask the other agent to give up their money.Jenn believes that if the parties involved in the contract can’t figure it out, then they are too caught up in their emotions.If you are able to get your clients all the way to the end, make sure they cross the finish line.Monica and Jenn actually agree that too many agents give in far too early.Buyer’s agents tend to give in more frequently, and they can’t be sure that they are going to get the deal.Monica hates that agents consider themselves busy with tasks other than buying and selling houses.Take your desired income divided by your hours to determine the worth of your hourly pay rate.This week’s tiebreaker, Anne Uchtman, is an agent and the Director of Agent Development and Training with StarOne, so she knows the rules.If a deal with the other agent has been reached, then Anne believes it’s worth it to dip into commission.Agents aren’t just showing beautiful houses all day; there are plenty of challenges and hindering factors.It’s in the code of ethics that agents need to cooperate with each other in the best interest of their clients.Every brokerage has different rules in regards to their agents cutting a check to settle a dispute.While this is a viable tactic, it is not to be regarded as the first line of defense.3 Key Points:Agents need to understand the value of their time so that if they are doing any task that does not sufficiently pay for their time, they know they need to back out.The difference between buyer’s agents and seller’s agents is that buyer’s agents don’t even know if they’re going to get the deal, thus making them more likely to give up their commission with the long process.Though they agree that agents give in too early, Jenn and Monica differ in their opinions on whether or not you should dip into your commission at all. Monica says yes while Jenn says no.Resources Mentioned:Jenn Murtland (website, LinkedIn, Facebook)Call Jenn at (513) 400-1691 to discuss transitioning to eXp RealtyMonica Weakley (website, LinkedIn, Facebook)Toe 2 Toe Podcast Facebook PageAnne Uchtman (Facebook, LinkedIn)

Madelyn Flannagan, Vice President, Agent Development, Education, and Research, IIABA   Madelyn Flannagan lives, breathes, analyzes, and guides the independent agents in America’s workforce. How are agents doing now? Who is thriving and who is not? How has the pandemic affected the independent agent channel? How will that change the future of agent operations?    Madelyn dives into her research and observations to share insights on:   What successful agents in 2020 are doing differently The business characteristic that will be crucial for agents moving forward Big changes agencies are making now to prepare for a very different future   For more than 25 years Madelyn has had her finger on the pulse of the independent agent. Listen to this discussion for important insights on where the industry is going.    Presented by Agency Revolution, the Connected Insurance Podcast provides weekly opportunities for listeners to dive deep into the trends affecting insurance agents and brokers today and to gain proven strategies and tactics for agency growth. Our hosts facilitate thoughtful panels and 1:1 conversations with a variety of prominent thought leaders, with a focus on how to streamline and drive operational efficiency for your independent agency through the intelligent use of technology.

Freight agents rely on technology to maintain the daily operations of their supply chains. But with so many different tools available, how are they using the data gathered from that technology to drive growth? Katie MacDonald, Vice President of Agent Development for Landstar, explains how utilizing the right tech to focus on the right data can keep the loads moving and your business growing. FOR MORE INFORMATION:   https://www.landstar.com/ WANT TO RESPOND TO THIS EPISODE? Call our Dialog Line: 888-878-3247 DOWNLOAD THE NEW INBOUND LOGISTICS APP featuring the 2019 Logistics Planner! Available on iTunes and the Google Play Store: http://bit.ly/ILMagApp   http://bit.ly/ILMagAppGoogle  Are you a #logistics Thought Leader that would like to be featured on the Inbound Logistics Podcast?  Connect with me on Twitter:  @ILMagPodcast Email me: podcast@inboundlogistics.com   Connect with Inbound Logistics Magazine on LinkedIn: www.linkedin.com/company/inboundlogistics Follow us on Twitter: www.twitter.com/ILMagazine Like us on Facebook: www.facebook.com/InboundLogistics Catch our latest videos on YouTube: www.youtube.com/inboundlogistics   Visit us at www.inboundlogistics.com

Tamra hosts RE/MAX TRU's Director of Agent Development in today's episode, to discuss what RE/MAX TRU has to offer, the advantages of a brokerage's reputation, and upcoming exciting events!

Sean serves the Central Ohio market as an agent but his primary occupation is a speaker. He started his company Sean Speaks in 2018, holding 55 speaking events in 2018 and 11 real estate sides. Licensed since 1998, Sean was an agent for 4 years, then managed a Coldwell Banker office for two. He then became Director of Agent Development for Ohio NRT Companies in Columbus and Cincinnati overseeing training and education for 1300 agents in Columbus and Cincinnati markets. Sean started speaking nationally in 2007, and in 2016, retired from a role with CB/NRT, jumped back into sales and took his speaking to a larger national audience. In today's episode, we discuss lessons that can be learned from spring and how they can be applied in a business context.  In this episode, you'll learn.. Spring Training Lent Daylight Savings Spring Cleaning Tend to your Garden Tax Time April Showers/Showings March Madness Spring Fever Links and resources mentioned in this episode. Twitter: @seancarp   Instagram: @seancarp  or @SeanCarpSpeaks To subscribe and rate & review visit one of the platforms below: Follow Real Estate Success Rocks on:  

Join Franke Joehl, Director of Agent Development at EXIT Realty Leaders and Tiffany Burgess, Broker/Owner of EXIT Magnolia Coast for their weekly Facebook Talkshow! This week Franke and Tiffany discussed the upcoming EXIT Realty Corp International Convention, 9 tips for real estate agents looking to start video marketing and some great video statistics that you want to be sure to check out! Be sure to tune in to Live with Franke and Tiffany on Thursday Nights at 7pm CT 8pm EST.

Join Tiffany Burgess, Broker/Owner of EXIT Magnolia Coast Realty and Franke Joehl, Director of Agent Development of EXIT Realty Leaders for their announcement of the upcoming project they are working on together!

Sean shares his philosophies on helping new and experienced agents build relationships, solve problems and have fun!