Podcasts about SLA

In Episode 177 of The Fleet Success Show, Marc Canton and Steve Saltzgiver unload a truth-packed conversation on the painful realities of outsourcing fleet maintenance. From horror stories about seven visits for the same repair to $3,500 upsell attempts during a routine oil change, this episode explores the downside of putting your fleet's fate in the hands of external vendors — especially without tight service-level agreements (SLAs) in place.Marc vents his real-world frustrations as a fleet leader turned vehicle caretaker for his entire family. Steve, bringing decades of fleet management and consulting experience, breaks down how fleets can build smarter, more accountable outsourcing relationships. Together, they unpack when outsourcing makes sense, how to hold vendors accountable, and why an in-house shop might still be your best line of defense against inefficiency, comebacks, and ballooning costs. 

La globalización moderna empezó a ganar fuerza en los años 80. Es un fenómeno complejo que ha integrado economías, culturas y sociedades a nivel mundial. Nos ha permitido tener productos a precios competitivos y ha traído consigo un aumento de la riqueza global, pero también ha tenido consecuencias negativas tanto a nivel económico, como social y ambiental. Ahora el mundo está cambiando, sus bloques económicos también y la globalización no vive su mejor momento. Pero, ¿está superada?, ¿podemos hablar de una nueva era?, ¿o simplemente el tablero se está reconfigurando? Se lo preguntamos a Amanda Mars, directora de Cinco Días y subdirectora de información económica de EL PAÍS. CRÉDITOS: Presenta y realiza: Marta Curiel Diseño de sonido: Nacho Taboada Edición: Ana Ribera Dirección: Silvia Cruz Lapeña Sintonía: Jorge Magaz PARA SABER MÁS: La globalización en retirada El fin de un periodo históricamente anómalo de globalización pacífica Si tienes quejas, dudas o sugerencias, escribe a defensora@elpais.es o manda un audio al +34 649362138 (no atiende llamadas).

Today's guest is someone you may remember from one of our most listened-to episodes of last year—Sarah Ashcroft. Sarah is one of the original fashion creators in the UK, and in our last episode, she took us through her journey turning her online presence into the fashion powerhouse that was SLA The Label.But since then, a lot has changed.In Feburary this year, Sarah announced that SLA was closing. This episode is the first time she's speaking on a podcast about that situation—what led to it, how it felt to walk away from something she built from the ground up, and what she's learned in the months since.This is a conversation about identity, pressure, clarity, and the harsh reality of running a business in public. It's raw, it's reflective, and it's going to resonate with anyone who's ever had to make a difficult decision or gone through a huge life change.I'm so grateful to Sarah for trusting us with this conversation. +SARAH ASHCROFTInstagram: https://www.instagram.com/sarahhashcroft/?hl=enYoutube: https://www.youtube.com/@sarahhashcroft +MY LINKS: https://gracebeverley.komi.io/+RETROGRADE, SHREDDY, TALA and THE PRODUCTIVITY METHOD are my own businesses, therefore any mention of them - whilst not being a sponsorship - is obviously monetarily endorsed. As usual, sponsorships do not change my opinions nor my honesty, but I will always disclaim to make sure motives are clear

Přivezla Rudá armáda v květnu 1945 do Československa svobodu? „Totalitní Sovětský svaz nebyl svobodný a nemohl svobodu ani přinášet. Spíš přinesl vítězství nad nacismem,“ míní v pořadu Pro a proti historik a filozof Petr Hlaváček, hlavní editor časopisu Forum 24. „Svobodu omezil už poválečný nacionalismus a etnická čistka Němců a Maďarů,“ upozorňuje pro Český rozhlas Plus politolog Ondřej Slačálek.Všechny díly podcastu Pro a proti můžete pohodlně poslouchat v mobilní aplikaci mujRozhlas pro Android a iOS nebo na webu mujRozhlas.cz.

Whistleblower im Fokus: Was hat das Hinweisgeberschutzgesetz bisher bewirkt – und wo hakt es noch? Rund zwei Jahre nach dem Inkrafttreten des Hinweisgeberschutzgesetzes ziehen Dr. Rosinus und Dr. Altenbach ein Zwischenfazit und werfen einen Blick auf dessen Umsetzung in der Praxis. Sie analysieren die seither eingetretenen Entwicklungen und beleuchten aktuelle Diskussionspunkte. Zudem gehen sie auf erste Gerichtsentscheidungen sowie Strafverfahren ein, die im Zusammenhang mit dem HinSchG stehen. Hier geht's zur Verordnung über die Zuständigkeit des Bundesamtes für Justiz für die Verfolgung von Ordnungswidrigkeiten nach § 40 HinSchG https://www.recht.bund.de/bgbl/1/2025/111/VO Hier geht‘s zur Entscheidung des LAG Niedersachsen vom 11. November 2024, Az. 7 SLa 306/24 (https://voris.wolterskluwer-online.de/browse/document/3cdd9634-1e23-4489-8a32-31823f9df5f0), die die Frage betrifft, was der Mitarbeitende in einem arbeitsgerichtlichen Verfahren beweisen muss, um sich auf das Benachteiligungsverbot nach dem HinSchG berufen zu können. Hier geht‘s zur Entscheidung des ArbG Hamm vom 16. Februar 2024, Az. 2 Ca 1229/23 (https://nrwe.justiz.nrw.de/arbgs/hamm/arbg_hamm/j2024/2_Ca_1229_23_Urteil_20240216.html) zur Voraussetzung der Nutzung der Meldestelle zur Erlangung des besonderen Schutzes nach dem HinSchG. Hier geht‘s zur Entscheidung des LG Nürnberg-Fürth vom 14. Februar 2024 (https://www.burhoff.de/asp_weitere_beschluesse/inhalte/8363.htm), die die Frage betrifft, ob eine anonyme Meldung über ein Hinweisgebersystem Grundlage für einen Durchsuchungs- und Beschlagnahmebeschluss sein kann. Hier geht's zur Folge Nr. 159 „Ordnungswidrigkeiten im Hinweisgeberschutzgesetz“ https://criminal-compliance.podigee.io/159-ordnungswidrigkeitenvorschriften Hier geht's zur Folge Nr. 156 „Gesetzgebungsupdate: Hinweisgeberschutzgesetz“ https://criminal-compliance.podigee.io/156-hinweisgeberschutzgesetz Hier geht's zur Folge Nr. 136 „Das Hinweisgeberschutzgesetz – Update zum Stand des Gesetzgebungsverfahrens“ https://criminal-compliance.podigee.io/136-new-episode Hier geht's zur Folge Nr. 105 „Das Hinweisgeberschutzgesetz im Fokus - Die größten Vorteile und Kritikpunkte des Gesetzentwurfs“ https://criminal-compliance.podigee.io/105-neue-episode Hier geht's zur Folge Nr. 99 „Hinweisgeberschutz in Deutschland – Der neue Referentenentwurf zum Hinweisgeberschutzgesetz“ https://criminal-compliance.podigee.io/99-cr Hier geht's zur Folge Nr. 40 „Whistleblowing und Compliance-Praxis - Der neue Entwurf eines Hinweisgeberschutzgesetzes“ https://criminal-compliance.podigee.io/40-rosinusonair Dr. Rosinus im Gespräch mit: Dr. Thomas Altenbach, CEO und Rechtsanwalt der LegalTegrity GmbH, ist ein Compliance-Experte mit einer Leidenschaft für Integrität und Innovation. Als Anwalt im Topmanagement internationaler Konzerne sowie als Berater mittelständischer Unternehmen wurde er zu einem der gefragtesten Compliance-Spezialisten. Sein Interesse an Digitalisierung in Verbindung mit Compliance und Mittelstand mündete in der Gründung des Legal Tech Unternehmens LegalTegrity. Dr. Thomas Altenbach ist erreichbar unter altenbach@legaltegrity.com oder unter +49 69 348 713 390. https://www.rosinus-on-air.com https://rosinus-partner.com

Show Website: https://mspbusinessschool.com/ Guest Name: Dustin Puryear LinkedIn page: https://www.linkedin.com/in/dustinpuryear/ Company: Giant Rocket Ship Website: https://giantrocketship.com/ Host Brian Doyle: https://www.linkedin.com/in/briandoylevciotoolbox/ In this episode of MSP Business School, host Brian Doyle is joined by Dustin Puryear of Giant Rocketship to delve into effective solutions for enhancing service delivery within MSP operations. Dustin shares his journey from managing an MSP to developing a vendor product that addresses the industry's common pain points. The conversation focuses on how Giant Rocketship innovates ticket management and service coordination through automation, reducing backlog and improving client satisfaction. Dustin Puryear explains the genesis of Giant Rocketship as a response to the inefficiencies he noticed in ticket management during his MSP tenure. By automating the dispatch and prioritization of tasks, Rocketship helps MSPs manage workloads more effectively, saving time and resources. Dustin highlights the importance of focusing on the volume of work rather than ticket numbers, a common oversight in service delivery operations. With trends towards AI and automation, the discussion underscores the evolving nature of MSP business models and the necessity of adapting to new technologies. Key Takeaways: Streamlining Operations: Giant Rocketship automates the dispatch process, helping MSPs reduce ticket backlogs and improve service efficiency.  Prioritization Through Automation: By prioritizing tickets based on SLA, customer impact, and team capabilities, the system ensures that urgent tasks are addressed promptly.  Cost-Effectiveness: Implementing automation can help MSPs reassign resources and potentially reduce staffing needs, significantly improving ROI.  Evolving Perceptions: Dustin emphasizes shifting from ticket-focused to activity-focused operations to enhance service delivery and customer satisfaction.  Industry Trends: The adoption of AI and automation in MSPs is reshaping traditional service delivery models, necessitating a more strategic approach to technology and resources.  Sponsor vCIOToolbox: https://vciotoolbox.com

Enquête sur les cas SLA confirmés. Métro : mauvais état, bilan flânage, centres d’injection supervisés. Panne SAAQ. La décote coûtera cher à Hydro-Québec. Fin des pourboires calculés sur les taxes et nouvelles étiquettes en magasin. Résumé des parties disputées dans la LNH. Un nouvel album pour Fouki. Tour de table entre Isabelle Perron, Alexandre Dubé et Mario Dumont. Regardez aussi cette discussion en vidéo via https://www.qub.ca/videos ou en vous abonnant à QUB télé : https://www.tvaplus.ca/qub ou sur la chaîne YouTube QUB https://www.youtube.com/@qub_radioPour de l'information concernant l'utilisation de vos données personnelles - https://omnystudio.com/policies/listener/fr

Aujourd’hui dans le BOOST ! : «Gaben ça» : les règles non-écrites à respecter à l’urinoir... Qu’est-ce qui n’est pas bon pour la santé, mais que tu manges quand même ? Fanny Lachance-Paquette : le nombre de cas de SLA inquiète toujours à Windsor Bonne écoute :)

Why do short clear SLAs improve your services, customer satisfaction, and life? How do you write and use an effective SLA?

In our recent episode on global burn surgery with Dr. Barclay Stewart and Dr. Manish Yadav, we discussed several cases at Kirtipur Hospital in Nepal to illustrate the global burden of burns and similarities and differences in treating burns at Harborview Medical Center, a level 1 trauma and ABA verified burn center in Seattle, WA and Kirtipur Hospital (Nepal Cleft and Burn Center) in Kathmandu, Nepal. In this episode Dr. Stewart and Dr. Yadav return for an interview by UW Surgery Resident, Paul Herman, sharing insights on how to get involved in global surgery with an emphasis on sustainable participation. Hosts:  Manish Yadav, Kirtipur Hospital, Nepal Barclay Stewart, UW/Harborview Medical Center Paul Herman, UW/Harborview General Surgery Resident, @paul_herm  Tam Pham, UW/Harborview Medical Center (Editor) Learning Objectives 1.     Approaches to global surgery  a.     Describe historical perspectives on global health and global surgery reviewing biases global surgery inherits from global health due to the history of colonialism, neo-colonialism and systemic inequalities b.     Review a recently published framework and evaluation metrics for sustainable global surgery partnerships (GSPs) as described by Binda et al., in Annals of Surgery in March 2024. c.      Provide examples of this framework from a successful global surgery partnership d.     Define vertical, horizontal and diagonal global surgery approaches e.     Share tips for initial engagement for individuals interested in getting involved in global surgery References 1.     Gosselin, R., Charles, A., Joshipura, M., Mkandawire, N., Mock, C. N. , et. al. 2015. “Surgery and Trauma Care”. In: Disease Control Priorities (third edition): Volume 1, Essential Surgery, edited by H. Debas, P. Donkor, A. Gawande, D. T. Jamison, M. Kruk, C. N. Mock. Washington, DC: World Bank. 2.     Qin R, Alayande B, Okolo I, Khanyola J, Jumbam DT, Koea J, Boatin AA, Lugobe HM, Bump J. Colonisation and its aftermath: reimagining global surgery. BMJ Glob Health. 2024 Jan 4;9(1):e014173. doi: 10.1136/bmjgh-2023-014173. PMID: 38176746; PMCID: PMC10773343. https://pubmed.ncbi.nlm.nih.gov/38176746/ 3.     Binda CJ, Adams J, Livergant R, Lam S, Panchendrabose K, Joharifard S, Haji F, Joos E. Defining a Framework and Evaluation Metrics for Sustainable Global Surgical Partnerships: A Modified Delphi Study. Ann Surg. 2024 Mar 1;279(3):549-553. doi: 10.1097/SLA.0000000000006058. Epub 2023 Aug 4. PMID: 37539584; PMCID: PMC10829902.  https://pubmed.ncbi.nlm.nih.gov/37539584/ 4.     Jedrzejko N, Margolick J, Nguyen JH, Ding M, Kisa P, Ball-Banting E, Hameed M, Joos E. A systematic review of global surgery partnerships and a proposed framework for sustainability. Can J Surg. 2021 Apr 28;64(3):E280-E288. doi: 10.1503/cjs.010719. PMID: 33908733; PMCID: PMC8327986. https://pubmed.ncbi.nlm.nih.gov/33908733/ 5.     Frenk J, Gómez-Dantés O, Knaul FM: The health systems agenda: prospects for the diagonal approach. The handbook of global health policy. 2014 Apr 24; pp. 425–439 6.     Davé DR, Nagarjan N, Canner JK, Kushner AL, Stewart BT; SOSAS4 Research Group. Rethinking burns for low & middle-income countries: Differing patterns of burn epidemiology, care seeking behavior, and outcomes across four countries. Burns. 2018 Aug;44(5):1228-1234. doi: 10.1016/j.burns.2018.01.015. Epub 2018 Feb 21. PMID: 29475744. https://pubmed.ncbi.nlm.nih.gov/29475744/ 7.     Strain, S., Adjei, E., Edelman, D. et al. The current landscape of global international surgical rotations for general surgery residents in the United States: a survey by the Association for Program Directors in Surgery's (APDS) global surgery taskforce. Global Surg Educ 3, 77 (2024). https://doi.org/10.1007/s44186-024-00273-2 8.     Francalancia S, Mehta K, Shrestha R, Phuyal D, Bikash D, Yadav M, Nakarmi K, Rai S, Sharar S, Stewart BT, Fudem G. Consumer focus group testing with stakeholders to generate an enteral resuscitation training flipbook for primary health center and first-level hospital providers in Nepal. Burns. 2024 Jun;50(5):1160-1173. doi: 10.1016/j.burns.2024.02.008. Epub 2024 Feb 15. PMID: 38472005; PMCID: PMC11116054. https://pubmed.ncbi.nlm.nih.gov/38472005/ 9.     Shrestha R, Mehta K, Mesic A, Dahanayake D, Yadav M, Rai S, Nakarmi K, Bista P, Pham T, Stewart BT. Barriers and facilitators to implementing enteral resuscitation for major burn injuries: Reflections from Nepalese care providers. Burns. 2024 Oct 28;51(1):107302. doi: 10.1016/j.burns.2024.107302. Epub ahead of print. PMID: 39577105. https://pubmed.ncbi.nlm.nih.gov/39577105/ Please visit https://behindtheknife.org to access other high-yield surgical education podcasts, videos and more.   If you liked this episode, check out our recent episodes here: https://app.behindtheknife.org/listen

Making a LIDAR scanner Pt 1, X1C Unbox and Setup, Tariff impacts 

U želji da saznamo koja su najvažnija izborna pitanja koja zanimaju zajednicu Bosanaca i Hercegovaca uoči Saveznih izbora u Australiji, proveli smo anketu među istaknutim članovima zajednice u Perthu, Sydneyu i Melbourneu. Šta očekuju od Saveznih izbora i koje su najvažnije teme na osnovu kojih će procijeniti kome dati svoj glas, saznali smo od gospodina Muhameda Merdžanića, direktora Bosanskog sportsko- rekreacionog centra u Perthu, profesorice Slađane Hodžic, dirigentice i voditeljice hora "Modra rijeka" iz Sydneya, gospodina Fuada Mehmedovića, glasnogovornika BH Centra Springvale iz Melbournea, te nastavnica Bosanske škole u Viktoriji Sade Makaš i Mirne Bardak.

U povodu obilježavanja 28 godina postojanja i kontinuiranog rada hora "Modra rijeka" iz Sydneya donosimo razgovor sa profesoricom Slađanom Hodžić, muzičkim pedagogom, dirigenticom i osnivačicom hora "Modra rijeka", koji svojim višedecenijskim radom pronosi širom Australije ljepotu bosanske pjesme, te čuva od zaborava neprocjenjivo blago bosanskohercegovačkog kulturnog naslijeđa. Hor "Modra rijeka" će 10. maja održati svoj redovni godišnji koncert u Sydneyu, slaveći uzajamno poštovanje i ljubav prema muzici, tradiciji i zajedništvu. Pjevanje u horu donijelo je opuštanje, duševni mir, iscjeljenje, međusobno poštovanje. "Sve bilo je muzika..."

Tonix Pharmaceuticals Holdings has announced a groundbreaking collaborative research agreement with Makana Therapeutics, aiming to explore the potential of TNX-1500, Tonix's anti-CD40L monoclonal antibody candidate, in advancing the field of xenotransplantation—the transplantation of animal-derived organs into human patients. In an interview with Steve Darling from Proactive, Tonix CEO Dr. Seth Lederman shared details of the preclinical partnership, which will evaluate TNX-1500 in combination with Makana's proprietary human-compatible organs and cells, derived from genetically engineered pigs. The collaboration will initially focus on kidney, heart, and islet cell transplant models, with the broader objective of developing new treatment options for patients suffering from organ failure. The preclinical studies are designed to generate data to support a future Investigational New Drug (IND) application to the U.S. Food and Drug Administration, with the goal of enabling compassionate use of xenotransplantation therapies in patients who have no alternative treatment options. Makana's approach centers around genetically engineered pigs that have been modified to lack swine leukocyte antigen (SLA), a key driver of immune rejection. These animals demonstrate enhanced compatibility with human biology and offer several potential advantages over competing technologies, including high fertility rates, increased litter sizes, and robust health profiles—key factors that support scalability and commercial viability in global markets. TNX-1500 is a next-generation anti-CD40L monoclonal antibody designed to modulate immune response while minimizing the risk of thrombosis—a common side effect associated with earlier anti-CD40L agents. The drug candidate holds promise in preventing organ transplant rejection, making it an ideal component of xenotransplantation protocols. #proactiveinvestors #tonixpharmaceuticalsholdingcorp #nasdaq #tnxp #Biotech #MPOXVaccine #Smallpox #TNX801 #VaccineDevelopment #ClinicalTrials #PharmaceuticalNews #MedicalResearch #WHO #GlobalHealth #InfectiousDiseases #Biopharma #ProactiveInvestors

Dime qué piensas del episodio.Mi invitada de hoy es Pati Jinich IG: @patijinich, una de las voces más influyentes de la cocina mexicana en el mundo. Nacida en la Ciudad de México y formada como analista política en el ITAM, el CIDE y Georgetown, dejó atrás una carrera como investigadora en Washington D.C. para contar la historia de México a través de sus sabores.Por favor ayúdame y sigue Cracks Podcast en YouTube aquí."Vivir en el limbo es lo peor de todos los mundos."- Pati Jinich @PatiJinichComparte esta frase en TwitterEste episodio es presentado por Hospital Angeles Health System que cuenta con  el programa de cirugía robótica más robusto en el sector privado en México y por  LegaLario la empresa de tecnología legal que ayuda a reducir costos y tiempos de gestión hasta un 80%.Su serie Pati's Mexican Table, que va por la temporada 14, y sus documentales La Frontera y Panamericana, la han llevado a explorar desde los acantilados de Nuevo León con escaladores, hasta las montañas aisladas de Sinaloa donde fue la primera visitante en aprender las recetas de una aldea perdida en el tiempo.Hoy hablamos de identidad, de valentía, de reinvención y de cómo una mujer que pudo haber terminado en una oficina de política pública, eligió escribir historia desde la cocina.Qué puedes aprender hoyEl error de prepararte de másLa paradoja Judío-americanaCómo superar el limbo de la toma de decisiones*Este episodio es presentado por Hospital Angeles Health SystemLos avances en cirugía robótica permiten intervenciones con menos sangrado, menos dolor, cicatrices más pequeñas y una recuperación más rápida.Hospital Angeles Health System tiene el programa de cirugía robótica más robusto en el sector privado en México. Cuenta con 13 robots DaVinci, el más avanzado del mundo y con el mayor número de médicos certificados en cirugía robótica ya que tiene el único centro de capacitación de cirugía robótica en el país.Este es el futuro de la cirugía. Si quieres conocer más sobre el programa de cirugía robótica de Hospital Angeles Health System y ver el directorio de doctores visita cracks.la/angeles*Este episodio es presentado por LegaLario, la Legaltech líder en México.Con LegaLario, puedes transformar la manera en que manejas los acuerdos legales de tu empresa. Desde la creación y gestión de contratos electrónicos hasta la recolección de firmas digitales y la validación de identidades, LegaLario cumple rigurosamente con la legislación mexicana y las normativas internacionales.LegaLario ha ayudado a empresas de todos los tamaños y sectores a reducir costos y tiempos de gestión hasta un 80%. Y lo más importante, garantiza la validez legal de cada proceso y la seguridad de tu información, respaldada por certificaciones ISO 27001.Para ti que escuchas Cracks, LegaLario ofrece un 20% de descuento visitando www.legalario.com/cracks. Ve el episodio en Youtube

Dieter Schwarze is a true 3D printing icon. Here we get the twisting, arduous tale of Dieter's journey into additive. Starting with inkjet, SLA and lots of other technologies, Dieter´s path was filled with telenovela-like plot twists. The Nikon SLM Solutions story is an important element of his tale, but the entire saga is much more complex. With a lot of candor, he talks about getting started, growing a business, selling to Nikon, and more. We get a real entrepreneurial vision here. Nothing has been straightforward in Dieter's journey, and there is so much to learn. This is a must-listen for those who wish to be entrepreneurs or are already.

Original 420 flag, from the Waldo's official website. All five of the original 420 Waldos are in the studio today on Brew Ha Ha with Steve Jaxon and Herlinda Heras. Waldo Dave and Waldo Steve were on Brew Ha Ha once before, on this episode of April 18, 2019. This time, all five of them are here. Steve, Dave, Jeff, Larry and Mark are here, they are the original Waldos from San Rafael High School in the early 1970s. There is ample documentation of their invention of the expression 420 on their website. It is the first time all five of them have been together for a radio interview. They used to hang out on the wall, every day between classes and after school. “We were all about comedy and having fun.” They also listened to a lot of music, including the great bands from the Bay Area at the time. Lagunitas makes a special 420 Waldos beer and they have some of it in studio today. At the time, one of them had a brother who was in the Coast Guard who knew of a secret garden. One of them got the map. Visit our sponsor Pizzaleah in Windsor for the finest pizza menu and the most authentic flavors around!

“The more you can adjust your communication to fit your customer, the more effective you'll be.” – Rob Broadhead In this episode of Building Better Developers, part of the Building Better Businesses season, hosts Rob Broadhead and Michael Meloche explore customer communication strategies. From tone and timing to tools and follow-up processes, they share real stories and practical tips that every developer and entrepreneur should know. Tone and Timing: Keys to Effective Customer Communication Strategies One of the top takeaways? Tone matters. Even when following up on an unanswered email, how you phrase things can shape how your customer perceives you. Rob cautions against saying things like, “As I said in my last email…”, which can feel accusatory. Instead, assume the best: maybe the message got lost, or perhaps they're dealing with their storms (literal or figurative). ⏱ Timing tip: If you don't get a response within 24–48 hours, follow up—but kindly. A quick “just checking in” keeps communication open and positive. Customer Communication Strategies Start with the Right Tools “Don't force your communication tools on your customers. Find out what works best for them.” – Michael Meloche Different customers prefer different channels. Some want a phone call, others prefer text, while many prefer email. Your job? Adapt to their preferences. This can be a game-changer in building trust for developers and entrepreneurs juggling multiple platforms.

Join hosts Daniel Garcia and Eric Peterson as they dive into the latest news and updates in the BoxLang and CFML world. Don't miss out on insights, discussions, and what's coming next for modern software development!

In 2002 a group of surgeons got together and radically changed surgical training forever. They just got together again... They call themselves the Blue Ribbon Committee. When they met in 2002 they addressed critical issues such as residency structure, specialization, work-life balance, and simulation-based training. Now, with rapid advancements in medicine and education, BRC II has revisited these topics and introduced new priorities to ensure that surgical education meets the demands of the modern era. In this episode, we are joined by Dr. Steven Stain, co-chair of BRC II and a leader in surgical education. Dr. Stain shares insights into the motivations behind the second committee, its key findings, and how competency-based education, entrustable professional activities (EPAs), and other innovations are shaping the future of surgical training. Join hosts Pooja Varman MD, Judith French PhD, and Jeremy Lipman MD, MHPE for an engaging discussion on what surgical educators, trainees, and institutions need to know about the new recommendations from BRC II and the future of surgical education. Learning Objectives By the end of this episode, listeners will be able to  1.     Under the origins and impact of the first Blue Ribbon Committee (BRC I) 2.     Explain the factors that led to the formation of the BRC II and its major recommendations 3.     Identify challenges and opportunities in modern surgical education 4.     Discuss the role of competency-based education and EPAs in training future surgeons 5.     Recognize how institutions and educators can adapt to BRC II recommendations References 1.     Recommendations on Surgical Education and Training in the United States: 2024. Ann Surg. 2024;280(4):535. doi:10.1097/SLA.0000000000006360 https://pubmed.ncbi.nlm.nih.gov/38814074/ 2.     Blue Ribbon Committee II Advises Sweeping Changes in Surgical Education. ACS. Accessed January 12, 2025. https://www.facs.org/for-medical-professionals/news-publications/news-and-articles/bulletin/2024/may-2024-volume-109-issue-5/blue-ribbon-committee-ii-advises-sweeping-changes-in-surgical-education/ ***Fellowship Application Link: https://forms.gle/PQgAvGjHrYUqAqTJ9 Please visit https://behindtheknife.org to access other high-yield surgical education podcasts, videos and more. If you liked this episode, check out our recent episodes here: https://app.behindtheknife.org/listen

Tune in to the latest Suite Spot episode featuring TMG's very own Chief Technology Officer, Jason Lee, as he gives listeners the latest update on our newest innovation, SMART Response powered by TMG AI. Hear about the development, successes, and challenges of building a guest review response solution with the ingenuity of artificial intelligence. Ryan Embree: Welcome to Suite Spot, where hoteliers check in, and we check out what's trending in hotel marketing. I'm your host, Ryan Embree. Welcome to another episode of The Suite Spot. As you can see, if you're watching us on our YouTube channel, we are here in our Suite Spot podcast studio in Maitland, Florida, here with CTO, Jason Lee at Travel Media Group. Jason, thank you so much for being back on the Suite Spot. Jason Lee: Yeah, thanks for having me. In the seated position. Ryan Embree: Yes. I feel like we should be celebrating maybe like a 10th or 15th milestone of you coming on the Suite Spot or something like that. It's been a lot, but we're here to talk about a really important topic, something that's been bubbling up in conferences, conversations that we're having something that you're not a stranger to. You've been doing some research on this and, and have some updates for us. But AI, I mean, it seems to be the, obviously the, the hot topic, like I said, at these conferences or just in the industry, outside of the industry in general, and then pairing it with guest review response, something that Travel Media group obviously known for. We're coming up on the 2 million guest review mark. Which Is a fantastic milestone, really exciting milestone, but I figured we could start the episode by just kind of talking about how Travel Media Group got into guest review response. A lot of the stuff and solutions that we've talked about on this podcast have been through hotel your feedback. Talk to us a little bit about this journey in review response, and then we'll get to maybe where the state of the industry is now, and AI and guest review response. Jason Lee: Well, you know, working with hotels the way we have for a lot of years, almost 10 years ago, we were getting a lot of requests to do review response. And so, we're like, yeah, I think we can do it. And then as we got into it, we realized like, wow, this is complicated because every hotel's different. The vibe of the hotel is different, but also the amenities and policies, the quantities, the types of sites that are, have more text or less text ratings and like, I think even getting deeper into, you know, how a hotel wants to use language. And so like, it's even beyond voice, you know? So it's like it's literally grammar and also types of words. And so I think, so we started in this very simple place, very innocent, like, we can do this. This is gonna be awesome. And I think the first offering we had was 20 reviews. It was an SLA of 20 reviews a month. It was TripAdvisor only and . So we, like, we, we jumped to that and quickly, almost like instantly it was like, well, we need, we definitely need Google, and well, we definitely need Expedia. We definitely need booking. You know, so we had to adapt. And it went, the adoption was not just in the sites that we've brought on, it was also in the complexity of the response. It was also in then systematically creating a flow. So the review comes in, we have a writer that writes a response. That response goes to the property. So like, that stuff wasn't initially there. It goes to the property, the property can edit it, and then, and then it goes live back on the site. So that whole process was also sort of formulated during those first, that first year, and then has become very perfected over time where, where we've taken that and we have all sorts of mechanisms to make sure we capture hotel voice, make sure we're doing the right things, critical review pieces that we're doing. So all of these things to really sort of make it as authentic as possible...

El nuevo primer ministro de Groenlandia, Jens-Frederik Nielsen, asume su cargo en un momento crítico para la isla. Donald Trump quiere Groenlandia por las buenas o por las malas, y su vicepresidente JD Vans lo ha reafirmado en su reciente visita a la isla danesa. Su posición estratégica entre el Atlántico y el Ártico y sus recursos naturales también atraen a China, Rusia y la Unión Europea. Mientras tanto sus casi 60.000 habitantes se encuentran ante un dilema complejo: elegir entre avanzar hacia la independencia o aceptar una mayor influencia de Estados Unidos. En este episodio hablamos con el periodista Carlos Torralba que cubre los países nórdicos en el periódico y que ha estado recientemente en Nuuk, la capital de Groenlandia. CRÉDITOS Realizado por: Elsa Cabria Presenta: Marta Curiel Edición: Marta Curiel y Ana Ribera Grabación en estudio: Nacho Taboada Diseño de sonido: Nicolás Tsabertidis Sintonía: Jorge Magaz Dirección: Silvia Cruz Lapeña PARA SABER MÁS La primera ministra de Dinamarca llega a Groenlandia para mostrar “unión” frente a la presión de Estados Unidos J. D. Vance, el ariete de la estrategia de Trump Si tienes quejas, dudas o sugerencias, escribe a defensora@elpais.es o manda un audio a +34 649362138 (no atiende llamadas).

On his mom's side, Woody LaBounty's San Francisco roots go back to 1850. In Part 1, get to know Woody, who, today, is the president and CEO of SF Heritage. But he's so, so much more than that. He begins by tracing his lineage back to the early days of the Gold Rush. His maternal great-great-great-grandfather arrived here mid-Nineteenth Century. Woody even knows what ship he was on and the exact day that it arrived in the recently christened city of San Francisco. On Woody's dad's side, the roots are about 100 years younger than that. His father grew up in Fort Worth, Texas (like I did). His dad's mom was single and fell on hard times in Texas. She came to San Francisco, where she had a step-brother. Woody's parents met at the Donut Bowl at 10th Avenue and Geary Boulevard (where Boudin Bakery is today). Donut Bowl was a combination donut shop/hot dog joint. At the time the two met, his dad worked as a cook there and his mom was in high school. His mom and her friends went to nearby Washington High and would hang out at the donut shop after school. The next year or so, his parents had their first kid—Woody. They came from different sides of the track, as it were. Woody's mom's family wasn't crazy about her dating his working-class dad, who didn't finish high school. But once his mom became pregnant with Woody, everything changed. The couple had two more sons after Woody. One of his brothers played for the 49ers in the Nineties and lives in Oregon today. His other brother works with underserved high school kids in New Jersey, helping them get into college. Woody shares some impressions of his first 10 years or so of life by describing The City in the mid-Seventies. Yes, kids played in the streets and rode Muni to Candlestick Park and The Tenderloin to go bowling. It was also the era of Patty Hearst and the SLA, Jonestown, and the Moscone/Milk murders. But for 10-year-old Woody, it was home. It felt safe, like a village. Because I'm a dork, I ask Woody to share his memories of when Star Wars came out. Obliging me, he goes on a sidebar about how the cinematic phenomenon came into his world in San Francisco. He did, in fact, see Star Wars in its first run at the Coronet. He attended Sacred Heart on Cathedral Hill when it was an all-boys high school. He grew up Catholic, although you didn't have to be to go to one of SF's three Catholic boys' high schools. Woody describes, in broad terms, the types of families that sent their boys to the three schools. Sacred Heart was generally for kids of working-class folks. After school, if they didn't take Muni back home to the Richmond District, Woody and his friends might head over to Fisherman's Wharf to play early era video games. Or, most likely, they'd head over to any number of high schools to talk to girls. Because parental supervision was lacking, let's say, Woody and his buddies also frequently went to several 18+ and 21+ spots. The I-Beam in the Haight, The Triangle in the Marina, The Pierce Street Annex, Enrico's in North Beach, Mabuhay Gardens. There, he saw bands like The Tubes and The Dead Kennedy's, although punk wasn't really his thing. Woody was more into jazz, RnB, and late-disco. We chat a little about café culture in San Francisco, something that didn't really exist until the Eighties. To this day, Woody still spends his Friday mornings at Simple Pleasures Cafe. And we end Part 1 with Woody's brief time at UC Berkeley (one year) and the real reason he even bothered to try college. Check back next week for Part 2 with Woody LaBounty. And this Thursday, look for a bonus episode all about We Players and their upcoming production of Macbeth at Fort Point. We recorded this episode in Mountain Lake Park in March 2025. Photography by Jeff Hunt

The world of 3D printing is continuously evolving, showcasing innovative technologies that redefine manufacturing and prototyping. Mike Baker from Formlabs, a leader in professional 3D printing, unveiled two cutting-edge printing technologies: Stereolithography (SLA) and Selective Laser Sintering (SLS). These technologies not only enhance the capabilities of 3D printing but also expand its applications across various industries.Stereolithography (SLA) PrintingSLA printing is a resin-based technology that has gained significant traction in both professional and hobbyist circles. Unlike traditional filament-based 3D printing, which utilizes thermoplastic filaments, SLA begins with a liquid vat of resin. This resin is cured layer by layer using ultraviolet light, resulting in highly detailed and intricate designs. Baker demonstrated this process by showcasing a helmet that was printed in a single piece, highlighting the impressive detail and smooth finish achievable with SLA technology.The advantages of SLA printing are manifold. The ability to produce complex geometries with fine details makes it ideal for prototyping, especially in industries such as jewelry design, dental applications, and product development. The versatility of resin materials also allows for the creation of parts with various properties, including flexibility and durability. As Baker noted, the SLA process enables creators to build prototypes or unique parts in a fraction of the time it would take using traditional manufacturing methods.Selective Laser Sintering (SLS) PrintingIn contrast to SLA, Formlabs showed off SLS technology, which employs a different approach by using nylon powder as its primary material. The process involves a large build volume filled with powder, where a laser selectively sinters or melts the powder to create solid parts. Baker showcased a complex model featuring moving hinges and functional locks, which exemplified the capabilities of SLS technology. The absence of support structures in SLS printing is a significant advantage, as it allows for the creation of intricate designs without the need for additional assembly. This feature not only saves time but also reduces the risk of errors that can occur during the assembly process.SLS printing is particularly beneficial for producing durable, functional prototypes and end-use parts. Its ability to create intricate designs with moving components opens up new possibilities for industries such as automotive, aerospace, and consumer products. The robustness of SLS-printed parts makes them suitable for real-world applications, further establishing 3D printing as a viable manufacturing solution. Formlabs' SLS printers are able to produce models in a fraction of the time of other methods, speeding up the design process.Take, for example, the case of Black Diamond, a company known for its ergonomic climbing helmets. With the ability to produce 30 iterations of a helmet design in just one month, Black Diamond exemplifies how rapid prototyping can lead to superior product outcomes. The iterative process allows designers to gather user feedback, refine their designs, and ultimately create a product that resonates with consumers. This agility in design is crucial in today's fast-paced market, where the ability to adapt and innovate can mean the difference between success and failure.ConclusionThe innovations in 3D printing technologies, as highlighted by Mike Baker from Formlabs, demonstrate the transformative potential of SLA and SLS printing. These technologies not only enhance the quality and complexity of printed parts but also streamline the production process, making it more efficient and cost-effective. As industries continue to embrace 3D printing, the possibilities for design and manufacturing are virtually limitless. The remarkable capabilities of these technologies signify a new era in production, where creativity and functionality converge to meet the demands of modern design and engineering.Interview by Marlo Anderson of The Tech Ranch.Sponsored by: Get $5 to protect your credit card information online with Privacy. Amazon Prime gives you more than just free shipping. Get free music, TV shows, movies, videogames and more. The most flexible tools for podcasting. Get a 30 day free trial of storage and statistics.

The world of 3D printing is continuously evolving, showcasing innovative technologies that redefine manufacturing and prototyping. Mike Baker from Formlabs, a leader in professional 3D printing, unveiled two cutting-edge printing technologies: Stereolithography (SLA) and Selective Laser Sintering (SLS). These technologies not only enhance the capabilities of 3D printing but also expand its applications across various industries.Stereolithography (SLA) PrintingSLA printing is a resin-based technology that has gained significant traction in both professional and hobbyist circles. Unlike traditional filament-based 3D printing, which utilizes thermoplastic filaments, SLA begins with a liquid vat of resin. This resin is cured layer by layer using ultraviolet light, resulting in highly detailed and intricate designs. Baker demonstrated this process by showcasing a helmet that was printed in a single piece, highlighting the impressive detail and smooth finish achievable with SLA technology.The advantages of SLA printing are manifold. The ability to produce complex geometries with fine details makes it ideal for prototyping, especially in industries such as jewelry design, dental applications, and product development. The versatility of resin materials also allows for the creation of parts with various properties, including flexibility and durability. As Baker noted, the SLA process enables creators to build prototypes or unique parts in a fraction of the time it would take using traditional manufacturing methods.Selective Laser Sintering (SLS) PrintingIn contrast to SLA, Formlabs showed off SLS technology, which employs a different approach by using nylon powder as its primary material. The process involves a large build volume filled with powder, where a laser selectively sinters or melts the powder to create solid parts. Baker showcased a complex model featuring moving hinges and functional locks, which exemplified the capabilities of SLS technology. The absence of support structures in SLS printing is a significant advantage, as it allows for the creation of intricate designs without the need for additional assembly. This feature not only saves time but also reduces the risk of errors that can occur during the assembly process.SLS printing is particularly beneficial for producing durable, functional prototypes and end-use parts. Its ability to create intricate designs with moving components opens up new possibilities for industries such as automotive, aerospace, and consumer products. The robustness of SLS-printed parts makes them suitable for real-world applications, further establishing 3D printing as a viable manufacturing solution. Formlabs' SLS printers are able to produce models in a fraction of the time of other methods, speeding up the design process.Take, for example, the case of Black Diamond, a company known for its ergonomic climbing helmets. With the ability to produce 30 iterations of a helmet design in just one month, Black Diamond exemplifies how rapid prototyping can lead to superior product outcomes. The iterative process allows designers to gather user feedback, refine their designs, and ultimately create a product that resonates with consumers. This agility in design is crucial in today's fast-paced market, where the ability to adapt and innovate can mean the difference between success and failure.ConclusionThe innovations in 3D printing technologies, as highlighted by Mike Baker from Formlabs, demonstrate the transformative potential of SLA and SLS printing. These technologies not only enhance the quality and complexity of printed parts but also streamline the production process, making it more efficient and cost-effective. As industries continue to embrace 3D printing, the possibilities for design and manufacturing are virtually limitless. The remarkable capabilities of these technologies signify a new era in production, where creativity and functionality converge to meet the demands of modern design and engineering.Interview by Marlo Anderson of The Tech Ranch.Sponsored by: Get $5 to protect your credit card information online with Privacy. Amazon Prime gives you more than just free shipping. Get free music, TV shows, movies, videogames and more. The most flexible tools for podcasting. Get a 30 day free trial of storage and statistics.

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

La fiscalité est au cœur des débats économiques et politiques. Alors que certains plaident pour une augmentation des impôts afin de financer les services publics et rembourser la dette, d'autres redoutent une fuite des capitaux et un frein à l'investissement. À l'occasion du 13ème Printemps de l'économie à Paris, Éco d'ici Éco d'ailleurs ouvre le débat.

La fiscalité est au cœur des débats économiques et politiques. Alors que certains plaident pour une augmentation des impôts afin de financer les services publics et rembourser la dette, d'autres redoutent une fuite des capitaux et un frein à l'investissement. À l'occasion du 13ème Printemps de l'économie à Paris, Éco d'ici Éco d'ailleurs ouvre le débat.

Comme en 2024, je fais un pas de côté avec cet épisode dans le cadre du Podcasthon. Le Podcasthon c'est cette opération qui réunit des centaines de podcasteurs en France ainsi qu'à l'étranger et qui permet de mettre en avant des associations.Cette année, je mets à l'honneur l'association Les Invincibles. Créée en juin 2023, ses membres mènent des actions pour aider des malades atteints de SLA. SLA pour Sclérose latérale amyotrophique ou encore maladie de Charcot. En plus du soutien aux personnes atteintes, ils financent directement la recherche pour comprendre la maladie et développer des traitements.Pour mieux comprendre tout ça, j'ai rencontré le président de l'association et sa femme, Ludovic et Clarisse Besombes. Ludovic est lui-même atteint de la maladie (ayant perdu l'usage de la parole, il communique maintenant grâce à un ordinateur) et avec Clarisse ils font un travail de titan que je suis très heureux de partager avec vous aujourd'hui. J'ai également rencontré Sévérine Boillée, chercheuse à l'Institut du Cerveau qui va nous permettre de lever le voile sur cette maladie et d'en saisir les mécanismes.Et comme un Podcasthon ne serait rien sans une aide concrète, je vous invite à cliquer sur le lien suivant pour contribuer à la collecte de dons en faveur des Invincibles :

Au programme, 30 chansons qui ont marqué les trois décennies de l'émission : Ismaël Lo, Alliance Ethnik, Koffi Olomidé, Papa Wemba, Slaï, Kaysha, Danialou Sagbohan, Alan Cave, Youssou Ndour, Longue Longue, NTM feat Lors Kossity, Muzion, Bisso Na Bisso, Toofan, Franco,Dj Jacob, Ardiess Posse, BOB Family, As Dj, Talino Manu, Extra Musica, Fally Ipupa, Fanny J, Richard Flash, Sekouba Bambino, Smarty, Innoss B, King Mensah, Tiken Jah Fakoly, Yemi Alade et Joe Dwet Filé. Pour visionner les clips, cliquez sur les titres des chansons : Ismaël Lo - Jammu AfricaAlliance Ethnik - RespectKoffi Olomidé - LoiPapa Wemba - Show me the waySlaï - FlammeKaysha feat. Mike Organiz' - Bounce babyDanialou Sagbohan - ZemihinAlan Cave - Se pa pou datYoussou Ndour - BirimaLongue Longue - Ayo AfricaNTM feat Lors Kossity - Ma benzMuzion - La vi ti nègBisso Na Bisso - BissoToofan - DélogerFranco - Coller la petiteDj Jacob feat Erickson le Zulu - RéconciliationArdiess Posse - AgbandoBOB Family - KeskiyaAs Dj - Tango tangoTalino Manu - ZephiraExtra Musica - ObligatoireFally Ipupa feat Benji (Neg Marrons) - So.pe.kaFanny J - Ancrée à ton portRichard Flash - Je veuxSekouba Bambino - Famou (remix)Smarty - Le chapeau du chefInnoss B - Yo peKing Mensah - SessiméTiken Jah Fakoly - Plus rien ne m'étonneYemi Alade - JohnnyJoe Dwet Filé - 4 KampéRetrouvez notre playlist sur Deezer. 

Au programme, 30 chansons qui ont marqué les trois décennies de l'émission : Ismaël Lo, Alliance Ethnik, Koffi Olomidé, Papa Wemba, Slaï, Kaysha, Danialou Sagbohan, Alan Cave, Youssou Ndour, Longue Longue, NTM feat Lors Kossity, Muzion, Bisso Na Bisso, Toofan, Franco,Dj Jacob, Ardiess Posse, BOB Family, As Dj, Talino Manu, Extra Musica, Fally Ipupa, Fanny J, Richard Flash, Sekouba Bambino, Smarty, Innoss B, King Mensah, Tiken Jah Fakoly, Yemi Alade et Joe Dwet Filé. Pour visionner les clips, cliquez sur les titres des chansons : Ismaël Lo - Jammu AfricaAlliance Ethnik - RespectKoffi Olomidé - LoiPapa Wemba - Show me the waySlaï - FlammeKaysha feat. Mike Organiz' - Bounce babyDanialou Sagbohan - ZemihinAlan Cave - Se pa pou datYoussou Ndour - BirimaLongue Longue - Ayo AfricaNTM feat Lors Kossity - Ma benzMuzion - La vi ti nègBisso Na Bisso - BissoToofan - DélogerFranco - Coller la petiteDj Jacob feat Erickson le Zulu - RéconciliationArdiess Posse - AgbandoBOB Family - KeskiyaAs Dj - Tango tangoTalino Manu - ZephiraExtra Musica - ObligatoireFally Ipupa feat Benji (Neg Marrons) - So.pe.kaFanny J - Ancrée à ton portRichard Flash - Je veuxSekouba Bambino - Famou (remix)Smarty - Le chapeau du chefInnoss B - Yo peKing Mensah - SessiméTiken Jah Fakoly - Plus rien ne m'étonneYemi Alade - JohnnyJoe Dwet Filé - 4 KampéRetrouvez notre playlist sur Deezer. 

In this episode, Dr. Jennifer Noonan talks about "Factors that Affect Vocab Acquisition" in this SLA section of the podcast. This is stuff you don't want to miss! Tune in for part 2! ***GlossaHouse resources are available at our website! - https://glossahouse.com/✏️ ***Sign up for classes with GlossaHouse U - https://glossahouse.com/pages/classes

La taxation du chocolat en France est un exemple frappant de la complexité fiscale liée à la Taxe sur la Valeur Ajoutée (TVA). Cette complexité résulte de la classification détaillée des produits chocolatés, chacun étant soumis à un taux de TVA spécifique en fonction de sa composition, de sa présentation et de son utilisation prévue.1. Taux de TVA applicables au chocolatEn France, les principaux taux de TVA applicables sont :Taux normal de 20 % : Il s'applique à la majorité des biens et services.Taux réduit de 5,5 % : Destiné aux produits considérés comme de première nécessité, notamment certains produits alimentaires.2. Classification détaillée des produits chocolatésLa détermination du taux de TVA applicable aux produits chocolatés dépend de plusieurs critères spécifiques :Chocolat noir : Considéré comme un produit de première nécessité, il est soumis au taux réduit de 5,5 %.Chocolat noir fourré : Malgré sa base de chocolat noir, le fait qu'il soit fourré le soumet au taux normal de 20 %.Chocolat au lait et chocolat blanc : Ces variétés sont taxées au taux normal de 20 %.Chocolat de ménage au lait : Destiné à être fondu pour des préparations pâtissières, il bénéficie du taux réduit de 5,5 %.Bonbons de chocolat : Les produits de la taille d'une bouchée (moins de 20 grammes et 5 centimètres) contenant au moins 25 % de chocolat sont soumis au taux réduit de 5,5 %.Orangettes : Ces confiseries à base d'écorces d'orange confites enrobées de chocolat bénéficient du taux réduit de 5,5 %, même si leur longueur dépasse légèrement 5 centimètres.Pâtes à tartiner : Les pâtes à tartiner contenant du chocolat, comme le Nutella, sont taxées au taux réduit de 5,5 %.Assortiments de chocolats : Lorsqu'un assortiment contient des produits soumis à des taux de TVA différents, une ventilation est nécessaire pour appliquer le taux approprié à chaque composant. Si cette ventilation n'est pas possible, le taux le plus élevé s'applique à l'ensemble.Chocolats de Pâques : Les moulages en chocolat noir sont soumis au taux réduit de 5,5 %. Cependant, si ces moulages sont garnis de produits soumis au taux normal de 20 %, une ventilation des taux est nécessaire.Produits enrobés de chocolat : Les produits où le chocolat représente moins de 25 % du poids total, même s'ils sont de la taille d'une bouchée, sont soumis au taux normal de 20 %.3. Conséquences et critiquesCette multitude de classifications entraîne une complexité administrative pour les producteurs, les distributeurs et les autorités fiscales. Dominique Schelcher, directeur général de Système U, a critiqué cette situation en déclarant que le chocolat compte "pas moins de 10 catégories fiscales pour son taux de TVA", illustrant ainsi la complexité bureaucratique entourant ce produit.Cette complexité peut également prêter à confusion pour les consommateurs, qui ne sont pas toujours informés des différences de taxation selon les types de chocolat. Par exemple, une tablette de chocolat noir est taxée à 5,5 %, tandis qu'une tablette de chocolat au lait est taxée à 20 %, sans que cette distinction soit nécessairement visible sur le prix final... Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Before Patty Hearst appeared as an actress in John Waters' movies, she captivated America on the silver screen as a hostage terrorized by the Symbionese Liberation Army. When the newspaper heiress was kidnapped by the radical organization in 1974, the country sympathized with her plight. But after just a few months, the SLA's guns weren't pointing at Patty anymore. Suddenly, Patty was firing her own weapons during fistfights and bank robberies as a member of the same terrorist group that once kept her locked in a closet. In court, Patty claimed she was brainwashed and that she played along for her own safety. It's true that Patty Hearst gave the performance of a lifetime — but we still don't know which part of her life was the performance. This episode contains themes that may be disturbing to some listeners, including graphic depictions of violence. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

¡El único noticiero que te manda un abrazo está de aniversario! Este mes cumplimos CINCO AÑOS y para celebrarlo estamos organizando un minifestival con el EQUIPO DE LA ENCERRONA e INVITADOS SORPRESA. Entrada general: S/ 100.00 ¡50% de DESCUENTO para Premiums y Patreons! Para más información e inscripciones, ingresa aquí: Si eres patreon: https://www.patreon.com/posts/123811406 Si eres premium de Canal Ya: https://www.youtube.com/channel/UCP0AJJeNkFBYzegTTVbKhPg/community?lb=UgkxTx-hPMFZqgD6q47CKlOHezCUc8I7Worw Si aún no eres suscriptor: https://docs.google.com/forms/d/e/1FAIpQLSfsqVF-RugljrIROxOpewGgUF-TZ8ncDcf8ft4LzS5WmrwWxg/viewform?usp=sharing (Puede pedir loguearse en Google) *** ¡Buenos días! 🛑 Hasta aquí nomás. Santiváñez debe irse. Más de 1800 peruanos víctimas de homicidio en su gestión. El último: Paul Flores, de Armonía 10. ADEMÁS: La hipocresía del pacto. MIENTRAS TANTO: 🤳 La historia de los selfies de Dina enviados a su "amor". TAMBIÉN: Se confirman las CUATRO operaciones estéticas de la presidenta. Y... 🎭 Sobre la ola intolerante y conservadora contra el arte –y en especial, contra el teatro– conversamos con Alberto ísola y Pepa Duarte. **** ¿Te gustó este episodio? ¿Buscas las fuentes de los datos mencionados hoy? SUSCRÍBETE en http://patreon.com/ocram para acceder a nuestros GRUPOS EXCLUSIVOS de Telegram y WhatsApp. También puedes hacerte MIEMBRO de nuestro canal de YouTube aquí https://www.youtube.com/channel/UCP0AJJeNkFBYzegTTVbKhPg/join **** Únete a nuestro CANAL de WhatsApp aquí https://whatsapp.com/channel/0029VaAgBeN6RGJLubpqyw29 **** Para más información legal: http://laencerrona.pe

Deze aflevering had beter kunnen heten 'De sweet spot tussen fashion en 'wat ben jij nou aan het doen'?' Maar dat is een te lange titel. Plus, iedereen heeft het over Roxy Dekker, dus dat zal wel werken. Tevens, 'Waarom likt iedereen aan Oma Pluis' klinkt toch een beetje goor. Het antwoord is trouwens wel grappig. Over Roxy Dekker gesproken, Alex heeft heel casual een vers trauma. Maar dat drukken we een beetje weg in de aflevering, as you do met trauma's. Niet Roxy Dekker maar Nynke mag zingen op het Boekenbal (Mama, I made it!) en neemt Hanneke mee als coach. Anne draagt geen spijkerbroeken meer en Alex heeft een geschil. We hebben het nauwelijks over leverworst, wel over Roxy Dekker.Groeten!Anne, Hanneke, Nynke en karma's favoriete slachtoffer-Sponsor: Bamigo!De nieuwe collectie herenboxershorts is gearriveerd: het comfort dat je gewend bent van Bamigo, verpakt in de mooiste seizoenskleuren. Je vindt de sets hier: https://bamigo.com/nl/heren/new Luisteraars van deze podcast ontvangen maar liefst 25% korting op de gehele collectie – dus ook op de nieuwste boxershorts - met de code IEMAND5. Sla je slag!Zie het privacybeleid op https://art19.com/privacy en de privacyverklaring van Californië op https://art19.com/privacy#do-not-sell-my-info.

Le groupe Virgin, dirigé par le milliardaire britannique Richard Branson, se prépare à concurrencer Eurostar en lançant un nouveau service ferroviaire transmanche. Cette initiative vise à briser le monopole qu'Eurostar détient depuis trois décennies sur les liaisons ferroviaires à grande vitesse entre le Royaume-Uni et l'Europe continentale.Stratégie de financement et d'investissementPour concrétiser ce projet ambitieux, Virgin cherche à lever 700 millions de livres sterling (environ 900 millions de dollars), répartis en 300 millions de livres en fonds propres et 400 millions en dette. Le groupe prévoit d'être un investisseur majeur dans ce projet, démontrant ainsi son engagement à long terme. Réseau envisagé et calendrier de lancementLe plan de Virgin consiste à établir un service à haute fréquence reliant Londres à Paris et Bruxelles, avec une extension future vers Amsterdam. L'objectif est de lancer ce service d'ici la fin de la décennie, offrant ainsi une alternative directe aux voyageurs entre ces grandes capitales européennes. Contexte concurrentiel et opportunitésLa libéralisation du réseau ferroviaire européen a ouvert la voie à de nouveaux entrants sur le marché des trains à grande vitesse. Cette ouverture stimule la concurrence, ce qui pourrait se traduire par une augmentation des services et une réduction des coûts pour les voyageurs. Défis à releverMalgré les opportunités, Virgin doit surmonter plusieurs obstacles pour concrétiser son projet. L'un des principaux défis est l'accès au dépôt de maintenance de Temple Mills, situé à l'est de Londres, essentiel pour l'entretien des trains à grande vitesse transmanche. Eurostar, actuel utilisateur de ce dépôt, a exprimé des réserves quant à la capacité d'accueillir d'autres opérateurs, ce qui a conduit Virgin à déposer une plainte auprès de l'Office of Rail and Road (ORR), le régulateur ferroviaire britannique. Réaction d'Eurostar et perspectives futuresEurostar a accueilli favorablement le développement des services ferroviaires en Europe, reconnaissant que la concurrence dans le secteur des trains à grande vitesse reflète une demande croissante pour le transport ferroviaire en Europe. Si Virgin parvient à surmonter les défis actuels et à lancer son service, les consommateurs pourraient bénéficier d'une plus grande variété de choix, potentiellement de tarifs plus compétitifs et d'une amélioration générale des services sur les liaisons transmanche. Cette initiative pourrait également inciter Eurostar à innover et à améliorer ses offres pour maintenir sa position sur le marché.En conclusion, le projet de Virgin de concurrencer Eurostar représente une évolution significative dans le paysage du transport ferroviaire européen. Bien que des défis subsistent, l'entrée de nouveaux acteurs comme Virgin pourrait transformer le marché, offrant aux voyageurs plus d'options et stimulant l'innovation dans le secteur. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Épisode 1277 : Youtube, est une plateforme sociale qui se socialise de jour en jour et qui est née avec une cuiller en argent dans la bouche. Cette chance à la naissance, c'est d'appartenir à Google.;Le secret de Youtube c'est le piston, car depuis toujours son fonctionnement est basé sur le SEO !Sauf que sauf que, palteforme sociale oblige, on retrouve quand meme une bonne part de SMOUne étude récente menée par Adilo sur le classement des vidéos YouTube en 2025Étude sur 1,6 million de vidéos dans le but de comprendre la mécanique de classement des 3 premiers résultats Elle crée un lien très fort entre les données social media et le référencementhttps://adilo.com/blog/youtube-seo-study/Il n'y a pas de logique de canibalisation des contenus s'ils utilisent les mêmes mots clefsOpportunité : Créer plusieurs vidéos YouTube pour des mots clés ciblésLa cannibalisation des mots-clés n'est pas un problème sur YouTube.Encouragez les taux d'engagement des chaînes et des vidéosLes taux d'engagement des chaînes et des vidéos sont des facteurs clés de classement dans la recherche de vidéos sur YouTube.Le taux d'engagement moyen des vidéos YouTube dans tous les secteurs est de 0,09 % . Evitez les vidéos trop longues536 secondes (8 à 9 minutes) est la durée médiane des vidéos YouTube dans les trois premières positions.Les descriptions des vidéos doivent comporter entre 200 et 250 motsNous avons observé que 98 % des trois vidéos YouTube les mieux classées comportent une description de la vidéo et que le nombre moyen de mots est de 222.Ajoutez des liens dans les descriptions des vidéos et sur votre chaineL'étude a révélé que 78 % des trois vidéos YouTube les mieux classées contiennent des liens externes dans leurs descriptions.Si c'est absolument contreproductif en social media, en SEO il est très important d'avoir des liens internes vers d'autres pages de son site pour constituer un maillage d'information interne.Les Sous titres :Notre étude SEO sur YouTube a révélé la présence de sous-titres dans 93,7 % des trois premières vidéos YouTubeMiniatures personnalisées89,3 % des 3 vidéos YouTube les mieux classées les utilisent.Horodatages63 % des vidéos classées dans les trois premières places comportent des horodatages.La transcription vidéo :94 % des vidéos YouTube classées entre la troisième et la première position sont accompagnées d'une transcription vidéo. YouTube privilégie les titres alignés sur l'intention de recherche75 % des vidéos les mieux classées s'appuient sur des mots clés liés, plus en phase avec l'intention de recherche. Ce qui suggère que YouTube valorise davantage la pertinence du contenu.Retrouvez toutes les notes de l'épisode sur www.lesuperdaily.com ! . . . Le Super Daily est le podcast quotidien sur les réseaux sociaux. Il est fabriqué avec une pluie d'amour par les équipes de Supernatifs. Nous sommes une agence social media basée à Lyon : https://supernatifs.com. Ensemble, nous aidons les entreprises à créer des relations durables et rentables avec leurs audiences. Ensemble, nous inventons, produisons et diffusons des contenus qui engagent vos collaborateurs, vos prospects et vos consommateurs. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

In this episode, Dr. Jennifer Noonan talks about "Factors that Affect Vocab Acquisition" in this SLA section of the podcast. This is stuff you don't want to miss! Tune in as she comments on the importance of Motivation and Noticing while learning vocabulary words. ***GlossaHouse resources are available at our website! - https://glossahouse.com/✏️ ***Sign up for classes with GlossaHouse U - https://glossahouse.com/pages/classes

Do you find yourself saying: “Hey, what's the big idea with that newfangled whole blood in the refrigerator next to the trauma bay?”  Like using whole blood but not sure why?  Don't like using whole blood but not sure why? Join us for a 30 minute power session in whole blood where we try to get you the information you need to know! Hosts: - Michael Cobler-Lichter, MD, PGY4/R2: University of Miami/Jackson Memorial Hospital/Ryder Trauma Center @mdcobler (X/twitter) - Eva Urrechaga, MD, PGY-8, Vascular Surgery Fellow University of Pennsylvania Recent graduate of University of Miami/Jackson Memorial Hospital/Ryder Trauma Center General Surgery Residency @urrechisme (X/twitter) - Eugenia Kwon, MD, Trauma/Surgical Critical Care Attending: Loma Linda University  Recent graduate of University of Miami/Jackson Memorial Hospital/Ryder Trauma Center Trauma/CC Fellowship - Jonathan Meizoso, MD, MSPH Assistant Professor of Surgery, 6 years in practice University of Miami/Jackson Memorial Hospital/Ryder Trauma Center @jpmeizoso (twitter) Learning Objectives: - Describe the proposed benefits of whole blood resuscitation in trauma -  Identify current problems with synthesizing the existing literature on whole blood resuscitation in trauma - Propose needed areas for future research regarding whole blood resuscitation in trauma Quick Hits: 1. There is significant heterogeneity in study design across whole blood resuscitation studies, complicating comparison 2.  There is likely a mortality benefit to whole blood resuscitation in trauma, however this is likely dependent on the specific population 3. Future research directions should focus on prospective randomized work to try and better quantify the exact benefit of whole blood, and determine in which populations this benefit is actually realized References 1.     Hazelton JP, Ssentongo AE, Oh JS, Ssentongo P, Seamon MJ, Byrne JP, Armento IG, Jenkins DH, Braverman MA, Mentzer C, Leonard GC, Perea LL, Docherty CK, Dunn JA, Smoot B, Martin MJ, Badiee J, Luis AJ, Murray JL, Noorbakhsh MR, Babowice JE, Mains C, Madayag RM, Kaafarani HMA, Mokhtari AK, Moore SA, Madden K, Tanner A 2nd, Redmond D, Millia DJ, Brandolino A, Nguyen U, Chinchilli V, Armen SB, Porter JM. Use of Cold-Stored Whole Blood is Associated With Improved Mortality in Hemostatic Resuscitation of Major Bleeding: A Multicenter Study. Ann Surg. 2022 Oct 1;276(4):579-588. doi: 10.1097/SLA.0000000000005603. Epub 2022 Jul 18. PMID: 35848743. https://pubmed.ncbi.nlm.nih.gov/35848743/ 2.     Sperry JL, Cotton BA, Luther JF, Cannon JW, Schreiber MA, Moore EE, Namias N, Minei JP, Wisniewski SR, Guyette FX; Shock, Whole Blood, and Assessment of Traumatic Brain Injury (SWAT) Study Group. Whole Blood Resuscitation and Association with Survival in Injured Patients with an Elevated Probability of Mortality. J Am Coll Surg. 2023 Aug 1;237(2):206-219. doi: 10.1097/XCS.0000000000000708. Epub 2023 Apr 11. PMID: 37039365; PMCID: PMC10344433. https://pubmed.ncbi.nlm.nih.gov/37039365/ 3.     Meizoso JP, Cotton BA, Lawless RA, et al. Whole blood resuscitation for injured patients requiring transfusion: A systematic review, meta-analysis, and practice management guideline from the Eastern Association for the Surgery of Trauma. J Trauma Acute Care Surg. 2024;97(3):460-470. doi:10.1097/TA.0000000000004327 https://pubmed.ncbi.nlm.nih.gov/38531812/ Please visit https://behindtheknife.org to access other high-yield surgical education podcasts, videos and more.   If you liked this episode, check out our recent episodes here: https://app.behindtheknife.org/listen

March 3, 2025: Dave Dyell, Managing Partner of Innovative Consulting Group, explores how healthcare organizations effectively rationalize their application portfolios in just 8-10 weeks. What strategies can CIOs employ to identify application overlap and recover significant cost savings through contract and SLA management? Dyell reveals how CIOs can secure executive support by demonstrating their organization's actual AI preparedness with tangible data rather than assumptions. Key Points:01:12 Application Rationalization04:12 Contract Management and SLA Insights06:16 AI Readiness ProgramSubscribe: This Week HealthTwitter: This Week HealthLinkedIn: This Week HealthDonate: Alex's Lemonade Stand: Foundation for Childhood Cancer

In this episode, Dr. Jennifer Noonan talks about and answers the question "What does it mean to "know" a word?" in this SLA section of the podcast. This is stuff you don't want to miss! ***GlossaHouse resources are available at our website! - https://glossahouse.com/✏️ ***Sign up for classes with GlossaHouse U - https://glossahouse.com/pages/classes

As a property management business owner, how do you find the best people to build an effective sales team? In this episode of the #DoorGrowShow Podcast, property management growth expert Jason Hull sits down with Bob Lachance, founder of REVA Global, to talk about how you can utilize virtual assistants for lead generation and growth. You'll Learn [01:22] Identifying a Need in the Real Estate Industry [08:53] How to Utilize VAs in Your Business [14:35] Creating a Hiring System in Your Business [19:30] Using VAs for Lead Generation  Tweetables “When marketing consistently goes out, what we find is all those leads end up piling up.” “Over 70% of all sales never happen on the first touch.” “People want to do business with people they see, feel, touch, and like.” “Property management can definitely be death by a thousand cuts.” Resources DoorGrow and Scale Mastermind DoorGrow Academy DoorGrow on YouTube DoorGrowClub DoorGrowLive TalkRoute Referral Link Transcript [00:00:00] Bob: Virtual assistants are a big part of anyone's business. In my opinion today, I think you got to start looking at that because small businesses, a lot of times, especially when we start, we are on a tight budget.  [00:00:12] Jason: Welcome DoorGrow property managers to the DoorGrow Show. If you are a property management entrepreneur that wants to add doors, make a difference, increase revenue, help others impact lives, and you are interested in growing in business and life, and you're open to doing things a bit differently, then you are a DoorGrow property manager DoorGrow property managers love the opportunities daily variety unique challenges and freedom that property management brings. Many in real estate think you're crazy for doing it. You think they're crazy for not because you realize that property management is the ultimate high trust gateway to real estate deals, relationships and residual income. At DoorGrow, we are on a mission to transform property management business owners and their businesses. We want to transform the industry, eliminate the BS, build awareness, change perception, expand the market, and help the best property management entrepreneurs win. I'm your host, property management growth expert, Jason Hull, the founder and CEO of DoorGrow. [00:01:10] Jason: Now let's get into the show. And today's guest is Bob. Do you say Lachance?  [00:01:18] Jason: Lachance. Yep. Lachance.  [00:01:20] Jason: I nailed it. All right. So Bob, great to have you on the show. And, Bob, you are helping people discover the top marketing channels that can maximize lead generation when working with VAs. And so we're going to chat a bit about that today before we get into that, tell everybody a little bit about you, how you got into entrepreneurism and what led you to what you're doing now.  [00:01:43] Bob: Yeah. So right now I'll just start right now. I have a real estate investment company as well. And I have a virtual assistant staffing company, so I use my VAs in my own business. So I have a rental portfolio as well as a buy sell fix flip company here in Connecticut, doing a couple of different states, but I started back about 20, 21 years ago now back in 2004. [00:02:06] Bob: I played professional hockey prior to that for eight years and then got into real estate. And you know, from real estate, helped start an education program while I was, you know, working on properties. I did a lot of, you know, fixed flip wholesaling, all that kind of good stuff. This is, again, I'm dating myself, but this is back in 2004. [00:02:25] Bob: And through the process, when I helped start this education company there was a huge need in the industry, just like you, right? You see a need out there. And I'm a lot like you on that side of it, helping people and figuring out, you know, where they could. Create passive income or income in general. [00:02:42] Bob: So, during the coaching program, while I was in it, I realized there was a huge need. Majority of the students that I coached didn't have the time to actually put into their real estate business because they were either working part time or full time. They just needed to, you know, they needed help. And for years, upon years, I was looking for a solution for that. [00:03:01] Bob: Whether it was a product I didn't know back then, again, this is going back from 2007 to 2013. I didn't know there was any services out there, like what virtual assistants were. And then I got introduced back in 2013 what a virtual assistant was. You know what this could help my business So I hired my first one and then light bulb went on like, you know what we could turn this into a business I could take the back end of what it helps create which is the real estate education company And our students could use it to help them grow their business help scale help, you know, get your time and freedom back. So launched it in 2014 and then fast forward today you know 10 years later i've been in business for a while and I also have like I said my real estate investment company  [00:03:45] Jason: Nice. [00:03:46] Jason: Nice. All right. And so let's get into the topic at hand. So, we're going to talk a little bit about leveraging virtual assistants. And so how did you kind of start doing this yourself?  [00:03:58] Bob: Yeah well, when I first got into this, like I said I door knocked first, we didn't have the opportunity to have, you know, virtual assistants do some outbound stuff. [00:04:07] Bob: And I didn't understand, you know, I didn't understand what outsourcing was when I first started. It was just me. I had an individual who was my business partner back in the day, but first year I door knocked. I went from door to door, individuals that were behind on payments. So it wasn't the easiest job in the world, but it allowed you to understand how to build a business from ground up. [00:04:29] Bob: I think that was very important back then. So nowadays you can have virtual assistants do that, whether it's you know, cold calling, whether it's responding to direct mail, whether it's text messaging, whether it's social media, whether it's going out to, you know, Facebook marketplace and going right direct to seller, you also have rarely used now Craigslist, of course, but there's different ways to acquire and use your virtual assistant to do that. So that's just, again, a long and short.  [00:04:54] Jason: So go ahead and tell people a little bit about your company and what you help people do. And I'm really curious because this is usually a difficult thing for business owners to outsource. [00:05:05] Jason: Usually they'll outsource some of the lowest level stuff, and it's usually not towards growth, lead generation, outreach, stuff like that. Those pieces can be really difficult to get dialed in or to do effectively. And so, tell us a little bit about REVA global? Okay. Yeah.  [00:05:22] Bob: So, you know, like I said, we started back in 2014. [00:05:26] Bob: Like I said, I've been doing this for a long time and just to fast forward to what that looks like today and working with property managers, because obviously the individuals that are on your podcast here, I'll speak to them. And I know, you know, many people that also buy and hold also probably do fix and flip or also may wholesale, but it's kind of the same concept, but there's a lot of different tasks within it that virtual assistants can do. [00:05:50] Bob: So what I did is I broke up all the stuff that our VA is doing in my own business because you know, many individuals that are listening to this will relate to a company like ours because like I said, we have a real estate investment company, but we also use our VA's which I think is pretty cool. I think Nowadays, it's very important as a service provider like myself to use it to make sure it works so I think that's a pretty unique thing that we actually have. But what we do, we have virtual assistants that acquire, we call them like a department of acquisition. So if you're looking for leads, you could do cold calling, you do text blasting, you could do lead management. You know, lead management, a lot of us, I'm just like, you will have all these leads in your database, but if you don't get ahold of them the first time, your marketing is going to consistently go out. So when marketing consistently goes out, what we find is all those leads end up piling up. And if you try to reach out to them the first time, you know you have a very small percentage that are actually going to pick up the phone. Right? So you need somebody then that will continue to follow up on those leads. [00:06:57] Bob: And a national statistic is over 70% of all sales never happen on the first touch, right? So you have to continue. And I think that's probably 90 or 95 percent nowadays. So that's what we find in our office. And I know a lot of our clients say the same thing. So that number could change a little bit depending on what you read, but our experience in our office is over 90%. [00:07:21] Bob: So what I mean by that is the first touch, whether it's direct mail call or a cold call, whatever you do for direct mail or whatever you do for marketing, that first touch will not equate to a contract, so you're going to have somebody that's continuing to follow up with those individuals. Very important. [00:07:39] Bob: I wish I would have understood that stat when I first started real estate. But again, you know, you learn over time. Another stuff. If you look at other tasks as well, that works very well is marketing. Right social media management because you look at any type of business if you don't have marketing It's very difficult brand awareness, right people want to do business with people they see, feel, touch, and like so you need to make sure that you're out there You're out in the public's eye. [00:08:05] Bob: I think that's very important. I know you guys do a great job of that Jason on the marketing side of always being out there because I see in a lot of different places everywhere I'm looking online. So whoever's doing your stuff man, great job. So you're doing a fantastic job on that side of it. And then you go into leasing so if we look at property management you know driving leads is one thing, but you also have to, you know, close them. [00:08:27] Bob: So if it's you, me, or whoever's the one on the phone locking up those deals, it then goes to once you own them, you got leasing, you got move in, move out, you have collection, you have evictions, you have maintenance, you have accounts receivable, you have accounts payable, bookkeeping, accounting etc that fall underneath that property management umbrella, that virtual assistants are phenomenal to actually take on those tasks for you.  [00:08:52] Jason: Got it. Yeah. Yeah. So what's the typical process for somebody that could use some help from a company like yours? How do you engage them? [00:09:01] Jason: What's onboarding like? How does that work?  [00:09:03] Bob: I think for anybody who's looking to scale or looking to just get help in their business. You know, here in Connecticut, it's pretty interesting because if you're looking to hire someone in house, you start looking at what's going on with the world and what's going on with the economy in state of Connecticut, minimum wage is up to $15.69. [00:09:24] Bob: So when you start looking at that I know in my area, if I try to hire someone at minimum wage, they don't have a four year college degree. That's just not the highest level individual that you'd want working in your office. And so now you start looking at those things and what's happening around the country. [00:09:42] Bob: Virtual assistants are very are a big part of anyone's business. In my opinion today, I think you got to start looking at that because small businesses, a lot of times, especially when we start, we are on a tight budget. Right. And so for us to start to scale or start to grow or start to hire, we really need to look at what's going out, meaning out of our pocket. [00:10:04] Bob: So it's very important. So they first look at number one, what can we afford as small business owners? If we look at that number, now we start looking at what tasks in our business do not put money in our pocket. Right? And if you look in your world, meaning the property management world, it is a lot of the tasks like leasing, like taking calls from tenants, move in, move outs, eviction process when you're calling attorneys back and forth. What does that look like? There's just a lot of back and forth, right? Maintenance concerns. You get those all the time and those are the things that burn up your time. Your phone doesn't stop ringing. [00:10:44] Bob: So if your husband or wife wants to go on vacation with you and your phone doesn't stop ringing. That's going to put a lot of stress and a lot of challenges in your personal life to where, especially when you continue to grow. You have to put more systems and processes in your business. You know, if you had one house, that's one headache. [00:11:02] Bob: You had two, that's two headaches. You have a hundred, you have a hundred potential headaches that if you don't want to take those headaches on yourself, it's always good to have somebody else take those headaches before it gets to you.  [00:11:15] Jason: Yeah. Property management can definitely be death by a thousand cuts. [00:11:18] Bob: Yep.  [00:11:18] Jason: Yep. And if you get it really well dialed in though, yeah, it can be a really great residual income business model.  [00:11:25] Bob: So Very good. Very good. Well, two sides of it, right? You buy, right? You have an equity play there, right? And if you don't have to deal with the headache, you get the positive income, you get tax advantages, things like that. [00:11:36] Bob: So, I mean, I'm a huge advocate of buying and holding and property management because over time, the more, like you said, the more properties you actually hold, the bigger your income grows.  [00:11:48] Jason: Nice. Yeah. Cool. So, so I love this. There's lots of low level tasks. It does get really expensive trying to afford staff and team members and you don't want the cheapest or lowest level or worst people. [00:12:02] Jason: You know, in the United States representing your business. And so, sometimes you can get people at a fraction of the price point that have a lot more education that are a lot better. And so when you, any of the roles that are able to be done virtually, you open yourself up to a global marketplace rather than just your local city. [00:12:22] Jason: And so, yeah, so there's definitely advantages. So my entire team are virtual and I've got team members in various areas, Canada, Philippines. Egypt gosh, I don't know where else like all over the place and I've hired people over the past and just about everywhere. So yeah. And so, and so I'm not limited, so I'm able to just go find the best and I'm able to figure out, okay what can kind of fit into our budget and what can we afford in order to do that. [00:12:49] Bob: Right. And to your point, to get back to what that looks like, I mean, anyone in this world could go out and go source for their own candidates. You know, we set up a very unique system process. We have a whole sourcing and recruiting team. All my virtual assistants are in the Philippines. We set up a sourcing and recruiting team out of the Philippines, so they're Looking through, you know, thousands of resumes every single month sifting through and we're getting the best of those Resumes that come in as soon as they pass then they go through an interview process. [00:13:22] Bob: They pass the interview process They go to our training team and they train for about a month on various tasks property management tasks lead generation tasks, etc And then once they actually get to the end of that stage, they do another test and a lot of individuals do not pass our testing phase. And that's a positive thing because, you know, that's a way to kind of weed out the individuals that wouldn't make it, yeah, very good. [00:13:48] Bob: So, after that goes to our placements team and our placements team, it's kind of like match. com. They look at exactly what you're, you know, what the tasks are. And we do DISC profiling, things like that, and predictive index. And we look at the tasks that they're good at, and we match them exactly up with the client and the tasks that they're looking for. [00:14:05] Bob: So for instance, if someone's looking for a bookkeeper, you're not going to give them a profile that's a sales profile, right? You're going to, you're going to give them the correct profile. You put them together, they go through an interview process, and they pick the best candidate that fits within them so after that, it goes to our operations team. We have what we call a client service manager that helps manage the relationship between you and your va, so it's very streamlined. [00:14:27] Bob: You know, we tried every different business model there is out there and the model that we have right now seems to be the best model.  [00:14:34] Jason: Nice. Yeah, I always recommend if you're a property manager like watching this or listening if you don't have a really solid hiring process you have not like tested embedded and experimented with, then the best initial way to do hiring is to leverage other companies' hiring processes. Go and work with a company and there's lots of different companies I've worked with over the years to get people on my team, and then eventually we've built a really good process internally, but In the beginning, I do think every business eventually needs their own hiring system, but if you don't have a great robust hiring system that you can get candidates consistently, that you know are a good culture fit, a good skill fit for the role, a good personality fit for the role then you need to go leverage somebody else's hiring system. [00:15:20] Jason: So I would highly recommend, especially if you're going to dabble with VAs, especially in the Philippines or any other area, that you want to not be dealing with all the riff raff and the challenges and everything else. You want to have some help with this. So I highly recommend you leverage somebody else's hiring system. And they're going to help you not waste as much time and money for sure.  [00:15:46] Bob: And that's one of the things that's a great very great point because when you're first starting out or you're smaller. The best thing to do is learn off of others, right? [00:15:55] Bob: It's you'll walk through a company like mine. You say, "wow, what a great system." You know what? Document what we do and then implement it in your own business if you start growing. I think that is a fantastic idea, Jason, for that. Because, you know, you look at the biggest companies in the world. [00:16:09] Bob: They didn't just, you know, start being the biggest companies in the world or that, you know, it doesn't, you don't have to be the biggest, but they learned from somebody and they started implementing and they tested, you don't always get it right the first time. But after a while you will hone in and get that right. [00:16:24] Bob: So I 100 percent agree whether it's with our company or anybody else. Like I said, anyone could do anything themselves. It all depends on what you need help with at the beginning.  [00:16:34] Jason: Yeah. And it also depends on how long do you want to suck until you figure it out.  [00:16:40] Bob: That's true.  [00:16:41] Jason: Like so if you want to collapse time, I highly recommend. Because I know when I started experimenting with hiring in the Philippines. Like there's just things you don't even think to ask like we had to ask like where are you accessing the internet? [00:16:53] Jason: Is this like at a cafe at your home? Is it reliable? What kind of computer do you have? You know, we needed to be able to you know there's just so many little quality controls we had to implement in order to figure out if they would be a good candidate, I mean, I've had team members in the Philippines with chickens going off constantly in the background and roosters crowing and like all sorts of stuff and their internet going up and down and so you know, there's there's a lot of quality controls that I think need to be put in place because it's not America. We have a little bit more stability in our infrastructure and in our internet connections and everything else. [00:17:29] Jason: And so, and then, you know, it helps to have somebody that manages the relationship like your company, because a lot of times, in that culture, they can be a little bit shy, I think at times, or a little bit nervous about displeasing their employer or giving honest feedback. And so they tend to ghost or disappear. [00:17:49] Jason: People have talked about people in the Philippines doing this. And so having somebody manage that relationship as a liaison can help improve the results that you're getting from team members. And but the cost savings are awesome. I mean, it's like a third to a half of what you would get and you can get college educated people, you get people that have like lots and lots of experience and skill, and they are able to be paid very well for their area. [00:18:14] Jason: And for you, it's seems like a steal. So.  [00:18:17] Bob: And that's one of the things that we pride ourselves on. I mean, you nailed it. You touched upon all of that. You know, we make sure there's backup. We make sure there's the right internet connection, the right computer system, etc. So to your point that is definitely something for everyone listening to this to look at because the vetting process, that's what I found the most tiring. When I first hired my first VA, I got it wrong a lot, to be honest with you. And I didn't ask any of those questions. And then it's kind of funny to talk about the rooster. That happened to me. And that was before I actually owned the company. And then I started my company. That's one of the things I'm like, all right, we have to listen for, right? [00:18:52] Bob: What's your background, what's your surrounding, right to your point. And then you start learning over time. And then the more interviews you go on, the more stuff you learn, right? Like you said, you don't learn or you don't know all this stuff until you actually go through the process. And I think it's important for you to understand if you're going to do this, know that you're going to have a lot of pain up front when you hire at the beginning, right? And then you work with a company like mine and you'll realize you didn't go through that pain, but then you want to go hire someone. And then you decide to then throw your hat in the ring and do this yourself. [00:19:25] Bob: 100%. The questions to ask, just like Jason said up front, those are some of the things to look at.  [00:19:30] Jason: You know, based on the stuff that you said, I there's a lot of. Property management targeted, you know, VA companies leveraging talent in the Philippines, but it seems like one of the things you brought up that seems to be unique to what you guys do that's different than most of the others, or maybe all of them is the focus on client acquisition, lead gen, and on the sales side of things. [00:19:53] Jason: Most are usually focused on trying to find VAs that are more like executive assistants or that are going to do tasks and be told what to do rather than people that you can trust to be the initial connection and face of your business.  [00:20:08] Bob: You know what it's interesting, again, it's interesting you say that because I've been in this business for about 21 years, real estate investing. [00:20:14] Bob: And we realized over time that If you don't have, you talk about acquisition and lead generation, if you don't have leads for any of our businesses, we are going to struggle to make ends meet, right? So you have to figure out a way that's going to drive in leads to your business. I mean, I know for me, I'll just give you a perfect example. [00:20:32] Bob: When I door knocked, I went door to door to door every day from 10 a. m. to 3 p. m. But when I go home, I'd get that list and I would skip trace it back in the day You'd use 401. com white pages, and I would look for the best possible phone number for that individual then I would call. So when I got home, I would skip trace then I'll call until seven at night until I had to eat dinner with the family. But over time, I was beat up. [00:20:55] Bob: I don't recommend doing that anymore. You don't have to do that anymore because you can hand over those tasks over to a virtual assistant. And they're the ones that are going to be doing the outreach for you. And again, I do recommend you should try it because you'll realize you know, open your mind and understand that outsourcing that task will really give your energy back and bring your success up. [00:21:16] Bob: You may feel, well, I don't think anyone could do that task better than me. We all said, I know you said it before, Jason, I've said it. We all feel that way. And if you think about it, if they do 80 percent as good as you, that's a huge win. Now you get to do other tasks. That's going to drive business and revenue to your business. [00:21:36] Jason: Even if they do it half as well as you, but they're getting. You know, half the result and you're able to hire two or three of them and not do that work. Like it's easily time and money well spent. So it's consistency, right?  [00:21:48] Bob: It's all the consistency. If you have something, a task that gets on a consistent manner, consistent basis every single day, you will get results by the end of the week. [00:21:58] Jason: Yeah. So what are kind of SLA you know, you know, what do you sort of think are the metrics or KPIs for as an appointment setter or somebody trying to help, you know, maybe reaching out directly to owners or maybe reaching out to schedule, I don't know, appointments with real estate agents to build referral relationships. [00:22:17] Jason: How many calls should they make a day? If this is their full time gig and how many appointments do you think they should be booking?  [00:22:22] Bob: Well, it depends. So if you have, so for instance, if you have a, you know, triple line dialer, as an example, it depends if you're, you know, calling just on a, you know, on your phone and just dial like this, but there's a lot of very good technology out there. [00:22:36] Bob: You got mojo dialer, you have things like that actually are very good. You may have a company that you refer, Jason, that you could tell everyone but you're probably calling if you're full time, anywhere between 400 and 600 dials using that dialer, not manual dialing. You're probably going to hit about a hundred, 150 if you're manually dialing. [00:22:57] Bob: And that's a day. Yeah. But if you have a triple line dialer, you're going to hit on average 400 to 600 and this is just what I've seen through the years that I've been doing this. You may have a technology that burns through a thousand calls and then you're going to be listening to me saying, well, Bob, you're a hundred percent wrong. [00:23:13] Bob: I'm just telling you what I see on a daily basis and what comes out of, you know, mine and my client's offices.  [00:23:19] Jason: I think yeah, even if they're doing it manually, if they can get a hundred to two hundred calls a day and get two appointments booked a day, like, so they're getting roughly about 10 a week. [00:23:27] Jason: Like that's a solid result for an appointment setter.  [00:23:31] Bob: That's a win. That's a win. You're looking at, if you're looking for, so we call them ITS's in our office, interested to sell. I know other people call it different, but that's what we look for. Same exact thing. One to two per day per VA. [00:23:44] Jason: Nice. Yeah, very cool. And those listening, I'm sure all of you would love to have one or two appointments booked for you per day, and that would fill up a nice little chunk of your time and help you close some deals. So, yeah.  [00:23:57] Bob: Especially on the buy and hold side Jason. It's a lot easier to look at your numbers. [00:24:03] Bob: And I know you have a formula that you guys look at to make sure the rent and you know, what the interest rates are today, et cetera, et cetera, whatever financing you have, but it is easier on the buy and hold side to fit within your buy box, right? Rather than having to go at, you know, 30 or 40 or 50 or 60 percent of the value. [00:24:20] Bob: When you fund it out and then try to resell it. So it's a different kind of mindset. So you're very fortunate if you're going to buy and hold your buy box is usually different than somebody who's either trying to wholesale or fix and flip.  [00:24:32] Jason: Got it. So we've probably got some property management business owners listening to this. [00:24:37] Jason: And for some reason, maybe they're just crazy and they have not yet worked with DoorGrow yet, but they're like, Hey, I would like to grow, add some doors and maybe have somebody do some calls and reach out to Bob. How could they get in touch with you and how can they initiate a conversation?  [00:24:54] Bob: Well, you can check us out on our all of our social, of course, but REVA Global. R-E-V-A Global. com. If you have any specific questions, obviously for you, you could just reach me direct at bob@revaglobal.com.  [00:25:07] Jason: Awesome. Hey Bob, thanks for coming on the show. Any parting words for entrepreneurs that are struggling, they've never hired an assistant yet they, even if they've built out part of their team or an entire team already, which is ludicrous to me, but what would you say to them? [00:25:22] Bob: Well, I would say number one, get started, of course, but number two, I would say you got to set up your processes and systems and get them done consistently because if you just get success here. And then you stop doing it. Real estate's a long game. You know, like I said, I started this 21 years ago and I wish I knew what I knew now back then. [00:25:43] Bob: I would start buying properties back then because right now I'd be retired with thousands of doors and rental income of a thousand doors. But I started a little bit later.  [00:25:54] Jason: Hey, Bob, we appreciate you coming and hanging out with me on the DoorGrow show today. And I'm excited to see if you helped maybe some of our clients listening or some of the people let me know what results they get and maybe we'll have you come back on. [00:26:07] Bob: Thanks for having me. Appreciate it.  [00:26:08] Jason: All right. So if you are a property management entrepreneur, you're struggling to add doors, you're struggling to figure out how to grow your business. We want to help you. We want to support you. Reach out to us at DoorGrow. com. You can also join our free community at DoorGrow club. com. Go there. Answer the questions. We reject 60 to 70 percent of applicants. It's just for property management business owners And if you get inside, we'll give you some free stuff that'll help you out and help out your business. So that's it for today until next time to our mutual growth I'm, Jason Hull, and I hope you crush it. [00:26:40] Jason: Bye, everybody. [00:26:40] Jason: You just listened to the DoorGrowShow We are building a community of the savviest property management entrepreneurs on the planet in the DoorGrowClub Join your fellow DoorGrow Hackers at doorgrowclub.com Listen everyone is doing the same stuff SEO PPC pay-per-lead content social direct mail and they still struggle to grow at DoorGrow We solve your biggest challenge getting deals and growing your business Find out more at doorgrow.com Find any show notes or links from today's episode on our blog doorgrow.com and to get notified of future events and news subscribe to our newsletter at doorgrow.com/subscribe until next time take what you learn and start DoorGrow hacking your business and your life.

¡Buenos días! 🚫 Ola de clausuras en todo el Perú. No solo Real Plaza, también otros malls y hasta un Plaza Vea. ADEMÁS: La nula reacción de los políticos y el encubrimiento de los medios. MIENTRAS TANTO: 🏍🚗 AMPAY al esposo de Magaly. Fiscalía lo investiga por una organización de "clonación" de placas de motos y autos. ADEMÁS: Acuña es el nuevo jefe de prefectos y subprefectos. Y... 🧐 ¿Qué es el lucro cesante, el daño emergente y el daño moral? Conceptos básicos en casos como el Real Plaza. Los explica Lourdes Calderón, de Infotax.

In this episode, Dr. Jennifer Noonan talks about " Vocabulary Acquisition for Reading Fluency" in this SLA section of the podcast. This is stuff you don't want to miss! ***GlossaHouse resources are available at our website! - https://glossahouse.com/✏️ ***Sign up for classes with GlossaHouse U - https://glossahouse.com/pages/classes

In this episode of The Library is Open podcast, we have not one, but TWO fabulous guests: Paul Cuomo and Yonah Levenson!! Paul is a Product Specialist at TDNet and host of The Info-Leaders Podcast. Yonah is aMetadata, Taxonomy, and Asset Management Strategy Consultant; Language Metadata Table Chair and Rutgers DAM Certificate Program Co-Director/Instructor. They will both be co-presenting at this year's Special Library Association conference on "Expanding Horizons and Career Transformations".In this episode, we learn more about Paul and Yonah's careers, discuss alternative career paths and self-marketing tips for information professionals, and get hype for this year's SLA 2025 Conference! You won't want to miss this episode!!! Connect with Yonah on LinkedIn: https://www.linkedin.com/in/yonahlevenson/Connect with Paul on LinkedIn: https://www.linkedin.com/in/paulcuomo/

Regardez notre émission avec Florent, fondateur de EWIGO ➡️ https://youtu.be/03u3Hm1VRfIPour accéder au site d'EWIGO : https://link.influxcrew.com/EWIGO-LEGENDMerci à Christophe d'être passé nous voir chez LEGEND ! Christophe, 37 ans, a été diagnostiqué de la maladie de Charcot le 25 avril 2024, une maladie incurable qui paralyse progressivement les muscles et empêche de respirer sans assistance. Marié et père de deux enfants, il a dû arrêter son métier de surveillant pénitentiaire au fur et à mesure que la maladie progressait. La maladie de Charcot, ou SLA, est décrite par l'organisation mondiale de la santé, comme la maladie la plus cruelle du Monde, laissant au malade une espérance de vie allant de 24 à 36 mois.Suivez le quotidien de Christophe et sa famille sur Instagram ➡️ https://www.instagram.com/famille_rovere_et_la_sla?igsh=N3FoM3hvZ3BoZWR2&utm_source=qrPour les contacter ➡️ Famillerovereetlasla@gmail.comL'association ARSLA (Association pour la recherche sur la SLA) ⬇️Instagram : https://www.instagram.com/arsla_?igsh=MTlucjlmc2tnYzFkOQ==Site : https://www.arsla.org/Merci à notre ami Matthias Baccino de chez Trade Republic pour le cadeau offert à Christophe et sa famille lors de l'émission ! Retrouvez l'interview complète sur YouTube ➡️ https://youtu.be/wtDaxwcYBccPour toutes demandes de partenariats : legend@influxcrew.comRetrouvez-nous sur tous les réseaux LEGEND !Facebook : https://www.facebook.com/legendmediafrInstagram : https://www.instagram.com/legendmedia/TikTok : https://www.tiktok.com/@legendTwitter : https://twitter.com/legendmediafrSnapchat : https://t.snapchat.com/CgEvsbWV Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Hey there folks - this week, we're chatting with one of PJ and my close friends, Neil! This last year, Neil picked up Stormlight Archive, and has come up to the precipice of the end... and so we wanted to discuss his journey, and his predictions before he hits the end of SLA! Next week, we continue our brief pause on The Heroes, with our next episode featuring the Monk and Robot by Becky Chambers duology, as well as an interview with Joel Daniel Philips about his art for the Devils, coming to you soon. See you then! Beyond that, please be sure to follow us or subscribe on your podcatcher of choice, and leave a review on iTunes, Stitcher, or wherever. It goes a long way to helping the podcast grow. You can also check out our Patreon at Patreon.com/Wordsandwhiskey Check it out! Another way you could help us out? Refer us to your friends. We love a good referral, don't we folks? Send us ANY questions to our twitter account, Instagram, or to our email. See you next week! Link: https://wordsandwhiskey.show/episode/242-short-pour-neils-trip-through-rhythm-of-war

Send us a textFebruary can be tough. We're not just physically exhausted—we're emotionally drained. The weight of our classrooms, our students, and everything happening in our communities can make us lose sight of what truly matters in language teaching.That's why I'm bringing back this incredible conversation with Dr. Bill VanPatten. When we're running on empty, it's easy to forget the foundation of language acquisition: input. In this episode, Dr. VanPatten reminds us why the essential role of input in language acquisition isn't just a theory—it's a fact. Dr. VanPatten dives into the true nature of language, the limitations of traditional instruction, and how we can refocus on what our students need to acquire language.