Podcasts about Tulu

KEFI Gold and Copper's (KEFI) annual report and accounts have been released for the year to December 2025, and the company's chairman, Harry Anagnostaras-Adams has taken the opportunity to update investors on progress at the Tulu Kapi project as well as in Saudi Arabia. The construction process is now well underway at Tulu Kapi, and the low projected cost per ounce means that annual EBITDA could run anywhere in the range of US$355 million up to nearly US$700 million. While construction is going on, though, serious exploration will once again resume, as the company attempts to prove that Tulu Kapi isn't just a one-off, but is in fact the first in a district-scale play. 

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Call/WhatsApp: +91 6364252164 Email: info@febaonline.org

Call/WhatsApp: +91 6364252164 Email: info@febaonline.org

Call/WhatsApp: +91 6364252164 Email: info@febaonline.org

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Call/WhatsApp: +91 6364252164 Email: info@febaonline.org ಲೂಕ-5:5 -ಅಪಗ ಸೀಮೋನು ಉತ್ತರ ಕೊರ್ದು ಆಯಡ - ಅಯ್ಯಾ ಇಡೀ ರಾತ್ರೆ ಯೆಂಕುಳು ಪೇಚಾಡಿಯ, ಯೆಂಕುಳೆಗ್ ದಾಲಾ ತಿಕ್ಕ್ ಜಿ, ಆಂಡಲಾ ನಿನ ಪಾತೆರದ ಮಿತ್ತ್ ಯಾನ್ ಬಲೆ ಬೀಪುವೆ ಇಂದೆ.

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Call/WhatsApp: +91 6364252164 Email: info@febaonline.org ಮತ್ತಾಯ 4:4 - ನರಮಾನಿ ರೊಟ್ಟಿ ತಿಂದ್ ಮಾತ್ರ ಬದುಕುನು ಅತ್, ದೇವೆರೆ ಬಾಯಿಯ್ಡ್ ಪಿದಾಡುನ ಒಂಜೊಂಜಿ ಪಾತೆರೊಡ್ದು ಬದುಕುವೆ ಅಂದ್ ದ್ ಬರೆತ್ಂಡ್.

Call/WhatsApp: +91 6364252164 Email: info@febaonline.org   ಮತ್ತಾಯ - 11:28, ಎಲೈ ಕಷ್ಟ ಬರ್ಪಿನಕುಲೇ, ಬಾರ ತುಂಬಿನಕುಲೇ, ನಿಕುಲು ಮಾತೆರ್ಲಾ ಎನ್ನ ಕೈತಲ್  ಬಲ್ಲೆ. ಯಾನ್ ನಿಕ್ಲೆಗ್ ವಿಶ್ರಾಂತಿ ಕೊರ್ಪೆ. ಕೀರ್ತನೆ 50:15_ಕಷ್ಟ ಕಾಲೊಡು ಎಂಕ್ ಪ್ರಾರ್ಥನೆ ಮಲ್ಪುಲೆ, ಬುಡ್ಪಾವೆ. ಅದಗ ಎನನ್ ಕೊಂಡಾಡುವರ್

Call/WhatsApp: +91 6364252164 Email: info@febaonline.org ಯೆರೆಮೀಯ - 18:6 - ಇಸ್ರಾಯೇಲ್ ವಂಶದಕುಲೇ, ಈ ಕುಂಬಾರೆ ಮಲ್ತಿಲೆಕ್ಕ ಯಾನ್ ನಿಕೆಲೆನ್ ಮಲ್ಪರೆ ಬಲ್ಲಿಯಾ? ಇಸ್ರಾಯೇಲ್ ಮನೆತನದಕುಲೆ, ಜೇಡಿ ಮಣ್ಣ್ (ಆವೆದ ಮಣ್ಣು,) ಕುಂಬಾರೆನ ಕೈಟ್ ಎಂಚನಾ ಅಂಚನೆ ನಿಕುಲು ಎನ್ನ ಕೈಟ್ ಉಲ್ಲರ್. ಕೀರ್ತನೆ- 139:16- ಯಾನ್ ನನಲ ಅಪ್ಪೆ ಬಂಜಿಡ್ ಉಂಟಾವೊಂದು ಉಪ್ಪನಗನೇ ನಿನ್ನ ಕಣ್ಣು ಎನನ್ ತೂತುಂಡು. ಎನ್ನ ಆಯುಷ್ಯ ಕಾಲದ ಸುರುತ ದಿನ ಸುರುವಾಪಿನ ದುಂಬೆ ಐತ ಮಾತ ದಿನೊಲ್ಲಾ ನಿನ್ನ ಪುಸ್ತಕೊಡು ಬರೆ ತ್೦ಡ್  

Call/WhatsApp: +91 6364252164 Email: info@febaonline.org ಕೀರ್ತನೆ 51:10 - ದೇವೆ ರೇ, ಎನಡ ಶುದ್ಧ ಹೃದಯೊನು ಮಲ್ತ್ ದ್, ಎಂಕ್ ಸ್ಥಿರಮನಸ್ ನ್ ಕೊರ್ದು ಯೆನನ್ ಪೊಸಬೆ ಆದ್ ಮಲ್ಪುಲೆ. ಯೆರೆಮೀಯ 17:9 - ಹೃದಯ ಮಾತೆಡ್ದ್ ಲಾ ಮೋಸ ಮಲ್ಪುನವು. ಗುಣ ಆವಂದಿ ಸೀಕ್ ಗ್ ಉಲಯ್ ಆದ್ ಉಂಡ್. ಅವೆನ್ ಯೇರ್ ತೆರಿದೆರ್. ಮತ್ತಾಯ 10: 26 ತೋಜಿದ್ ಬರಂದಿ ದೆಂಗ್ ನವು ಒಂಜಿಲಾ ಇಜ್ಜಿ, ಗೊತ್ತು ಆವಂದಿ ಮದೆತವುಲಾ ಇಜ್ಜಿ.

Call/WhatsApp: +91 6364252164 Email: info@febaonline.org   ಅಂಚೆನೆ ನಾಲಯಿಲಾ ಎಲ್ಲ್ಯ ಅಂಗ ಆದಿತ್ ದ್ ಬೂಟು ಪಾತೆರುಂಡು. ಎಲ್ಯ ತೂ ಏತ್ ಮಲ್ಲ ಕಾಡನ್ ಪೊತ್ತಾವುಂಡು. ನಾಲಯಿ ತೂಲಾ ಅನ್ಯಾಯದ ಲೋಕಲಾ ಆದುಂಡು. ನಾಲಯಿ ನಮ ಅಂಗಾಂಗೊಳೆಡ್ ಇತ್ ದ್ ಇಡೀ ಶರೀರೊಗುಲಾ ಕುರೆ ಪತ್ತಾವುಂಡು. ನರಕದ ತೂಡ್ಡು ಅರ್ಲುನವು ಆದ್ ಇಡೀ ಜೀವೊನು ಶೆಟ್ಟಾವುಂಡು. James 3:5-6 ಕೀರ್ತನೆ -39:1- "ಎನ್ನ ನಾಲಯಿ ಪಾಪೊಗು ಪೋವಂದಿಲೆಕ್ಕ ಜಾಗ್ರತೆಡ್ ಉಪ್ಪುವೆ. ದುಷ್ಟರ್ ಎನ್ನ ಎದುರು ಉಪ್ಪು ನಗ ಬಾಯಿಗ್ ಕೊಕ್ಕೆ ಪಾಡೊಂದುಪ್ಪುವೆ ಅಂದ್ ಎಣ್ಣುವೆ."

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Click HERE to watch the video of the Tulu Kapi opening ceremonyKEFI Minerals has hosted a ground-breaking ceremony at the Tulu Kapi gold project in Ethiopia. The ceremony was attended by the Ethiopian prime minister, the provincial governor, the British ambassador, and other assorted dignitaries. It marks the official commencement of construction at the Tulu Kapi project. KEFI's Harry Anagnostaras-Adams joins Vox to talk us through the implications and to outline what happens next.Watch the interview on YouTube

En esta emisión del viernes 13 de febrero de 2026, el informativo aborda los hechos más importantes de Colombia y el mundo, destacando temas de seguridad, emergencia climática, política, economía, salud pública y eventos culturales de alto impacto.También incluye el desarrollo de investigaciones judiciales, reportes del clima, advertencias de movilidad y cobertura de fenómenos naturales que afectan a varias regiones del país.En el ámbito político, el noticiero detalla el choque entre los candidatos presidenciales Abelardo de la Espriella y Juan Fernando Cristo, la tensión por la revisión del nuevo estado de emergencia económica en la Corte Constitucional, las amenazas a candidatos en el Quindío y la desinformación política enfrentada por la candidata Claudia Romero. También se analizan los efectos del escándalo judicial que rodea al presidente de Ecopetrol, Ricardo Roa, y las implicaciones en el mercado energético.En temas de orden público y seguridad, se destacan el secuestro del alcalde de Morales (Cauca), la desaparición de seis jóvenes en Mariquita (Tolima), el recrudecimiento del conflicto armado en El Carmen (Norte de Santander), capturas claves contra estructuras criminales del Clan del Golfo en Sincelejo, y la megaoperación que dejó 70 capturas en Tuluá tras la extradición de alias “Pipe Tuluá”. También se reporta la destrucción controlada de explosivos en zonas rurales de Antioquia.En el ámbito social y de emergencias, el noticiero cubre las graves inundaciones en Ayapel y Córdoba, los efectos del invierno en Bogotá con lluvias 160 % por encima del promedio histórico, y la asignación de recursos para fortalecer el transporte en salud en el Magdalena. Además, se confirma la primera eutanasia en el Huila a un docente con cáncer terminal.A nivel internacional, se informa sobre la llegada de ayuda humanitaria mexicana a Cuba, la crisis económica de la isla, el aplazamiento de la Ley de Amnistía en Venezuela, inundaciones históricas en Portugal y una nueva borrasca en España. También se menciona la decisión del gobierno de Estados Unidos, bajo Donald Trump, de eliminar normativas ambientales y detener operaciones migratorias en Minnesota.El noticiero también cubre deportes, cultura y entretenimiento, incluyendo la derrota histórica del Barcelona ante Atlético de Madrid en Copa del Rey, el inicio del Tour de la Provenza con la participación del colombiano Brandon Rivera, el Festival Ondas en Bogotá, la programación del Carnaval de Barranquilla, los conciertos de Alejandro Sanz en el Movistar Arena, y el reporte de precios de alimentos desde Corabastos, además de campañas solidarias para apoyar a los damnificados del invierno.Asimismo, se reportan temas de salud pública como el rebrote de viruela símica en Santander, casos de tosferina y recomendaciones sanitarias para la región.

KEFI Gold and Copper PLC (AIM:KEFI, OTC:KFFLF, FRA:KMSA) executive chairman Harry Anagnostaras-Adams talked with Proactive's Stephen Gunnion about closing the company's full US$340 million project financing following a US$20 million investment from Chancery Royalty, marking what he described as a confirmatory milestone rather than a fundamental change in strategy. Speaking from the Mining Indaba in Cape Town, Anagnostaras-Adams explained that bank approvals secured in October covered 70% of development capital, allowing KEFI to optimise the remaining equity components. He highlighted that the company structured the financing largely at the subsidiary level, reducing dilution at the parent company. The latest US$20 million funding was arranged as an “equity ranking royalty,” designed so that payments are only made when dividends are payable to shareholders. “A conventional royalty gets paid before operating expenses… this has been deliberately positioned so that it only gets paid when dividends can get paid,” he said, emphasising alignment with shareholder interests. The project, valued at approximately US$400 million, has been financed in a way that minimised equity dilution, including contractor arrangements that reduced capital requirements to US$340 million and the participation of a major development bank for US$240 million. Discussing valuation, Anagnostaras-Adams noted the stock has tripled over the past six months and said benchmarking against similar-stage gold companies suggests further potential upside, although he stressed that market movements are outside management's control. At Indaba, KEFI has been meeting contractors, capital providers, insurers and government representatives as mobilisation begins. “We've pressed the button, we're launching fully,” he said, describing activity across site locations and contractor hubs globally. For more interviews like this, visit Proactive's YouTube channel, give this video a like, subscribe to the channel and enable notifications so you don't miss future updates. #KEFIGold #GoldMining #ProjectFinance #MiningInvestment #GoldStocks #MiningIndaba #ResourceInvesting #RoyaltyFinance #CopperExploration #StockMarketNews

Colombia inicia la jornada con la extradición de alias Pipe Tuluá a una corte federal en Estados Unidos por delitos de narcotráfico. En paralelo, se desarrollan manifestaciones convocadas por el Pacto Histórico en respaldo al presidente Gustavo Petro, mientras el país enfrenta una compleja situación por las fuertes lluvias, con evacuaciones, inundaciones y alertas en varias regiones.See omnystudio.com/listener for privacy information.

See omnystudio.com/listener for privacy information.

KEFI Gold and Copper PLC's (AIM:KEFI, OTC:KFFLF, FRA:KMSA) executive chairman Harry Anagnostaras-Adams talked with Proactive's Stephen Gunnion about recent developments at the company's flagship Tulu Kapi gold project in Ethiopia and its growing presence in Saudi Arabia. Anagnostaras-Adams confirmed that while the $240 million debt facility was approved in October, formal documentation has now been signed, a step he described as significant for less-experienced investors. “To me, it was done last October… but there's probably a lot of shareholders out there who thought, well, now it's done,” he said, explaining the need for transparent and staged communication. He discussed the sequencing of financing, noting that securing debt before equity allowed for better terms and flexibility: “We convinced our banks to commit first… to bring more choices to the table at better pricing.” On the ground at Tulu Kapi, early infrastructure works are underway, including electricity connections and access roads, with bulk earthworks to follow resettlement. Fabrication of plant components is taking place offsite, and the project remains on track for mining to begin in 2027. Regarding Saudi Arabia, Anagnostaras-Adams highlighted the strong investment interest and hinted at new joint venture developments: “Another major is coming to be part of all of this.” For more insightful interviews, visit Proactive's YouTube channel. Don't forget to like this video, subscribe to the channel, and turn on notifications for future content. #KEFI #GoldMining #TuluKapi #MiningInvestment #EthiopiaMining #SaudiArabiaMining #JuniorMiners #MiningFinance #GoldProjects #MiningDevelopment #DebtFunding #EquityMarkets #FutureMineralsForum

Resumen informativo con las noticias más destacadas de Colombia y el mundo del jueves 18 de diciembre 9:00am.

Send us a textYael Shemer is the Co-founder and CCO at TULU. Last week TULU announced a Big Series A round of funding. TULU is in growth mode and they have BIG goals for 2026. I'm Moshe Crane connect with me on LinkedIn. My day job is the VP of Branding and Strategic Initiatives at Sage Ventures. Check out my newsletter Curious Deal.Sage Ventures is a commercial real estate firm based in Baltimore, MD. The company buys and operates multifamily rental properties. We know have a portfolio of self-storage and office deals. The company also builds and develops homes that we sell.

Yael Shemer was a community builder before she cofounded TULU. In this episode, she shares how she built her real estate tech startup from three buildings to over 400 globally in seven years. She discusses pivoting from B2C to B2B and managing the chaos of rapid scaling. You will also learn about her unconventional journey from environmental activist and waitress to tech founder, learning to leverage her authenticity and community organizing skills as strengths rather than viewing them as limitations.

El futbolista relató lo sucedido con un camión de caballos de su propiedad que se volcó en la vía Tuluá

We first had Nathan on to give us his RLHF deep dive when he was joining AI2, and now he's back to help us catch up on the evolution to RLVR (Reinforcement Learning with Verifiable Rewards), first proposed in his Tulu 3 paper. While RLHF remains foundational, RLVR has emerged as a powerful approach for training models on tasks with clear success criteria and using verifiable, objective functions as reward signals—particularly useful in domains like math, code correctness, and instruction-following. Instead of relying solely on subjective human feedback, RLVR leverages deterministic signals to guide optimization, making it more scalable and potentially more reliable across many domains. However, he notes that RLVR is still rapidly evolving, especially regarding how it handles tool use and multi-step reasoning.We also discussed the Tulu model series, a family of instruction-tuned open models developed at AI2. Tulu is designed to be a reproducible, state-of-the-art post-training recipe for the open community. Unlike frontier labs like OpenAI or Anthropic, which rely on vast and often proprietary datasets, Tulu aims to distill and democratize best practices for instruction and preference tuning. We are impressed with how small eval suites, careful task selection, and transparent methodology can rival even the best proprietary models on specific benchmarks.One of the most fascinating threads is the challenge of incorporating tool use into RL frameworks. Lambert highlights that while you can prompt a model to use tools like search or code execution, getting the model to reliably learn when and how to use them through RL is much harder. This is compounded by the difficulty of designing reward functions that avoid overoptimization—where models learn to “game” the reward signal rather than solve the underlying task. This is particularly problematic in code generation, where models might reward hack unit tests by inserting pass statements instead of correct logic. As models become more agentic and are expected to plan, retrieve, and act across multiple tools, reward design becomes a critical bottleneck.Other topics covered:- The evolution from RLHF (Reinforcement Learning from Human Feedback) to RLVR (Reinforcement Learning from Verifiable Rewards)- The goals and technical architecture of the Tulu models, including the motivation to open-source post-training recipes- Challenges of tool use in RL: verifiability, reward design, and scaling across domains- Evaluation frameworks and the role of platforms like Chatbot Arena and emerging “arena”-style benchmarks- The strategic tension between hybrid reasoning models and unified reasoning models at the frontier- Planning, abstraction, and calibration in reasoning agents and why these concepts matter- The future of open-source AI models, including DeepSeek, OLMo, and the potential for an “American DeepSeek”- The importance of model personality, character tuning, and the model spec paradigm- Overoptimization in RL settings and how it manifests in different domains (control tasks, code, math)- Industry trends in inference-time scaling and model parallelismFinally, the episode closes with a vision for the future of open-source AI. Nathan has now written up his ambition to build an “American DeepSeek”—a fully open, end-to-end reasoning-capable model with transparent training data, tools, and infrastructure. He emphasizes that open-source AI is not just about weights; it's about releasing recipes, evaluations, and methods that lower the barrier for everyone to build and understand cutting-edge systems. Full Video EpisodeTimestamps00:00 Welcome and Guest Introduction01:18 Tulu, OVR, and the RLVR Journey03:40 Industry Approaches to Post-Training and Preference Data06:08 Understanding RLVR and Its Impact06:18 Agents, Tool Use, and Training Environments10:34 Open Data, Human Feedback, and Benchmarking12:44 Chatbot Arena, Sycophancy, and Evaluation Platforms15:42 RLHF vs RLVR: Books, Algorithms, and Future Directions17:54 Frontier Models: Reasoning, Hybrid Models, and Data22:11 Search, Retrieval, and Emerging Model Capabilities29:23 Tool Use, Curriculum, and Model Training Challenges38:06 Skills, Planning, and Abstraction in Agent Models46:50 Parallelism, Verifiers, and Scaling Approaches54:33 Overoptimization and Reward Design in RL1:02:27 Open Models, Personalization, and the Model Spec1:06:50 Open Model Ecosystem and Infrastructure1:13:05 Meta, Hardware, and the Future of AI Competition1:15:42 Building an Open DeepSeek and Closing Thoughts Get full access to Latent.Space at www.latent.space/subscribe

Chapters 00:00:00 Welcome and Guest Introduction 00:01:18 Tulu, OVR, and the RLVR Journey 00:03:40 Industry Approaches to Post-Training and Preference Data 00:06:08 Understanding RLVR and Its Impact 00:06:18 Agents, Tool Use, and Training Environments 00:10:34 Open Data, Human Feedback, and Benchmarking 00:12:44 Chatbot Arena, Sycophancy, and Evaluation Platforms 00:15:42 RLHF vs RLVR: Books, Algorithms, and Future Directions 00:17:54 Frontier Models: Reasoning, Hybrid Models, and Data 00:22:11 Search, Retrieval, and Emerging Model Capabilities 00:29:23 Tool Use, Curriculum, and Model Training Challenges 00:38:06 Skills, Planning, and Abstraction in Agent Models 00:46:50 Parallelism, Verifiers, and Scaling Approaches 00:54:33 Overoptimization and Reward Design in RL 01:02:27 Open Models, Personalization, and the Model Spec 01:06:50 Open Model Ecosystem and Infrastructure 01:13:05 Meta, Hardware, and the Future of AI Competition 01:15:42 Building an Open DeepSeek and Closing Thoughts We first had Nathan on to give us his RLHF deep dive when he was joining AI2, and now he's back to help us catch up on the evolution to RLVR (Reinforcement Learning with Verifiable Rewards), first proposed in his Tulu 3 paper. While RLHF remains foundational, RLVR has emerged as a powerful approach for training models on tasks with clear success criteria and using verifiable, objective functions as reward signals—particularly useful in domains like math, code correctness, and instruction-following. Instead of relying solely on subjective human feedback, RLVR leverages deterministic signals to guide optimization, making it more scalable and potentially more reliable across many domains. However, he notes that RLVR is still rapidly evolving, especially regarding how it handles tool use and multi-step reasoning. We also discussed the Tulu model series, a family of instruction-tuned open models developed at AI2. Tulu is designed to be a reproducible, state-of-the-art post-training recipe for the open community. Unlike frontier labs like OpenAI or Anthropic, which rely on vast and often proprietary datasets, Tulu aims to distill and democratize best practices for instruction and preference tuning. We are impressed with how small eval suites, careful task selection, and transparent methodology can rival even the best proprietary models on specific benchmarks. One of the most fascinating threads is the challenge of incorporating tool use into RL frameworks. Lambert highlights that while you can prompt a model to use tools like search or code execution, getting the model to reliably learn when and how to use them through RL is much harder. This is compounded by the difficulty of designing reward functions that avoid overoptimization—where models learn to “game” the reward signal rather than solve the underlying task. This is particularly problematic in code generation, where models might reward hack unit tests by inserting pass statements instead of correct logic. As models become more agentic and are expected to plan, retrieve, and act across multiple tools, reward design becomes a critical bottleneck. Other topics covered: - The evolution from RLHF (Reinforcement Learning from Human Feedback) to RLVR (Reinforcement Learning from Verifiable Rewards) - The goals and technical architecture of the Tulu models, including the motivation to open-source post-training recipes - Challenges of tool use in RL: verifiability, reward design, and scaling across domains - Evaluation frameworks and the role of platforms like Chatbot Arena and emerging “arena”-style benchmarks - The strategic tension between hybrid reasoning models and unified reasoning models at the frontier - Planning, abstraction, and calibration in reasoning agents and why these concepts matter - The future of open-source AI models, including DeepSeek, OLMo, and the potential for an “American DeepSeek” - The importance of model personality, character tuning, and the model spec paradigm - Overoptimization in RL settings and how it manifests in different domains (control tasks, code, math) - Industry trends in inference-time scaling and model parallelism Finally, the episode closes with a vision for the future of open-source AI. Nathan has now written up his ambition to build an “American DeepSeek”—a fully open, end-to-end reasoning-capable model with transparent training data, tools, and infrastructure. He emphasizes that open-source AI is not just about weights; it's about releasing recipes, evaluations, and methods that lower the barrier for everyone to build and understand cutting-edge systems. It would seem the

La senadora Isabel Zuleta confirmó en La W que fue gracias a la colaboración de alias ‘Pipe Tuluá' que se encontró el arma.

Este hecho habría ocurrido dentro de la cárcel La Picota y estaría relacionado con integrantes del Tren de Aragua.

#vinayakjoshi #kannadainterviews #podcast In this continuation of our enlightening conversation with Vaishnavi Murthy - type director, script researcher, and cultural revivalist - we delve deep into the rich linguistic and cultural heritage of Tulu, a language spoken across the coastal belt of Karnataka.

#vinayakjoshi #kannadainterviews #podcast In this fascinating two-part episode of Nayaka With Vinayaka, we're joined by Vaishnavi Murthy - type director, manuscript conservator, and researcher in linguistic scripts. Her work uncovers the deep, often forgotten layers of India's linguistic and cultural heritage.

As the property management industry continues to evolve, it's important to stay up to date on the latest innovations in technology. In this episode of the #DoorGrowShow, property management growth expert Jason Hull sits down with David Normand from Vendoroo to talk about AI's role in the future of property management. You'll Learn [01:29] The AI Revolution [08:47] The Importance of Empathy and Human Touch [22:21] Decreasing the Cost of Maintenance Coordination [32:29] New Features Coming to Vendoroo Quotables “As any property manager believes, we know how to do it the best.” “If you're not reading articles and studying up on this, I think that's going to catch you by surprise pretty quickly.” “Empathy is the magic lubrication that makes everything better.” “Empathetic reflection and empathy is a magical ingredient.” Resources DoorGrow and Scale Mastermind DoorGrow Academy DoorGrow on YouTube DoorGrowClub DoorGrowLive Transcript [00:00:00] David: If you're not building AI tools from working with your partners, from being on the ground floor with them and using the data and building tools based upon the data and their pain points and their failures, buyer beware. If somebody's coming to you and saying, Hey, we figured this all out in the lab. [00:00:14] David: Come use it. Yeah. Right. Buyer beware. [00:00:18] Jason: All right. Welcome property management entrepreneurs to the DoorGrow Show or the Property Management Growth podcast. I'm Jason Hull, the founder and CEO of DoorGrow, the world's leading and most comprehensive group coaching mastermind for residential property management entrepreneurs. We've been doing this for over a decade and a half. [00:00:39] Jason: I've brought innovative strategies and optimizations to the property management industry. I have spoken to thousands of property management companies. I've coached over 600 businesses. I've rebranded over 300 companies like Bar Rescue for property managers, cleaning up their businesses, and we would love to help coach you and support you and your growth. [00:01:01] Jason: We have innovative strategies for building out growth engines, for building out your operational challenges, for helping you figure out how to get to the next level in your business and one of the cool tools that I'm excited to showcase today with my guest here, David Norman, is Vendoroo. We've had you on the show before. [00:01:19] Jason: Welcome back David.  [00:01:20] David: Yeah. Thank you for having me. It felt like years ago, it was only about, I think eight months ago since we did this, so much has changed over the time, so it's great to be back. Yeah, it's great to be back.  [00:01:29] Jason: Good to have you. I know you're in the middle of this AI revolution, which AI is just innovating and changing so rapidly. It probably does feel like years ago, so, yeah. Yeah. Yeah. It's been crazy. You guys have made a lot of changes too, so, you even changed your brand name from the last time we had you on the show. Yeah. Which was I think Tulu. Yeah. Right. And so, yeah. So why don't you get us caught up on what's going on 'cause, you know, there's been a lot.  [00:01:55] David: Yeah. Yeah. Thank you first of all for having me here today, Jason, and from the entire Vendoroo group of us, which, you know, the team has grown 10 x over the past eight months, which has been awesome. And I just also wanted to start in thanking everybody from what we call our client partners who have jumped in into this great unknown that is AI and is going to be like, how is this going to work in our industry? And so that's really what we've been focusing on the past eight months. You know, it's been a unbelievable journey of both failures, successes learnings and insights. And ultimately we're getting excited here at the NARPM broker owner which is in Denver to unveil Vendoroo. Like this is the coming out party. And so we're super excited if you're going to be there. We have a massive booth that we have set up that we have the ai alliance with other people that are working in the AI space, and I really hope that you guys come over and check it out. I promise this. [00:02:53] David: You'll never see a booth or a display like we have set up. At the NARPM broker owner. So.  [00:02:58] Jason: Now I want to go attend it. Yeah. Just so I can see your booth.  [00:03:01] David: So, let me put it this way. You may see the robot from the Jetsons walking around the booth walking around the NARPM broker owner, so, okay. [00:03:07] David: Yeah. Rosie? Yeah. You may see something like that. So she'll be vacuuming with her apron? Yeah. She'll be doing a little social engagement. It'll be cool. So, okay. Okay.  [00:03:17] Jason: Yeah. Very cool. Yeah, so catch us up on what, like, let's get into the kind of the background and the overview for people that have never heard about Vendoroo and what you guys do and how you got into this. [00:03:29] Jason: Yeah. Give people kind of the backstory. Yeah.  [00:03:31] David: Yeah. Thank you for that. So really the backstory is that, you know, we know of this AI economy that's coming, right? And there was a few of us, you know, I've been in this industry for 18 years. You know, I've managed you know, portfolios of 40,000 doors. [00:03:47] David: I've managed them for governments. You know, I started off with our own property management. Much like you guys. We started off with 80 doors. We grew to 550 doors in four years. So it was exciting to know that technology that was coming that promised duplication because, you know, as any property manager believes, we know how to do it the best, right. [00:04:05] David: And so what we decided to do is to come together and say, Hey, if AI's coming, there's two things that we need to figure out. Number one is how is this going to help us show value in this new industry to this new generation of property owners that is here, that is coming, that has been raised in the technology world too, right? [00:04:25] David: And two, can it actually duplicate our efforts? Can it actually be an employee for us? Right? And I don't care what people are promising about ai, you don't know until you get into what we call like, you know, get into the weeds, you got to get into the trenches. And so that's what we did, right? We went out and we were the guys that grabbed the torch and we said, we are going to take all the risk. [00:04:46] David: We are going to jump into the mix. We're going to ask people to jump onto the bandwagon with us and we're going to figure this out. And oh my gosh, what an unbelievable eight months it has been in learning and insights. And I can't wait to get into all the things that we've learned about the property management industry. [00:05:01] David: But that's really what we've been focusing on here the past eight months, right? So we started off with well hey, can the AI assist the va? Can it turn them into a super va? Is that what it's going to be? And, you know, some people were like, yay. And some people were like nay, you know? And so, and you know, because that human failure still was there, right? [00:05:21] David: And you know, what happens if they left? There was that inconsistency. And then it was like, all right, well what can the AI own? Right? What can it do? What can it perfect? And you know, can AI actually be the last employee that I ever hire? Right. That's really, that's a really cool thing to do. [00:05:39] David: But the property managing community had some really specific demands that they said that if this is going to be the last employee that I've had, it has to do this. And that's what I'm excited about our new technology 'cause it's doing those things. You know? [00:05:52] Jason: Yeah. And now you guys have made some big moves. I know, like I've, I have clients that we've sent over to you and they've shared some incredible stories. Like one client, I think he had 154 units or something like under management, and he said in the first day you're of turning on Vendoroo, like it closed out like 80 something work orders. [00:06:12] Jason: Yeah, like, it was crazy. Another client, they had a little more doors. They said it was like 50 something work orders were closed out in the first day of turning it on. And so, I mean, you're creating some dramatic stuff. Like this is a very different thing than what people are used to in maintenance. [00:06:27] David: Yeah. Yeah. And really what the exciting part about this, Jason, is that maintenance is actually really easy. And I know people laugh when I say that it's managing communications that is extremely difficult. Okay. Okay. Right, because you have, you know what AI told us about our industry over the last eight months is when we dove in with it and it took a step back and it said, whoa, you guys don't have a data problem here. [00:06:51] David: You guys have a emotion problem here. There's very specific categories of emotion that are in this space, right? Like, how do you build a technology that senses something? And I know this relates with property managers, 'cause I know this for myself. A property manager can walk into their office, sit down at their desk, and their spidey senses go off and they know something's wrong. [00:07:15] David: There's no screen that's telling them anything. There's no spreadsheet. They know something's off. Right. And so the AI is like, well, the statuses really don't matter that much to me based upon the feedback that I'm seeing from the property managers. Because the status and the communication all seem to be in order, but there's a disruption somewhere. [00:07:35] David: So I need to know about people's emotions. I need to understand about is the resident happy? Does the owner feel supported? Is the vendor being directed? And does the property manager believe that I can own the outcome for this? And it was really cool to start seeing its learning and understanding and picking up on these cues where, you know, people say that this is a data-driven industry. [00:07:55] David: It's really in an emotion driven industry.  [00:07:57] Jason: Oh yeah. It's a relationship and emotion industry for sure. Yeah. Yeah, big time.  [00:08:01] David: And it's really cool to see, and it's really started happening over this past last 60 days, the amount of residents, I was actually just looking at one before I jumped on here, that are like thanking the system, right? [00:08:15] David: Imagine that, like think of all of us that actually worked with the chat bot at like Verizon. I've never thanked that chatbot at Verizon for being their customer service. Right.  [00:08:25] Jason: And how do I get a representative? Representative. Representative!  [00:08:28] David: Yeah. Yeah, for sure. Versus you seeing people, you know, seeing individuals saying to the, you know, saying to the Vendoroo maintenance coordinator, Hey, I really appreciate feeling supported and how fast you acted because you know, there's empathy that's inside of its law and learning. So I don't want to get too much into the details on there. But yeah, these are some of the exciting things that we're working on.  [00:08:47] Jason: I mean, empathy is the magic lubrication that makes everything better. [00:08:52] David: Yeah,  [00:08:52] Jason: I mean they, they've done studies. Teams, even in working in warehouses, are more productive if the team has a higher level of empathy. Yeah. And doctors perform better. Yeah. If there's a higher level of empathy, there's less malpractice suits, like empathetic reflection and empathy is a magical ingredient. [00:09:10] Jason: I coach clients to add that in during sales. Yeah. 'cause their close rate goes up dramatically. Yeah. Right. So yeah. So leveraging and like getting the AI to actually be empathetic in its communication. Yeah. When that's probably not a natural skill for a lot of maintenance coordinators to be empathetic. [00:09:26] David: It's not, it's not a natural skill for a lot of people in the maintenance industry. Right? Yes. Especially when you talk about burnout. People begin developing views of the rental community, right? Like, oh my gosh, they're calling again, and that empathy meter goes lower and lower and lower. [00:09:41] David: Yeah. As people have been in the industry longer. But isn't it great that you have an employee now that knows that, yeah, it's my duty, rain or shine, 24 hours a day, seven days a week, 365 a year to always operate at the highest level of empathy? I never have a bad day. I never take a day off. [00:09:57] David: I'm never upset. I'm never short with somebody on the phone, never tired, never like, oh my gosh, Susan is calling me again. I'm going to let the phone just ring because I'm annoyed of talking to her. And it just is constantly hitting that same level of standard. And this is what's exciting to me, is that there are people that that have played around with this and have been a part of what I call the pain phase, right? [00:10:20] David: The pain phase is that understanding the way that agentic AI works, right? It's input in output. Input, output, right? The more that you're putting into it, the better the results are that you're going to get out of it, okay? Right. It's just like training an employee. So over the last eight months, what we've seen is that the community has trained this to be the level of a person that has now been working in the industry for five years. [00:10:46] David: In eight months. It's got five years of learning in eight months. Okay. Wow. In the next six to 12 months, we're probably looking at somebody that has 10 to 15 years understanding in the next six to 12 months and understand the level of type of tasks that it can do, especially getting into estimates and getting some other work. [00:11:04] David: And again, just you know, having empathy in my own life towards the people that jumped in that are like, what is this all about? Like, how does AI fail? Like, you know, there's still people that are involved and it was like this big like momentous train of like, you know, all these people were jumping on and giving ideas and people are in the loop and now it's weeding everything out and the AI stepping in and saying. [00:11:27] David: Hey, I appreciate all the input that you've given me. Thank you for all your effort. I'm now ready to step up to the plate and to own the outcome. Right. And that's what we're seeing at the NARPM show that's coming out. There's five AI tools. There's a master agent, five AI tools. And you know, I'll give you a couple of pieces here that, you know, we had feedback from our property managers like number one across the board. [00:11:50] David: A property manager said, if I'm hiring AI as my last employee, that has to work in my system. Yeah. Okay. Right. Like I don't want another, I don't want another technology. Yeah.  [00:11:59] Jason: I don't want a new system I got to get every vendor to use or a new system I got to get my team to use or figure out. We don't need another tool to make our lives more difficult. [00:12:08] Jason: No. They've got to use our stuff.  [00:12:09] David: They got to use, we have our existing stack. Yeah. So now the AI is fully integrated into all the most common PMS systems. You know, you have a cool chrome extension that you can download and there's a little yellow kangaroo right right there. And it's actually reading the work order that you're working on, and you can literally just ask it a question now and just being like, Hey, did anybody express frustration or concern on this work order? [00:12:32] David: Right? Because that's the emotion behind the status that you need to know. And it's like, yeah, two days ago Sally said that, you know, she was actually really frustrated about the multiple reschedules by this vendor. And it's like, great, that's a person I should be reaching out to and that's what I should be knowing that a status is never going to tell you. [00:12:47] David: Right? Yeah. It's in your slack, right? So if I have, if I'm on my phone, I'm talking to my employee and I'm laying in bed and I have a panic attack as a property manager, and I'm like, oh my gosh, did we take care of John's refrigerator and the office is closed? I can't get ahold of my employee. Yeah, you can. [00:13:03] David: Your employee works 24 7 now. Hey, can you give me an update on the refrigerator replacement at John's place? Yeah, it was scheduled this day. I contacted John. Everything's good to go. You know, go to sleep. You know, like, like that's the power. Full audit. Full syncing. So it's in your platform. That's really cool. [00:13:21] David: The other thing, it's got to be branded, right? This is a thing that we really learned about, like how important branding is to the community of property managers, right? Yeah. So the communications that go out have to be from your area code that's done. The emails that go out have to have like, you know, your company name and your logo on it. [00:13:39] David: The AI is doing that as well too. So that's being sent out, which is really cool. So people are feeling like, you know, that loyalty to brand is super important. And also do you know now that the AI can ask the residents to give a Google Review and we can link to the Google reviews and give you instant Google reviews to your page through the ai, which is cool, like how it's, it will know that if the success of a Google review is high on the way that the work order was done, that it's probably best to ask this person and it will send them a little thing. [00:14:11] David: Hey, can we get a feedback from you? And we link up to your Google review. And it posts that Google review to generate those 'cause we know those are super, super valuable to property managers. So that's actually going out today. That's kind of a little teaser there. That's the emails out now. [00:14:23] Jason: Nice. We'll have to get you to also connect it to our gather kudos links for clients 'cause then people can pick which review sites. So it diversifies the review profile.  [00:14:32] David: Love it. Love that. I'm going to hook you up with our guy Dotan. He's running that. He's one of our head of product. He's, actually out of Israel. [00:14:39] David: He's a amazing guy. I'd love to get you connected with him. Yeah. Cool. Let's do it. Cool. And then the biggest one too is like, I need a single point of contact. Right. And we knew that before there was a lot of people were still involved. There was a lot of oversight that was going on there, having that confusion and single point of contact. [00:14:56] David: Now it's in your phone, it's in your Slack, it's in your phone extension. It doesn't matter what's going on. You have one point of contact. It's your employee. You ask the question, get the answer, Jason, you can even ask for a change. You can even say, Hey, I want to change a vendor on a job and you'll see that the vendor gets changed for you in the system. [00:15:17] David: You can even say to your ai, and this is the big one: hey how do you triage this work order? And I want you to do this, or I want you to do that. And you just do it right through Slack or right through your PM chat and it makes the change for you. And now you have custom triage and all property managers have the ability to train their own AI for their company. [00:15:36] David: Think how cool that is. A person with 75 doors now, and the product that's being released has their own AI agent customized for their company, right? Yeah. Like, that's what happened over the last eight months, so you can see my excitement. There's been a lot of hard work in this. [00:15:54] David: Yeah, that's amazing. But this has been all the effort and a huge thank you out to everybody who's tried us, you know, even said that this wasn't for them at that point in time because those learnings went into what's going to make this product the best product in the property management space and is going to help people leverage sales and leverage efficiencies and blow their owners' minds away in ways that, that we have never thought about. [00:16:15] David: Oh yeah.  [00:16:16] Jason: Yeah. So I know like initially when you rolled this out, a lot of people were nervous about AI and you guys had kind of a human layer in between the AI and any communication Yeah, initially. Yeah. And so there was like, they had like a reps and a lot of people associated, oh, I've got this rep. [00:16:33] Jason: Yeah. You know, Steven or whatever is my rep or Pedro and I've got Pedro and like, oh no, what if Pedro leaves? And they were associating with that while the AI is really doing the crux of the work. Right. And so you guys have shifted away from even that now the AI is directly communicating with people. [00:16:52] Jason: Correct? Yeah.  [00:16:53] David: Yeah. So let's talk about that. So, definitely, so in the beginning there was like, we all had like lack of trust. We believed what it was going to do, but it was like we had a ton of people still trying, like, you know, using qualified VAs, training them. Like, you know, like, you know, if it fails, like, you know, you have to have a person stepped in and so let's talk about that. [00:17:12] David: So, you know, it was definitely that human layer. And let's talk about where we're at today. It is very clear to us, and the one thing that separates us from everybody is we still believe that humans are super important in this process. Okay? Yeah. And where humans are very important in this process are going to be when the AI says, Hey, I need you to make a phone call to this person for me, right? [00:17:35] David: Hey, I've reached out to this vendor three times and they haven't responded yet. I need you to give a phone call to see what's going on. Right? Hey, I need you to recruit a vendor for me. I need you to reach out and do a recruitment for the vendor. For me. Hey, this owner is asking questions about this estimate. [00:17:51] David: I need you to give a call for me. So the AI is basically able, on a standard work order, the AI can handle 95% of the workflow, no problem. Work order comes in, gets assigned to the resident. It gets out to the vendor. It's under the NTE not to exceed. It's great. The work gets done, the resident uploads its photos, the AI says to the resident, are you happy? [00:18:14] David: Everyone's good. It closes the work order out. Cool. Right. And then if a human...  [00:18:19] Jason: and how is it communicating with the tenant and with the vendor typically? [00:18:24] David: Yep. So, it's very clear that and this isn't a surprise to anybody. Everybody loves text messages, right? Yeah. I mean, that's just, it's just what it is. [00:18:32] David: You literally, like, people will get a phone call and they won't pick up and the text will come back and like text back. Yeah, text me. What do you need? Yeah. Text me here. But, so here's the things that people don't see behind the scenes that we'll talk about. So the complexity that went into. [00:18:51] David: Mapping out how to allow vendors... so a vendor could have like 20 jobs, right? And we don't want to send him like a code that he has to text for every work order so that it links to the right work order. Like what guy wants to do that? Okay. Like that's not how he works. So we figured out how to allow a vendor through AI just to use his regular phone and text anything about this thing. And it's understanding it and it's mapping it, it's routing it to all those work orders because we knew that in order for this to be the last employee somebody would have to handle, it also means that the vendor has to be happy and the same for the resident. [00:19:30] David: They can just text that they have multiple work orders. It understands what work order it's going to. If it's not quite sure, I would ask them, Hey, is this question about this work order? And they say, yeah. And so there's not like, again, codes and links and things that they have to do. It has to be seamless if they're working with a person. [00:19:46] David: So yeah, text message is massive. Email is second, and then phone is third for sure.  [00:19:51] Jason: Got it. So is your AI system calling people yet or you or telling the property manager to make the phone call?  [00:19:58] David: Yeah. People are okay with. If they're calling in like our new front desk agent, which if a person calls in and they want to get information about a listing or if they want to get information about a work order or something like that, or, you know, they're okay with getting that type of information. [00:20:13] David: Yeah. But they are, it is very clear that they are not okay with AI calling them when they're asking for an update on a work order like that. Like that line in the sand very clear. Yeah. And so we have people on on the team. That are constantly monitoring into ai, giving feedback, hitting improvement. [00:20:31] David: I want everybody to know there is not a work order that is taking place that is not touched by a human at least twice.  [00:20:38] Jason: Okay.  [00:20:39] David: Okay. Right.  [00:20:40] Jason: So there's a little, there's some oversight there. There there's, you're watching this, there are humans involved  [00:20:45] David: And then the ai will when it hits certain fail points, right? [00:20:51] David: It then escalates those things up to what we call the human in the loop, right? So there's an AI assistant, we there's people now that we're training a whole new generation of people that are no longer going to be maintenance coordinators. They're AI assistants now, right? And so when the AI says, Hey, this work order is not going down the path that I think it should go to be successful. [00:21:12] David: I'm escalating this up to a human, and so now as a property manager, not only am I getting this AI agent workflow that's standardizing the empathy and the workflows and all the stuff that we talked about in the communications, I also now get a fractional employee that when the AI says, Hey, I need help, I already have an employee that it can reach out to that can make that phone call or call the vendor. [00:21:36] David: But it's also monitoring the AI for me on top of it. So yes, there is, and that's one of the big thing that separates us apart is that the platform comes with what we call a human in the loop, an expert in the loop and so we're training the first generation of AI assistants in the property management industry. [00:21:55] David: Yep.  [00:21:56] Jason: Got it. So the AI maintenance coordinator. Has human assistance. Yep. Underneath it.  [00:22:02] David: And before it was the other way around where Yeah. The AI was assisting the human right. And now the humans are assisting the ai. That's what's happened in the last...  [00:22:11] Jason: that may be the future of all of our roles. [00:22:12] Jason: So,  [00:22:13] David: If you're not reading articles and studying up on this I think that's going to catch you by surprise pretty quickly. Yeah. Learn how to write prompts. I'll tell everybody right now. Yes.  [00:22:21] Jason: Yeah. Interesting. So, now what about this, you know, there's the uncanny, you know, sort of stage where people get a little bit nervous about AI and what do they call it? The uncanny valley or something like this, or right where it gets, it's so close to human that it becomes creepy. And there's some people that have fear about this, that are concerned. You're going to have a lot of late, you know, adopters that are like resistant. "I'll never do ai." [00:22:49] Jason: What would you say to somebody when you get on a sales call and they're like, well, I'm really nervous about this AI stuff, you know, and they just, they don't get it.  [00:22:57] David: Yeah.  [00:22:58] Jason: I'm sure there's people listening right now. They're like, oh man, AI is going to kill us all and it's going to take over the world and it's going to take our jobs. [00:23:05] Jason: And they think it's evil.  [00:23:06] David: Yeah. Yeah. I, and you know, I really want to hear that fear and I want to like, again, have empathy towards that. 'cause I do understand that fear of change causes people to get... Change in general. Yes. Right. It's like, whoa, I like everything the way it's going to be. Right. And we are historically in one of those phases of like, you know, the industrial revolution, the renaissance, like the automobile from horse. [00:23:34] David: Like, this is what is taking place. This is, this will be written down in history. It's massive change. It's a massive change. Massive. So what I would say to them, and not to, not from a way of fear. But to inspire them is there are a lot of hungry entrepreneurs out there that are embracing this head on. [00:23:57] David: Yeah. That are pushing the boundaries and the limits to be able to bring insights and customer service to their clients at a much higher level. And if you want to compete in this new AI economy. I would definitely encourage you to understand and get in and start investing in yourself now. But understand that investing in AI means having some pain threshold. [00:24:21] David: Like you got to get in, like you, you need to be able to give the feedback. You need to understand that if it falls short, do you have to be able to give it the time and the energy and the reward and the payoff of what I'm seeing for property managers who've embraced that when they're sitting there and they're going, I don't touch maintenance at all anymore. Yeah, it's wild. Right? And those are the people that in the beginning of this relationship, and there's a few that come to my head, are the ones that were sending me emails constantly saying, David, this is failing me. I believe in this, but this is failing me. And as my technology partner, I know that you're going to help us get this better. [00:24:58] David: And there is, you know, I have this word down that struggle equals great con conversation, right? Like, and so they had a struggle and that opened up a great conversation and because of that, their technology and the technology is getting better. So yeah, I think that from a personal point of view in this industry, one thing that I want to solve with AI is I think that we can all say that over the past 15 years, we've probably yelled at a lot of vendors or yelled at a lot of VAs or yelled at a lot of people. Let's start yelling at the ai. And then hopefully that the AI will actually eliminate the need for us to ever have to yell at anybody again because it knows us. [00:25:36] David: Yeah. It never fails us.  [00:25:38] Jason: You know? It really is amazing. I mean, your company is creating freedom for the business owner from being involved in maintenance. Yeah. Really?  [00:25:46] David: Yeah.  [00:25:47] Jason: And it just, and they get used to that pretty quickly. Like maintenance is just running and they're like, yeah. It frees up so much head space for them to focus on growth. [00:25:56] Jason: It gives them a whole bunch of like just greater capacity. Yeah. So they feel like, yeah, we could handle adding any number of doors now and we know we can still fulfill and do a good job.  [00:26:07] David: Yeah. Fixed cost scaling. Right? That's a term that we came up with is now that you know that I have a price per door that will cover all my maintenance. So if I went in and brought on 75 doors, I know that I don't have to go out and hire another employee. The system just grows with it and I know exactly what my margin is for all those doors. Right. And as we know previous, before fixed cost scaling a property managers is like, I have enough people. [00:26:32] David: I don't have enough people. Someone quit, someone didn't quit. My profit margins are good. My profit margins are bad. Yeah. And now with these AI tools. You know, you have your front desk employee, you have your maintenance coordinator, you have these fixed cost scales, and now somebody calls you up and says, Hey, I want you to take on 25 doors, and you're like, I have the resource resources for maintenance, which is, we know is 80% of the workload already. I don't have to go out and hire another maintenance coordinator 'cause the system just grows with me, which is cool.  [00:27:00] Jason: So one of the things you shared at DoorGrow Live and you're our top sponsor for the upcoming... Can't wait for DoorGrow Live, can't wait to, so we're really excited to have you back so. [00:27:10] Jason: Everybody make sure you're at DoorGrow Live if you want. Our theme this year is innovating the future of property management. And we're bringing, we're going to be showcasing, innovating pricing structures that are different than how property managers have typically historically priced, that allow you to lower your operational costs and close more deals more easily at a higher price point. [00:27:30] Jason: We're, we'll be showcasing a three tier hybrid pricing model that we've innovated here at DoorGrow, and we've got clients using it. It's been a game changer. We're going to be sharing other cool things about the future hiring systems, et cetera. Right. So you guys will also be there showcasing the future. [00:27:46] Jason: One of the things you shared previously that really kind of struck me as you showed, you did some research and you showed the typical cost. Per unit that most companies had just to cover and deal with maintenance. Yeah. And and then what you were able to get it down to.  [00:28:03] David: Yeah.  [00:28:04] Jason: And that alone was just like a bit of a mind blowing. [00:28:07] Jason: Could you just share a little bit of numbers here?  [00:28:09] David: Yeah. So one of the first things that we had to do when we started way back in the day is figure out well. Like, like what's the impact of AI going to be us from like a cost perspective, right? Is it a huge change? And so we went out on a big survey mission and we were surveying property managers and asking them, what's your cost per door for managing maintenance? [00:28:30] David: How much do you spend every door to manage maintenance? Now the first thing is less than 1% of property managers knew what that cost was. Sure.  [00:28:37] Jason: Oh, sure. Right. Because, but then they got to figure out, oh, we got a maintenance coordinator and we've got these people doing phone calls and they cost this, and yeah, it's complicated. [00:28:45] David: It's complicated. So we built a calculator. Okay. And then people could start adding in that information out into the calculator, and the average person was around $13 and 50 cents a door.  [00:28:56] Jason: Okay. Okay.  [00:28:57] David: Wow. Right, right. So that was where the average person was, somewhere in the low twenties. Yeah. [00:29:01] David: And others were actually pretty good. Like, I'd say like, you know, some of the good ones that we saw were maybe around like, you know, 10, $11 a door or something along that line.  [00:29:09] Jason: They probably had a large portfolio would be my guess.  [00:29:12] David: Yeah. And also I think a lot of it's just like, you know, I don't know if they were still accounting for all their software and everything that they had. [00:29:19] David: Maybe they're not factoring everything. Yeah. No, I think if we really dug in, it'd be different. So now we know that, you know, the base package of what people are getting in. The average cost of what people are paying for 24 7 services that's emergencies around the clock is about $7 and 50 cents a door, right? [00:29:37] David: So right off the bat in AI's first swing, it said we cut the cost in half. Yeah. Okay. Right. So 50% reduction. I mean, to me as an owner, a 50% reduction in cost. That's like. You know, alarms and celebration going off, you know? For sure. And then, yeah.  [00:29:55] Jason: And that's, if everything just stayed the same, like it was still the same level of quality, cutting in half would be a solid win right there. [00:30:03] Jason: Yeah.  [00:30:03] David: Yeah. That's just like status quo stuff. And now what, with the release of the new Vendoroo product that, that's actually being announced here today. The email's going out to all of our existing clients of all the new features that are coming out now, we're starting to see that. You know that quality is now increasing to where if you were to go out and hire that person, you may have to be spending, you know, 55,000 or $65,000 a year. [00:30:29] David: Right? So now it's like saying, okay, if we can get as good as what these people are using for their VAs right, and we know what that cost is, and they're saying that's, you know, that's what their factors is. Well, what happens in the next six to 12 months when this is a seasoned person that you would've to pay $85,000 a year to? [00:30:45] David: Right. Yeah. And right, because they have knowledge of. Estimates and knowledge of vendor routing and knowledge of, you know, it can handle...  [00:30:53] Jason: you've invested so much time into them, so much attention. They know your properties and know your portfolio. They know the vendors. Like you've invested so much into this person that now they sort of have you by the balls so that they're like, Hey, I want 80 k or I walk.  [00:31:06] David: Yeah.  [00:31:06] Jason: You're like, you've got to come up with it.  [00:31:08] David: Yeah.  [00:31:09] Jason: Right. You've got to do it.  [00:31:10] David: Yeah.  [00:31:10] Jason: And you know, because that's not easy to create. And a lot of people, in order to have a good maintenance coordinator, they need a veteran of the industry. Veteran of industry. [00:31:19] Jason: They need somebody that's been doing this a long time.  [00:31:21] David: Yeah.  [00:31:22] Jason: And that's really hard to find.  [00:31:24] David: Yes. It's extremely hard to find as we know. One of the things that I think that we're doing for this industry is we're actually preserving knowledge that I don't think is necessary getting passed down. [00:31:33] David: Yeah. You know, there's a lot less people that I think are as handy as they once were in the Americas and so we have a lot of that knowledge. Like, you know, we know that the average age of an electrician is in the sixties, the average age of a plumber's in the sixties. And these guys, you know, they have wealth of knowledge that it can troubleshoot anything that's going on in a house. [00:31:54] David: And so to be able to try to preserve some of that, so maybe if a person does come in, you know, maybe there's some knowledge sharing along the lines. But let's take it even in another step forward Jason that in the future, you know, the AI is going to know the location of the hot water tank in that house. [00:32:10] David: It's going to then add it automatically to the system, like. It's going to know more knowledge than they will because it's going to have maps of every single property that's all currently sitting inside of, you know, that maintenance coordinator's head, right? And so it's going to, it's going to actually know more than them, you know. [00:32:26] Jason: Yeah. That's wild. Yeah, it is. Absolutely. It's the future. Cool. Well, you're rolling out a bunch of new features. You're announcing these today. You've told me a little bit, but why don't you tell the listeners what's changing, what's new, what innovations have come out? What are you guys launching? [00:32:41] David: Yeah. Exciting. Yeah. So, the biggest one I think is, which is the most exciting is, is Resiroo, which is the first one that actually handles all the communications with the resident and does the triage and troubleshooting. First one of what are you talking about? So we have our products. [00:32:57] David: So you have these AI tools, right? These agents. Right.  [00:33:00] Jason: And so, you know, every, so think of them like different sort of people?  [00:33:04] David: Skill sets. Yeah. Different person. Okay. Exactly. And so that's when you come and see our display at the NARPM conference, you'll actually will see these five agents kind of in their work desk and in their environments, kind of cool. [00:33:15] David: Okay. Able to see them right. So the coolest part about that one is we're doing a major product you know, update on that for not only the knowledge base, but we're actually turning that over to the company. We were talking about this a little bit before, and now they own their own AI agent and they can customize it into how they want it to ask questions or the type of questions and the mindsets when it's triaging stuff. [00:33:41] David: Triaging work orders for their portfolio. Like super cool. So fully customizable to your company, right?  [00:33:49] Jason: So now sometimes the more humans get involved, the more they mess stuff up.  [00:33:54] David: Yes. We make sure they don't mess it up. So everyone's going to learn how to write prompts and they'll submit it into us. [00:33:59] David: And we have a great team of AI engineers that when that knowledge base is written or what they're doing. We will ensure that it is put in so that it actually produces the desire outcome, right? Yeah. Yeah. So that's a very exciting one. The second one that I'm that I think is so cool, do you know that only 10% of all estimates get approved by the owner without one or multiple questions? [00:34:23] David: Because owners really struggle with trust when it comes to estimates. Like 10%. Like, that's a really bad number, I felt as the industry that owners only believe us one out of 10 times. Like that's the way I took that. Yeah. Right. And so, Owneroo is what I coined inside, is the estimate of the future. [00:34:41] David: That really was looking in understanding like what was, what questions was the owner asking when they were rejecting a bid that that we could proactively ask the answer for them to help guide them to understanding the value in this estimate that they're looking at in historical context of the property. [00:35:00] David: How many other people have experienced this issue? Like, like there's a whole bunch of factors that should go into an estimate and an estimate should no longer be like, here's a cost from Frank. Right? Like, like that was like, like that was...  [00:35:14] Jason: here's what Frank said it is. Yeah. Like that was like from the 1940s. [00:35:17] Jason: That's good. How do I trust that?  [00:35:18] David: How do I trust that? That was from the forties and we're still...  [00:35:21] Jason: how much went into this decision? Was this just out of the blue, like pulled out of your ass or is this like legit?  [00:35:27] David: Yeah. Yeah. What's the, you know, we live in a data-driven world, so what's the intellect behind this estimate? [00:35:33] David: And so I'm really excited about Owneroo, which is going to be the new standard for the way the estimates are created. We have the front desk agent which is coming out. So, that one is going to handle phone calls that are coming in, be able to talk about available listings, actual general questions about leases route phone calls over to property managers for you. [00:35:54] David: So again. Very human-like interaction, great AI voice. Actually. We feel it's going to be the best in the industry. So a person's calling in, just like they're calling your office able to handle all those front desk things. We, we have the PM chat, which is now the employee which is fully integrated into all of your systems. [00:36:14] David: It's in Slack. That's your employee that you get to talk to. We believe that if you're going to hire somebody, they should be inside of your communication channels. You have the Google Chrome extension that it's on right inside your AppFolio or your buildium or your Rentvine software that you can ask and talk to it. [00:36:31] David: So, yeah, so we have a lot of exciting products that have come out. And then of course the backbone of all of them in the middle is Vendoroo, which handles all the scheduling, all the communications. You know, a resident asks for an update, responds to them, an owner asks for an update, it responds to them. [00:36:48] David: And you know, it handles actually the body of the work order. So you have those five tools, we believe are what the property management industry said. If you are going to give me an employee, this is what the employee has to be. This is what makes up that employee. So we say that these tools, these agents were actually built by the property management industry. [00:37:08] David: And that excites me because if you're not building AI tools from working with your partners, from being on the ground floor with them and using the data and building tools based upon the data and their pain points and their failures, buyer beware. If somebody's coming to you and saying, Hey, we figured this all out in the lab. [00:37:25] David: Come use it. Yeah. Right. Buyer beware.  [00:37:29] Jason: Yeah. So you guys connect with Slack. They can communicate through Slack, but it slack's a paid tool. Have you guys considered Telegram? I love Telegram Messenger.  [00:37:37] Jason: Alright. Could you do that? Write it down. Telegram Messenger is like the iMessage tool that works on every device. [00:37:44] Jason: It's free. It's one of the most secure, it's not owned or controlled by Facebook. Like, WhatsApp, like, yeah. But WhatsApp might be a close second, but we use Telegram internally, so I love Telegram.  [00:37:58] David: We'll definitely take that into, into consideration for sure. Yeah, check it  [00:38:02] Jason: out. Because I, what I love is the voice message feature and I can just listen to my team and others at like high speed, but internal communications and it's free for everybody, which is great. [00:38:12] Jason: So, yeah.  [00:38:13] David: Yeah. I think a lot, for a lot of people it was like you know, who was Vendoroo in the beginning and Vendoroo was like the team of like people that were trying to figure out like how is AI going to work in this industry? [00:38:26] David: How is it going to solve the needs of our property management partners? And this is why I say to everybody, if you thought about Vendoroo, if you came in and the experience wasn't great with Vendoroo, if you're one of our existing clients that has been with us and you're and you're still moving forward, and we thank you so much for your dedication to this, the Vendoroo product, everything that we've done, everything that we worked at is being showcased at the NARPM broker owner. The email's going out today. This is who Vendoroo is. We are a team that is a technology partner for the property management industry that is helping building meaningful AI tools, specifically by demand, by our industry to help us show value and to preserve this great industry. [00:39:09] David: For the future in this new AI economy, right? Like we need to step up. We have clients that are adding doors left and right because they're showing their clients that they use an AI maintenance system and their clients are like, this is what I expect from a property management in this community. [00:39:24] David: Right? And again, Owneroo, that estimate, we believe that in the future. Like, like owners are going to say like, I'm not approving an estimate unless it's like the estimate of the future, right? Like, like that's the new standard. So you got to know what the new standards are and you got to get technology that are going to help you compete with those new standards that will be in your community and are will be in your community in the next week, the next two weeks. [00:39:46] David: And definitely some really cool products in the next six months.  [00:39:49] Jason: All right. Well, yeah, I'm really excited to see what you guys have been able to create so far. So yeah, it's pretty awesome. Yeah. All right. Well David, it's been awesome having you on the show. Sounds like you guys are really innovating the future. Everybody come to DoorGrow Live. David, are you going to be at that one? I will be there. All right, so you can come meet David in person. [00:40:08] Jason: We've got some amazing people that are going to be at this. We've got technology people. There's a gentleman there, one of the vendors they created another really cool tool, but he had a hundred million dollars exit, you know, in a previous business, like there's really amazing entrepreneurs and people at this event, so come to DoorGrow Live, get your tickets, and if you do, we have just decided that we're going to give out to anybody that registers. [00:40:34] Jason: You can pick from one of our free bonuses that are well worth the price of the ticket. Or coming or anything in and of itself, including our pricing secrets training that goes over a three tier hybrid pricing model or our sales secrets training, which goes over how we're helping property managers crush it and closing more deals more easily at a higher price point. [00:40:55] Jason: And reputation secrets, which are helping our clients get way more positive reviews by leveraging the psychology and the law of reciprocity and getting the majority of their tenants in order to give them positive feedback online. Maybe some others. So you'll be able to pick from these bonuses one of these that you might like and that's our free, most incredible free gift ever that we'll give to each person that registers for DoorGrow Live. [00:41:19] Jason: So.  [00:41:20] David: Cool. Awesome man. Always great to see you. Looking forward to seeing you at DoorGrow Live and love that you guys are working on pricing because AI is going to make people think different about pricing. It's going to be way more efficient, so you guys are ahead of the curve on that. Great job, Jason. [00:41:33] Jason: Awesome. All right, so how can they check out Vendoroo, David?  [00:41:36] David: Just visit, Vendoroo.ai, go to the website, request a demo with one of our great sales reps, and yeah they'd love to help you out. See all the new products, see how far it's come. And again, we thank everybody from the bottom of our hearts for all their effort, people who've tried us out. [00:41:52] David: Come back and see what you built and yeah. Come check us out at Vendoroo.  [00:41:57] Jason: Got it. Go check out Vendoroo, it's vendor. If you know how to spell that, V-E-N-D-O-R-O-O dot A-I, go check it out. All right? And if you're a property management entrepreneur, you want to add doors, you want to make your business scalable, you want to get out of the day to day, you want to increase the capacity so your company could easily handle another 200 plus doors without having to make any significant systems changes, reach out to us at DoorGrow. We will help you figure it out. So until next time to our mutual growth. Bye everyone. 

This is the 4th Episode of a weekly call with Arnold Beekes where we discuss current events and what we can do to deal with it. We also share game-changing initiatives that contribute to better living for all.   About my Co-Host: Arnold Beekes Innovator, certified coach & trainer and generalist. First 20 years in technology and organizational leadership, then 20 years in psychology and personal leadership (all are crucial for innovation).   ============   What we Discussed:   - The 3 Shows that I released that I recommed (0:15 mins) - The effect of the Trump Tariffs (4:20 mins) - The Trump Gaza situation (7:15 mins) - Transhumanism (9:45 mins) - Chips in your body (12 mins) - The Danger of Tea bags (13 mins) - Dangers of Micro Plastics ( 15 mins) - AK47 in Brussels (18 mins) - Get Farmers eggs and the attack on the farmers (20:30 mins) - The Flu rate in the Netherlands (23:15 mins) - USAID and the effects (25:30 mins) - Flashing LED Bulbs (30:30 mins) - Energy Eficiency lie (32 mins) - TuLu 3 Ai (34 mins) ==================== How to Contact Arnold Beekes:   https://braingym.fitness/   https://www.linkedin.com/in/arnoldbeekes/   =============== Donations  ⁠⁠https://www.podpage.com/speaking-podcast/support/⁠⁠ ------------------ All about Roy / Brain Gym & Virtual Assistants at https://roycoughlan.com/ ------------------   

This is the 4th Episode of a weekly call with Arnold Beekes where we discuss current events and what we can do to deal with it. We also share game-changing initiatives that contribute to better living for all. About my Co-Host:Arnold Beekes Innovator, certified coach & trainer and generalist. First 20 years in technology and organizational leadership, then 20 years in psychology and personal leadership (all are crucial for innovation). ============ What we Discussed: - The 3 Shows that I released that I recommed (0:15 mins)- The effect of the Trump Tariffs (4:20 mins)- The Trump Gaza situation (7:15 mins)- Transhumanism (9:45 mins)- Chips in your body (12 mins)- The Danger of Tea bags (13 mins)- Dangers of Micro Plastics ( 15 mins)- AK47 in Brussels (18 mins)- Get Farmers eggs and the attack on the farmers (20:30 mins)- The Flu rate in the Netherlands (23:15 mins)- USAID and the effects (25:30 mins)- Flashing LED Bulbs (30:30 mins)- Energy Eficiency lie (32 mins)- TuLu 3 Ai (34 mins)====================How to Contact Arnold Beekes: https://braingym.fitness/ https://www.linkedin.com/in/arnoldbeekes/ ===============Donations  ⁠⁠https://www.podpage.com/speaking-podcast/support/⁠⁠------------------All about Roy / Brain Gym & Virtual Assistants athttps://roycoughlan.com/------------------