Podcasts about Asana

In this episode, Jason explains what he means by using email only for external communication. His goal is to reduce slow, batched communication and move teams toward faster, clearer channels whenever possible. Jason explains why internal teams should rely more on tools like Microsoft Teams, ClickUp, Asana, Monday.com, radios, and direct meetings instead of defaulting to email. He also clarifies that "external only" does not mean emailing everyone outside your immediate office, it means using email selectively when faster communication channels are not practical and documentation is genuinely needed. What you'll learn in this episode: Why email can create delays, batching, miscommunication, and unnecessary administrative work. What "external email only" actually means inside a Lean communication system. How internal teams can use faster communication channels instead of relying on inboxes. Why even external contacts should be moved to quicker communication methods when appropriate. Are you using email because it is truly the best communication method, or simply because it has become the default?   If you like the Elevate Construction podcast, please subscribe for free and you'll never miss an episode.  And if you really like the Elevate Construction podcast, I'd appreciate you telling a friend (Maybe even two

Is your accounting firm stuck between AI enthusiasts who move too fast and skeptical team members who refuse to adopt new technology? Bridging the gap between enthusiastic leadership and hesitant team members is one of the biggest challenges facing modern firms today. In this episode of Growing Your Firm, host David Cristello sits down with Jan Haugo, founder and AI researcher at smartaccountant.ai and co-author of Intuit's official AI certification curriculum. Jan researches and validates 50+ emerging AI tools annually for controllership, Record-to-Report (R2R), AP/AR, and advisory workflows. Jan breaks down how to bring your entire firm onboard with AI safely, navigate critical security and redaction requirements, and use AI to transform sales, onboarding, and advisory workflows. In this episode, we explore: Bridging the Team Divide: How to align AI enthusiasts and detractors to move the entire firm forward together. The Enterprise Security Advantage: Why staying within Microsoft Copilot or Google Gemini ecosystems solves the PII (Personally Identifiable Information) and redaction hurdles. The Danger of Adobe Redaction: Why blacking out text in PDFs isn't enough to hide underlying metadata from AI models. Mapping Workflows Backward: Why defining the desired outcome before selecting software leads to better automation. Building a Custom AI "Sales Agent": How to train AI on your unique brand voice to research prospects, analyze websites, and guide discovery calls in real time. The Bleeding Edge: How unified AI awareness layers (like Town.io) aggregate transcripts, email, and task managers into an automated personal assistant. Key AI Tools & Solutions Mentioned: Smart Accountant AI: smartaccountant.ai Enterprise AI: Microsoft Copilot, Google Gemini, and NotebookLM Workflow & Data Aggregation: Town.io, Notion, Asana, and SharePoint Custom AI Prompting: Claude and ChatGPT About Jan Haugo Jan Haugo is a leading AI researcher, trainer, and founder of smartaccountant.ai. She specializes in testing, validating, and deploying practical AI tools for controllership, financial close, and firm operations.   Featured Guest: Jan Haugo  

While the podcast team is taking a Radical Sabbatical, Kim is interviewing authors of the books that have had a big impact on her in the past two years.  In this episode, Kim speaks with Rebecca Hinds, the author of Your Best Meeting Ever: 7 Principles for Designing Meetings That Get Things Done.  They explore the evolution of meetings from wartime sabotage tools to the challenges and strategies for improving meetings in today's technology-driven workplace. They discuss the increasing time spent in meetings, especially post-pandemic, and present seven solutions to eliminate unnecessary meetings and to redesign the necessary ones. They discuss the impact of distractions, the importance of effective meeting structures, and the need for a culture that encourages open disagreement. The conversation also highlights the significance of asynchronous communication, preparation, and technology's role in enhancing collaboration. Ultimately, they emphasize the need for meetings to be engaging and aligned with natural rhythms to foster productivity and creativity. Guest Background: Rebecca Hinds, PhD, is the author of Your Best Meeting Ever: 7 Principles for Designing Meetings That Get Things Done.  She is a leading expert on organizational behavior and the future of work. For more than 15 years, she has helped organizations rethink how work gets done, challenging outdated management playbooks and offering leaders a more ambitious and more human vision for the future. Rebecca has founded and led two first-of-their-kind research institutes dedicated to reinventing work. In 2022, she launched the Work Innovation Lab at Asana, building it into an influential source of practical workplace research. In 2025, she founded the Work AI Institute at Glean to help organizations navigate the next transformation of work. CHAPTERS (00:00) The Origins of Meetings as Sabotage Tools (02:45) The Evolution of Meeting Culture (05:14) Radical Meeting Solutions (08:20) Measuring Meeting Effectiveness (11:05) The Minimalism Approach to Meetings (14:06) Optimizing Meeting Flow and Communication (16:56) The Role of Tools in Meeting Efficiency (23:40) Managing Distractions in a Tech-Heavy World (25:58) The Importance of Effective Meetings (28:58) Creating a Culture of Open Disagreement (29:49) Building Strong Asynchronous Communication (32:01) The Role of Preparation in Meetings (36:51) Designing Engaging Meetings (38:47) Timing and Rhythm in Meetings (41:31) Leveraging Technology for Better Meetings Connect with the Radical Candor team: ⁠⁠⁠⁠⁠⁠Website⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠ Keywords meetings, productivity, communication, meeting culture, meeting effectiveness, meeting solutions, meeting minimalism, meeting flow, tools for meetings, workplace efficiency distractions, technology, meetings, asynchronous communication, open disagreement, engagement, timing, productivity, collaboration, AI Learn more about your ad choices. Visit megaphone.fm/adchoices

Zbudowałem prostego asystenta AI, który codziennie o wyznaczonej godzinie przygotowuje mnie na cały dzień, i w tym odcinku pokazuję krok po kroku, jak zrobić to samo. Bez kodowania, bez skomplikowanych konfiguracji, w czacie, którego już używasz.Każdego dnia schodziło mi prawie godzina na to samo: sprawdzenie kalendarza, przejrzenie maili, przypomnienie sobie, co komuś przekazałem i czy przypadkiem nie trzeba tego dopilnować. W skali miesiąca to dziesiątki godzin wyłącznie na zarządzanie własną pracą. Zdelegowałem ten przegląd na asystenta AI, który robi go za mnie, nawet gdy nie ma mnie przy komputerze.Co pokazuję na żywo:- Jak podłączyć łączniki (Gmail, Kalendarz Google, Slack, Asana), żeby AI miało dostęp do Twoich narzędzi- Jak w kilka minut ustawić zaplanowane zadanie, które uruchamia się samo o wybranej godzinie- Jaką instrukcję wkleić, żeby dostać poranny brief: spotkania, maile do odpowiedzi i trzy priorytety na dziś- Dlaczego najpierw warto odpalić to ręcznie (zgody) i jak potem dopracowywać instrukcję pod siebieTo pierwszy krok od pracy wyłącznie reaktywnej, gdzie Ty wydajesz polecenie, a AI je wykonuje, do pracy, która dzieje się w tle za Ciebie. U mnie taki asystent AI to spokojnie kilka godzin odzyskane tygodniowo.Napisz w komentarzu, jaką rutynę chciałbyś oddać AI w następnej kolejności, a zrobię z tego kolejne odcinki. Z góry dziękuję za każdy komentarz, lajka i udostępnienie, bo jesteśmy na wojnie z algorytmami.Prompty i instrukcje z odcinka wrzucam do repozytorium dla zapisanych na newsletter.Kurs AI Marketers, 5 tygodni praktycznej pracy z AI w marketingu w oparciu o strategię i proces, nie o zachwyt nad narzędziami: https://aimarketers.pl/______________________________________________

Deborah Corn and Productivity Coach Sarah Ohanesian discuss what it means to achieve inbox zero, why relying on email as a to-do list, CRM, and filing system can make work harder than it needs to be, and practical strategies for reducing overwhelm through better organization, smarter triage, time blocking, and intentional use of AI. Mentioned in This Episode: Sarah Ohanesian on LinkedIn: https://www.linkedin.com/in/sarahohanesian/ SO Productive: https://www.so-productive.com/ Asana: https://asana.grsm.io/sarahohanesian308 Command the Chaos Course: https://www.so-productive.com/productivity-course/  Claude Cowork: https://claude.com/product/cowork Deborah Corn on LinkedIn: https://www.linkedin.com/in/deborahcorn/ Print Media Centr: https://printmediacentr.com Subscribe to News From The Printerverse: https://printmediacentr.com/subscribe-2  PrintFM Radio: https://printfmradio.com/ Girls Who Print: https://girlswhoprint.org Project Peacock: https://ProjectPeacock.TV

Why are 75% of knowledge workers using AI, yet only 5% of companies seeing meaningful productivity gains? This week on Dev Interrupted, Asana Chief Product Officer Arnab Bose explains why scaling enterprise AI means shifting from isolated chatbots to fully integrated agentic work management. He breaks down how Asana is turning AI from a tool into a transparent digital teammate with shared memory, full audit trails, and role-based access controls. The conversation closes on Asana's acquisition of Stack AI, the upcoming Command product for R&D teams, and which metrics prove AI ROI.Get the guide: The AI engineering productivity gap - how elite teams pull ahead in 2026Follow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest:Asana: Explore the work management platform and learn more about Agentic Work Management at asana.comStack AI: Read about Asana's acquisition of the no-code AI workflow automation platform on the Asana BlogConnect with Arnab: LinkedInOFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Most real estate operators say they're using AI. Very few have built their entire company around it. In this episode, Neal Bawa, CEO of Grocapitus, breaks down the four-phase process his 20-person team used over the past 18 months to become what he calls an AI-first real estate company. From getting every employee certified on custom GPTs in phase one, to building proprietary web-hosted dashboards that pull live data from seven different property management systems in phase four, Neal is specific about what they built, what tools they used, how much it cost, and what it actually changed about how they operate. If you want to know what implementing AI at the company level looks like in practice, this is the episode. About Neal Bawa Neal Bawa is the CEO of Grocapitus and MultifamilyU, where he manages a $436 million AI-powered portfolio across 25 projects in 11 states. Known as the Mad Scientist of Multifamily, Neal has built one of the most data-driven operations in the real estate industry and has made more than 300 podcast appearances sharing that framework with investors. His free investor education platform at MultifamilyU has tens of thousands of subscribers and runs eight webinars per year at no cost. What We Cover in This Episode What it actually means to declare your company AI-first and what changed internally at Grocapitus when they did How Neal tied AI adoption to compensation, bonuses, and continued employment — the carrot and stick system that drove company-wide adoption Phase one: getting every employee certified on ChatGPT and building 300 custom GPTs in four months Phase two: connecting Zoom, Slack, Asana, and Google Drive through native integrations and Zapier to automate meeting workflows Phase three: why they moved to Claude for rent comps, underwriting, and web scraping — and why ChatGPT couldn't do the job How Claude Code differs from Claude Chat and Claude Cowork, and why that distinction matters for automation Phase four: turning every employee into a programmer using GitHub Codespaces — no coding knowledge required How they built a proprietary MySQL dashboard that pulls live data from seven different property management systems simultaneously Why 99% of property managers are not compliant with the industry standard of three phone calls and three text messages to every lead — and how Neal can now see this in real time across his entire portfolio How AI affected headcount — no layoffs, but three to four open requisitions closed and employees working an average of one to one and a half hours less per day Phase five on the horizon: AI handling 100% of incoming calls at their properties Neal's plan to offer this dashboard-building capability to the top 50 property management companies in the US Why Haiku outperforms Sonnet for teams that keep running out of Claude tokens Neal's interest rate prediction through the end of 2026 Key Insight Neal makes a claim that should stop most operators cold: 99% of leads at managed properties do not receive three phone calls and three text messages, the industry standard for lead follow-up. Most don't even get a second call. For years, this was invisible — property managers self-reported compliance, and nobody could verify it. Neal's phase four dashboard changes that. For the first time, he can walk into a Monday morning meeting and show every property manager exactly where they rank against each other, how long they take to respond to a lead, and how many of their leads are being processed correctly. He doesn't have to say a word. The data does it. Why This Episode Matters Neal isn't describing what AI might do for real estate someday. He's describing what his 20-person team built in the last 18 months, with zero consultants hired, on $25 per month Claude accounts. The playbook he lays out — phased adoption, compensation tied to AI competency, tools connected in sequence — is something any operator can start applying at their own scale. If you're still thinking of AI as a tool you use occasionally rather than a system your company runs on, this episode draws a clear line between those two approaches. Find Out More Website: https://www.grocapitus.com Free Investor Club (always free, 8 webinars per year): https://multifamilyu.com/club Location Magic eBook: https://multifamilyu.com/lp/location-magic-ebook/ Physical Book: https://multifamilyu.com/book Sponsors Today's episode is brought to you by Green Property Management, managing everything from single family homes to apartment complexes in the West Michigan area. https://www.livegreenlocal.com And RCB & Associates, helping Michigan-based real estate investors and small business owners navigate the complex world of health insurance and Medicare benefits. https://www.rcbassociatesllc.com

AI is everywhere, but are property management companies asking the right questions before implementing it? In this episode of the #DoorGrowShow, Jason Hull sits down with Mo Hussain to discuss why successful AI adoption has far less to do with technology and far more to do with operational clarity. Instead of chasing the latest AI tools, Mo introduces his Measure, Map, Automate framework to identify operational bottlenecks, uncover hidden profit leaks, and build workflows that actually improve business performance.  Together, they explore why clean data is the foundation of automation, how undocumented processes create costly inefficiencies, and why AI should enhance human decision-making rather than replace it.   You'll Learn [00:00] Meet Mo Hussain and the Measure, Map, Automate Framework [03:20] Why Most Companies Ask the Wrong AI Questions [08:10] The Role of Clean Data in AI Success [12:45] Mapping Workflows Before Automating Them [15:30] The Process Myth and Better Operational Systems [21:10] Building Accountability Into AI Workflows [25:15] Designing AI Agents That Actually Perform [27:45] Turning Operational Data Into Business Growth [29:15] Final Advice for Property Management Leaders Quotables "AI value really truly is workflow value." Mo Hussain  "AI depends on trusted operational data." Mo Hussain  "The winners are not gonna be the companies that have the most amount of data, but they're the ones that can convert data into consistent operating actions." Mo Hussain  Resources DoorGrow and Scale Mastermind DoorGrow Academy DoorGrow on YouTube DoorGrowClub DoorGrowLive Transcript Jason Hull (00:00) welcome everybody. I'm Jason Hull, the founder and CEO of DoorGrow, the world's leading and most comprehensive coaching and consulting firm for long-term residential property management entrepreneurs. For over a decade and a half, we have brought innovative strategies and optimization to the property management industry.   At DoorGro, 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. Now let's get into the show. And my guest today is Mo Hussain, and we're going to be talking about how property management companies can stop drowning in data and start turning it into real operational growth. In this episode,   Mo is breaking down the measure, map, and automate framework that he has built and approach an approach to uncovering hidden margins, reducing manual oversight, and getting more value out of every door in your portfolio.   right.   is Mo Hussain. Mo, welcome to the show.   Mo Hussein (01:01) Hey Jason, happy to be here.   Jason Hull (01:03) So today we're going to be chatting a little bit about how property management companies can stop drowning in data and start turning it into real operational growth. And Mo's going to break down the measure, map, and automate framework, his approach for uncovering hidden margins, reducing manual oversight, and getting more value out of every door in your portfolio. So cool, measuring is important. We'll get into that. So before we get into that, Mo,   Can you give people a little bit of background on yourself? How did you get into entrepreneurism? How did you get connected to property management? And help everybody understand who Mo is. Yeah.   Mo Hussein (01:42) Yeah.   great question. So I I've been in this industry now for probably coming up on 20 years at this point. I I worked at some of the prop tech and software providers that are prevalent in the space. Namely, I worked at both YARTI App Folio, which are both kind of headquartered in in Santa Barbara. and a little bit over ten years ago, I started a consultancy and accounting CPA practice that specifically focuses on   Jason Hull (01:56) Namely, I worked at both YARDIE and at Folio, which are both kind of headquartered in in Santa Barbara. a little bit over ten years ago, I started a consultancy and accounting TPA practice that specifically focuses   on prop tech and real estate. So we offer consultations with implementations, custom reporting, operationalizing around technology, which is which is now the buzz around kind of AI and automation at this point.   Mo Hussein (02:11) Prop tech and real estate. So we offer consultations with implementations, custom reporting, operationalizing around technology, which is which is now the buzz around kind of AI and automation at this point. and then   we've also built products for the space to help with automations, help with you know accounting compliance and bringing visibility and custom reporting capabilities to operators. So kind of leveraging all the experience.   Jason Hull (02:25) And then we've also built products for the space to help with automations, help with you know, accounting compliance and bringing visibility and custom reporting capabilities to operators. So kind of leveraging all the experience   Mo Hussein (02:40) from working as a consultant and also as an accountant and even working as some of these tech providers now being a actual supplier in the industry.   Jason Hull (02:41) from working as a consultant and also as an accountant and even working as some of these tech providers now being a aqua supplier in the industry. Very cool. Very cool. So you're a little bit nerdy.   Mo Hussein (02:52) A little bit. Data. I love data. Right.   Jason Hull (02:53) Okay, so am I. So am I. All right. So   cool. So let's talk nerdy to me, Mo. All right. So let's let's chat about this. So let's get into it. So t tell us about this. Wha why is this wh how'd you come up with this framework? Why is this important? I love frameworks because frameworks are usually where we take something that we notice a pattern in, there's some complexity involved, and we make it simple. So explain to us.   Mo Hussein (02:59) Yeah.   Jason Hull (03:18) Where does the measure map and automate framework kind of come from?   Mo Hussein (03:22) Right, right. And this is this kind of stems from a conversation you probably have with plenty of your your clients and even prospects when you start engaging, you know, the the the very popular question now of how do we use AI? I want to streamline and automate. And it's a very loaded, it's a very loaded, fairly ambiguous question, right? How do we use AI? We want to implement AI into our operations, right?   Jason Hull (03:23) And this is this kind of stems from a conversation you probably have with plenty of your   You know, the the the the very popular question now, how do we use AI? It's a very loaded, fairly ambiguous question, right? How do we use AI? We want to implement AI more.   Mo Hussein (03:48) when conversely, like you know, operators and property managers should be starting with a different qu set of questions, right? Like how like where are we losing things like NOI, margin, time, control, or even consistency, right? AI really only matters when it connects and automation really only matters when it connects to a to a revenue lever or some type of a cost lever or productivity gain or or risk reduction, right?   Jason Hull (03:50) Conversely, like you know, operators, property managers should be starting with a different set of questions, right? Like how like where are we losing things like NOI, margin, time, control, or even consistency, right? AI really only matters when it connects in automation really only matters when it connects to a to a revenue lever or some type of a cost lever, productivity gain or or risk reduction,   right? Yeah. there's there's a couple   Mo Hussein (04:14) and there's there's a couple of key components   Jason Hull (04:16) key components in even conversations that you've probably even had with with property managers today is that firstly like you know operators today they already have a lot of data. They probably have access to a lot of different data sets across, you know, operations, but it's probably, you know, disconnected and disjointed and different reports and disconnected systems, hidden in spreadsheets and and dashboards that probably don't drive much much action, right? and everybody wants   Mo Hussein (04:17) in even conversations that you've probably even had with with property managers today is that firstly, like, you know, operators today, they already have a lot of data. They probably have access to a lot of different data sets across, you know, operations, but it's probably, you know, disconnected and disjointed and different reports and disconnected systems hidden in spreadsheets and and dashboards that probably don't drive much much action, right? and everybody wants to   Jason Hull (04:43) to automate and execute   Mo Hussein (04:43) automate and execute an   operational kind of workflow. But the hard part is not whether, you know, AI can really do something, but the hard part is whether a company even knows where value is leaking and who owns that action and and whether these workflows are even clear enough to to be able to automate. And that's kind of the premise of this framework is to kind of measure what that pain is, you know, map that workflow, automate that repetitive work and manage   Jason Hull (04:45) an operational kind of workflow. The hard part is not whether you know AI can really do something, but the hard part is whether a a company even knows where value is leaking and who owns that action and and whether these workflows are even clear enough to to be able to automate. And that's kind of the premise of this framework is to kind of measure what that pain is, you know, map that workflow, automate that repetitive work, and   manage ideally performance through some type of closed loop accountability. We just put an actual word to it, right? A framework to it, I'm sure   Mo Hussein (05:07) ideally performance through some type of a closed loop accountability. We just put an actual word to it and a framework to it, but I'm sure very   similarly to the conversations that you're probably having also even with customers.   Jason Hull (05:15) Very similarly to the conversations that you're probably having also with customers.   Yeah, yeah, got it. Yeah. it's interesting because we're now seeing a lot of these tech companies or tech forward companies that are kind of backtracking on AI a little bit. They were giving out basically blank checks to use AI as much as they could. Some were even creating sort of a contest internally, incentivizing like who could use the most tokens.   Mo Hussein (05:29) Mm.   Right.   You're right.   Jason Hull (05:41) Which is a little bit insane   to just give people a blank check as if that always the more tokens you burn, the more productivity is being created, right?   Mo Hussein (05:51) Right, right, right. And we're seeing, yeah, and you know, as we're seeing these newer models that are coming out, whether it's, you know, through Cloud, Anthropic or even these other these other LLMs, the token utilization is becoming more and more expensive, especially with these newer models. And so now the question of just like, hey, how is that utilization actually translating to actual business value? Right. And this was a question that eventually would have been would have been pushed, right?   Jason Hull (05:54) Yeah and you know.   Of just like, hey, how's that utilization actually translating to actual business value? Right.   Yeah. Yeah. Yeah. I love it. Like how to use AI. Yeah. Bad question. A better question is how do we actually make sure we're creating more profit? How do we actually make sure we are lowering costs? Like   And that's the the idea, they think, well, AI must be so much cheaper than people. And what's interesting, I've also seen some reports lately showing the amount of money these different LLMs are losing right now. They're spending a massive amount of money to deliver AI to us at a super cheap price right now. And but they're losing money. Every time we're chatting, they're losing money.   Mo Hussein (06:47) Mm-hmm.   Right.   Right.   Jason Hull (07:01) And that's that's a wild business model. They're obviously hoping to win some sort of AI race. They're hoping to get us maybe in the future. And there's a lot of talk lately as well of people thinking we gotta shift to local models. Like we gotta I gotta run this AI stuff on my own computer and not be giving all my money to anthropic or open AI you know, open AI or whatever. So okay.   Mo Hussein (07:15) Mm-hmm.   Right, right.   Right.   Jason Hull (07:26) Cool. So let's continue on. Me measure, map and automate. Yeah. Yeah.   Mo Hussein (07:29) Yeah. Yeah. And   by the way, going on your point, Jason, it's you know, you you also, you know, creating automation and leveraging these models locally, it there's definitely value in that. But you know, now more than ever, f you know, teams are kind of distributed, right? And so ideally, if you've built automations and leveraging these L LMs and   Jason Hull (07:35) Yeah, y you also you know   Locally it is definitely that   Teams are kind of distributed, right? Yeah. Ideally, if you've built automations and leveraging these LLMs   and   Mo Hussein (07:52) And things of that sort.   You probably want to have like some type of an interface that's like cloud based, right? Or for folks to be able to kind of collaborate in some type of a ideally like a safe environment, right? and so measure, map and and automate. So you know, there's there's kind of those three components to be able to actually fully ideally leverage leverage AI. But   Jason Hull (07:55) some type of a an interface that's like cloud based, right? Or for folks to be able to kind of collaborate in some type of a ideally like a safe environment, right? yeah. So measure, map and and automate. So you know there's there's kind of those three components to be able to actually fully ideally leverage leverage AI but   there's there's a couple like kind of key core components that feel like   Mo Hussein (08:20) There's there's a couple of like kind of key core components that I feel like   is very important for folks to to really understand before they can they they can even take advantage of of AI, right? so one is you know AI, AI value really truly is workflow value. And so like the most the biggest opportunities when it comes to automation leveraging AI is things that are repetitive.   Jason Hull (08:25) is very important for folks to to really understand before they can they they can take advantage of of AI, right? so one is, you know, a AI AI value really truly is a workflow value. And so like the most   automation leveraging AI as things that are   repetitive, you know, judgment heavy, ideally high volume workflows. Think about things like you know, leasing follow-up, delinquency, turns, maintenance, triage, variance explanations. another another key thing to understand is you know AI depends on trusted ideal operational data. And so if you don't have accurate or clean property unit, resident, vendor,   Mo Hussein (08:44) you know, judgment heavy, ideally high volume workflows. Think about things like you know, leasing follow-up, d delinquency, terms, maintenance triage, variance explanations. another another key thing to understand is, you know, AI depends on trusted ideally operational data. And so if you don't have accurate or clean property unit, resident vendor   payment data and it's and it's inconsistent, you know, AI just   Jason Hull (09:10) payment data and it's and it's inconsistent, you know,   AI just helps accelerate the wrong answer, right? This notion of like hallucinations also kind of exist. and you know insights without ownership is is just is really just theater. And so although AI may identify a problem and recommend an action, things need to be routed, right? And asci you know action needs to be assigned, there needs to be some accountability that gets created there and then a measurement of of of   Mo Hussein (09:13) helps accelerate r the wrong answer, right? And the this notion of like hallucinations also kind of exist. and you know insights without ownership is is just is really just theater. And so although AI may identify a problem and recommend an action, things need to be routed, right? And as I you know action needs to be assigned. There needs to be some accountability that gets created there and then a measurement of of of a   of of a of a result.   Jason Hull (09:40) of of a of a   result. and then lastly like humans humans control still matters, right? Things that have a very high potential opportunity cost. you know, operators should be very careful on how they utilize AI. So, you know, things around fair housing, sensitive sensitive decisions like screenings, evictions, legal communication, you know, employee decisions and maybe even large payment loopholes and so   Mo Hussein (09:42) and then lastly like humans, humans control still matters, right? Things that have a very high potential opportunity cost. you know, operators should be very careful on how they utilize AI. So, you know, things around fair housing, sensitive sensitive decisions like screenings, evictions, legal communication, you know, employee decisions and maybe even large payment approvals. And so   Once we   have these kind of these table stake table stake items, if you will, kind of address, then you know we can move on to kind of you know the our framework of kind of measure, map, and automate. And so in each of these different components have different purposes, you know. The whole point of the measure step is is to quantify where pain exists and to validate kind of being buying versus buy like building. And so you want to ask things like where   Jason Hull (10:09) Once we have these kind of these table stakes stakeheads, if you will, kind of addressed, then you know, we can move on to kind of, you know, the our framework of kind of measure, map, and automate. And so and each of these different components have different purposes, you know. The whole point of the measure step is is to quantify where pain exists and to validate kind of being buying versus buy like building. And so you want to ask things   like where   Mo Hussein (10:36) where   time, where margin, where service quality or accountability is lost today, right? Examples can be things like, you know, days vacant, you know, delinquency rate, maintenance response times. These would be kind of like outputs like invoice coding time, reporting hours, renewal conversions, right?   Jason Hull (10:37) Where time, where margin, where service quality or accountability is lost today, right? Examples can be things like, you know, days vacant, you know, delinquency rate, maintenance response times. These would be kind of like outputs like invoice coding time, reporting hours, renewal conversions, right?   Yeah. Got it. Yeah, that that makes a lot of sense. So you've got to be you have to have good data.   Which the crux of th where their data is all probably housed is inside of their property management software.   Mo Hussein (11:06) Right.   Jason Hull (11:07) And so hopefully that software is kinda tracking some of this stuff. But, you know, everybody's had a CRM that the team didn't put enough notes in. And then it becomes kind of useless, right? So you're like, what happened with Fred on that call earlier, you know, or previously? I I think I think we talked about this. Can't remember. Why aren't you putting in notes? And so then the flaw becomes the human in the loop in a lot of instances. But then you're saying, you know, also humans matter. Like   Mo Hussein (11:14) Right.   Right.   Jason Hull (11:34) Related to fair housing. We've got to have the human in the loop making decisions. I don't think it would go fair very well to be standing in front of a judge and say, Well, the AI messed this up. It wasn't me.   Mo Hussein (11:43) Right. Right.   Right. Yeah, that's very that's very correct. the the the other thing is is that you know software is a tool, right? So they you know, for like that example that you just gave of like, hey, you know, I had a conversation with Freddie or an owner or what have you, and you know, the notes weren't captured. And so if there's if if if if there's there needs to be also a cultural   Jason Hull (11:46) Yeah, that's very that's very   Yeah, they you know, put like that example that you just gave of like, Hey, you know, I had a conversation   And you know, the notes weren't captured. And so if there's if if if if there's there needs to be also   Mo Hussein (12:06) shift within the organization to become more performance kind of driven, right? And using, you know, places of truth. You know, I, you know, we use Salesforce in our own internal kind of CRM and you know, there's this old ad like this old saying of just, you know, hey, if it didn't happen to Salesforce, it didn't happen at all. In other words, if your system of record hasn't been updated and things haven't been added to it   Jason Hull (12:06) cultural shift within the organization to become more performance kind of driven, right? And using, you know, places of truth. You know, I you know, we use Salesforce in our own internal kind of CRM and you know, there's this this old like this old thing of just, you know, hey, if it didn't happen in Salesforce, it didn't happen at all. Right.   Mo Hussein (12:29) to to ensure that it is correct and accurate and up to date, then   Jason Hull (12:29) to it to to ensure that it is correct and accurate and up   to date, then the organization sees it as, you know, as it didn't happen. And somebody, you know, using anecdotal feedback like, well I did this, but I just didn't update this. And so that's it's very important that, you know, whatever system you're using to kind of measure different KPIs and metrics, that that, you know, that behaviors within the organization are shifting towards that. And it's it's something it's a cultural shift that needs to also   Mo Hussein (12:32) the organization sees it as you know as it didn't happen. And somebody, you know, using anecdotal feedback of like, well I did this, but I just didn't update this, it means it didn't happen. And so that's it's very important that, you know, whatever system you're using to kind of measure different KPIs and metrics, that that, you know, that behaviors within the organization are shifting towards that. And it's it's some it's a cultural shift that needs to also cascade   also from from leadership down as well.   Jason Hull (12:57) Cascade also from leadership down.   Yeah, the advantage we have nowadays with all the AI stuff that's come out is now pretty much everything gets transcribed everywhere. So calls get transcribed, notes can be created automatically. You can also go back and ha check the transcription on a call or a zoom call or recording, figure out what happened. So that you know, not leaving notes in the CRM is a little bit less of a problem than it was in the past.   So we've so we've chatted a bit about measure. What is what's important about mapping or map? Yeah. So this is this goes back to my previous point about like you know AI value being it it is workflow value. Yeah so you know you've measured you've identified you know your measurements and KPIs. So whatever those KPIs may be. Next what you need to do is map what the actual   Mo Hussein (13:30) The mapping. Yeah. So this is this goes back to my previous point about like, you know, AI value being it is workflow value. And so, you know, you've measured, you've identified, you know, your measurements and KPIs, you know, days vacant, delinquency, whatever those KPIs may be. Next, what you need to do is map what the actual what   the actual workflows that are happening, not how leadership or staff thinks it's happening.   Jason Hull (13:53) what the actual workflows are happening, not how leadership or staff thinks it's   happening. There's a very key kind of a distinction is that, you know, a lot of operators and teams kind of assume, hey, you know, we have a set process, but it may not be happening the way that they are envisioning or the way that they're assuming that this is happening. Yeah. And and map that entire workflow end to end.   Mo Hussein (13:59) The very key kind of distinction is that, you know, a lot of operators and teams kind of assume, hey, you know, we have a set process, but it may not be happening the way that they are envisioning or the way that they're assuming that this is happening. And and map that entire workflow end to end.   identify what systems are involved, where handoffs occur, where approvals are required.   Jason Hull (14:21) identify what systems are involved, where handoffs occur, where approvals are required,   Mo Hussein (14:27) where judgment calls are are are are kind of made. And so, you know, every company has, you know, things like experienced managers and accountants and maintenance folks and and they usually know what good looks like versus what bad looks like. And so AI here is to help kind of convert that tribal knowledge ideally into a repeatable operating model. And so examples of how that mapping   Jason Hull (14:28) where judgment calls are kind of made. And so every company has you know things like experienced managers and accountants and maintenance folks, and and they usually know what good looks like versus what bad looks like. And so AI here helped kind of convert that tribal knowledge ideally into an overviewable operative model. So examples of   that mapping would be is you know, hey, what is the entire need to lease workflow?   Mo Hussein (14:50) would be is, you know, hey, what is the entire lead to lease workflow? You know,   Jason Hull (14:54) You know, what is the work order to completion, you know? what is our renewal offer to sign and executed actual renewal? And so and actually and again documenting that, a a lot of organizations have some notion of what that workflow kinda looks like. but   Mo Hussein (14:54) What is the work order to completion? You know? what is our renewal offer to signed and executed actual renewal? And so and actually, and again, documenting that. A a lot of organizations have some notion of what that workflow kind of looks like. but you know, they   haven't actually done they may not have documented, or if they did, it's not updated and they have an out of date SOP or a process diagram.   Jason Hull (15:12) you know, they haven't actually gotten any INOT documents in or if they did, it's not updated and they have an out of data so P or a process diagram.   Mo Hussein (15:22) And that's that's and that's that's that's a very important kind of key aspect of kind of this process.   Jason Hull (15:22) and that's that's and that's that's that's a very important kind of key aspect of kind of this process. Yeah, yeah. Well I a lot of times I end up talking with clients and I've noticed kind of this pattern or trend in the industry of I call it the process myth where everybody thinks if we just had better processes   all of our hopes and dreams would come true when it comes to the off side of the business and we would be more profitable. And especially see this in the two to four hundred door range in single family or small multi-residential property management. And so the challenge there is th that it's impossible to create enough processes, KPIs, and systems to make mediocre people be great. But they pe that doesn't stop business owners from trying. They they're like   Mo Hussein (15:59) Right.   Right.   Jason Hull (16:04) They they they wake up in the morning, they're like, I want to play an impossible game today. And they they still try. And I call it the process myth because if you have really great people, even if your processes are garbage, that I've seen these businesses still perform well. But the reverse is not true. You have mediocre people, you could have insane amounts of systems and processes and stuff, and the business still has a lot of headaches and problems.   Mo Hussein (16:16) Mm-hmm.   Jason Hull (16:29) And so I've kind of noticed this pattern. I call it the three levels of process. And level one is documentation. It's just like writing stuff out. But that's kind of like the owner's manual in the glove box of the car. Nobody looks at it, it doesn't get updated. You know, it's like it's it's it's gathering dust, and people don't actually, that's not actually how the processes are run. And over time, things gravitate towards ease or grace or what the flows best for the person doing the job.   Mo Hussein (16:39) Mm-hmm, mm-hmm.   Jason Hull (16:57) Not for what's best for the job sometimes. And so it gravitates a little bit towards chaos or being worse. Then there's this level two, which is checklists. This is where people are using things like Asana or Process Street or Lead Simple or they some sort of checklist space system where now they're verifying the works getting done in a certain way. But checklist has its own problems in that it's very linear and not every process is linear.   Mo Hussein (16:59) Right, right.   Read simple. Mm-hmm.   Mm-hmm.   Jason Hull (17:24) There's decisions   and splits and merges and sting things happening concurrently in property management. And so the challenge with checklist also it can tend to slow things down. It's not as efficient. So the next level and the problem I had with checklist, we used to use process street, is that it it if anytime a process got complicated, I had to build logic and you know, if-then sort of situations into it.   And it usually got to the point where I didn't even understand it. Like a year later, I'm looking at a process. I'm like, I had to retranslate this back into something that made sense to my brain. And I always, and the nerd had to be the one that did all the updates on it because nobody else could understand it. So then we eventually graduated to level three. So level three is visual workflow. This is for humans.   Mo Hussein (18:01) Right.   Mm-hmm.   Jason Hull (18:13) And so, and with with this, my tip to everybody listening, if you have a system, whether it's checklist or it's any of these three levels, you know, documentation, checklist, or visual workflow, that you your first two processes you make as an operator or as a business owner is how to create a process in this system is number one. And number two, how to QA.   Mo Hussein (18:26) Did   Jason Hull (18:37) A process that is made in the system to know it's actually a good one. If you just make those two, you don't have to do any of the other stuff. Everybody else can do it. You just make those two. That's my tip for all you business owners. And now with AI, you can start adding AI. Once you have things visually mapped out, it's you've got the map like you're talking about. Now you can figure out all right, where can AI take over some of this stuff? And where do we still need the human in the loop? Right. So yeah.   Mo Hussein (18:43) Mm.   And automation. Mm-hmm. Yep.   Yeah.   Right,   Jason Hull (19:05) So any tips for those listening to this that are already geeking out with AI, they're doing a little bit of this measuring and mapping and automating. What are some of the biggest challenges you've noticed where this kind of breaks down or people are making mistakes?   Mo Hussein (19:19) It's it's honestly it's the it's the you know, AI value. it's it's a lot of the small individual decisions that are made in a in a repetitive fashion and that that are made a lot that really are gonna unlock like true value for for any operator. And so like, you know, having very clean data, standardized, you know, systems of truth by what we mean by that is that, you know, hey, you know.   Jason Hull (19:20) It's it's honestly it's the it's the you know, AI value it's it's   like true value for for any op   clean data, standardized, you know, systems of truth. But what we mean by that is that, you know, hey,   you know, you know, whatever work order system that you're using, for example, has accurate, you know, work order data. People, you know, you're making a segment for actually closing out the work order when they complete it. Hey, the end of the week, I'm gonna now try to remember what I did earlier in the week.   Mo Hussein (19:47) you know, whatever work order systems that you're using, for example, has accurate, you know, work order data. People, you know, your maintenance technicians are actually closing out the work order when they complete it. Not just, hey, the end the week, I'm gonna now try to remember what I did earlier in the week.   Close it out. So the data is   the data can't be trusted, then AI is just going   Jason Hull (20:04) data the be trusted and AI   Mo Hussein (20:07) to cause additional kind of confusion. And so having accurate systems of record. And I gave that example of of of a work order when a technician kind of closes that, right? the process map, I think the you know, the three buckets are like three level that you kind of gave, I think is a great, great.   Jason Hull (20:20) Yeah, yeah. Yeah, that makes sense.   yeah.   level that you kinda gave I think it's a great,   great anecdote and framing of how processes should be kind of looked at. And and I think one thing that a lot of operators usually tend to overlook or assume is you know how things are being done versus how they actually are being done within the schemes, right? So an owner somebody at some point said, okay hey this is a process we're gonna take and then over time that just kind of got changed.   Mo Hussein (20:29) anecdote and framing of how processes should be kind of looked at. And and I think one thing that a lot of operators usually tend to overlook or assume is you know how things are being done versus how they actually are being done within the teams, right? It's an owner, somebody at some point said, okay, hey, this is the process we're gonna take. And then over time that just kind of got changed. And there   may be, you know, two different property managers   Jason Hull (20:55) And there may be, you know, two different property managers   Mo Hussein (20:58) operating in two different regions in the same company that are doing leasing renewal differently, right? That going back to that point that you mentioned about systematizing and having accountability loops and task base or like checklist items and ensuring that those things are actually done in that same quality and that same fashion is very, very key. And so getting data, like getting the right data, accurate data,   Jason Hull (20:58) operating in two different regions in the same company that are doing these things renewal differently. Right. That point that you mentioned about synthesizing and having accountability loops and task based or like checklist items and ensuring that those things are actually done in that same quality, in that same fashion is very, very key. And so getting data, getting the right data, accurate data   Mo Hussein (21:23) and then also like your process mapping and your   Jason Hull (21:24) And then also like your process mapping   and your processes kind of documented. I think I think the visual representation is a great way to have that. And those are the two key things that ninety percent of folks that are trying to leverage AI and automation and even the folks that are starting to try to jump into this space and try to automate and use AI for these things like usually we're like where where they're really struggling with. got it. Yeah, I think   Mo Hussein (21:26) processes kind of documented. I think I think the visual representation is a great way to have that. Those are the two key things that ninety percent of folks that are trying to leverage AI and automation and even the folks that are starting to try to jump into this space and trying to automate and use AI for these things like usually we're like we're where they're really struggling with.   Jason Hull (21:50) I was just on a webinar recently and they were talking about building AI agents and they were talking about if you want to make really effective AI agents, you need to give them a really good job description, just like a human. And what what's really funny is if you we coach clients on this a lot, but if we tell the clients to to go, we coach clients on   Creating job descriptions. We call our version of them R docs because each section starts with an R, like role, responsibility, et cetera, all the typical stuff. But then we have some additional sections that we found really paramount. So what we'll tell them to do is go ask your team members, give them this framework, and have them create their own R Doc. And then you take a look at this and see if that's what you would have created. Because it's never like what they think their job is. It's usually very different than what the business owner thinks their job is.   Mo Hussein (22:25) Mm-hmm.   Right.   Jason Hull (22:36) And maybe even different what the manager, the ops person thinks the job is, but then you can actually literally get on the same page with them. You can be like negotiate this and be like, this is what we think your priorities should be, and what your outcomes should be, and what we want you to be able to accomplish. And this is helpful for them to know what they're aiming for so that they can please you because your team members want to please you if they're good. But usually there's a big disconnect, like you're saying, between what   Mo Hussein (23:00) Mm-hmm. Mm-hmm.   Jason Hull (23:05) the the employee thinks their j role and job is versus what their manager thinks they should be doing versus what the business owner thinks everybody should be doing. And so nobody's on the same page. And then you're everybody's roles are a little messy. And then you're going, let's give them processes now to work on. And they're not even clear on what their job is or what their role is. Yeah. And so same thing if you were going to build an AI agent and you were like, I want you to try and be good at everything. And then suddenly it's like really   Mo Hussein (23:29) Right.   Jason Hull (23:34) Hallucinating a lot and it's messing everything up and yeah. And it's not a realistic creature, you know, just like some people give create job descriptions that are for like four different personality types. Right. And then they hire somebody that maybe can actually do all four things, and we call those really highly adaptable, weird creatures entrepreneurs. And then they wonder why that property manager left and stole all their clients.   Mo Hussein (23:34) Horrible.   Right.   Yeah.   Jason Hull (23:57) Instead of finding somebody that's like really good at being one thing. Right. Yeah. And that's how you should see Asia.   Mo Hussein (24:00) Right. That that that that role clarity is very, very, very important, right? And that's how you should see agents as well, is that   like, hey, it's like a trained employee. And so you should exp you should expect the same level of, you know, investment involvement, if you will, and trying to and try to help them be the best of like, you know, whether it's a leasing agent, a maintenance coordinator, or whatever that their role may be. And I I think another aspect is and I'm curious how like how   Jason Hull (24:12) you should expect the same level of you know investment involvement if you will and trying to and try to help them be the best of like you know whether it's a leasing agent a maintenance coordinator or whatever that their role may be and I I think another aspect is and I'm curious that   like how you know when you guys are having conversations with clients around role descriptions stuff it's the concept of ownership like hey what you know how to how to align ownership to and lining that up to hopefully the mental business   Mo Hussein (24:28) you know, when you guys having conversations with clients around role descriptions and stuff, it's the concept of ownership. Like, hey, what, you know, how to how to align ownership to and lining that up to hopefully an eventual business outcome or KPI   or something so that, you know, their performance drives also the business performance, right? How have you guys had this conversation or how do you talk about kind of that concept? I can kind of allude to it without kind of explicitly calling it out.   Jason Hull (24:42) Kate guy or something so that you know their performance derives also the business performance, right? Yeah. How do you talk about kind of that concept? You kind of allude to it without kind of explicitly calling   it out. Yeah, I think well, sometimes I'll just totally call a business owner out on things. But I think what I think will be interesting is people are building starting to build agents. I think that they should.   They should have an understanding of personality types. I think they should have an understanding maybe or a conversation with AI about what Myers Briggs type might be good for this agentic role. And because like somebody that's really good at like strategy and the strategist role, which would be like an INTJ in Myers Briggs, might be good at some operational stuff, but they would be really terrible at customer service.   Mo Hussein (25:19) Mm-hmm.   Jason Hull (25:33) Because a lot of INTJs don't even like humans, right? And so they're logical thinkers and they're really judging and they're practical and they're in you know introverted and they're really bad at understanding how the other person feels or even expressing that. And so you're you you don't want to create these try and create AI AI agents that are multiple split personality types, because I don't think they're gonna be as effective. And you can't also, just like you wouldn't want somebody building the process.   QE QA QA of the process. You don't want them both. You don't want AI to be checking itself. Right. Right. The the brain that had problems doing the messing things up, maybe, or didn't do it totally right. You don't want them checking their own work. Right. And so, yeah, so I think this is going to be interesting that people are going to be building agents and they usually think just logically here's the context it needs, here's the role, whatever. But I think also maybe give it the personality that it.   Mo Hussein (26:08) Right, right.   Right.   Jason Hull (26:29) What's the disc assessment for this person, this agent? What's the Myers Briggs type for this agent? And then if especially if they're communicating with humans or doing a task that you want them to be somewhat human like, they're going to be much better at doing this if you give it you create them in the right way. Just an idea.   the other thing to know as a business owner, you need to know who you are so that you can build your dream team around you. So your advisors, whether they're agentic or human, your advisors, your team members, it should be built ultimately around you thriving and being healthy in your own business so that you've got the tea the tools and the resources that fit you. But most business owners make the mistake.   Of trying to build the business around the business and then wonder why they're miserable and why they're kind of a slave to their own business. Right.   Mo Hussein (27:16) Right. Right. Right.   Jason Hull (27:20) So anyway, Mo, measure, map, automate, MMA. Doesn't involve fighting too much. You know, like mixed martial arts. It's a little bit on the, you know, less physical side of things. fun chatting about.   Mo Hussein (27:26) No.   Jason Hull (27:34) all the the AI stuff that's going. How can people anything else that you want to add to our conversation here about yeah this model? And then could you tell us a little bit about what you do and how maybe you help property managers with this stuff? Yeah. Yeah. so I guess just to put it succinct, kind of a a sandwich kind of takeaway. So yeah, operators need to wait for a perfect AI.   Mo Hussein (27:48) Yeah. Yeah. so I guess just to put it succinctly, kind of a a a sandwich kind of takeaway. So, yeah, operators don't need to wait for a perfect AI strategy.   Start by identifying, measuring where value exists, where things are leaking, then mapping workflows and then deciding what can be safely automated and measuring whether those actions improve performance. and so   Jason Hull (28:00) Identifying, measuring where value exists, where things are leaking, then mapping workflows, and then deciding what can be safe and automated, and measuring whether.   Mo Hussein (28:10) like you know, over time we'll see that you know the winners are not gonna be the companies that have the most amount of most amount of data, but they're the ones that can convert data into consistent operating actions across how they've operated every door. if you we help clients with you know putting together SOPs, also mapping their technology needs, where where they're where they're having operational leaks in the business can be   Jason Hull (28:10) So like you know over time we'll see that you know the winners are not gonna be the companies that have the most amount of most amount of data, but they're the ones that can convert data into consistent operating actions across how they've operated every door. if you we help clients with you know putting together SOPs, also mapping their technology needs, where where they're where they're having operational leaks and the business   can be optimized.   Mo Hussein (28:37) Optimized further using   Jason Hull (28:38) Further using technology and automation, we have a platform that we've built, Prop Strata, to actually connect and help with that automation type effort. and we're also we also do a lot of accounting and and CPA work. you can reach us at www.balanceasset solutions.com, and my emails mo at propstrata.com, or you can reach out to our team at info at balance asset.   Mo Hussein (28:39) technology and automation. We have a platform that we've built, Prop Strata, to actually connect and and help with that automation kind of efforts. then we're also we also do a lot of accounting and and CPA work. you can reach us at www.balanceasset solutions.com and and then my email is mo at at propstrata.com or you can reach out to our team at info at balanceasset solutions.com.   Jason Hull (29:03) Cool. So they could take a look at this at propstrata.com.   Mo Hussein (29:07) Correct. W dot propstrata.com.   Jason Hull (29:11) Okay, cool. Very cool. All right. yeah, check that out, everybody. It sounds interesting. All right. Well, Mo, I appreciate you coming out and hanging out with me here on the DoorGro show and sharing everything.   All right.   So if   If you have ever felt stuck or stagnant in your property management business and you want to take it to the next level, reach out to us at doorgrow.com. We are the world's best at creating high-growth property management companies in the single-family residential space or the small multi-space. And if for a free training or how to get unlimited leads for free, text the word leads to 512-648-4608. That's 512-648-4608.   Also, join our free community just for property management business owners at doorgrowclub.com. And if you want tips, tricks, and ideas to learn about our offers, subscribe to our newsletter by going to doorgrow.com slash subscribe. And if you found this even a little bit helpful, don't forget to subscribe and leave us a review on whatever channel you saw or heard this on. We'd really appreciate it. And until next time, remember the slowest path to growth.   is to do it alone. So let's grow together. Bye everyone.

Ever wanted to snoop behind the scenes of a seven-figure business and see exactly what tools keep the whole thing running? Same. Brandi is nosy like that too.In this episode, she's pulling back the curtain on her full 2026 tech stack, every piece of software she uses to run Serve Scale Soar and all seven of its revenue streams. But here's the honest part: you do not need all of it.Brandi walks through what she recommends for service providers, what she'd do differently if she could go back, and the three tools she's actively cutting as AI keeps getting better. Grab your coffee and let's do the dang thing.IN THIS EPISODE, YOU'LL LEARN:The only two all-in-one tools a service provider actually needs (and when to add more)Why Brandi runs 90% of her business inside FG Funnels, and who should skip itHow Claude built a full Notion revenue dashboard for her in 15 minutesWhy she still recommends Asana over ClickUp and Notion for most freelancersWhich AI tools she pays for (only 2) and which she uses on the free planThe 3 tools she's cutting in 2026 and the real reason whyWhy simplifying your stack matters more than the software bill itselfMENTIONED IN THIS EPISODE:HoneyBook (30% off first year): brandimowles.com/honeybookHoneyBook in a Hurry ($37 shortcut with one-click installs)FG Funnels (discount codes): brandimowles.com/fgfunnelsConversions for Clients (early-stage service providers): conversionsforclients.comThe Strategist Society (scaling past $10K months): thestrategistsociety.comREADY TO SCALE PAST $10K MONTHS?If you're a one-on-one service provider ready to build big-girl-money months with real support, come see what we're building inside the Strategist Society. It's the room, the community, and the daily voice support that helps you scale without hustling yourself into the ground. Head to thestrategistsociety.com.LOVED THIS EPISODE?Screenshot it, share it to your stories, and tag @brandimowles so Brandi can hang out with you over there. Now go do the dang thing.Follow the Podcast: https://podcasts.apple.com/us/podcast/serve-scale-soar/id1477998650Follow Brandi on Instagram: https://www.instagram.com/brandimowlesFollow Brandi on Facebook: https://www.facebook.com/Brandiandcompany

Many people believe yoga begins and ends with the poses—but Asana is only one piece of a much deeper practice. In today's episode of Coffee & Crystals, we're exploring the third limb of the Eight Limbs of Yoga and uncovering why Asana is about far more than physical movement. We also reflect on the transition from Cancer season into Leo season, the symbolism of the Barbault's Basket, and what it means to step into the light with greater confidence, creativity, and presence.✨ In this episode:What Asana really means in yoga philosophyWhy yoga is more than physical posesThe connection between breath, movement, and mindfulnessBalancing effort with ease on and off the matBirthday reflections and protecting your energyThe symbolism of the Barbault's BasketStepping into Leo season with confidence and creativityReflection questions to deepen your yoga practiceJournal prompt for your next chapterFollow Kadie on instagram: https://www.instagram.com/kadiechron/Follow the show on instagram: https://www.instagram.com/coffee_and_crystals_with_kadie/Work more with Kadie: https://coffeeandcrystalspr.com/

Strength is becoming an essential part of modern yoga, but what does it really mean to be strong in asana? I sit down with functional strength coach Chhavi Sahal to explore trunk stability, core engagement, flexibility versus strength, and practical ways yoga teachers can build stronger, more resilient practitioners.Episode Highlights:Strength gaps in asanaTrunk stability and load-bearingStrength versus flexibilitySthira Sukham AsanamPush and pull strengthStrength beyond yogaBuilding trunk and core strengthStanding versus supine core engagementPosterior chain strengthBalanced hip stabilityBenefits of strength trainingStrength and yogic practicePrana & Presence: An Immersive Week of Yoga, Stillness & Soulful Study in Southern ItalyJoin our mailing listFind all the resources mentioned in this episodeConnect with us on InstagramSubscribe to Aham Yoga on YouTubeLet's Talk Yoga Podcast on YouTubeLeave us a review and share this podcast with your friends!

Deborah Corn and Productivity Coach Sarah Ohanesian discuss how unclear communication creates frustration and wasted time, practical ways to improve clarity through better processes, and aligning expectations, and communication styles that help people absorb and act on information more effectively. Mentioned in This Episode: Time Management Tips in 20: Communicating with Clarity Part 1: https://podcastsfromtheprinterverse.com/time-management-tips-in-20-communicating-with-clarity-part-1/ Making Space for Neurodiversity in the Workplace: https://podcastsfromtheprinterverse.com/neurodiversity-in-the-workplace/ Sarah Ohanesian on LinkedIn: https://www.linkedin.com/in/sarahohanesian/ SO Productive: https://www.so-productive.com/ Productivity Power Hours: https://www.so-productive.com/productivity-power-hour/ Asana: https://asana.grsm.io/sarahohanesian308 Command the Chaos Course: https://www.so-productive.com/productivity-course/  Deborah Corn on LinkedIn: https://www.linkedin.com/in/deborahcorn/ Print Media Centr: https://printmediacentr.com Subscribe to News From The Printerverse: https://printmediacentr.com/subscribe-2  PrintFM Radio: https://printfmradio.com/ Girls Who Print: https://girlswhoprint.org Project Peacock: https://ProjectPeacock.TV 

Launching a podcast doesn't require a fancy studio or expensive equipment, and I prove it in this second installment of the nine part podcast launch series. Recording from my home in rural Wisconsin as a mom of two, I walk through exactly what you need to get started: lighting, video recording, hosting, scheduling, branding, and website tools, most of which you probably already own. I break down my go to platforms for editing and hosting, the design tool I use for brand images, the website builder that made building my own site simple, and the organization and communication tools that keep my show (and our client's work) running smoothly. If you're overwhelmed by the idea of gear and tech, this episode will put your mind at ease.Key Topics CoveredWhy you don't need expensive equipment to start a podcastRecording a podcast using just an iPhoneLighting tips: natural light and a ring light for better video qualityRiverside as an all-in-one recording and hosting platformCreating branded images with CanvaBuilding a user-friendly website with SquarespaceUsing social media to grow your podcast presenceStaying organized with Google Drive and AsanaTeam communication and collaboration with SlackLinks & Resources:Listen to Ep. 76: https://www.pivotballchange.com/podcast-1/76Ring Light Affiliate Link: https://amzn.to/4vuvRdZD1 Microphone Affiliate Link: https://amzn.to/4w5IgWQPaige & Becca's Episode: https://www.pivotballchange.com/podcast-1/62-528gy-aawclLet's Connect!Book Your Podcast Consultation Today: https://www.pivotballchange.com/servicesLaunch Your Podcast with Pivot Ball Change: https://www.pivotballchange.com/servicesFollow Pivot Ball Change on Instagram: https://www.instagram.com/pivotballchange/Visit Pivot Ball Change's Website: https://www.pivotballchange.com/Riverside: https://riverside.sjv.io/c/6950782/2183832/28064

Subscribe to DTC Newsletter - https://dtcnews.link/signupDan bootstrapped Unbound Merino from a Reddit-fueled obsession with merino wool into a brand approaching nine figures in lifetime revenue, with a warehouse sale, a growing women's line, and zero outside funding.In his second appearance on the DTC Podcast, the Unbound co-founder gets specific about what actually moved the business over the last three years, why he almost lost 80% of his sales in a single day, and why he now cares more about the product and the friendships than any growth hack.What you'll learn:Why the ads Dan loves flop and the cringe ones scale, and how he made peace with itThe creative volume system that unlocked Meta scaling in 2023, and why Meta stopped working the same wayHow word of mouth (15% of new customers) and a 50/50 women's line changed the growth modelThe de minimis and tariff shock that nearly ended the company, and the scramble to open a Dallas warehouse before Liberation DayHow Unbound uses a custom AI wired into Shopify, its ERP, Asana, Slack, and Drive to triangulate why products get returnedWhy 5% of sales now come from ChatGPT and Claude, and what that means for discoveryWho this is for: bootstrapped founders, DTC operators, and anyone selling a premium product who is tired of renting customers from Meta.What to steal: the reorder-first mindset, the creative iteration loop, and the tariff survival playbook.Timestamps:00:00 Building a $90M travel apparel brand02:12 Scaling Meta with creative volume08:00 Why product quality beats acquisition tactics16:00 How tariffs nearly killed the business32:05 AI as a business advisor and data analystSubscribe to DTC Newsletter - https://dtcnews.link/signupAdvertise on DTC - https://dtcnews.link/advertiseWork with Pilothouse - https://dtcnews.link/pilothouseFollow us on Instagram & Twitter - @dtcnewsletterWatch this interview on YouTube - https://dtcnews.link/video

Krishna Das offers his perspectives on selfless service, committed practice, and uncovering the presence that has always been within.This time on Pilgrim Heart, Krishna Das discusses:Doing selfless service for others anytime and anywhereKeeping up with our practice in order to receive the fruits Asana and Pranayama to clean our energy channels and heal the bodyUncovering the presence that already exists within us Guru devotion as a means to dissolve the separate selfAbout Krishna Das:Layering traditional Hindu kirtan with instantly accessible melodies and modern instrumentation, Grammy nominee Krishna Das has been called yoga's “rock star.” With a remarkably soulful voice that touches the deepest chord in even the most casual listener, Krishna Das – known to friends, family, and fans as simply KD – has taken the call-and-response chanting out of yoga centers and into concert halls, becoming a worldwide icon and the best-selling chant artist of all time. His album ‘Live Ananda' (released January 2012) was nominated for a Grammy in the Best New Age album category.KD spent the late '60s traveling across the country as a student of Ram Dass, and in August 1970, he finally made the journey to India, which led him to Ram Dass' own beloved guru, Neem Karoli Baba, known to most as Maharaj-ji. Krishna Das now travels the world sharing his kirtan practice and wonderful stories of his life, of Maharaji-ji, of his life on the Path and discusses bringing chanting into our lives through retreats and workshops. To date, KD has released 15 well-received albums, most recently Trust in the Heart released in October 2017.MORE INFORMATION and OFFERINGS VISIT: https://krishnadas.com/ KRISHNA DAS ON SOCIAL: FACEBOOK: facebook.com/KrishnaDasMusic INSTAGRAM: instagram.com/krishnadasmusic YOUTUBE: / krishnadasmusic X: @krishnadas #KrishnaDas“Service can be done anytime, anywhere. It doesn't have to be your job so to speak, it doesn't have to be a big deal, it doesn't have to make you money. Real service is learning how to treat other people with the same love and respect that we would like to be treated. You can do that now. You don't have to wait for permission, you don't have to wait for inspiration.” –Krishna DasSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Arnab Bose, Chief Product Officer at Asana. Asana is the work management platform built for human and AI collaboration, trusted by over 170,000 customers including Accenture, Amazon, and Anthropic. The platform's Work Graph maps goals to portfolios to projects to tasks and serves as the foundation for Asana's AI Teammates: collaborative agents that operate inside the graph, learn from human decisions, and compound their intelligence with every cycle. What you'll learn:Why enterprise AI spend keeps returning zero productivity gains, and what is structurally breaking the loopWhy every employee approval, correction, or rejection of AI output is training data that makes the system smarter over timeHow Asana wires its own processes through the Work Graph so that AI decisions write back automatically and compound rather than resetHow PLG, forward-deployed engineers, and AI agents all report to the CPO, each under a GM who owns a revenue numberWhy the future of AI at work belongs to whoever has the richest shared context, not whoever has the best modelKey takeaways:Individual AI productivity gains compound into zero enterprise ROI when decisions never write back into a shared systemEvery human approval or correction is training data. The companies that capture it structurally will pull ahead of those that don'tPLG is an acquisition funnel, not a sales motion. Giving it a GM with a revenue number inside product changes the incentives entirelyCredits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Arnab BoseSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

Natalia Quintero joined Every as head of consulting with a mandate to bring AI into the workflows of executives at hedge funds, private equity firms, and tech companies. She is also a recent Codex convert—someone who spent months resisting the tool before Dan Shipper's daily pestering finally got her to try it.Natalia encountered Codex as a non-technical builder who had learned to navigate file systems and folder structures in Claude Code through sheer effort. She's now used Codex to do everything from automate her CRM setup to build a portal to manage her father's medical care.Dan talked with Natalia for AI & I about what it looks like to go from non-technical to building software with Codex, why Every still uses software-as-a-service products from Attio and Asana instead of vibe coding their own tools, and where she thinks AI agents like Every's internal Claudie employee require human managers.If you found this episode interesting, please like, subscribe, comment, and share!To hear more from Dan Shipper:Subscribe to Every: https://every.to/subscribeFollow him on X: https://twitter.com/danshipperTimestamps:00:01:05 Introduction00:02:35 How Natalia manages Claudie, the consulting team's AI project manager00:04:55 Why the consulting team still pays for SaaS products00:11:47 Codex as a game changer00:14:55 Building personalized learning guides and illustrated explainers with AI00:21:40 Inside Natalia's AI-powered email triage system00:26:44 The shift from knowledge work as sculpting to knowledge work as gardening00:28:57 Using Codex to one-shot a custom CRM00:33:16 Using Codex to build an app that coordinates her father's medical careLinks to resources mentioned in the episode:Natalia Quintero on X: https://x.com/NataliaZarinaAsana (project management): https://asana.comEvery Consulting: https://every.to/consultingGo to attio.com/every and get 15% off your first year.

Rebecca Hinds is the bestselling author of Your Best Meeting Ever and a leading expert on work transformation and the future of work. Rebecca earned a B.S., M.S., and Ph.D. from Stanford University. In 2022, she founded the Work Innovation Lab at Asana, a first-of-its-kind think tank that conducts actionable research to help leaders and organizations navigate the growing challenges and changes of work. In 2025, she founded the Work AI Institute at Glean, where she leads cutting-edge research on how AI is reshaping work. Rebecca's award-winning research and insights are consistently featured in places like Harvard Business Review, The New York Times, The Wall Street Journal, Forbes, Inc., and Time. Rebecca is a co-instructor for the CNBC Make It course, How to Use AI to Be More Successful at Work, and a columnist at Inc. and Reworked.Link to claim CME credit: https://www.surveymonkey.com/r/3DXCFW3CME credit is available for up to 3 years after the stated release dateContact CEOD@bmhcc.org if you have any questions about claiming credit.

Pierre Colliot est dans le secteur juridique depuis 2016 — La Fabrique Juridique, Jarvis Legal, Rock The Law, puis BLNK après la fusion avec Léganov. Dix ans à aider les avocats à gagner en visibilité. Et puis, fin 2024, il revend Rock The Law. Non pas parce que le marché s'effondre, mais parce que la recette est devenue trop connue, trop uniformisée, et qu'il n'y croit plus assez pour continuer à la vendre.Ce qui vient ensuite, c'est Zevra — un studio LegalTech né d'une nuit de vibe coding pour remplacer un abonnement Asana à 800 euros par mois.Dans cet épisode, Pierre Colliot démonte méthodiquement ce qui a changé dans le référencement pour les cabinets d'avocats — et ce que ça implique concrètement aujourd'hui.Le SEO n'est plus une affaire technique. Il est devenu omnicanal : ton classement dépend de ta cohérence de marque, de tes prises de parole externes, de ta page auteur, autant que de la structure de ton site. Les cabinets qui ont investi dans du contenu de qualité ces trois dernières années résistent aux Google Core Updates successives. Les autres ont perdu jusqu'à 75 % de leur trafic.Le GEO — référencement sur les moteurs de recherche IA comme ChatGPT, Perplexity ou Claude — obéit à la même logique : seul le contenu expert, authentique et techniquement lisible par les LLM remonte. Un site bâti avec trop de JavaScript devient invisible pour ces moteurs. Un article généré en masse sans point de vue ne sert à rien.Pierre aborde aussi l'arrivée du vibe coding — développer en langage naturel sans être développeur —, la genèse de Zevra, le bootcamp où sept avocats sont arrivés avec une idée et repartis avec une application fonctionnelle, et sa conviction que l'IA ne remplace pas l'avocat : elle déplace la valeur.Un épisode pour ceux qui veulent comprendre où en est vraiment le marketing juridique — et arrêter de courir après des recettes qui ont déjà trois ans de retard.Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

This Episode is Sponsored by StayFi Your ultimate tool for Vacation Rental WiFi marketing allowing you to collect guest emails automatically via custom captive WiFi login splash pages. Drive repeat direct bookings and convert your OTA bookings to book direct for their next visit. Visit https://stayfi.com/vrsuccess/ and use code VRSUCCESS for 50% off 3 months of StayFi service. _________________________________________________________________________________________________________ Jodi Bourne is back for the latest installment of the new regular segment with Heather, built around a simple premise: AI is moving fast, and the two of them are going to keep working through it together, out loud, for listeners who want to come along. This conversation goes deeper into the practical mechanics of working with Claude. Heather and Jodi talk through connectors (MCPs that link Claude to tools like Gmail, Google Drive, Asana, and accounting software), skills (saved, reusable instruction sets that replace the old habit of copying and pasting prompts), and what both of them call their AI business brain - a structured foundational document that teaches Claude who you are, what you sell, and how you sound, before you ask it to produce anything. You'll come away with a clear starting point: build the foundation first, connect the tools you already use, and create one simple skill - Jodi's suggestion is a daily "morning coffee" briefing - before trying to do anything more ambitious. Key Takeaways AI output defaults to generic. The fix isn't a better prompt - it's a structured foundation document (Jodi calls hers the Hospitality Brand Bible; Heather calls hers her Business Brain) that teaches the model your business, voice, and audience before you ask it to create anything. Building that foundation properly is not a five-minute job. Heather recommends setting aside the better part of a day and using reverse prompting - asking Claude to interview you, question by question, until it has a full picture of your business. Connectors (MCPs) link Claude directly to the tools already in use - Gmail, Google Drive, Google Calendar, Asana, accounting platforms - so requests can be carried out end to end instead of copying information back and forth manually. Skills replace the old habit of maintaining a library of saved prompts. A skill is a reusable, named instruction set that automatically pulls in the right reference documents and brand voice without being told to every time. The recommended first skill for anyone starting out is a daily briefing - a "morning coffee" routine that summarizes email, flags anything unanswered, and reviews the calendar - because it is simple, immediately useful, and teaches the basics of how skills work. AI will hallucinate and occasionally get things wrong with total confidence. Both hosts were emphatic that nothing goes out the door - a guest bio, an email, an Instacart order - without a human checking it first. ________________________________________________________________________________________________________________________________________

Most organizations treat meetings as the default answer to everything, but that's costing you more than you think. Rebecca Hinds, Head of the Work AI Institute at Glean, researcher, and author of YOUR BEST MEETING EVER, brings a product design mindset to the most expensive form of collaboration in your org. She shares how to spot meeting dysfunction, use AI to audit your calendar, and make intentional changes that actually stick. In this episode: • Why meetings have become the 'junk drawer' of organizational communication, and how visibility bias keeps the habit alive. • How to use return on time investment (ROTI) scoring, meeting minimalism, and shared language to redesign your meeting culture. • The role AI and data play in building the business case for calendar reform, especially with a skeptical C-suite. Timestamps [00:01:10] Why Rebecca went all-in on meeting research and the psychology of visibility bias. [00:02:19] The meeting junk drawer: why meetings become the default for everything. [00:04:39] Treating meetings like a product, including the concept of meeting debt. [00:06:26] Return on time investment (ROTI): a data-driven way to rate your meetings. [00:08:16] How leadership buy-in determines how boldly you can reform your calendar. [00:08:56] Using AI to build meeting calculators and get C-suite buy-in. [00:10:52] Making the business case by anchoring on what the most powerful person cares about. [00:13:54] Building psychological safety so people feel empowered to flag bad meetings. [00:16:36] Shared language for meeting dysfunction, including Meeting Doomsday and meeting minimalism. [00:21:05] The one thing every leader can do this week: intentional design across four meeting dimensions. Guest Bio Rebecca Hinds is the author of YOUR BEST MEETING EVER, a leading expert on organizational behavior and the future of work, founder of the Work Innovation Lab at Asana and the Work AI Institute at Glean. She holds a BS, MS, and PhD from Stanford University. Her research is consistently featured in top-tier publications like Harvard Business Review, The New York Times, The Wall Street Journal, Forbes, Wired, and more. She is a trusted advisor to companies navigating the challenges of modern work, from meeting overload and hybrid dysfunction to the messy realities of AI adoption and organizational change. Brought to You by Paylocity Paylocity is the fastest growing unified platform for HR, Finance, and IT. Paylocity brings your people, processes, and data together in one place so HR leaders can spend less time managing systems and more time doing the work that actually moves their organizations forward. Learn more at paylocity.com Keywords: meetings, meeting culture, organizational behavior, future of work, meeting debt, return on time investment, psychological safety, AI, calendar reform, Meeting Doomsday, meeting minimalism, collaboration, HR leadership, Rebecca Hinds, HR Mixtape

In this episode of Workday Playdate, Erin sits down with workplace researcher, organizational psychologist, and meeting culture expert Rebecca Hinds to tackle one of the biggest drains on modern work: bad meetings. If you've ever stared at a packed calendar or wished collaboration felt more energizing, this conversation is packed with practical ideas to help you reclaim your time and redesign how your team connects.Inside This Episode: Meeting Doomsday Is Coming: Rebecca introduces the concept of "meeting doomsday" and explains how a simple 48-hour calendar cleanse can help organizations break free from unnecessary meetings and reset workplace norms.Why We're Meeting More Than Ever: Learn how meeting hours have exploded over the past several decades, why calendars became the default communication tool, and the hidden costs of constant collaboration.The 4D CEO Test: Before scheduling your next meeting, Rebecca shares her simple framework to determine whether the goal is to Decide, Debate, Discuss, or Develop—and whether a meeting is actually necessary.The Visibility Trap: Discover how visibility bias keeps unnecessary meetings alive and why being busy isn't always the same as being productive.Design Meetings People Actually Want to Attend: From intentional titles to clear outcomes, Rebecca shares practical ways to create meetings that foster connection, collaboration, and momentum. What to Do Now:Audit Your Calendar: Review your recurring meetings and ask: "Does this truly need to happen, or could it be handled another way?"Use the 4D Test: Before scheduling a meeting, identify whether the goal is to Decide, Debate, Discuss, or Develop.Title Meetings with Intention: Replace vague meeting names with clear, outcome-driven titles that tell attendees exactly why they're there. Your FreebieHow do you lead through failure and uncertainty?Today's workplace demands adaptability, creative problem-solving, and leaders who can navigate uncertainty without freezing in perfectionism.This quick quiz will reveal your unique approach to failure and uncertainty, plus give you simple ways to strengthen your adaptability muscles and help your team thrive when things don't go according to plan.About the GuestRebecca Hinds is an organizational psychologist, workplace researcher, and leadership strategist who helps organizations create healthier, more effective ways of working. She serves as the Head of Asana's Work Innovation Lab, where she studies collaboration, productivity, workplace culture, and the future of work. Rebecca's research has been featured in major publications and helps leaders rethink how teams communicate, meet, and thrive. Her work focuses on helping organizations reduce friction, improve collaboration, and build work environments where both performance and wellbeing can flourish.Connect with Rebecca Hinds Rebecca's LinkedInRebecca's websiteRebecca's book: Your Best Meeting EverConnect with Erin Diehl x improve it!Leadership Playground online membership communityErin's websiteErin's InstagramErin's TikTokErin's LinkedInimprove it!'s websiteimprove it!'s InstagramFor more information on improve it! visit www.learntoimproveit.com.

The core structural shift highlighted in this episode is the commoditization of AI model platforms and concurrent consolidation at the vendor and platform layer, forcing Managed Service Providers (MSPs) to move their value proposition above reselling models to orchestrating, governing, and verifying AI outputs. The discussion references the rising concentration and valuation of platforms such as NinjaOne—a founder-led, profitable RMM platform with a $12.3 billion valuation and 70% year-over-year growth—and Pax8 building business toolkits that draw more operational functions onto their rails. At the same time, major AI developers like OpenAI are entering the channel more directly by launching partner programs aimed at MSPs and consultants. The most consequential development is the confirmed shift from reselling AI models to managing their outputs and risks. Glean surveyed 6,000 digital workers and found that while AI delivers approximately 11 hours of weekly time savings, nearly 6.4 hours are reclaimed by “bot sitting”—the human intervention required to supply context, verify, and correct AI outputs. This hidden labor raises a risk scenario: two-thirds of workers admit to releasing unchecked AI outputs, and Ivanti found that only 42% of IT environments actually have a named owner for each AI agent, despite 85% claiming so—a 43-point gap in accountability. Asana and Deloitte further reinforce the issue, reporting frequent cost overruns and unmanaged autonomous AI deployments among enterprise and SMB environments. Supporting developments underscore this governance and accountability gap. TechCrunch cited that ChatGPT's AI market share has dropped below 50% as the field becomes more interchangeable and less differentiated by underlying model. Vendors such as Anthropic and OpenAI, recognizing model commoditization, are seeking revenue through high-volume partner channels, blurring the lines between vendor and channel competitor. According to Asana, more than 80% of UK IT leaders encountered unplanned AI costs, and over half reported business harm from autonomous AI actions, shifting operational and liability risks squarely onto MSPs and IT service providers. Operationally, these trends compel MSPs to take explicit ownership of the orchestration and governance layer, rather than relying on tool reselling. The transcript advises mapping every AI-driven decision or output that reaches client endpoints and identifying who verifies these outputs before customer exposure. Failing to address these governance blanks does not avoid work but shifts it to unbilled, post-incident cleanup, often with financial, legal, or compliance consequences. Effective MSPs will need to price, document, and regularly review their verification, orchestration, and risk assumption, positioning these as standalone, billable services to manage risk and maintain margin as AI platforms commoditize and vendor dependencies rise. 00:00 Bigger Platforms, Unwatched AI 03:44 The Vendor Walks Into the Channel 05:56 Govern It or Absorb It 08:52 Why Do We Care?  Supported by:  ScalePad  Sign up for the SMB Online Conference: www.smbonlineconference.com

Deborah Corn and Productivity Coach Sarah Ohanesian discuss why communication breakdowns create frustration and resentment at work, how unclear expectations lead to repeated mistakes and rework, and practical ways teams can improve clarity, define outcomes, and foster two-way communication before projects begin. Mentioned in This Episode: Sarah Ohanesian on LinkedIn: https://www.linkedin.com/in/sarahohanesian/ SO Productive: https://www.so-productive.com/ Asana: https://asana.grsm.io/sarahohanesian308 Command the Chaos Course: https://www.so-productive.com/productivity-course/  Deborah Corn on LinkedIn: https://www.linkedin.com/in/deborahcorn/ Print Media Centr: https://printmediacentr.com Subscribe to News From The Printerverse: https://printmediacentr.com/subscribe-2  PrintFM Radio: https://printfmradio.com/ Girls Who Print: https://girlswhoprint.org Project Peacock: https://ProjectPeacock.TV

Wall Street built entire neighborhoods just to rent them. August Biniaz breaks down how and why it works.August Biniaz, Chief Investment Officer at CPI Capital, returns to break down build-to-rent (BTR): how the asset class started after the 2008 crash, why institutions like Blackstone pivoted from buying scattered homes to building purpose-built rental communities, and what that means for individual investors today.August also pulls back the curtain on how CPI Capital operates at scale, including the AI tool that cut their deal-screening time by 90 percent, and shares his read on where interest rates and the broader economy are headed going into the rest of 2026.Key topics covered:How Blackstone's Invitation Homes buying spree of 75,000 homes gave birth to BTRWhat life inside a BTR community actually looks like (HOA, amenities, maintenance)Why BTR attracts "tenants by choice" and produces lower turnover than traditional apartmentsHow CPI Capital uses Slack, Asana, HubSpot, and AI to run a private equity real estate firmThe 10-year treasury, the war in Iran, and what August thinks happens to rates nextAugust Biniaz is the Chief Investment Officer of CPI Capital, a private equity real estate firm focused on US multifamily and build-to-rent assets with investors in both Canada and the United States.Learn more at https://cpicapital.comWork With RealDealCrewIf you're already closing deals but your intake, follow-up, or visibility feels inconsistent, here are two ways to go deeper:Take the Deal Intake AssessmentSee how resilient your current operation actually is.→ https://assessment.realdealcrew.comBook a Fit CallIf you want to explore what a fully system-driven deal flow looks like, let's talk.→ https://realdealcrew.com/bookLIKE • SHARE • JOIN • REVIEWWebsiteApple PodcastsYouTubeYouTube MusicSpotifyAmazon MusicFacebookTwitterInstagram

Michelle Makasini is a D1 All-American soccer player turned award-winning digital marketer who has built social ecosystems from the ground up for some of the world's most iconic brands; Hilton, American Airlines, and Asana. As the architect behind Hilton's first-ever Shorty Award, Michelle proved that the most powerful marketing moments aren't bought, they're earned through authentic storytelling and community trust.Now Head of Social Intelligence, Engagement & Advocacy at Asana and founder of Makasini Group (makasinigroup.com), Michelle brings the same grit, film study, and team-first mindset from her days on the field to every brand she champions. Her philosophy is simple: in sports, you're always live, no edits, no do-overs, just realness over polished perfection and failure is going to be a part of the journey, so use it to get better, and great marketing should feel exactly the same way.The US Men's National Team surprised kicked off the World Cup in style against Paraguay but the process leading up didn't always look confident, a reminder that winning on the biggest stages doesn't happen overnight. It's built in the reps, the losses, the film sessions, and the moments nobody sees. That's exactly what this episode is about. Tune in for the playbook.

Yoga is an inquiry into the nature of the mind, body, and consciousness. It provides a ritual that fosters belonging, meaning, and purpose, creating a sense of community and support. Through asana, yoga helps focus the mind on the breath, entering a state of stillness and awareness. A balanced practice is grounded in ethics and personal discipline, guided by the 8 Limbs of Yoga, particularly the Yamas (ethical guidelines) and Niyamas (observances). Key principles include non-violence (Ahimsa), truthfulness (Satya), and self-study (Svadhyaya).Asana practice emphasises steadiness (Sthira) and ease (Sukham), with focus on breath, sensation, and internal light (prana). This leads to overcoming duality and attaining a state of yoga. Obstacles such as dullness and self-doubt arise, but cultivating awareness, friendliness, joy, and compassion can help overcome them. Using tools like R.A.I.N. (Recognise, Allow, Investigate, Nurture), we learn to self-regulate and move toward lasting fulfilment and freedom from suffering.To read more and to practice with Zephyr Wildman, click here. To support Zephyr Yoga Podcast, donate here. Hosted on Acast. See acast.com/privacy for more information.

What if the biggest risk of AI in marketing isn't about job replacement, but about creating more fragmented, siloed work?Agility requires more than just adopting new tools; it demands a fundamental rethinking of how teams collaborate and orchestrate work. When a technology like AI promises to accelerate individual tasks, true agility means ensuring that acceleration translates into collective momentum, not organizational friction.Today, we're going to talk about moving beyond the hype of AI experimentation and into the reality of its operational impact on marketing teams. We'll explore what happens when AI graduates from being a personal productivity tool to becoming an integrated part of a team's workflow, and how that shift changes everything from campaign execution to the very structure of marketing itself.To help me discuss this topic, I'd like to welcome, Prachi Gore, CMO at Asana. About Prachi Gore Prachi Gore is the Chief Marketing Officer at Asana, where she leads the company's global marketing strategy and brand development. Prachi brings extensive experience scaling product-led B2B organizations, having previously served as SVP and Chief Marketing Officer at Checkr, where she built the company's demand engine, elevated its brand, and launched its product-led growth business. Prior to Checkr, Prachi led Marketing at SmartRecruiters, guiding the company's evolution from an SMB-focused product to a leading enterprise talent acquisition suite. This diverse background across consumer, SMB, and enterprise markets gives her deep expertise in demand generation, brand strategy, and AI-enabled go-to-market innovation. Prachi is passionate about creating marketing that combines human creativity with rigorous, data-driven execution, and is committed to helping teams work more effectively and tell clearer stories. Prachi Gore on LinkedIn: https://www.linkedin.com/in/prachigore/ ---------- Resources ---------- Asana: asana.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://aglbrnd.co/r/2868abd8085a9703 We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Learn more: https://advertalize.com/r/491818c79fb1873fDon't miss We Make Future - the International Festival of Innovation in AI, Tech, and Digital Marketing, June 24-26 in Bologna. Learn more: https://aglbrnd.co/r/c80991afff416bb2The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose. Learn more: https://aglbrnd.co/r/60a7299222a7bcf1 Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3 Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://aglbrnd.co/r/35ded3ccfb6716ba Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company Hosted on Acast. See acast.com/privacy for more information.

our deals this week. One disclosed price. The same trade running through all of them — buyers acquiring capability quietly rather than building it.Christian and Ayelet break down what each deal actually signals about where the software and agency markets are heading — plus stick around for the live after-show with Kevin Simonson, CEO of adMixt, on the Interluxe Group acquisition.One deep dive. Three quick hits. One live after-show.What we cover: Why Sprinklr restarted M&A after nearly five years and what choosing ViralMoment first says about the market, the "tale of two cities" in AI exits — top 1% startups clearing the preference stack vs. capability tuck-ins sold as assets, why Asana's $75M StackAI deal is the other side of that coin, and how two ad tech and agency deals (Peer39/Adloox and Interluxe/adMixt) reflect the same buy-not-build logic.⏱️ TIMESTAMPS0:00 — Welcome to Market and Deals Friday0:30 — Quick market context: the data is backing up the thesis2:50 — Why corporate M&A is surging while PE volume drops4:11 — Deal #1: Sprinklr acquires ViralMoment — video-native social intelligence5:00 — The gap it fills: social moved to video, listening tools are still text-based5:50 — ViralMoment background: founded by Chelsea Hall, Carnegie Mellon, seed-stage6:27 — Sprinklr's earnings context and why this was a buy-not-build asset deal7:30 — The tale of two cities: top 1% AI startups vs. capability tuck-ins8:30 — Sprinklr is hiring an M&A role right now (and Christian's soapbox on the title)9:22 — Deal #2: Asana acquires StackAI for ~$75M — clearing the preference stack10:00 — Why this is the "right tech, right team, right investor" version of the same trade10:30 — The MIT startup angle and the agent execution layer Asana was buying11:01 — Deal #3: Peer39 acquires Adloox from Scope3 — walled garden verification11:50 — Why this matters against DoubleVerify and IAS11:55 — Deal #4: Interluxe Group acquires adMixt — performance firepower for luxury12:56 — The thread tying all four deals together: buy is beating build13:27 — Tease: big announcement next week + after-show with Kevin Simonson of adMixtLinks:Goldman report: https://www.goldmansachs.com/insights/articles/ma-volume-expected-to-surge-this-year-despite-economic-uncertaintyEY Parthenon report: https://www.ey.com/en_us/newsroom/2026/06/ey-parthenon-forecasts-resilient-8-percent-growth-in-us-dealmaking-in-2026-despite-geopolitical-and-economic-headwindsConnect with Christian and AyeletAyelet's LinkedIn: https://www.linkedin.com/in/ayelet-shipley-b16330149/Christian's LinkedIn: https://www.linkedin.com/in/hassold/Web: https://www.inorganicpodcast.co Hosted on Acast. See acast.com/privacy for more information.

On this episode of Inside the Brand Experience, Invision's Laliv Hadar, SVP, Brand and Marketing, sat down with Katie Batten, Director of Strategic Events at Okta, and Allison Barrett, Head of Global Events at Asana, to explore a question many experiential marketing leaders face: how do you build intentional innovation into your events program before it becomes an afterthought?Katie shared how Okta's Octane Ambassador Program turned internal enthusiasm into a real operational advantage, and how one ambassador's AI idea changed the way her team works. Allison introduced the 50% Rule, a framework borrowed from Tennis Australia that challenges teams to intentionally reinvent their events year over year. The conversation also got honest about AI, where it actually belongs in a live experience, and where it risks getting in the way of the thing people showed up for.This isn't just about efficiency. It's about creating the conditions for better work and better moments.Don't forget to rate, review and subscribe to stay fresh on the latest industry trends, technologies and insights.

Running a business effectively takes well-documented processes. Everyone in the organization needs to know what they're supposed to do to run seamlessly and optimize productivity. Today, Kendra Perry talks about something critical – your company manual. Tune in to understand its value and discover a tool that will help you save time, increase productivity, and save your mental health. Resources Mentioned in this Episode:Zapier: https://zapier.com Trello: https://trello.com  https://kendraperry.net/episode144Love the show? Subscribe, rate, review, and share! https://kendraperry.net/

In this episode, we explore the staggering $65 billion raise by Anthropic, propelling them beyond OpenAI's valuation and transforming the AI landscape. We also discuss innovative moves by companies like Shift and Asana, tackling community-driven robot training and expanding their tech capabilities amidst an evolving market.Chapters00:00 Introduction00:30 Anthropic's Valuation Surge05:01 Shift's Robot Training Initiative09:28 AI in Healthcare at Boston Children's11:49 Grok's Funding and Independence14:00 Asana Acquires Stack AI Show LinksGet the top 80+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter

Rebecca Hinds discusses the simple shifts that turn meetings from time-wasters into value-generators.— YOU'LL LEARN — 1) Why most meetings don't feel like “real work”2) Why every organization needs a “meeting doomsday”3) The easy agenda fixes that save so much timeSubscribe or visit AwesomeAtYourJob.com/ep1156 for clickable versions of the links below. — ABOUT REBECCA — Rebecca Hinds is a leading expert on organizational behavior and the future of work. She holds a BS, MS, and PhD from Stanford University. Rebecca founded the Work Innovation Lab at Asana and the Work AI Institute at Glean, first-of-their-kind corporate think tanks dedicated to conducting cutting-edge research on the future of work.She is a trusted advisor to companies navigating the challenges of modern work—from meeting overload and hybrid dysfunction to the messy realities of AI adoption and organizational change.• Book: Your Best Meeting Ever: 7 Principles for Designing Meetings That Get Things Done• LinkedIn: Rebecca Hinds• Website: RebeccaHinds.com— RESOURCES MENTIONED IN THE SHOW — • Tool: Glean• Book: Give and Take: Why Helping Others Drives Our Success by Adam Grant• Book: Scaling Up Excellence: Getting to More Without Settling for Less by Robert Sutton and Huggy Rao• Book: The Friction Project: How Smart Leaders Make the Right Things Easier and the Wrong Things Harder by Robert Sutton and Huggy Rao• Past episode: 492: Making Meetings Work with J. Elise Keith• Past episode: 684: Achieving More by Tapping into the Science of Less with Leidy Klotz— THANK YOU SPONSORS! — • Scribe. Book a personalized enterprise demo with scribe.how/awesome• Narwhal. Treat your home to spotless, fresh floors with us.narwhal.com/pete.• Monarch.com. Get 50% off your first year on with the code AWESOME.• Shopify. Sign up for your $1/month trial at Shopify.com/awesomepodSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Sarah, Social Media Manager at ManyChat, has grown the brand's Instagram to over 600K followers as a B2B company — and she did it by leading with value instead of product pitches. In this episode of Beyond Social, Sarah joins hosts Chris Cunningham and Reggie Azevedo to break down the content strategy behind ManyChat's social growth and what it really takes to build an engaged audience in the creator economy. Sarah covers why an 80/20 split between educational content and product promotion is the formula that actually converts, how ManyChat uses comment automations to drive massive engagement (and why their followers trigger keywords even when they're not asked to), and how she manages YouTube and Instagram with a lean but structured team workflow built inside Asana. The conversation also gets into AI and where it actually fits in a social media workflow — as a brainstorming partner and efficiency tool, not a replacement for the creativity that makes content stand out. Sarah also shares her framework for evaluating what's working, from watch time and engagement rate to iterating on hooks that consistently outperform. If you're a social media manager trying to grow a B2B brand without sounding like every other brand account, this episode is packed with actionable perspective.Try Vista Social for FREE todayBook a Demo Follow us on InstagramFollow us on LinkedInFollow us on Youtube

Send us Fan MailYour business was supposed to create time freedom, not a never-ending to-do list that follows you into nights and weekends. I'm Camille from CamilleWalker.co, a mom of four who's built an online business for 14 years, and I'm sharing the delegation framework I use to help overwhelmed entrepreneurs step into the CEO role and finally get their time back.We start with the real reason so many founders feel stuck: when you're doing emails, admin, social media, customer service, scheduling, and content all at once, everything feels urgent and nothing feels done. I walk you through a simple time audit that shows exactly where your week goes, then we sort your work into repeat tasks, energy-draining tasks, and the “only I can do this” tasks. You'll also learn my shoulder-above versus shoulder-below filter so you can protect the work that requires your voice, face, and decision making while outsourcing the rest.Then we get tactical about hiring a virtual assistant as your first support hire, even if you only start with 3 to 5 hours a week. I share where to find VA candidates, how to write a clear job description, and how to onboard with tools like Trello, Asana, or ClickUp plus simple SOPs and a communication rhythm that builds trust. If you want a calmer schedule, a stronger team, and a business that can actually scale, hit play, subscribe, and share this with a friend, then leave a five star review so more moms can find it.Hiring a VA Cheatsheet – Get it for just $2760 Days to VA Program – My trained Virtual Assistants are ready to help!Get My $27 Hiring a VA Cheatsheet:I've made hiring your first (or next) VA super simple. Download my Hiring a VA Cheatsheet for just $27 and get a step-by-step roadmap to hiring confidently and growing your dream team. Grab it here!Follow Camille on Instagram: www.instagram.com/CamilleWalker.coFollow Call Me CEO on Instagram: www.instagram.com/callmeceopodcastMyMommyStyle.comSubscribe to Call Me CEO for more episodes!

A really sweet energy in the room tonight. Challenging but lighthearted with a fair amount of single leg standing aimed at hip stability and core engagement. 

Send us Fan MailIf your agency stops the moment you step away, that's not a client problem; it's a systems problem. And it's one that has a very clear solution.I sat down with Taylor McMaster, founder of DOT & Company, to talk about the client account management model she built over nearly seven years that quietly freed hundreds of agency owners from the meeting cycle, the email threads, and the feeling that every client relationship depends on them personally.Taylor didn't just build a service. She built a business she could fully step away from, taking six months off without touching Slack or Asana, and then successfully exited through an acquisition by E2M Solutions. The proof of concept is the life she lived while building it.If you've ever told yourself your clients only want you, this episode is going to challenge that story and give you a real path forward.Books MentionedBuy Back Your Time by Dan MartellCrucial Conversations by Joseph GrennyThe Compound Effect by Darren HardyTo learn more about how DOT & Company can remove you from the day-to-day of client management, head to dotandcompany.co. You can also connect with Taylor directly on LinkedIn; she's very active there and would love to meet you.Join Dr. William Attaway on the Catalytic Leadership podcast as he shares transformative insights to help high-performance entrepreneurs and agency owners achieve Clear-Minded Focus, Calm Control, and Confidence.Free 30-Minute Discovery Call:Ready to elevate your business? Book a free 30-minute discovery call with Dr. William Attaway and start your journey to success.Special Offer:Get your FREE copy of Catalytic Leadership: 12 Keys to Becoming an Intentional Leader Who Makes a Difference.Connect with Dr. William Attaway:WebsiteLinkedInFacebookInstagramTikTokYouTube

In this live call-in episode of Stay Paid, Luke Acree, Josh Stike, & Acree Brothers Realty tackle your most pressing questions on scaling a service business, staying top of mind without being salesy, and pushing through hard seasons in real estate and beyond. You'll walk away with real frameworks you can apply to your business today.   Key topics covered: How a travel advisor scaled to 320 clients using AI, relationships, and social content The best CRM and AI tools for service-based businesses (Claude, Monday.com, Asana, Whisper Flow) The Three E's framework: Entertainment, Education, and Endearment for long-term client retention The FORD acronym and why human connection is still the most powerful marketing tool Why struggle is actually a sign you're doing something right — and how to push through it The role of external accountability and finding your "why of impact" Luke's action item: Find a mentor who has done what you want to do and ask them if you're on the right path   Have a question for Luke and Josh? Submit it at remindermedia.com/ask or DM us on Instagram @staypaidpodcast   Subscribe so you never miss an episode: staypaidpodcast.com

What does it really mean for practice to deepen? It is not a bigger backbend or a more dramatic shape. It is the quiet transformation that comes from showing up day after day. In this talk, Kino explores how steady effort widens our capacity to feel the full spectrum of life. The highs may feel brighter, and the lows may feel deeper, yet the work is to meet both with awareness rather than attachment. Think of the mind as a garden. When we tend it with practice, wisdom takes root. When we stop tending it, weeds of habit and reactivity return. Kino shares a classical view of the path. Asana is a container where we willingly meet a small dose of discomfort and learn to stay. Breath gives us a way to regulate the field of mind and body. Concentration trains attention so we can see clearly. From this triad, wisdom ripens. She also reflects on teachings that point to the universality of suffering and the freedom that comes from understanding its causes, along with the courage to respond with compassion, joy, and equanimity. The episode closes with a reminder of the daily frame of practice: begin with devotion and end with peace for all beings. Keep coming back. Depth is not an accident. It is the natural result of consistent practice and a gentle heart. To practice with Kino and other amazing teachers, head to Omstars and explore your practice with us. 

Okay… this episode goes everywhere. It starts with a fitness hot take that might make people mad: if women over 40 only have time to lift three days a week… should we just focus on legs? That turns into a whole conversation about muscle, metabolism, longevity, and what actually matters versus what the fitness industry keeps telling us we "should" be doing. Then Bret and I get into the Dorit and PK divorce mess, the Sports Illustrated influencer debate, why influencers honestly work harder than celebrities, and the Kim Kardashian story that has the internet fighting. We also became fully obsessed with a MrBeast grocery store challenge that somehow turned into a conversation about psychology, marketing, and why YouTubers understand human behavior better than TV executives. But the part that really hit me was the AI conversation. If you've been feeling weirdly behind lately, overwhelmed by Slack, Asana, Claude, notifications, nonstop messages, and trying to keep up with how fast everything is moving… you are definitely not alone. We got very real about AI burnout, entrepreneur overload, and why all these tools that are supposed to save time somehow make life feel even more chaotic.

A great one to loosen up the lower back. A little core, lots of twists, a handful of folds, and some compassion. 

Join the email list to get a FREE private finger training clinic with Dr. Tyler Nelson (normally $10) www.thestruggleclimbingshow.com/strong   Support the Show on Patreon Get access to all Pro Clinics, bonus episodes, and more. https://www.patreon.com/thestruggleclimbingshow   - In this live podcast from the CWA, we have Dylan Barks, Jamey Sproull, and Brendan Scorpio joining to discuss the future of indoor climbing, including: Are old school climbers stronger than modern climbers? What has contributed most to the progression of hard climbing?  What will the ‘board generation' mean for outdoor climbs? The future of board technology and specificity  Will there be highball gyms? The future of ultra-adjustable walls How high can grades go? What is the ideal board angle? What will be the evolution of climbing comps? Two things gyms are sleeping on right now Shout out to the CWA for hosting a great event! If you'd like to get involved with their important work or attend a future CWA conference: https://www.cwapro.org/ - BIG THANKS TO THE AMAZING SPONSORS OF THE STRUGGLE WHO LOVE ROCK CLIMBING AS MUCH AS YOU DO: Kilter: Award winning, adjustable, light-up boards. I'm training on the Homewall Full Ride, and if you're psyched to join me then use code STRUGGLE at checkout when you build your board, and you'll score up to $1000 off plus a free gift pack let's goooo! Asana: Whether you're looking to deck inside or out, Asana has got your landing. Incredible pad systems and crash pads, made by climbers who love what they do, and do it really friggin well. Use code STRUGGLE to score 15% off crash pads and 5% off your pad system! And check out ALL the show's awesome sponsors and exclusive deals at thestruggleclimbingshow.com/deals   - Shoutout to Aiden Schlatter, Michael Martin, and Kent Olmstead for supporting at the Hero level on Patreon. So mega!  - Here are some AI generated show notes (hopefully the robots got it right) 00:00 Modular Wall Teaser 00:26 CWA Live Podcast Intro 03:48 Panel Setup and Goals 04:19 Ryan Training Breakthrough 06:07 Panelist Origin Stories 10:15 Are Climbers Stronger Now 13:26 Tools Driving Progress 15:50 Future of Training Boards 19:42 Gyms in 10 to 50 Years 23:33 Futuristic Walls and Replicas 24:01 Modular Holds Vision 24:42 Adjustable Walls Future 25:45 AI Route Setting Fears 26:18 Making Climbing Accessible 28:14 Pro Grades Next Decade 29:27 Dylan On Grade Progression 31:08 Boards Getting Steeper 32:16 Pro Climbing League Hype 33:59 Skys The Limit 35:08 Host Outro And Cyborg Aid 37:58 Treadwalls For Endurance 40:56 Adult Classes And Leagues 49:58 Intentional Climber Updates 51:22 Final Send Off - Follow along on Instagram @thestruggleclimbingshow and YouTube /@thestruggleclimbingshow - The Struggle is carbon-neutral in partnership with The Honnold Foundation, whose mission is to promote solar energy for a more equitable world. - This show is produced and hosted by Ryan Devlin, and edited by Glen Walker. The Struggle is a proud member of the Plug Tone Audio Collective, a diverse group of the best, most impactful podcasts in the outdoor industry. - The struggle makes us stronger! I hope your training and climbing are going great.  - And now here are some buzzwords to help the almighty algorithm get this show in front of people who love to climb: rock climbing, rock climber, climbing, climber, bouldering, sport climbing, gym climbing, how to rock climb, donuts are amazing. Okay, whew, that's done. But hey, if you're a human that's actually reading this, and if you love this show (and love to climb) would you think about sharing this episode with a climber friend of yours? And shout it out on your socials? I'll send you a sticker for doing it. Just shoot me a message on IG – thanks so much! 

Nick agreed to personally set up your Orgo in a 15 min call: https://startup-ideas-pod.link/orgo_ai I sit down with Nick from Orgo to break down exactly how to run a one-person AI agent business that can realistically clear a few million dollars a year. Nick walks through the offer, the verticals worth chasing, the full software stack, and the live setup of an agent that manages other agents. We focus on tactics over theory, with specific tools, pricing, and the playbook for landing customers as a solopreneur. By the end, anyone with solid AI fluency will have a clear path from offer design to fulfillment. Timestamps 00:00 – Intro 02:54 – Designing the AI Agent Business Offer 06:38– Selling an AI Employee, Not an Agent 07:26 – Industries to Target (and Two to Avoid) 14:54 – Content Is Overpowered and How to Get Customers 17:51 – The Customer-Facing Tool Stack 20:49 – Building Agents Stack 25:51 – Model Picks: GPT 5.5, GLM 5.1, Kimmy, Opus 4.7 27:08 – Nick's Stack 28:14 – Why Obsidian Is the Second Brain Layer 30:22 – Live Walkthrough: Spinning Up a Cloud Computer in Orgo 33:53 – Cloud Computers vs. Mac Minis 38:37 – Building Agents and Structuring Workspaces for Customers 43:56 – Watchdogs, Observability, and Reliability 45:28 – Closing Thoughts on the Solopreneur Era Key Points Sell unlimited agents, unlimited usage, and unlimited support to remove friction; most customers actually use one to three agents. Avoid healthcare and finance to start; focus on legacy verticals like marketing, law, insurance, manufacturing, wholesale, and real estate. OpenClaw agents go for around 5K a month; Hermes agents can go for 10K a month. The full stack: Granola, Trello, Loom, Superhuman, Asana, Codex, Hermes, Orgo, Composio, Agent Mail, and Obsidian. GPT 5.5 is the recommended default model for tool calling; GLM 5.1 and Kimmy work for lighter tasks; Opus 4.7 fits long-horizon coding. Use agents to set up other agents — pair Cloud Code or Codex with MCPs like Perplexity, Context7, and X MCP for live docs. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/ FIND NICK ON SOCIAL Youtube: https://www.youtube.com/@nickvasiles Instagram: https://www.instagram.com/nickvasilescu/ Personal Website: https://www.nickvasilescu.com/

What if the practice isn't about becoming better at yoga — but about seeing more clearly who you are? In this rich and contemplative conversation, Harmony sits down with Ricardo Louro and Inês Brilhante — founders of Ashtanga House Faro in Portugal's stunning Algarve region — to explore how studying Vedanta philosophy in the lineage of Swami Dayananda Saraswati has completely transformed their relationship with Ashtanga yoga practice. This is not a conversation about perfecting postures. It's a conversation about what postures are actually for. IN THIS EPISODE: The core Vedanta teaching — 'jiva jagadishvara' [VERIFY TRANSLITERATION]: the essence of the individual self, the world, and the creator are one How Ricardo went from asana obsession and identity-building to genuine inner freedom Why Inês finds Vedanta's teaching on impermanence invaluable as a mother, teacher, and business partner The practice of shravanam (deep listening to teachings) as a form of yoga in itself Mantra japa as a daily foundation — and how it freed Ricardo from needing to complete a full series to feel 'done' The 'polishing the mirror' metaphor: what it truly means to use yoga as a tool for self-inquiry How to begin studying Vedanta (recommended: Swami Sarvapriyananda on YouTube) The Dayananda Saraswati lineage and why studying in your own language matters Ines and Ricardo's path to founding Ashtanga House Faro — from Coimbra and Portimão, to Mysore, to the Algarve   CONNECT WITH ASHTANGA HOUSE FARO: Instagram: https://www.instagram.com/ashtangahousefaro/ Website: https://www.ashtangahousefaro.com/   HARMONY IS TEACHING:

What if the practice isn't about becoming better at yoga — but about seeing more clearly who you are? In this rich and contemplative conversation, Harmony sits down with Ricardo Louro and Inês Brilhante — founders of Ashtanga House Faro in Portugal's stunning Algarve region — to explore how studying Vedanta philosophy in the lineage of Swami Dayananda Saraswati has completely transformed their relationship with Ashtanga yoga practice. This is not a conversation about perfecting postures. It's a conversation about what postures are actually for. IN THIS EPISODE: The core Vedanta teaching — 'jiva jagadishvara' [VERIFY TRANSLITERATION]: the essence of the individual self, the world, and the creator are one How Ricardo went from asana obsession and identity-building to genuine inner freedom Why Inês finds Vedanta's teaching on impermanence invaluable as a mother, teacher, and business partner The practice of shravanam (deep listening to teachings) as a form of yoga in itself Mantra japa as a daily foundation — and how it freed Ricardo from needing to complete a full series to feel 'done' The 'polishing the mirror' metaphor: what it truly means to use yoga as a tool for self-inquiry How to begin studying Vedanta (recommended: Swami Sarvapriyananda on YouTube) The Dayananda Saraswati lineage and why studying in your own language matters Ines and Ricardo's path to founding Ashtanga House Faro — from Coimbra and Portimão, to Mysore, to the Algarve   CONNECT WITH ASHTANGA HOUSE FARO: Instagram: https://www.instagram.com/ashtangahousefaro/ Website: https://www.ashtangahousefaro.com/   HARMONY IS TEACHING:

Mejora la comunicación en equipos: principios clave, acuerdos claros y herramientas prácticas para evitar conflictos y aumentar la productividad.   Minuto a minuto del episodio:   - Cuando hablar no basta: los errores invisibles que arruinan la comunicación interna en los equipos (00:00:00)   - Acuerdos claros desde el día uno: el rol de los contratos y las expectativas en el trabajo en equipo (00:03:20)   - Funciones, roles y organigramas: cómo evitar el caos de "¿a quién le pregunto qué?" (00:12:16)   - Asana, Telegram y las reglas del juego: cómo definir canales y urgencias para no vivir apagando incendios (00:16:55)   - De la tarea urgente al vínculo sano: construir colaboración y empatía (incluso a distancia) (00:25:19)   - Resolver los problemas cuando aparecen: el valor de las conversaciones incómodas y las consecuencias claras (00:33:20)   - Cómo se moldea el "ADN" real en un equipo (y por qué no es todo color de rosa) (00:39:11)   - Súper pregunta: Los tres pilares esenciales de productividad (00:44:02)  

A moderate one with deep twists and a few balance challenges. Super bright energy this morning.