Podcasts about Measure

In today's class, I'm breaking down the two separate systems that make up the modern dating market. Most men don't even realize these systems exist, which leads to frustration and wasted effort. When I confuse one market for the other, I end up playing by the wrong rules. Understanding the difference changes the entire strategy. Show Notes: [02:01]#1 The attention market is high volume, low commitment. [07:54]#2 The commitment market is low volume and high standard.  [17:39]#3 Using the wrong strategy will keep you stuck.  [20:11] Recap Next Steps: --- Execution is not a talent.   It is a standard. If your results don't match your ability, something in your approach is out of alignment. Most people do not have a motivation problem.   They have a consistency problem. Power Presence is the system for operating with greater discipline, clarity, structure, and execution under pressure. Learn more: → http://www.PowerPresenceProtocol.com  Know what to do but not always doing it?  Measure your execution at → http://RateMyExecution.com. Get Dre's free Daily Game email at http://WorkOnMyGame.com. Every day you'll receive one practical lesson on leadership, mindset, discipline, and execution to help you perform at a higher level. No fluff. Just game

The book that talked about knowing when you would die is called The Measure by Nikki Erlich. The card game that Jeanelle used to ask the questions is LikeU. The Sew Much More Podcast is sponsored by;     Klimaka Studios   The Workroom Channel   Scarlet Thread Consulting   The WCAA   The Curtains and Soft Furnishings Resource Library   National Upholstery Association   Workroom Tech    

The Measure of a Man by Pastor Josh Robinson.Recorded August 2, 2026.

Today's episode is about why so many men get ignored in today's dating market. I'm breaking down why getting ignored isn't always rejection. Too many men are being filtered out in a system driven by visibility instead of substance. My focus is on building real value, not chasing attention. Show Notes: [04:46]#1 The market is driven by attention, not connection. [10:25]#2 Being average makes you invisible.  [14:48]#3 Low value attention gets filtered out quickly. [20:50] Recap Episodes mentioned: 3582: Men: Why You Are Getting NO Pussy [Part 1 of 7] Next Steps: --- Execution is not a talent.   It is a standard. If your results don't match your ability, something in your approach is out of alignment. Most people do not have a motivation problem.   They have a consistency problem. Power Presence is the system for operating with greater discipline, clarity, structure, and execution under pressure. Learn more: → http://www.PowerPresenceProtocol.com  Know what to do but not always doing it?  Measure your execution at → http://RateMyExecution.com. Get Dre's free Daily Game email at http://WorkOnMyGame.com. Every day you'll receive one practical lesson on leadership, mindset, discipline, and execution to help you perform at a higher level. No fluff. Just game

I get ignored when I bring no real value to the table. I know that as a man, I need to provide, produce, and solve problems because that's what creates utility. The more useful I become, the more value I create, and value naturally attracts attention. If I'm being overlooked, I need to focus less on being noticed and more on becoming genuinely useful. Show Notes: [05:37]#1 No value means no attention.  [10:47]#2 Passivity is a signal of low worth. [18:29]#3 Relevance comes from contribution. [20:40] Recap Next Steps: --- Execution is not a talent.   It is a standard. If your results don't match your ability, something in your approach is out of alignment. Most people do not have a motivation problem.   They have a consistency problem. Power Presence is the system for operating with greater discipline, clarity, structure, and execution under pressure. Learn more: → http://www.PowerPresenceProtocol.com  Know what to do but not always doing it?  Measure your execution at → http://RateMyExecution.com. Get Dre's free Daily Game email at http://WorkOnMyGame.com. Every day you'll receive one practical lesson on leadership, mindset, discipline, and execution to help you perform at a higher level. No fluff. Just game

In this episode of the Celebrate Kids Podcast, Dr. Kathy Koch and Wayne Stender examine what happens when children are viewed primarily in terms of economics and productivity. They discuss the pressure to raise high performing kids and the importance of recognizing each child as uniquely created by God. Parents are encouraged to see children not merely as expenses, but as gifts who bring belonging and joy to family life.

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.

I don't win by trying to extract value from other people or situations. I create value first, and that's where my leverage comes from. I often give more than I receive in return, but that approach is exactly why I keep winning. What I produce and contribute matters more than what I take for myself. Show Notes: [02:49]#1 High level men lead with value, not with need. [12:16]#2 Giving establishes authority and control. [16:21]#3 High level men play long term, not transactional.  [22:43] Recap Next Steps: --- Execution is not a talent.   It is a standard. If your results don't match your ability, something in your approach is out of alignment. Most people do not have a motivation problem.   They have a consistency problem. Power Presence is the system for operating with greater discipline, clarity, structure, and execution under pressure. Learn more: → http://www.PowerPresenceProtocol.com  Know what to do but not always doing it?  Measure your execution at → http://RateMyExecution.com. Get Dre's free Daily Game email at http://WorkOnMyGame.com. Every day you'll receive one practical lesson on leadership, mindset, discipline, and execution to help you perform at a higher level. No fluff. Just game

In this episode, we introduce Coach Adam and dive into his journey, from his early research studies and career pivots to the recent accomplishment of earning his PhD. We also explore the exciting research he's currently involved in and the insights it's uncovering. This conversation will leave you thinking differently about the power of the mind and how, when it comes to achieving our goals, the factors we can't always see or measure may matter the most.

For decades, startup success followed a familiar path: build a prototype, raise venture capital, hire a team, develop a product, and hope to reach market before the money runs out. Artificial intelligence is rewriting that playbook. An effective AI capital strategy now requires founders to think beyond fundraising and focus on building systems that create value long before investors write a check. In Part 2 of our conversation with Danny Carpio, we explored how AI is reshaping venture capital, startup economics, and software development. The discussion wasn't about replacing investors — it focused on a much larger shift: AI is lowering the cost of building products while raising the importance of strategic execution. As development gets cheaper, founders have to prove they can build sustainable businesses, not just impressive technology. About Danny Carpio Danny Carpio is an organizational architect, systems builder, and the author of The Unfirm: The New Unit of Scale Is You. Over the past 13+ years, he has designed operating models, governance structures, and investment architectures for venture-backed startups, decentralized organizations, and multi-entity networks. His work has helped organizations raise and manage eight-figure capital pools, incubate new businesses, and build scalable systems where no established blueprint existed. A licensed attorney, Danny also brings legal and governance expertise to selected clients, integrating operational strategy with practical business execution. Learn more about Danny and his work on his LinkedIn profile: https://www.linkedin.com/in/danny-carpio-9703a043/. AI Capital Strategy Changes the Role of Venture Capital Traditionally, venture capital solved one primary problem: it gave startups enough money to build products that would otherwise be too expensive to create. That equation is changing. Modern AI tools let small teams prototype applications, create marketing assets, automate operations, and validate ideas at a fraction of the historical cost. That means founders can test assumptions before they ever seek outside funding. Danny described this shift as moving structural barriers farther downstream. Instead of requiring significant investment just to get started, entrepreneurs can now build meaningful proof before approaching investors. That doesn't eliminate venture capital — it changes its purpose. Rather than financing basic product development, investors increasingly accelerate companies that have already shown traction, market understanding, and operational discipline. Capital is becoming an accelerator instead of the starting line. AI Capital Strategy Rewards Builders Who Reduce Risk Investors have always looked for promising ideas. Today, they're also looking for founders who understand uncertainty. Throughout the discussion, Danny emphasized that markets are changing so fast that no one has a complete blueprint. Because of that, founders need to demonstrate adaptability rather than certainty. Successful entrepreneurs are no longer expected to predict the future perfectly — they're expected to: Test assumptions quickly Learn from customer feedback Adjust direction intentionally Repeat the process continuously An effective AI capital strategy demonstrates learning velocity. If a startup can validate assumptions every few weeks instead of every six months, it becomes far easier for investors to evaluate both the product and the leadership team. AI Capital Strategy Depends on Cross-Functional Thinking One of the strongest themes from the conversation was that technical excellence alone is no longer enough. Developers remain essential. Business leaders remain essential. Product thinkers remain essential. But AI lets each discipline contribute earlier than ever before. Danny encouraged developers to partner with business-minded collaborators much earlier in the development cycle, instead of waiting until the software is nearly complete. Likewise, founders should involve technical experts before making major strategic commitments. This collaborative approach cuts expensive rework and improves product-market alignment. In practical terms, modern startups benefit from combining: Technical expertise Customer understanding Business strategy Legal guidance Product design AI accelerates each discipline individually. Systems thinking is what connects them into a competitive advantage. The strongest startups don't build faster because of AI — they make better decisions because the right people collaborate sooner. AI Capital Strategy Requires Better Feedback Loops One recurring idea throughout the interview was the importance of continuous feedback. AI dramatically shortens development cycles — but it also shortens the time it takes to make expensive mistakes. As founders produce prototypes faster, they have to evaluate them faster too. Danny described this as building feedback loops that operate at every level of the business, from daily work to long-term strategy. That philosophy applies across an organization: Review customer feedback frequently Measure product adoption consistently Revisit strategic assumptions regularly Validate technical decisions continuously Without these feedback mechanisms, AI just lets organizations scale poor decisions more efficiently. Businesses with disciplined review processes, on the other hand, gain the confidence to move quickly because they know problems will surface early. AI Capital Strategy Is Really About Execution One of the most valuable insights from the conversation challenged a common startup assumption. Many founders believe funding creates success. In reality, funding amplifies execution. Money can't: Compensate for unclear priorities. Replace customer understanding. Fix poor communication between technical and business teams. Instead, investment magnifies whatever already exists inside an organization. The same principle applies to AI. Founders who understand their customers, document their processes, and iterate intentionally get tremendous leverage from modern AI tools. Meanwhile, organizations chasing technology without operational discipline often produce more activity than meaningful progress. AI makes it easier to build products. It does not make it easier to build successful businesses. Conclusion Artificial intelligence is transforming far more than software development. It's redefining how startups are funded, how products are built, and how competitive advantages are created. An effective AI capital strategy recognizes that funding alone is no longer the differentiator it once was. Today's founders have unprecedented opportunities to validate ideas, build early traction, and demonstrate execution before approaching investors. Those who combine technical expertise with strategic thinking and continuous learning will stand out in an increasingly crowded marketplace. The future belongs to organizations that treat AI as a force multiplier for disciplined systems — not as a shortcut around them. Stay Connected: Join the Developreneur Community

Want to Start or Grow a Successful Business? Schedule a FREE 13-Point Assessment with Clay Clark Today At: www.ThrivetimeShow.com   Join Clay Clark's Thrivetime Show Business Workshop!!! Learn Branding, Marketing, SEO, Sales, Workflow Design, Accounting & More. **Request Tickets & See Testimonials At: www.ThrivetimeShow.com  **Request Tickets Via Text At (918) 851-0102   See the Thousands of Success Stories and Millionaires That Clay Clark Has Helped to Produce HERE: https://www.thrivetimeshow.com/testimonials/ Download A Millionaire's Guide to Become Sustainably Rich: A Step-by-Step Guide to Become a Successful Money-Generating and Time-Freedom Creating Business HERE: www.ThrivetimeShow.com/Millionaire   See Thousands of Case Studies Today HERE: www.thrivetimeshow.com/does-it-work/  

I can break problems down using first principles, but that alone doesn't build anything. Once I have clarity on what's essential and what's trivial, the real work is execution. Clarity helps me see the path, but results only come when I take action. If I stop at relief instead of execution, complacency replaces progress. Show Notes: [02:48]#1 Analysis does not produce outcomes. [07:16]#2 Clarity must translate into actionable steps. [11:37]#3 Overthinking becomes a trap.  [14:11] Recap Next Steps: --- Execution is not a talent.   It is a standard. If your results don't match your ability, something in your approach is out of alignment. Most people do not have a motivation problem.   They have a consistency problem. Power Presence is the system for operating with greater discipline, clarity, structure, and execution under pressure. Learn more: → http://www.PowerPresenceProtocol.com  Know what to do but not always doing it?  Measure your execution at → http://RateMyExecution.com. Get Dre's free Daily Game email at http://WorkOnMyGame.com. Every day you'll receive one practical lesson on leadership, mindset, discipline, and execution to help you perform at a higher level. No fluff. Just game

Get in touch - leave me a messageCarbon accounting can send companies straight at the wrong problem. A visible sustainability initiative may feel productive while the real emissions hotspot sits in raw materials, product design or the supply chain.My guest is John Beath, CEO and Chief Technical Director of John Beath Environmental, whose work in lifecycle assessment helps companies test assumptions before they commit money, engineering effort or supplier changes. The stakes are practical: get the system boundary wrong, and a product carbon footprint can misdirect investment rather than improve it.We examine why Scope 3 emissions so often dwarf what happens inside the factory, why bio-based or recycled materials are not automatically the lower-carbon choice, and what leaders miss when durability, reverse logistics or avoided emissions are left out. We also unpack the solar-panel case where the presumed hotspot was silicon—but the decisive intervention was elsewhere.Listen now to understand how better lifecycle assessment can expose the carbon decisions that matter most—and stop your organisation spending heavily on fixes that barely move the needle.Sign up to Climate Confident+ for deep dive analysis of the major climate and energy stories of the day.Support the showPodcast subscribersI'd like to sincerely thank this podcast's amazing subscribers:Anita KrajncCecilia SkarupaBen GrossJerry SweeneyAndreas WernerStephen CarrollRoger ArnoldAnd remember you too can Subscribe to the Podcast  - it is really easy and hugely important as it will enable me to continue to create more excellent Climate Confident episodes like this one, as well as give you access to the entire back catalog of Climate Confident episodes.

I don't rely on best practices alone because they optimize what already exists. I start with first principles and build from what is absolutely true, not just what everyone else is doing. Following the standard keeps me average, while questioning it creates leverage. I focus on what actually drives results instead of simply repeating common practices. Show Notes: [03:17]#1 Best practices lock you into existing habits and also existing limits. [08:02]#2 Rebuild from the desired outcome. [11:18]#3 Leverage usually is generated when you ignore convention. [16:04] Recap Next Steps: --- Execution is not a talent.   It is a standard. If your results don't match your ability, something in your approach is out of alignment. Most people do not have a motivation problem.   They have a consistency problem. Power Presence is the system for operating with greater discipline, clarity, structure, and execution under pressure. Learn more: → http://www.PowerPresenceProtocol.com  Know what to do but not always doing it?  Measure your execution at → http://RateMyExecution.com. Get Dre's free Daily Game email at http://WorkOnMyGame.com. Every day you'll receive one practical lesson on leadership, mindset, discipline, and execution to help you perform at a higher level. No fluff. Just game

Medical aesthetics is one of the few areas of healthcare where practice owners have real control over pricing. Because most services are cash pay, med spas are not waiting on insurance reimbursements or negotiating with carriers. Yet many practices give away that advantage by running constant promotions and training patients to shop for the lowest Botox price.  In this solo episode, I explain how deep discounts create margin erosion, weaken patient loyalty, and push the industry toward commoditization. I also share how stronger consultations, treatment plans, and value-based pricing can improve retention, patient experience, and clinic profitability without turning every appointment into a sales pitch. Discounts Train Patients to Wait for the Next Offer  Discounts can fill the schedule for a weekend, but they also change how patients see the practice. When every holiday comes with a coupon, patients learn that the listed price is temporary and the service is interchangeable. That is how Botox pricing and injectables start to feel like retail products instead of medical treatments.  Patients who choose a practice based only on price are also difficult to retain. They may come in for the promotion and leave as soon as another clinic advertises a better deal. You pay to acquire them, give up margin on the treatment, and still have no lasting customer relationship to show for it. Run the Numbers Before You Run the Promotion  A discount should never be approved simply because the calendar is slow or a competitor launched one. Before lowering the price, look at what the offer does to gross profit, cash flow, future capacity, and patient behavior. Promotional revenue can look impressive while the economics underneath it tell a very different story.  Calculate treatment margin after product cost, provider compensation, payment fees, and promotional spending  Measure how many discounted patients return and rebook at full price  Compare customer acquisition cost with patient lifetime value  Account for prepaid packages as future treatment obligations rather than immediate profit  Review inventory levels before promoting injectables or retail products  Determine whether the offer supports a broader treatment plan or only creates a one-time visit  Give the team clear language to explain value, outcomes, and next steps without relying on aggressive sales techniques  If the numbers only work when patients purchase more later, be honest about how often that actually happens. Upselling cannot carry the strategy when your intake, follow-up, and rebooking systems are not built to support it.  (00:05:43) Building lasting patient relationships (00:09:01) Setting confident pricing for services (00:10:40) Understanding value versus effort (00:15:21) Shifting from retail to patient focus (00:16:31) Improving client intake and planning (00:19:37) Identifying growth barriers for practices  Lead the Consultation With Medical Authority  A patient consultation should feel like clinical guidance, not a review of services and prices. Patients come to you because they want a result and need help understanding which treatments will get them there. When providers lead with patient education, set realistic expectations, and recommend a clear treatment plan, price becomes one part of the decision rather than the entire conversation.  This also creates a better patient experience. People are more likely to follow through, rebook, and trust future recommendations when they understand why the plan was created. Value-based pricing works when the practice can clearly connect its expertise, care, and treatment strategy to the outcome the patient wants. Patient Loyalty Creates More Predictable Growth  Practices that depend on promotions often see the same pattern: a rush of cash, a crowded schedule, and then another dip. That volatility makes financial management harder because staffing, inventory management, and marketing decisions are being made around short-term spikes instead of reliable demand.  A medicine-first approach creates cleaner practice growth. Strong treatment plans, consistent rebooking, and better customer retention increase patient lifetime value and make cash flow easier to forecast. Over time, that stability gives you room to improve margins, invest in your team, and expand without constantly discounting the work that built your reputation. A med spa with medical authority and loyal patients has far more control over its pricing, profitability, and future.  Follow Shannon & Keep What You Earn:   Shannon Weinstein is the founder of a fractional CFO firm specializing in helping 7-figure aesthetics and wellness practices scale with clarity, cash flow, and confidence.  Shannon is committed to helping med spa owners understand, fix, and maximize their business's enterprise value, offering actionable advice and resources, including a popular free video series specifically for aesthetics practice owners.  Connect with Shannon: Fractional CFO Services and Executive Financial Review: https://www.keepwhatyouearn.com/ Connect with Shannon: https://www.linkedin.com/in/shannonweinstein  Watch full episodes: https://www.youtube.com/@KeepWhatYouEarn  Listen on your favorite podcast app: https://pod.link/1580071347  Instagram: https://www.instagram.com/shannonkweinstein/  The information shared is for educational purposes only and is not individualized financial advice. Aesthetics practice owners should consult a qualified professional before implementing financial strategies discussed here. 

In this episode, Balazs steps away from the interview format to share something he's never fully unpacked on the show before: his personal "prosperity equation." It's a framework for why he makes the choices he makes — from the solid gold Rolex he bought himself for his 40th birthday, to the 1.5-acre family home, to the beachfront penthouse in Mexico — and why none of it is about status or flexing.The core idea: prosperity isn't about accumulating stuff. It's about intentionally curating an environment, because environment creates experience, experience reinforces identity, and identity builds legacy. Balazs walks through how this plays out in his own life — his wardrobe (five identical outfits, no decision fatigue), his home systems (lazy susans', matching containers, smart-home lighting), his family's summer planning, and the outdoor adventure park he's building for his kids to grow into over the next decade.He also opens up about why the podcast's new direction has taken longer than planned — a season of high standards, big goals, and a lot of moving parts, including helping his five-year-old daughter launch her first business.In this episode:Why "the prosperity equation" isn't about money first, stuff secondThe real meaning behind his 40th birthday Rolex — and why it's meant for his son one dayHow the family home, the Mexico penthouse, and travel all serve the same intentional purposeWhy he owns five of almost everything (and how simplicity creates freedom, not restriction)The home organization systems that changed how his family lives day to dayCurating an "environment" for his daughter's first business — without turning it into "serious business"How to audit your own home, habits, and choices for intentionA behind-the-scenes look at how the Kardos family plans an intentional summerA line to sit with: Don't measure your life by what you own. Measure it by the environments you intentionally create, the experiences they make possible, and the people those experiences help you become.

This post contains affiliate links, which means I may earn a small commission at no extra cost to you.Can you imagine erasing your worst memory — even if it meant erasing the people in it too? Debut author Evann Normandin joins us to talk about her stunning new dual-timeline novel, The Good Parts.In this episode, Evann shares her long road to publication, the musical that inspired her book's structure, and why she believes The Good Parts was always meant to be her debut. We also dig into her book club-ready recommendations for readers who love a powerful "what if" premise, propulsive second-chance romance, and stories that leave you thinking about what a happy ending really means.

I make better decisions when I remove the noise and focus only on what is true. Instead of relying on opinions or emotions, I come back to first principles because they create clarity. When I build from what is true at the root level, my decisions become simpler and more effective. That's how I stay focused on what actually matters. Show Notes: [02:25]#1 It strips problems down to their core variables. [07:41]#2 It eliminates noise and opinion. [13:02]#3 It produces clear, direct choices. [18:45] Recap Next Steps: --- Execution is not a talent.   It is a standard. If your results don't match your ability, something in your approach is out of alignment. Most people do not have a motivation problem.   They have a consistency problem. Power Presence is the system for operating with greater discipline, clarity, structure, and execution under pressure. Learn more: → http://www.PowerPresenceProtocol.com  Know what to do but not always doing it?  Measure your execution at → http://RateMyExecution.com. Get Dre's free Daily Game email at http://WorkOnMyGame.com. Every day you'll receive one practical lesson on leadership, mindset, discipline, and execution to help you perform at a higher level. No fluff. Just game

In this session of The Measure of Our Humanity series, Roshi Joan Halifax opens with a guided meditation grounded in stability, breath, and the bodhisattva's aspiration to meet suffering with mercy and care, before introducing Venerable Bhikkhu Bodhi. In the main session, Bhikkhu Bodhi explores what he calls the “world-sustaining Dharma” — the moral order that Buddhist teaching asks us to bring… Source

Today's guest, Matthew Ritger, is the author of Houses of Correction: Carceral Institutions and Humanist Culture in Early Modern England (U Pennsylvania Press, 2026). This book delves into the archival records of Bridewell, Europe's first house of correction, which was overseen by the humanist reformer Richard Grafton. It makes the case that the Bridewell prison and workhouse were central to the history of humanism in ways that both challenge idealized notions of European humanism and illustrate its commitments to civic and Christian reform. The book explores Bridewell's mission to discipline the poor and the “idle” through hard labor, vocational training, and basic education, while also exposing its coercive and exploitative practices, which included whippings, forced labor, and the infliction of fear. Houses of Correction also explores how Bridewell contributed to a broader humanist culture of correction, which united textual methods with practical forms of knowledge, and which extended to rhetorical and textual forms, as well as literary productions. The book's five chapters connect the history and influence of Bridewell to a range of literary texts, including Thomas More's Utopia, Shakespeare's Henry VIII, Measure for Measure, and The Tempest, and Milton's Of Educationand Samson Agonistes. Through its interrogation of the logic of carceral humanism, Houses of Correction demonstrates the crucial role that Bridewell played in cultivating a culture of correction that pervaded humanist education, textual practices, and literary representations. Jane Hwang Degenhardt is Professor English at the University of Massachusetts Amherst. She is the author of Globalizing Fortune on the Early Modern Stage (Oxford UP, 2022) and Islamic Conversion and Christian Resistance on the Early Modern Stage (Edinburgh UP, 2012). She is also a co-editor of the academic journal English Literary Renaissance. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

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S6:E62 Success becomes surprisingly heavy when you're carrying someone else's expectations. In this conversation, Dr. LL sits down with leadership coach Michelle Pollack to explore why entrepreneurs become exhausted by constantly chasing external definitions of success instead of intentionally building businesses aligned with their own values and strengths. If people don't trust themselves, they begin borrowing certainty from everyone else. And when businesses repeatedly shift direction based on outside opinions, customers (and increasingly AI systems) receive fragmented signals that make the business harder to understand. Together they discuss discernment, intentional leadership, decision-making, burnout, and building a business that reflects who you actually are. Core Problems Entrepreneur burnout despite constant effort Conflicting advice creating decision fatigue Misalignment between values and business strategy Practical Takeaways Develop a filter for evaluating business advice. Measure progress against your own definition of success. Consistency begins with internal clarity before external execution. Timestamps 00:00 Why burnout isn't always about workload 02:30 Too many experts, too many opinions 08:45 Creating a discernment filter 18:20 Defining success 34:10 Sustainable leadership Who This Episode Is For Entrepreneurs, founders, executives, coaches, and business owners seeking sustainable growth. At STEERus, we continue to observe that businesses communicate externally what leaders first establish internally. Clarity of leadership produces clarity of signal, reducing misinterpretation for both people and AI systems. Subscribe and share if thoughtful conversations like these help you build a stronger business. Follow STEERus on social media: YouTube: https://www.youtube.com/@DrLLSmallBusiness Instagram: https://instagram.com/steerus LinkedIn: https://www.linkedin.com/company/steerus Twitter: https://x.com/steerus_io   #entrepreneurship #smallbusiness #podcast #leadership

S6:E62 Success becomes surprisingly heavy when you're carrying someone else's expectations. In this conversation, Dr. LL sits down with leadership coach Michelle Pollack to explore why entrepreneurs become exhausted by constantly chasing external definitions of success instead of intentionally building businesses aligned with their own values and strengths. If people don't trust themselves, they begin borrowing certainty from everyone else. And when businesses repeatedly shift direction based on outside opinions, customers (and increasingly AI systems) receive fragmented signals that make the business harder to understand. Together they discuss discernment, intentional leadership, decision-making, burnout, and building a business that reflects who you actually are. Core Problems Entrepreneur burnout despite constant effort Conflicting advice creating decision fatigue Misalignment between values and business strategy Practical Takeaways Develop a filter for evaluating business advice. Measure progress against your own definition of success. Consistency begins with internal clarity before external execution. Timestamps 00:00 Why burnout isn't always about workload 02:30 Too many experts, too many opinions 08:45 Creating a discernment filter 18:20 Defining success 34:10 Sustainable leadership Who This Episode Is For Entrepreneurs, founders, executives, coaches, and business owners seeking sustainable growth. At STEERus, we continue to observe that businesses communicate externally what leaders first establish internally. Clarity of leadership produces clarity of signal, reducing misinterpretation for both people and AI systems. Subscribe and share if thoughtful conversations like these help you build a stronger business. Follow STEERus on social media: YouTube: https://www.youtube.com/@DrLLSmallBusiness Instagram: https://instagram.com/steerus LinkedIn: https://www.linkedin.com/company/steerus Twitter: https://x.com/steerus_io   #entrepreneurship #smallbusiness #podcast #leadership

Governor Armstrong and Tyler talk about data centers, Measure 3 and the state budget. See omnystudio.com/listener for privacy information.

Today's guest, Matthew Ritger, is the author of Houses of Correction: Carceral Institutions and Humanist Culture in Early Modern England (U Pennsylvania Press, 2026). This book delves into the archival records of Bridewell, Europe's first house of correction, which was overseen by the humanist reformer Richard Grafton. It makes the case that the Bridewell prison and workhouse were central to the history of humanism in ways that both challenge idealized notions of European humanism and illustrate its commitments to civic and Christian reform. The book explores Bridewell's mission to discipline the poor and the “idle” through hard labor, vocational training, and basic education, while also exposing its coercive and exploitative practices, which included whippings, forced labor, and the infliction of fear. Houses of Correction also explores how Bridewell contributed to a broader humanist culture of correction, which united textual methods with practical forms of knowledge, and which extended to rhetorical and textual forms, as well as literary productions. The book's five chapters connect the history and influence of Bridewell to a range of literary texts, including Thomas More's Utopia, Shakespeare's Henry VIII, Measure for Measure, and The Tempest, and Milton's Of Educationand Samson Agonistes. Through its interrogation of the logic of carceral humanism, Houses of Correction demonstrates the crucial role that Bridewell played in cultivating a culture of correction that pervaded humanist education, textual practices, and literary representations. Jane Hwang Degenhardt is Professor English at the University of Massachusetts Amherst. She is the author of Globalizing Fortune on the Early Modern Stage (Oxford UP, 2022) and Islamic Conversion and Christian Resistance on the Early Modern Stage (Edinburgh UP, 2012). She is also a co-editor of the academic journal English Literary Renaissance. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/british-studies

I don't operate from assumptions or emotions. I question my own beliefs, compare them to first principles, and accept when I'm wrong, even if it's uncomfortable. Thinking this way requires effort, independent thought, and the willingness to let go of long held conclusions. That's how I stop following what I've always believed and start building from what's actually true. Show Notes: [05:38]#1 People default to social proof. [10:48]#2 Questioning assumptions creates discomfort.  [15:14]#3 Shortcut thinking replaces deep analysis. [17:22] Recap Next Steps: --- Execution is not a talent.   It is a standard. If your results don't match your ability, something in your approach is out of alignment. Most people do not have a motivation problem.   They have a consistency problem. Power Presence is the system for operating with greater discipline, clarity, structure, and execution under pressure. Learn more: → http://www.PowerPresenceProtocol.com  Know what to do but not always doing it?  Measure your execution at → http://RateMyExecution.com. Get Dre's free Daily Game email at http://WorkOnMyGame.com. Every day you'll receive one practical lesson on leadership, mindset, discipline, and execution to help you perform at a higher level. No fluff. Just game

Dr. Jeremy Evans - July 26, 2026 Scripture References: Matthew 18:21-35 From Series: "Deeper Things"

I build everything from first principles instead of assumptions. I strip things down to what is undeniably true, then rebuild from there. Whether it's sports, business, or life, I compare every decision to the baseline instead of how I feel. That approach helps me stay logical, analytical, and focused on what actually matters. Show Notes: [08:30]#1 First principles break assumptions down to facts. [13:43]#2 Most people's thoughts are based on analogies, not truth. [16:35]#3 Clarity comes from rebuilding from the ground up. [20:46] Recap Next Steps: --- Execution is not a talent.   It is a standard. If your results don't match your ability, something in your approach is out of alignment. Most people do not have a motivation problem.   They have a consistency problem. Power Presence is the system for operating with greater discipline, clarity, structure, and execution under pressure. Learn more: → http://www.PowerPresenceProtocol.com  Know what to do but not always doing it?  Measure your execution at → http://RateMyExecution.com. Get Dre's free Daily Game email at http://WorkOnMyGame.com. Every day you'll receive one practical lesson on leadership, mindset, discipline, and execution to help you perform at a higher level. No fluff. Just game

Learn alongside us at Next Level Book Club every Saturday at 1pm EST, where learning turns into action - https://us06web.zoom.us/meeting/register/WbBft8g_RBaF9yYKjkKbdQBook Alan's Business Breakthrough Session. Your first 30-minute coaching call is FREE. Learn how to prioritize success and let your quality of life become the byproduct. - https://calendly.com/alanlazaros/30-minute-breakthrough-sessionFitness is forever, it's a lifestyle. Join the Next Level Fitness Accountability Group. Reach out to Kevin or Alan on Instagram:Kevin: https://www.instagram.com/neverquitkid/Alan: https://www.instagram.com/alazaros88/_______________________What you consume becomes the direction you follow. In this episode, Kevin and Alan share why the content you read, watch, and listen to must support the goals you say matter most. They explain the difference between passive entertainment and intentional education, why discomfort can be part of real learning, and how to make small adjustments that improve focus, performance, and long-term consistency.If you want stronger habits, better decision-making, and more progress toward your goals, this conversation will help you assess whether your daily inputs are building your future or quietly distracting you from it. Protect your attention, choose your inputs with purpose, and give your brain something better than another algorithmic snack._______________________NLU is more than a podcast. From the Next Level Dreamliner to Group Coaching, we provide tools and communities to help you grow with more clarity, consistency, and accountability.Visit our website and socials through the links below.

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Money cannot give me control over myself. More money can increase my options, but it cannot create internal discipline or the boundaries I need to operate within. If I have not built those internal traits, greater access and resources only expose my lack of structure. I know money does not solve those problems. It simply reveals the work I still need to do. Show Notes: [02:39]#1 Ability to say no.  [06:57]#2 Not needing validation. [12:30]#3 Control over who has access to you. [17:37] Recap Next Steps: --- Execution is not a talent.   It is a standard. If your results don't match your ability, something in your approach is out of alignment. Most people do not have a motivation problem.   They have a consistency problem. Power Presence is the system for operating with greater discipline, clarity, structure, and execution under pressure. Learn more: → http://www.PowerPresenceProtocol.com  Know what to do but not always doing it?  Measure your execution at → http://RateMyExecution.com. Get Dre's free Daily Game email at http://WorkOnMyGame.com. Every day you'll receive one practical lesson on leadership, mindset, discipline, and execution to help you perform at a higher level. No fluff. Just game

Money can improve my lifestyle, but it cannot create real peace or fulfillment. I know those are built through intentional work, not purchased with money. Comfort and success mean little if I'm not aligned internally. Lasting fulfillment comes from the work I do on myself, not what I own. Show Notes: [05:13]#1 Inner peace means quieting the internal noise in your mind. [08:57]#2 Fulfillment from your life. [13:38]#3 Freedom from comparison. [16:56] Recap Next Steps: --- Execution is not a talent.   It is a standard. If your results don't match your ability, something in your approach is out of alignment. Most people do not have a motivation problem.   They have a consistency problem. Power Presence is the system for operating with greater discipline, clarity, structure, and execution under pressure. Learn more: → http://www.PowerPresenceProtocol.com  Know what to do but not always doing it?  Measure your execution at → http://RateMyExecution.com. Get Dre's free Daily Game email at http://WorkOnMyGame.com. Every day you'll receive one practical lesson on leadership, mindset, discipline, and execution to help you perform at a higher level. No fluff. Just game

You're listening to Voices of Your Village, and today's episode is part of our summer series, Honoring the Individual. Over the next few months, we'll be revisiting some of our favorite conversations—episodes that remind us of a core truth: there is no one-size-fits-all approach to supporting children.  Today we're hanging out with Pepper Stetler,  the author of A Measure of Intelligence: One Mother's Reckoning with the IQ Test. We talked about school systems and how they are not set up to support all of our children. I want to hear your takeaways and your feedback and whether or not your kid might benefit from some of the things that we toss up in this episode. And if you're a teacher, come share your challenges and grievances and what you would love to see change as well. And stay tuned later this summer—we have an exciting announcement that will make it easier than ever to move beyond generic advice and access support tailored to the individual child, student, or family you're supporting. Alright folks, let's dive in.Connect with Pepper: X/Twitter: https://x.com/pepperstetler Website: https://www.pepperstetler.com/about Order the book: A Measure of Intelligence: One Mother's Reckoning with the IQ Test Connect with us: Instagram and TikTok: @seed.and.sew  Seed and Sew's NEW Regulation Questionnaire: Take the Quiz Order Big Kids, Bigger Feelings now!  Website: seedandsew.org Credits: Host: Alyssa Blask Campbell Co-host: Rachel Lounder Production/Editing: Kristin Mork-McVeigh Graphics: Kayla Kurland-Davis/ Beki Rohrig Music by: Ruby Adams and  Bensound Learn more about your ad choices. Visit podcastchoices.com/adchoices

Money can increase my visibility, but it cannot buy real credibility or trust. I earn trust through my behavior, consistency, and the value I bring over time. People may notice what I have, but they stay because they believe in who I am. Real credibility is built, not purchased. Show Notes: [06:07 ]#1 Personal brand strength. [13:00]#2 Credibility in your space. [18:16]#3 Trust from others. [19:43] Recap Next Steps: --- Execution is not a talent.   It is a standard. If your results don't match your ability, something in your approach is out of alignment. Most people do not have a motivation problem.   They have a consistency problem. Power Presence is the system for operating with greater discipline, clarity, structure, and execution under pressure. Learn more: → http://www.PowerPresenceProtocol.com  Know what to do but not always doing it?  Measure your execution at → http://RateMyExecution.com. Get Dre's free Daily Game email at http://WorkOnMyGame.com. Every day you'll receive one practical lesson on leadership, mindset, discipline, and execution to help you perform at a higher level. No fluff. Just game

We are back in the studio! With a brand new episode featuring Evelyn and Emily and it is a horny one! They come on share some sugar daddy stories and much more. Plus Evelyn tells us a kinky story where even have to mute the mic! Follow us on social media @AaronScenesAfterParty

Agencies collect enormous amounts of information about performance. But those measures don't always answer a fundamental management question: does the organization have the capability to accomplish its mission? My next guest believes federal leaders need a better way to assess readiness. Joining me is John Mullins, founder of Mullins Consulting.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

David Daoud. Iraq has issued a circular to banks to comply with U.S. sanctions against Hezbollah financiers and pro-Syrian politicians. However, David Daoud argues this measure is largely symbolic, as it does not touch powerful local militias like Kata'ib Hezbollah. Furthermore, Iraqi religious shrines continue to provide financial support to Hezbollahthrough various media and charitable branches, allowing Iraq to remain a significant financial channel. (15)1994

Emilie Schario grew up in New Jersey, outside of Newark, and attended college in the state. Currently, she lives in Columbus, Georgia, outside of Atlanta. She mentions she got into technology so she could easily follow her husband's career geographically, and has much success in the industry. Outside of tech, she is married with 3 boys (all 5 and under)... so there is a lot of wrestling in her household. She admits she is often quoted staying she does three things in her life - work, parenting, and if she is lucky, attends CrossFit 3 times a week. In fact, she finds a great sense of community in that world, and brings her kids with her to cheer her on.A year and a half ago, Emilie's current venture was started, to build the open source orchestrator (or "harness") for AI coding agents. Through some shuffle in the early team, Emilie joined and started in building the fastest AI coding app on the market.This is the creation story of Kilo.SponsorsUnblockedTECH DomainsMezmoBraingrid.aiLinkshttps://kilo.ai/https://www.linkedin.com/in/emilieschario/Our Sponsors:* Check out Cash App and use my code CASHAPP10 for a great deal: https://cash.app* Check out Plaud AI and use my code CODESTORY for a great deal: https://plaud.aiAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Hitting the goal doesn't always mean the project was a success.A project can finish on time, hit every target, and look like a clear win on the dashboard while quietly burning out the team, damaging trust, or leaving the same problems waiting to happen again.In this episode, I explain why outcomes alone don't tell the full story of project success and introduce three measures every manager should consider: the outcome, how the work got done, and what the team learned. You'll discover how to distinguish between a win you can repeat and one that may be costing you future success.You'll also learn why the way your team achieves a goal matters, how learning can change the value of both wins and failures, and how to evaluate whether your team is better positioned to succeed next time.By the end of this episode, you'll have a practical framework for measuring success beyond the dashboard and building a team that can deliver strong results again and again.Conversation Topics(00:00) Why hitting the goal doesn't always mean the project was successful(01:00) The problem with measuring success by outcomes alone(02:00) Why a win today can quietly cost you the next one(03:00) The three components of project success(04:00) Measure #1: Did you achieve the outcome you set?(04:00) Measure #2: How effectively did the team get the work done?(05:00) Measure #3: What did the team learn that can improve future performance?(06:00) [Extended Only] How to explain an unsustainable win to a boss who only cares about results (07:00) [Extended Only] How to own a missed goal without losing the value of what you learned

Being a guest on other people's podcasts is one of the most effective ways to build your authority, reach new audiences, and grow your business. But there's one mistake I see people make all the time. They're so focused on getting booked on more podcasts that they forget to ask whether they're pitching the right podcasts. One interview on a show your ideal client actually listens to can create far more opportunities than twenty appearances on podcasts that never reach the people you want to serve. In this episode, I share a simple framework for deciding which podcasts are worth pitching, how to research a show before reaching out, and why building a relationship with the host before you pitch can dramatically improve your chances of getting invited. We'll cover: • How to identify the best podcasts for your business • The four questions to ask before pitching any show • Why audience fit matters more than audience size • How to write a guest pitch that podcast hosts actually want to read • The biggest mistake people make when introducing themselves • Why leading with value—not your credentials—gets better results   If podcast guesting is part of your marketing strategy, don't measure success by the number of interviews you book. Measure it by whether you're getting in front of the right audience...who then become your audience. Here's how NOT to do it: https://podcastperformancecoach.com/125-how-to-avoid-sending-the-worst-podcast-pitch-ever/ Book your free private podcast coaching call at PodcastPerformanceCoach.com, and let's build a podcast (and a promotion strategy) that grows your authority, generates leads, and delivers real ROI.

We get brutally honest about why traffic is a vanity metric and how SEO only earns budget when it ties to real business outcomes. We lay out the data and reporting foundation you need to walk into the C-suite with confidence, even when attribution is messy and timelines are long. • separating vanity metrics from revenue-driving KPIs • building the business case for SEO with CFO-ready numbers • fixing data quality in Google Analytics and conversion tracking • enforcing CRM hygiene so leads can become pipeline and revenue • choosing KPIs for lead generation vs ecommerce models • setting expectations with leading vs lagging indicators for SEO • funding the messy middle and mapping the full buying funnel • aligning sales and marketing to improve lead quality and content Guest Contact Information: Website: unframeddigital.comLinkedIn: linkedin.com/magsswiftMore from EWR and Matthew:Leave us a review wherever you listen: Spotify, Apple Podcasts, or Amazon PodcastFree SEO Consultation: www.ewrdigital.com/discovery-callWith over 5 million downloads, The Best SEO Podcast has been the go-to show for digital marketers, business owners, and entrepreneurs wanting real-world strategies to grow online. Now, host Matthew Bertram — creator of the LLM Visibility Stack™, and Lead Strategist at EWR Digital — takes the conversation beyond traditional SEO into the AI era of discoverability. Each week, Matthew dives into the tactics, frameworks, and insights that matter most in a world where search engines, large language models, and answer engines are reshaping how people find, trust, and choose businesses. From SEO and AI-driven marketing to executive-level growth strategy, you'll hear expert interviews, deep-dive discussions, and actionable strategies to help you stay ahead of the curve. Find more episodes here: youtube.com/@BestSEOPodcastbestseopodcast.combestseopodcast.buzzsprout.comFollow us on:Facebook: @bestseopodcastInstagram: @thebestseopodcastTiktok: @bestseopodcastLinkedIn: @bestseopodcastConnect With Matthew Bertram: Website: www.matthewbertram.comInstagram: @matt_bertram_liveLinkedIn: @mattbertramlivePowered by: ewrdigital.comSupport the show

Today, I want to share 25, let's call them commandments, for financial wealth and success.   And to get the message across best to you, I decided to do something a little different. Normally, I have a guest, but this time it will be just you and me as I share these ideas with you.   These aren't property rules, and most of them aren't even investment rules in the traditional sense.   They're the broader truths about money and behaviour I've collected over the years, the ones that apply whether you're buying property, building a business, or simply trying to retire with options rather than regrets.   In this episode, I discuss that real wealth comes from mindset, patience, and discipline more than from chasing shortcuts or trying to predict the market.   I also emphasize that progress should be measured against your own starting point, not against other people's highlight reels.   I also remind you that ultimately, the person you become matters just as much as the assets you build.   Takeaways    • Wealth is built through patience, consistency, and discipline • Market volatility is the price of long-term growth • Measure your progress against your own starting point • Focus on process, not market predictions • Quiet accumulation creates real wealth • Character matters as much as money • Emotional steadiness helps during uncertainty • Luck favours those who prepare well • Reinvest consistently over time and allow compounding to work its magic. • Avoid chasing shortcuts and quick wins   Links and Resources:   Answer this week's trivia question here - https://www.propertytrivia.com.au/ ·        Win a hard copy of How To Grow A Multi-Million Dollar Property Portfolio In Your Spare Time? ·        Everyone wins a copy of a fully updated property report – What's ahead for property for 2026 and beyond.   Michael Yardney – Subscribe to my Property Update newsletter here     Get the team at Metropole to help build your personal Strategic Property plan. Click here and have a chat with us     Get a bundle of eBooks and Reports at: www.PodcastBonus.com.au    Also, please subscribe to my other podcast Demographics Decoded with Simon Kuestenmacher – just look for Demographics Decoded wherever you are listening to this podcast and subscribe so each week we can unveil the trends shaping your future.   About The Michael Yardney Podcast | Property Investment And Wealth Creation Australia   Success in property investment isn't just about numbers - it's about mindset, behaviour and decision making.   In The Michael Yardney Podcast, we explore the psychology of wealth, the habits of successful investors, and how to think strategically during uncertain market conditions.   Regular topics include: • Psychology of money and wealth• Investor behaviour and market cycles• Rich habits vs poor habits• High-performance mindset• Risk management thinking• Decision-making under pressure• Long-term investing discipline• Overcoming fear in property markets• Building wealth through strategy, not speculation   If you want to avoid common investor mistakes and develop the mindset required to build lasting wealth in Australia's property market, this podcast is for you.   More resources at:https://propertyupdate.com.auhttps://metropole.com.au

According to research by IBM, just 16% of AI initiatives have achieved scale. Why? Because few organizations have the structure and data to support long-term AI investments. So, how do you build an AI-ready system? Riley Rogers: Welcome to the Win/Win Podcast. I’m your host, Riley Rogers. Join us as we dive into changing trends in the workplace and how to navigate them successfully. Here to discuss this topic is Rich Weymer, Senior Director of Go-To-Market Strategy and Transformation at Yubico. Thank you so much for joining us today, Rich. I’m super excited to have you here to dig into all the expertise that you’re gonna bring to the table. As we’re kicking off, I’d love if you could just tell us a little bit about yourself, your background, and your role. Rich Weymer: Yeah. First off, thanks for having me. A repeat customer with Highspot, so excited to get invited to this, as we’ve worked with your organization for some time now. Like you said, Rich Weymer. I’ve spent time pretty much so in tech for most of my professional career in one form or fashion, from my earlier career days at Microsoft working in consumer goods, where I’ve worked on video games, your Office products, all your devices, through where I’m at today in the security world. RR: Well, amazing, and bravo, tech veteran. Not easy. RW: Yeah. It looks a lot different today than it did when I started, that’s for sure. RR: And I think that is exactly what we’re gonna talk about today. But before we go into where the world of tech has been to where we are today, I’d love if you could give us a little bit of foundational context for folks who might not be familiar with Yubico. Could you give us a little walkthrough of who your company is, what you do, who you serve? RW: Yeah. So Yubico does phishing resistance hardware MFA, which basically means we ship you a little bitty key that helps control access to all your online portals and logins and everything along those lines. RR: As somebody who is password challenged, I certainly see the value of that one. I wish we had a wonderful little bitty key that got me set up for success every single day. One thing that I think you set up early on is that Yubico, and pretty much every other organization in the industry, is moving fast, and it has to. Security in this day and age is harder than ever. And when it comes to working in a fast-moving organization, teams like yours also have to move fast. I’d guess that that pace of change is part of the reason why you have a really forward-looking approach to enablement and to go-to-market strategy. So why do you think it’s important to think critically about how technology can transform traditional workflows, processes that you’re accustomed to, things like that? RW: Again, to your point, things are moving so fast right now. That’s the biggest underlying factor that organizations really need to think through. Decisions that you’re making today are almost obsolete by the time you’re done signing the paperwork on whatever decisions or procurement you’re going through. So you need to be really thoughtful about the foundations that you’re building, the integrations that you’re gonna lean on, and the partners that you’re gonna select that are gonna be around for the long run. Measure twice, cut once, and also understand that there’s different types of decisions that you’re gonna be making. I use the analogy of a hat, a haircut, or a tattoo. What type of decision are you making when you’re thinking about your technologies? If it’s a hat, you can switch it in and out real quick. If it’s a haircut, maybe it takes a little bit of time to unwind. And those tattoos are the ones that you just can’t change. They’re gonna be– They’re– You’re gonna live with them forever. So you really gotta just understand the lens that you’re making the decisions through, as well as having an industry understanding of where things are heading. And as you look at your partners, thinking, “Hey, at the pace at which innovation is happening, is this someone that’s gonna be relevant six months, 12 months, 18 months from now?” RR: I have not heard that decision-making framework before, hat, haircut, tattoo. RW: It’s an easy one, yeah. A lot of organizations think everything’s a tattoo. So you make every decision like it’s the last decision you’re ever gonna make in that space. And it’s right for a lot of things, but framing it goes a long way, especially when you’re trying to move fast. Being able to categorize those decisions pretty quickly goes a long way. RR: Yeah. And it helps you avoid the problem of when everything’s important, nothing is. You mentioned systems, data, processes, having the right tools in place to move quickly. So with that perspective in mind, how are you thinking about layering on AI? RW: I think about it every day and night, in every meeting I’m sitting in, and every conversation I’m having, and every free minute when I’m thinking about work. The big thing is automation and AI for the sake of AI, and automation for the sake of automation, it really doesn’t mean anything unless you have a strong foundation and an understanding of your data. So to me, it all just boils down to a strong foundational data set and understanding what to measure and what moves your business, and then building around that first and foremost before you do anything else. RR: What do you need in that foundation before you can start building AI on top of it in order for those initiatives to be successful? RW: If I were to think through how I structure this, there’s no shortage of ways to measure the business, but landing on one that’s influential and helps you adjust the dials as you go is really important. So the way I operate is through the lens of sales velocity, which is a time-tested mathematical problem to give you a temperature check on how the business is doing. It’ll let you know whether you’re going up, down, left, right, staying center, or whatever it is. But where organizations stop is they stop at the top four measurements, which, if you think of sales velocity, is open opportunities, average deal size, win rate, and then you divide that by your deal cycle length. That gives you a daily throughput, which tells you part of the story because you can help understand your forecasting. When you take your close one business, you can use that to forecast days left in the quarter, what those numbers would look like. But where it gets really powerful, and what I think a lot of organizations haven’t spent the time to do, is go deeper on the leveling of those metrics. So if you think through the process lines, L1 is your executive metric. That’s the all-up number. Your L2s are your leadership numbers, where your managers need to understand those. But your L3, four, five, six, and you can keep going down the rabbit hole, really start impacting how your frontline folks operate. One of the things we’ll talk about today is AI Role Play, and when we think of it, we look at diagnosing issues in our win rates, and we think, “How is our competitive wins doing? What are we, we get very, very granular in how we look at those.” And then we can actually start layering on recommendations and automation. So we do that across probably close to 100 different metrics through the various layers that are our leading indicators. And this really helps us when we think through automation of where we go from here, ’cause once we understand those, we know how are we doing against certain competitors? Are we getting the right amount of MQLs? Are we talking about the right things? Do we get caught up in legal, security? We can understand all those different variables of the business, and then we can take a proactive approach to coaching where we need to coach, and then adjusting the business where we need to adjust the business. And you can’t really do that unless you have that entire foundation laid out and actually understand what all those levers are. So to me, taking the time to do that is really just beyond critical. RR: Yeah. Yeah. You know what you need to do, and you can start driving really aggressively against it, which I– it sounds like you alluded to an example there with AI Role Play, you’re doing the work to do. In that, you’re beginning to layer some of these new technologies, new tools on top of that foundation. What were some of those first use cases that you prioritized, and why did you start where you did? RW: I think the first win you always wanna go for is really a practical application of any new technology and how that can move the needle for the business. So when I think of practical applications, I think of AI Role Play as being a very early one. As an enablement team and a training team, how many times have people walked through certification programs, the one-on-ones with managers, all the Role Plays, all the back and forth and the headaches and the objectivity that goes into those exercises. That’s just a quick win that you can pick up and take care of almost all of that. The time saving alone and the cost of having a manager do these one-on-ones time and time again, it just drains an organization when every organization right now is trying to be lean, mean, focused on sales efficiency. So anything we can do to give back and level the team up, I think is just a no-brainer. So AI Role Play is a huge one for us. We looked at a lot of different places. We tried a lot of different things, and we landed on the Highspot implementation of that because it’s important to be able to do that stuff, but also it has to be within the context of everything you’re doing and all the content and everything that you do have. It can’t be this standalone siloed thing that happens in the background. We need to bring it to the forefront. Yeah, those are the really practical first-step wins that I’ve been excited about. RR: Yeah, and that’s such a good example of mapping it back to those foundational levers. The path there is very clear, I think. RW: Yeah, absolutely. Think of a competitive– your competitive intelligence programs. You do all this work understanding your competitors. Now you can understand when a seller of yours struggles with insert competitor X, Y, or Z. You can identify those trainings, you can recommend the trainings, you can verify they’ve been through them, and then if that’s not working, then you can escalate to coaching and go a little bit deeper from there. So the foundation of the data will help you identify that stuff, and then you start applying the technologies. That’s how you go fix the gap. And then you can monitor it and just keep it going, almost near real time, which is incredible. A lot of the time, organizations are really spending most of their time hearing yesterday’s weather. And when I mean that, I think of, you do a QBR, you go through a quarter, you spend 30 days doing the QBR. At the end of the QBR, you find the problems, you take 30 more days to figure out what the underlying problems are, then you spend 120 days fixing those problems. Then you’re six months removed from what the problem was, and now you got a whole new set of problems that you’re not even keeping up with the business. So being able to identify these things, move quickly, and make recommendations really fast is incredible in the amount of time it buys back an organization to execute, and that you’re focused on the right things at the right time. RR: I’d be curious to hear a little bit about, you mentioned a handful of teams there in some of the early AI Role Play rollout and piloting. How did you start thinking about who you wanted to test this with, the kinds of pilots you wanted to build, and how has that going so far? RW: We tested globally as a global organization. We tried US-based, EMEA, APJ folks. We took a look at various groups from various geographical regions because adoption’s an uptick, and accountability is different at the global scale. The use cases really were tied around what’s our biggest blind spots, and what do we not know, and how do we validate that? As a group that has a BDR team, an SDR team as an example, if you have sellers that don’t wanna work with their BDRs ’cause they’re not confident that their BDRs are competent, then here’s a great way to say, “Hey, actually, we’ve already been them– we’ve taken them through the ringer. We’ve seen that they’re able to demonstrate this stuff, and honestly, we’re building scenarios that are harder for them to get through than you actually deal with, with customers.” So we can stress test the teams, and then sellers don’t respond to customers with ABC answers. They have to be able to be versed in these conversations, so being able to do that was a huge unlock for us, because folks aren’t practicing with their paycheck. Well, the worst place you wanna go figure this stuff out is in front of a customer, so give someone a very safe space to go practice and cut their teeth, and they will just accelerate if they get behind it and really try this stuff out. So yeah, find the high ROI cases, double down on those, share that experience, be vocal about it, and make sure others feel it. Then yeah, that’s how you just get that adoption and the needle moving. RR: Something that I feel like is not as spoken about when it comes to training, Role Plays, et cetera, all of that stuff, is now you have this trust between your counterparts, and you have more of this connective tissue purely because of that, which is really interesting, and I’ve not, I don’t think, heard anyone speak to that element of it before. So curious if you could give me a little bit more of a sense of what that has done for you guys. RW: Yeah. And, as I mentioned, I’ve– I’m five-ish years into the security business, and this is just a business built on trust. So we have to gain the trust of our customers. It’s important in any sales cycle. It’s a hundredfold more important when you’re talking about the security of your organization. So I think intrinsically our– the businesses are highly trust-driven with the folks that they work with, even internally. So, if you think through customer journeys, from trusting they’re landing the right messaging and marketing, to the right message that BDRs are delivering, our sellers deliver it, talking about the right things and delivering the proposals towards the outcomes that the customers are expecting, to how your account team then goes and manages that account or gets ready for renewals. There has to be that thread of trust across those because each one sets one up for failure if not done correctly. And having a verified way of saying, “Hey, I can trust that my coworkers that are working upstream for me are doing the right things and they are competent,” that’s only gonna make you deliver and do better in your particular role, and it’s gonna want you to step your game up, too. RR: Sometimes I feel like folks present a strategy the way it’s working out for them, and I have a thoughtful response to it. But in this case, the only thing I have to say is that’s so cool. It’s really, really cool to see all the different ways that this can show up for an organization beyond what we expect. RW: If you were to turn the clock back two years, AI-based Role Play, that was beyond the bleeding edge. There wasn’t even an edge. It was so far out of the realm. But these things come up quickly, and you wanna be able to jump on ’em and move on ’em. Again, it’s just moving so fast that you have to have that trust and have a team around you that’s willing to build on the successes you’ve had in a past life. So it does take time to get to that point. It doesn’t happen overnight. It gets quicker, that’s the thing, ’cause now, if you think through how you go through a launch in a past life, go back two years: you spin up the marketing machine, they come up with the slides, you host a call, you do a webinar, you send the field out, say, “Go figure it out.” If you’re lucky, you did Role Plays with the managers, you had a competency test, you sat down, maybe you brought some external resources in to actually manage this. And now with technology, you can scope it, build it, deploy it, have everybody through it in a few weeks, and you can actually verify that people can do these things, where in a past life, just none of that existed. You can build trust faster and move quicker today because the technologies enable that stuff. It’s not the, I’ve got a six-month sales cycle, so I don’t know what my sales look like, or I don’t know how well things are going until six months down the line when you’re actually seeing the end-of-line conversions. You just move so much faster right now. It’s, yeah, really exciting. RR: Okay. So we’ve touched on, I think, a lot of some of the granular detail, and I think gotten a picture of what work at Yubico looks like right now. And I think it has been what sounds like a busy few months to get to this point. So since making some of these changes, being really thoughtful about building out your foundation, starting to layer in those early AI use cases, what impact have you seen on things like seller efficiency, time savings, productivity, anything like that? RW: We are cutting so much time out of the administrative burden of our team. It’s hard to put an exact number on it, but we’re looking at reducing sales cycles by upwards of 25% this year. Where if you think through a longer sales cycle on the security side, where things can take six, seven, eight months, if you can carve out a month back on those processes, it unlocks a lot of organizational capacity. So we are heavy on how we are doing that this year, and sales efficiency is one of our big topics for this year. And ideally, in a perfect world, you have the right team that, as you give efficiency time back and give them time to focus on selling, they go out and sell more. You can cut their day down to two hours a day, but what are they gonna do with the rest of the hours of those days to actually go get after it? So we’re cutting time out of their workload, making things easier on them, and then how are we surfacing the latest and greatest new opportunities and more guidance to them, to be a little bit more honed on where to go and focus on the stuff that technology’s not replacing right now, which is the human interaction and the conversations you have to have with your buyers. So that’s our goal today, it’s just every single day, how do we chip away, chip away, chip away? And I think we’re doing a pretty, pretty solid job of that right now. And things that take hours, three, four, five hours to do, you can do in a button click these days. So on a 40-hour week, if that’s all you work, that would be nice. But if you’re doing 40 hours a week and you’re cutting four or five hours out, 10%, 12% of your week is a huge give back on a timing perspective. So we are, yeah, really excited about all that work right now. RR: You mentioned that 25% reduction, which you said, “That’s a solid, that’s solid progress.” I would call that more than solid progress, but that’s just me. Would you say that part of that or some of that could be attributed to that improved ability to practice those conversations and show up better when you’re actually having them live? RW: Absolutely. There’s the process side of house, which is where we can carve a lot of time out, but the competency within that process goes a long way. Just the basics. Can you get somebody to set that follow-up call? Don’t let the customer off the call until you have a next step booked. Even just little things like that, that you get off the call and then it takes you a couple days to schedule that next meeting. You just get rid of coaching that stuff out. Those basics that every seller always knows about, that adds up when you’re thinking enterprise-wide. That goes a long way. So again, foundational data, even just looking at the basics and doing really good at the basics and training people to that, you’re gonna find time back. RR: To my earlier point about a lot of people are excited but don’t quite know what to do, that’s a very specific example of what can you coach to meaningfully? How can you use Role Play to help you train away those bad behaviors that decrease your velocity, decrease your momentum, and in turn cause that chain reaction down the line? So with all this work in mind, what do you think the future of go-to-market, of enablement, looks like at Yubico? What’s next? RW: Ooh, that’s the multi-multi-multi-million dollar question. Someone who’s been around tech for a while, you see patterns in where things are going. I challenge everybody that I talk to about some form of initiative, or obviously a lot of AI discussions today. But if you challenge things from a first-principles perspective, why are you even doing these things? And I think that is a question that organizations need to ask themselves, is why are you doing this, and why are you doing it this way? Does that even make sense in tomorrow’s world of where things are heading? It’s how are you driving decisions? How are you recommending actions? And how are you actually activating on the data and the information that you have? I think that’s where go-to-market goes. It becomes less understanding and reading yesterday’s weather, as I say, and it takes that data and makes it actionable and pushes us forward versus just catches us up, which is also very, very exciting because the things that we thought were out of reach six months ago are in reach now. RR: For people listening who might be, with that last sentence, feeling a little bit inspired but also uncertain, like, oh gosh, how do I keep pace? What would you say to leaders in tech and in other spaces who feel pressured to do AI, perform the thing, layer it into their programs where they can, but aren’t sure where to start? What would you– What advice would you give them, having done it yourself? RW: Start. That’s the key. It sounds silly, but everybody kinda has this not really sure where to start, and that’s okay. I think you just gotta start. First and foremost, you have to just dabble a little bit, get your feet wet, and it all starts to come clear. If you’re thinking through the models that are out there, ask it questions, use it to teach you what you don’t know and where to go. But really it’s your thought partner in how you use these things. You have questions? Ask it questions. You get stuck? Ask it why you’re stuck. Ask it wh– it can do a lot of the things that I think would really surprise people, that will help them head down the right direction. And again, we’re– I say it jokingly, we’re not protein folding. It’s not that crazy, the stuff that we’re doing. You’ll see that there’s a lot of people that have been successful, and you can go a long way just asking the right questions. Don’t be afraid. Do things in a smart way. Make sure your identities are locked down. Shout out, Yubico. Make sure that you’re working with your security teams and doing the right things, and you’ve got access controls in place, of course. But just start. That’s the biggest thing I could tell people, is just start. You’d be amazed how far you can go. RR: Very inspirational to close with. And also, I think a bitter truth sometimes. It’s very much the best way to learn is by doing. RW: Yeah, 100%. I always get the, “Rich, what should I do?” I’m like, “Well, just ask the question.” Just literally just start. Just start. Just get in there and do it, and get going. And really the other thing I would say, on the starting point, is try and build a system where you give people the guardrails to be successful, get the benefits of AI, but also don’t get in the way and stifle innovation. You wanna empower people to go figure things out. Give them the chance to start as well. If you’re a leader in one of these organizations, empower the folks on the front lines to do these things, because this technology is just peeling out those middle layers. The closer you sit to the customers, the more impactful work you’re gonna be able to do. So get your frontline people working on this stuff. RR: I have to say, I think I said it a couple times, but some really interesting, very actionable things, I think, you shared today. So I really appreciate you taking the time to give us some of those recommendations on how to get started with AI, what’s working for you with AI Role Play, all of the goodness on how to not be scared to get started. RW: Thank you again for having me. This has been a lot of fun. RR: Yeah. To our audience, thank you for listening to this episode of the Win/Win Podcast. Be sure to tune in next time for more insights on how you can maximize go-to-market success with Highspot.

In this episode, Drake Roth (@dek_grappling) returns to talk about open vs closed skills, how individuals can be intentional with their training, measure progress/learning, operationalize improvement, and adjust task goals over longer periods of time. Drake also writes periodically on substack, Grappling with Skill. The blog post we referenced can be found here.Hope you enjoy! Download Sherpa, the free AI-powered journaling app for athletes. Join the convo with Josh on Discord here.Use the code "BJJHELP" for 50% off your first month on Jake's Outlier Database to study match footage, get links to resources, and more.Use code “BJJHELP” at submeta.io to try your first month for only $8!

If the Beavs go 4-8 in JaMarcus Shephard's first year, will fans consider it the improvement they were hoping for? James Franklin hasn't changed despite being at Virginia Tech now...and Vegas has a win total number for the Blazers, are we going over or under?

Tonight's sleep story is Macbeth by William Shakespeare, retold by Edith Nesbit. You know the story of Macbeth and Lady Macbeth and their thirst for power at any cost originally written by William Shakespeare. This adaptation by Edith Nesbit condenses and simplifies the story but the end remains the same. If you're still awake, the second story is Measure for Measure. A story you might not be as familiar with. Support the podcast and enjoy ad-free and bonus episodes. Try FREE for 7 days on Apple Podcasts. For other podcast platforms go to https://justsleeppodcast.com/supportOr, you can support with a one time donation at buymeacoffee.com/justsleeppodOrder your copy of the Just Sleep book! https://www.justsleeppodcast.com/book/If you like this episode, please remember to follow on Apple Podcasts, Spotify or wherever you listen to your favourite podcasts. Also, share with any family or friends that might have trouble drifting off.Goodnight! Hosted on Acast. See acast.com/privacy for more information.

The scale tells you one thing. Your relationship to gravity. That's it. It cannot tell you how much muscle you've built. It cannot tell you the strength of your bones. It cannot tell you where your body fat is stored or whether your health is improving. In this episode, I explain why body composition is often a far more meaningful metric than body weight alone and why avoiding data altogether isn't necessarily a healthier approach. The goal is not to become obsessed with numbers. The goal is to become informed by them. Because the right data can help you make better decisions and build a stronger future. Ready to go deeper? Grab my book, The Consistency Code: A Midlife Woman's Guide to Deep Health and Happiness, at https://theconsistencycode.com  #GraceAndGrit #BodyComposition #MidlifeWomen #WomensHealth #DitchTheScale #MuscleMass #BoneDensity #DEXA #HealthData #DeepHealth

Following on from last week's episode, we hear of more adventures undertaken by scientists in the 1760's in the effort to track the transit of Venus! Intrepid astronomers this week include Frenchmen Alexandre-Gui Pingré and Jean-Baptiste Chappe d'Auteroche and Englishmen Jeremiah Dixon and Charles Mason (who we mistakenly call Wilson through a lot of the episode sorry)!This is a comedy/history podcast, the report begins at approximately 08:09 (though as always, we go off on tangents throughout the report).For all our important links: https://linktr.ee/dogoonpod Check out our other podcasts:Book Cheat: https://play.acast.com/s/book-cheatPrime Mates: https://play.acast.com/s/prime-mates/Listen Now: https://play.acast.com/s/listen-now/Who Knew It with Matt Stewart: https://play.acast.com/s/who-knew-it-with-matt-stewart/Jess Writes A Rom-Com: https://shows.acast.com/jess-writes-a-rom-comOur awesome theme song by Evan Munro-Smith and logo by Peader ThomasDo Go On acknowledges the traditional owners of the land we record on, the Wurundjeri people, in the Kulin nation. We pay our respects to elders, past and present. REFERENCES AND FURTHER READING:http://www.astronomy.ohio-state.edu/~pogge/Ast161/Unit4/venussun.htmlChasing Venus: The Race to Measure the Heavens by Andrea Wulfhttps://theconversation.com/transit-of-venus-a-tale-of-two-expeditions-7246https://www.iflscience.com/in-1761-and-1769-intrepid-voyagers-had-a-once-in-a-century-chance-to-measure-the-solar-system-83712A Short History of Nearly Everything by Bill Brysonhttps://airandspace.si.edu/stories/editorial/why-should-you-care-about-transit-venushttp://www.skyandtelescope.com/astronomy-news/observing-news/transits-of-venus-in-history-1761/ https://www.nytimes.com/2000/02/13/books/the-war-to-begin-all-wars.html#:~:text=Winston%20S.,Africa%2C%20India%20and%20the%20Philippines. Hosted on Acast. See acast.com/privacy for more information.