Podcasts about ai tool

Summary In this episode of Inspired Caring, Michele Magner speaks with Kristin Thomas, founder of KindredMind. KindredMind is An AI voice companion that answers phone calls from people living with dementia using familiar voice technology. A clone of their caregiver's voice, plus proactive check-in calls and reminders. It's built around "simulated presence therapy" and "validation therapy" — established dementia-care concepts that favor emotional comfort over literal correction. Kristin shares about her journey as a family caregiver and explores the emotional and practical challenges faced by caregivers, the impact of technology in caregiving, and the importance of understanding unmet needs in dementia care. Kristin shares insights on how KindredMind utilizes voice technology to provide reassurance and connection for both caregivers and those they care for, ultimately aiming to reduce anxiety and improve quality of life. TakeawaysCaregiving can span generations, impacting family dynamics.The emotional toll of caregiving can lead to feelings of guilt.Innovative technology can provide solutions for caregiver challenges.Understanding unmet needs is crucial in dementia care.Maintaining independence for loved ones is a key ethical principle.Voice technology can enhance communication and reduce anxiety.Caregivers need support to manage their own mental health.The importance of compassion in responding to repetitive calls.Kindred Mind aims to bridge the gap between caregivers and their loved ones.Technology can be a force for good in caregiving.Keywordscaregiving, dementia, technology, Kindred Mind, family caregivers, mental health, support, innovation, Alzheimer's, voice technology, AISound bites"This caregiving spans two generations now.""She was a powerhouse in shoulder pads.""It's not sustainable to field every single inbound call.""You're never disconnected, you're always apprised.""The goal is always one of calm and peace.""The guilt has lessened.""It's the best version of you showing up."Chapters00:00 Introduction to Kindred Mind and Caregiving Journey06:31 The Impact of Caregiving on Family Dynamics12:54 Innovative Solutions for Caregiver Challenges20:11 Understanding Unmet Needs in Dementia Care26:46 The Role of Technology in Caregiving32:55 Future of Caregiving and Kindred Mind's VisionConnect with Kristin:KindredMind.CareLinkedInInstagramWhat's on her Playlist: SadeInspired Caring is THE family support & education program that helps families feel calm and confident to make better decisions faster. Inspired Caring is also offered as an annual membership tobusinesses to provide for the families they work with.Connect with Michele Magner:⁠Website⁠⁠E-mail⁠Instagram⁠⁠Facebook⁠⁠LinkedIn⁠⁠YouTube⁠Custom podcast music written and produced by Colin Roberts. He does custom songs for any occasion.

The Education Brief: Wednesday 16 September 2026 - Top stories include:Education secretary Lucy Powell wants to end the “dog eat dog” culture between schools.England's school food rules are getting new standards due from September 2027.A new report suggests schools joining academy trusts improve pupil attainment more, but there are caveats.Ofsted's new inclusion framework may be penalising the very schools serving the highest proportions of pupils with SEND.Only 59 per cent of parents now say they feel involved in their children's education.The biggest concern for England's planned natural history GCSE is staffing.Deep Dive: England's PISA Resultshttps://www.gov.uk/government/publications/pisa-2025-national-report-for-englandWatching - https://www.suttontrust.com/our-programmes/teacher-work/Listening - https://www.npr.org/2026/09/07/nx-s1-5959775/when-is-your-brain-actually-adult Reading - https://www.faireducation.org.uk/report-card-2026 AI Tool - https://www.canva.com/newsroom/news/back-to-school-2026/ ⁠Music by Slo Pony⁠

In rural Texas, severely injured patients often wait more than two hours to reach specialized trauma care. A UT Health San Antonio trauma surgeon is co-leading an effort to change that with an AI tool designed to help emergency doctors make faster transfer decisions that can mean the difference between life and death.

Most people are either using too many AI tools or not enough. The real problem? Not understanding the categories and capabilities of the main AI tools that matter. And with constant updates, it's pretty much impossible to get a decent lay of the AI land. We're changing that with this episode: From Chatbots to Super Agents: The 11 AI Tool Categories Explained -- An Everyday AI Chat With Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:11 Essential AI Tool Categories OverviewText Reasoning Assistants ExplainedMultimodal AI Operating Systems BreakdownAI Search and Deep Research ToolsVoice and Speech AI Tech TrendsAI Image Generation Diffusion ModelsAI Video Generation & World ModelsAI Music Generation Tools and PlayersDesign and Visual Content AutomationVibe Coding App Builders FunctionalityAI Coding Copilots & Local AgentsAutonomous AI Agents and BrowsersBuilding a Competitive Personal AI StackTimestamps:00:00 Overview of 11 AI tool categories06:40 AI tools and their uses07:54 Old school AI systems11:23 Being patient with AI tools16:15 How AI models find answers17:22 Future of browsing with AI23:49 How AI generates images26:50 How video generation works29:01 Creative AI and music generation33:48 AI tools and natural language34:41 Explaining vibe coding and key players38:35 Understanding autonomous AI agents42:58 AI platforms and top players45:02 Choosing the right AI tools48:04 Choosing the right AI toolsKeywords: AI tool categories, chatbots, super agents, text reasoning assistants, multimodal AI platforms, AI search, deep research, voice and speech AI, speech to text, text to speech, image generation, diffusion models, video generation, Sora, worSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

The Education Brief: Wednesday 9 September 2026 - Top stories include:Internal exclusions in England's secondary schools have almost tripled in just three years.The government's SEND reforms are facing some serious warning signs before beginning.England has strengthened its performance in the latest PISA international rankings.School leaders call for stronger government support to deal with AI deepfakes.Insights:1.From Teacher Quality to Teaching Quality: Instructional Productivity and Teaching Practices2.The Memory Paradox: Why Our Brains Need Knowledge in an Age of AI3.From Gradual Release of Responsibility to Gradual Release of Technology: A Case for the Staged Use of AI in Formal Education4.Interventions to Improve Connectedness, Belonging, and Engagement in Secondary Schools: A Systematic Review and Meta-AnalysisWatching - https://www.9ine.com/watch/kcsie2026webinarListening - https://educationendowmentfoundation.org.uk/news/maths-prioritising-problem-solving Reading - https://thedustytsundoku.wordpress.com/2026/07/10/were-not-doing-anything-about-inclusion-heres-why/  AI Tool - https://workspaceupdates.googleblog.com/2026/08/gemini-in-google-classroom-is-expanding-to-users-of-all-ages-with-contextualized-Gemini-starter-prompts-for-students.html ⁠Music by Slo Pony⁠

AI can write a paragraph, organize a sermon, summarize a book, and answer a difficult question in seconds. But what happens when convenience begins replacing the very struggle through which wisdom, discernment, and spiritual maturity are formed?In this episode of Soul02, we examine the spiritual side of cognitive surrender. Is AI a tool that extends our God-given abilities, or a crutch that slowly weakens our confidence and responsibility? We will look at current research, biblical wisdom, spiritual formation, sermon preparation, and a practical framework for using AI without allowing it to think, decide, or believe for us.Connect with us: YouTube: YouTube.com/@soul02-oxygen Facebook: @LP.Oxygen https://www.facebook.com/LP.Oxygen Instagram: LP.Oxygen Twitter: @Soul025 Buzzsprout: Soul02-Buzzsprout Spotify: Soul02 - Spotify Apple: Soul02-Itunes Stitcher: Soul02-Stitcher 

The Education Brief: Wednesday 2 September 2026 - Top stories include:Young people in poor urban schools are more than twice as likely to be NEET after Key Stage 4 as those in affluent suburban areas.A new pilot is attempting to tackle England's growing SEND tribunal backlog.England's GCSE English and maths pass rates have fallen for the fifth year running.Students in least deprived areas are three times more likely to take GCSE PE and drama as those in the most deprived.AI may be easing teachers' workloads, but not necessarily reducing work hours.Insights:School belonging and attainment at key stage 4: linked data study: https://assets.publishing.service.gov.uk/media/6a70a6c7e348732cfe958bdb/School_belonging_and_attainment_at_key_stage_4_linked_data_study.pdf HEP Updates:Get your HEP CPD Package here: https://haringeyeducationpartnership.co.uk/professional-development-at-hep/Watching - https://www.safeguardinginschools.co.uk/kcsie_2026 Listening - https://podcasts.apple.com/cy/podcast/science-of-reading-the-podcast/id1483513974 Reading - https://theparentvoiceproject.org.uk/wp-content/uploads/Parent Voice Project Report 3.pdf AI Tool - https://www.microsoft.com/en-us/education/blog/2026/05/study-and-learn-ai-built-for-your-student/ ⁠Music by Slo Pony⁠

AI is already crashing the workplace party, but apparently, the humans were left off the guest list!  Today, I'm joined by attorney and human-centered leadership strategist Val Jensen to talk about biased tools, performative people-first promises, and why letting AI make decisions about employees is a legal and ethical dumpster fire waiting to happen.  We're also getting into who's actually responsible when AI causes harm, and why most companies are wildly unprepared, while leadership is sprinting toward the robots.  --- With Shapes, people management looks completely different. Think AI agents handling the routine, a secure HR core, and the ability to build any people tool your org needs, just by describing it in plain english in their built in Shapes Vibe studio. If your systems feel stuck in 2015, go check out Shapes at ⁠⁠⁠⁠https://shapes.co/⁠⁠⁠⁠ --- If you love I Hate It Here, sign up to Hebba's newsletter! It's for jaded, overworked, and emotionally burnt-out HR/People Operations professionals needing a little inspiration. ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://workweek.com/discover-newsletters/i-hate-it-here-newsletter/⁠⁠⁠⁠⁠⁠⁠⁠⁠ And if you love the podcast, be sure to check out⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://www.youtube.com/@ihateit-here⁠⁠⁠⁠⁠⁠⁠⁠⁠ for even more exclusive insider content! --- Follow Val on LinkedIn: https://www.linkedin.com/in/valerie-jensen-jd-she-her-hers/ Follow Hebba YouTube:⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://www.youtube.com/@ihateit-here/videos⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn:⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://linkedin.com/in/hebba-youssef⁠⁠⁠⁠⁠⁠⁠⁠⁠ Twitter:⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://twitter.com/hebbamyoussef⁠⁠⁠⁠⁠⁠ Come join Hebba at Safe Space Summit 2026 in Huntington Beach, CA! To learn more, check out:⁠⁠⁠⁠ https://www.safespacesummit.com/

Comments? Feedback@SellSellSell.online or Facebook *** What's Happening with eBay Consignment Now? *** eBay Luggage Category - A Mess *** Shoutout to Canada *** Buyer's Guide to Turn Off a Seller *** Nifty AI Listing Tool *** Free Shipping on Shipping Supplies Coming Soon *** See You in Miami October 15th?

AI isn't coming for the fitness industry. It's already here, and CrossFit Affiliate Owners using it are saving hours every week. In this episode, we sit down with Eamon Anderson, former Army Green Beret and founder of Outside the Box (08 Solutions), to break down exactly which AI tools actually move the needle for CrossFit gym owners.

Today, on Karl and Crew, we continued our weekly theme, “Spiritual Gifts.” Dr. Rick Melson and Dr. Drew Dickens joined us today. Dr. Rick Melson, the New President of Moody Bible Institute, shared his heart for Moody’s future, the importance of staying anchored in Scripture, and why Spirit-led leadership is essential for lasting gospel impact. Then Dr. Drew Dickens, an AI expert, shared encouraging developments in AI, demonstrated how thoughtful prompting can turn an idea into a practical tool, and gave listeners a spiritual gifts assessment to help them identify their gifts. We then turn to our listeners who took the assessment and ask, “What did you think? What was confirmed for you? What surprised you?” You can hear the highlights of today’s program on the Karl and Crew Showcast. If you're looking to hear a particular segment from the show, look at the following timestamps: Drew Dickens [ 07:01 ]Call Segment [ 26:00 ]Dr. Rick Nelson [ 41:45 ]Donate to Moody Radio: http://moodyradio.org/donateto/morningshowSee omnystudio.com/listener for privacy information.

Today, on Karl and Crew, we continued our weekly theme, “Spiritual Gifts.” Dr. Rick Melson and Dr. Drew Dickens joined us today. Dr. Rick Melson, the New President of Moody Bible Institute, shared his heart for Moody’s future, the importance of staying anchored in Scripture, and why Spirit-led leadership is essential for lasting gospel impact. Then Dr. Drew Dickens, an AI expert, shared encouraging developments in AI, demonstrated how thoughtful prompting can turn an idea into a practical tool, and gave listeners a spiritual gifts assessment to help them identify their gifts. We then turn to our listeners who took the assessment and ask, “What did you think? What was confirmed for you? What surprised you?” You can hear the highlights of today’s program on the Karl and Crew Showcast. If you're looking to hear a particular segment from the show, look at the following timestamps: Drew Dickens [ 07:01 ]Call Segment [ 26:00 ]Dr. Rick Nelson [ 41:45 ]Donate to Moody Radio: http://moodyradio.org/donateto/morningshowSee omnystudio.com/listener for privacy information.

Today, on Karl and Crew, we continued our weekly theme, “Spiritual Gifts.” Dr. Rick Melson and Dr. Drew Dickens joined us today. Dr. Rick Melson, the New President of Moody Bible Institute, shared his heart for Moody’s future, the importance of staying anchored in Scripture, and why Spirit-led leadership is essential for lasting gospel impact. Then Dr. Drew Dickens, an AI expert, shared encouraging developments in AI, demonstrated how thoughtful prompting can turn an idea into a practical tool, and gave listeners a spiritual gifts assessment to help them identify their gifts. We then turn to our listeners who took the assessment and ask, “What did you think? What was confirmed for you? What surprised you?” You can hear the highlights of today’s program on the Karl and Crew Showcast. If you're looking to hear a particular segment from the show, look at the following timestamps: Drew Dickens [ 07:01 ]Call Segment [ 26:00 ]Dr. Rick Nelson [ 41:45 ]Donate to Moody Radio: http://moodyradio.org/donateto/morningshowSee omnystudio.com/listener for privacy information.

Today, on Karl and Crew, we continued our weekly theme, “Spiritual Gifts.” Dr. Rick Melson and Dr. Drew Dickens joined us today. Dr. Rick Melson, the New President of Moody Bible Institute, shared his heart for Moody’s future, the importance of staying anchored in Scripture, and why Spirit-led leadership is essential for lasting gospel impact. Then Dr. Drew Dickens, an AI expert, shared encouraging developments in AI, demonstrated how thoughtful prompting can turn an idea into a practical tool, and gave listeners a spiritual gifts assessment to help them identify their gifts. We then turn to our listeners who took the assessment and ask, “What did you think? What was confirmed for you? What surprised you?” You can hear the highlights of today’s program on the Karl and Crew Showcast. If you're looking to hear a particular segment from the show, look at the following timestamps: Drew Dickens [ 07:01 ]Call Segment [ 26:00 ]Dr. Rick Nelson [ 41:45 ]Donate to Moody Radio: http://moodyradio.org/donateto/morningshowSee omnystudio.com/listener for privacy information.

Today, on Karl and Crew, we continued our weekly theme, “Spiritual Gifts.” Dr. Rick Melson and Dr. Drew Dickens joined us today. Dr. Rick Melson, the New President of Moody Bible Institute, shared his heart for Moody’s future, the importance of staying anchored in Scripture, and why Spirit-led leadership is essential for lasting gospel impact. Then Dr. Drew Dickens, an AI expert, shared encouraging developments in AI, demonstrated how thoughtful prompting can turn an idea into a practical tool, and gave listeners a spiritual gifts assessment to help them identify their gifts. We then turn to our listeners who took the assessment and ask, “What did you think? What was confirmed for you? What surprised you?” You can hear the highlights of today’s program on the Karl and Crew Showcast. If you're looking to hear a particular segment from the show, look at the following timestamps: Drew Dickens [ 07:01 ]Call Segment [ 26:00 ]Dr. Rick Nelson [ 41:45 ]Donate to Moody Radio: http://moodyradio.org/donateto/morningshowSee omnystudio.com/listener for privacy information.

According to Salesforce’s State of Sales Report, sales teams use an average of 10 tools to close a deal, which then leaves 66% of reps to say that they’re overwhelmed by the sheer number of platforms they’re expected to juggle in their day-to-day. So when an enablement team goes to roll out new tools, reps more than likely just stop listening because it feels like it’s just another login that they’ll slowly stop opening over time. So how do you introduce something new without asking reps to change how they already work? 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 Ryan Costello, go-to-market senior enablement tools specialist at Enverus. Ryan, thank you so much for joining us today. I’m super excited to have you here. As we’re jumping into this topic, and a little bit of a loaded one, could you kick us off just by telling us a little bit about yourself, your background, and your role? Ryan Costello: Thanks for having me, Riley. So I’m Ryan Costello, coming to you from Indianapolis, Indiana. I started my professional career as a high school English teacher. I taught for 18 years, and then I left the classroom. I spent a couple years as a learning consultant at Lessonly and Seismic, and for the last two or three years, I’ve been working at Enverus. We’re an energy technology company, and I’ve been on our sales success team, helping our reps use the tools they’re asked to use more efficiently. So I manage our content and learning management systems, as well as our call recording and social selling softwares. That’s the quick version of me. RR: So sounds like you’re the right person to talk to when it comes to tool adoption and long-term tool adoption. As we’re thinking about how you’re making that happen in the specific environment that you’re working in, I’d love to get a little bit of background on the challenges that you’re coming up against. So what is it that makes your go-to-market motion complex, and how are you trying to solve these challenges or simplify these challenges with tools? RC: Enverus is a company that helps all fields in the energy industry. So that means that we are helping solar companies, oil and gas companies. We’re helping people that are investing in new energy technologies. And so there are so many different fields within the energy industry, and we have hundreds of products and SKUs that sometimes overlap with those various segments, that it can become a real challenge to get all of that information to the right reps. And so what we’re trying to do when it comes to helping them leverage tools is making sure that as we continue to offer more and more for our customers, we want to make sure that as that haystack grows, their ability to find the needle, to find the piece of content they need, or the training to get better at selling, doesn’t take away from their time with customers. That’s really what we’re ultimately focused on. RR: As you’re, again, helping reps find the needle in the ever-expanding haystack, it does sound like there are many avenues through which your sellers, your sales managers, anybody who’s looking for information can go try to access it from the bajillion platforms that we all have. So where do your teams today work from? RC: First and foremost, we’ve had Highspot for years, and our organization is really comfortable with it. The reps understand its value, but they’re often in other platforms. So one example I’ll use is, they’re in Salesforce a lot. And so for a while now, we have incorporated a Highspot widget in Salesforce so that they can search for content from that platform, and many of them have grown accustomed to it because they just, for whatever reason, live in Salesforce more. But like everybody else right now, companies, including ours, are starting to give them access to AI platforms. And so our entire go-to-market organization right now is in ChatGPT, and then our sales leaders and marketing, my team, is also in Claude. So when I’m primarily serving the reps, the main need that we found was that the reps are being told, “Use ChatGPT.” And so what we found was they were spending more time in a platform like ChatGPT. So to have an option where Highspot could essentially follow them there, any opportunity we have for Highspot to be where they’re naturally at is something that we’re interested in. When they were spending more and more time in ChatGPT, we needed something that let them more easily get to Highspot without having to travel there, basically. RR: So since you’ve started using the Highspot MCP Server to, like you said, bring Highspot along with you wherever your teams are working, whether that is Claude, whether that’s ChatGPT, what kind of use cases are you seeing sellers using that for? And maybe what kind of use cases were they trying to use these tools for previously that were kind of difficult because they didn’t have enough context to really deliver them? RC: One thing that they’ve really enjoyed within the platform is that now you can use the search bar and ask it a question, and it’ll give you an AI-generated response, and you can have that conversational experience. They were still saying, “Yeah, but I need to combine the information on our products that we have in Highspot with the information that I’m getting from a call transcript with a customer or some information in email correspondence that I’ve had with them.” And so what we’ve started to see with the Highspot MCP and ChatGPT is the ability to combine the information in Highspot with the capabilities that exist outside of the platform. But by having Highspot present in ChatGPT through the MCP connector, they’re able to do things without jumping around and having to manually synthesize it themselves. RR: I know you spent a lot of time testing it yourself before you launched it out to the field to make sure this was something valuable, something they would use, something that fit into their workflow. Can you walk me through what the process of evaluating this looked like? RC: When it became available, we met with our Highspot CSM and a Highspot TAM to talk through what the MCP was designed to do. And before I wanted to have our reps try it out, I wanted to make sure that it would serve their needs. And so the Highspot team gave me a whole set of sample scenarios. Here are the types of questions that we think reps would be served by. And I took quite a bit of time. I tested every sample prompt, every scenario that Highspot gave me. So I took the time to see, are the prompts and scenarios that Highspot has designed this MCP to help with, are they landing with the content that we happen to have? That was a really important process because I certainly identified some prompts and scenarios that just because of the nature of our business, didn’t quite land. So that was the first step, was let me try these out and see what lands and what doesn’t land, so that I could identify what to unveil this with to ensure that the first time a user tries it, it hits. So that testing allowed me to prepare resources that would lead with what it’s best at and give some troubleshooting right off the bat so that if they stub their toe, they had a quick solution. So that was all just the testing phase to then get to resources so that I could create a how-to video and a how-to guide so that they could step by step set it up and try it out. RR: To the point at the top, you launch a tool, it sounds scary, nobody uses it. If you can make it easy, or at least feel digestible, you give yourself a little bit of an edge. So I’d be curious, in addition to the resources that you built and the thoughtfulness with which you approached what works, I’d love to know a little bit more about what the rollout to your teams looked like. RC: So after I had tested everything, we did what I would consider a soft launch. We let all of our Highspot users know that it was available, and we designed those resources so that whether they were using ChatGPT or Claude, the resources focused more on what the Highspot MCP could do regardless of the platform. All the information was essentially the same so that we didn’t have to create two different versions of everything. But once we had tested and had those general resources, we let everybody know via email and our Teams channels, “This is now available. Try it out.” And that probably lasted a month and a half. And while that was happening, I was asking, “If anybody’s trying this and you’re having success or not, let me know.” Because before we did a full rollout, I needed to know the real-world application and value of the MCP, which I just can’t do myself because I’m not a rep and I’m not talking to customers. And so during that soft launch, our reps who were always up to try something new, they were our guinea pigs, so that when we did a full launch about a month and a half later, I could have more specific use cases. And so the full launch had resources that were more specific to us, and I was just more aggressive. So we again fully launched through email and Teams channel communication. And then every week, I would provide specific examples from our guinea pigs earlier, knowing that it had genuinely helped them, and that would ultimately give this more credence. And so for the last month and a half or so, that’s what’s been happening. Every week, I post new updates, I continue to ask for feedback. It’s amazing the motivation a ten dollar Starbucks card will get in people responding to surveys. And during all that time I’ve been able to continue to fine-tune the resources we have to make sure that we’re helping them avoid frustration and continuing to point out all the time it’s saving by eliminating some of the context and tool switching that takes up way too much of their day. RR: I’d be really curious too, when you were in those conversations with your early, we’ll call them champions, but also guinea pigs, what were some of the things that were coming up that were exciting, some of the use cases that they were enthusiastic about? RC: I would say the number one example that I was seeing was being able to use the MCP connector to combine insights they were getting from customers with the resources available. So something as simple as, “Here are the calls I’ve had with the customer so far. What resources would speak to their pain points or challenges?” But in addition to that, we have a lot of information in Highspot, and not all of it is going to hit in every moment of the sales cycle. And so the MCP connector would give us recommendations not only on what to share, but when to share it. For example, we would have a user say, “Here are the last three calls I’ve had with the customer. What should I share with them from Highspot?” And it would respond with maybe six pieces of content, but then it would say, “I recommend sharing pieces one, two and four right now. These other resources may be helpful as follow-up.” The other use cases that I’ve seen pretty often are more on the marketing and product side of things, where they too are looking at customer call recordings and trying to make sure that our content speaks to the actual concerns and ever-evolving needs that our customers have. And they too have been using the MCP server to make sure the content we have speaks to today’s concerns. This allows them, again, in a place like ChatGPT, where they are doing some more sophisticated synthesis of information from various resources, to not have to jump back to Highspot and look through the information we currently have published, which has been really helpful. And then the third one that I’ll mention, I would say this is starting to come up more often. I have had some users that have said, “I really like that I can use the MCP connector in ChatGPT to generate an initial pitch link.” So if they ask through the MCP what resources would help this customer, and it says these three, they can generate that pitch link with those three pieces of content right there in that same conversation. I think that’s been really helpful. RR: And then it kind of expedites the time from strategy all the way through to action, where you know exactly what you need to do, you have great suggestions, and then you can, boom, from the place that you’re working in, send it out the door. That’s huge. But I’m curious, you did all of this testing, all of this evaluation, did this go the way you expected, or are people using this in ways that you had never imagined? RC: I think it’s going as expected because of the time that we took to test it first. With a lot of other tools that are being rolled out, sometimes everyone’s so eager to get people exploring and trying that they give them access and say, “Let us know what’s working and what’s not.” And that just increases the likelihood that more people are going to stub their toe, and I think that hurts adoption. I get to benefit from being on a team where my role allows me to slow things down a little bit and test. And because of that, I was pretty confident that when we rolled this out, we would be leading with what was most likely to work, and frustration would be minimal. And that’s certainly what we’ve found. During the soft launch when we just said, “It’s available. Here are some basic instructions,” I did look at some stats, and at least on the ChatGPT side, the Highspot MCP connector was being used a few hundred times a month. And then once we did the full rollout that had the specific examples from, you call them champions, I call them guinea pigs, when we had those more specific examples, last month it was about 1,000 uses of that connector. So we saw that increase, and what did not increase was people reaching out to me saying, “This is broken,” and, “This isn’t working.” So it went as I expected, and that’s because we had the luxury that I know not everyone has. RR: And I think that takes me well into the next question, which is that all of this is very new, whether it’s to the teams building it or the teams that are being asked to use it. So when you’re trying to roll out a workflow that is either a new AI tool itself or a connector to an AI tool, anything that feels unfamiliar and foggy, why do you think that change management is so important, and why did you invest so heavily in that? RC: Change management is important, first of all, because that’s the reality of the world we live in now, that we’re constantly being asked and then sometimes required to use these new technologies. And I think a big part of my responsibility on our sales success and enablement team is to make sure that any new tool speeds them up, it doesn’t slow them down. It makes them better at their job, and it doesn’t make them worse. If they don’t know how to efficiently leverage that tool, it’ll take them longer than it should, it’ll frustrate them, and in some cases it may cause them to make mistakes. And so making sure that you approach change management with a focus on minimizing disruption and decreasing the chance of them making a mistake or running into a wall, I think is time well spent. Because otherwise, you’re making it much more likely that their first experience with this new tool is not going to make them faster or better, therefore they’re not going to adopt it. If it doesn’t do those things, it’s not worth their time, and it’s not worth whatever money we’re spending on it. If you want to make sure that money’s well spent, you’ve got to make sure that rollout is setting them up for quick success. RR: I like the principle you laid out there, of any new tool, what is it meant to do? Sure, we have broader goals, but at the end of the day, it doesn’t slow them down, doesn’t make them worse. Okay, so you’re a couple months into the rollout. You have more than just a handful of folks using it now. With Highspot MCP Server and these connectors between all of the AI tools that you’re using live now, what early signals are you seeing that are telling you, “This actually was a good use of our time, and not only that, it is impacting how our sellers behave, perform, execute”? RC: I would say two things. These AI platforms are fairly limited in the stats that you can find right now, but I do at the very least know that the connector is being used way more often now than it was the month before, than it was the month before. So there are some basic numbers that I think prove that this is being successful. The other thing, too, is more anecdotal, and that is just people reaching out or sharing with their colleagues when the Highspot MCP connector fit into their established workflows. So what we’re seeing more often is in team sessions, when they’re talking about deals, they’re referencing, “This was the point when I used the connector to do this or that.” And in turn, what’s happening is that information is allowing our team, when training our new users for some of these platforms, to lead with that. For example, when I’m training our new hires on Highspot, generally speaking, I’m now adding a section that talks about not just finding Highspot content in Highspot, but finding it in ChatGPT, because I know that their managers are telling them to do a lot of other things there, because there are all these other agents that are being built in that place. And then vice versa, I mentioned earlier that the most common use we’re finding is combining customer call transcripts with Highspot content. So when I’m training them on our call recording software, I’m also mentioning the Highspot MCP, because that’s starting to settle into those workflows of how do I quickly get insights on the conversation I just had? But now they are learning that part of that process can also involve Highspot through the MCP. So the numbers are telling us it’s being used more, so I think that’s good. But then just anecdotally, people are sharing when in the real world of my day did it actually help? And that helps us in turn set everybody up for that success by pointing out those moments. RR: Do you have a success story that a seller brought to you and said, “In this specific deal, this worked out really well and enabled me to achieve X”? Anything like that, that you were like, “Yes, this is the win I was looking for.” RC: There have certainly been examples where someone reached out to me, and typically it was because of a clock running. And so they would say, for example, “The call finished. As soon as it processed, I was able to immediately give ChatGPT the call transcript, ask it what I should share in Highspot, do a quick check to make sure it was legit,” and then they were able to share that content in their follow-up with the customer. Whereas previously, that might have taken another day. And so the example was the Highspot MCP allowed me to more quickly follow up with the customer with relevant content. The other example that I would use is more on our new hires. I’ve talked a lot about how the Highspot MCP is helping us better access the content that’s designed for our customers. The new hires are also finding it helpful learning about our products for their own sake and how to level up. For example, asking what training exists in Highspot that can help me deal with objections. The Highspot MCP has been a quicker process, so I think that them improving their own sales skills is something that this connector speaks to as well. RR: I love that use case, the self-serve onboarding workflow almost of I’m coming into the company, I’m confused, but I know that any answer I’m looking for lives here, and I can ask it in really natural, sometimes confused language questions that will give me the right answer without needing to have the level of detail that you might otherwise. We kind of glossed over a question I wanted to ask earlier. What is the pie-in-the-sky vision of the kind of usage that you’re looking to eventually drive as this rollout continues on? RC: I think the ultimate goal is to make sure that when the Highspot MCP adds genuine value, it saves them time in a common moment of their day, that we’re able to reference that in all the other training that we do. As use increases, as we continue to get feedback on when it helped them, making sure that we go back to our training and resources on that part of the sales process, and making sure we’re calling out the value of the connector in that moment. So what we want to do is make sure that in all of our training, when it would be helpful in their day-to-day workflows, that we are calling it out, that we are giving them the information they need to use it effectively, because that is going to speed up their day. That is going to make them more successful. So it’s less about Highspot MCP-only resources, and more about sprinkling it into all of the sales skill training that we do. RR: Because it works best when it’s quiet. It’s one of those things that your sellers don’t need to know the tools that they’re using like the back of their hand the way you do. They just need to trust that they’ll deliver for them in the way they expect. Okay, last question for you. For anyone tuning in that’s thinking about tackling a rollout, whether it is of we’re just trying to get ChatGPT or Claude or any sort of AI tool out into the world, or we’re trying to bring our tools into it, what’s one thing about your approach that you’ve laid out here that you would say, “Please do not skip this”? RC: Don’t skip testing. I know that people higher up in the organization are maybe a little more eager to roll things out and gain value in things, but if you skip testing, you’re less likely to realize that value. So anything you can do to give yourself time to test means it will be less painful, less embarrassing, less deflating to identify issues. A rushed rollout is going to take more time in the long run because you’re going to have to clean it up in public, and that creates a whole new host of challenges. If you have the time to test, don’t skip it. If you’re struggling to gain that time to test, all I can say is to try and advocate by pointing out that reality. That is going to, in the long run, create a quicker time to value. RR: The challenge with some of this is that the advice is sometimes frustrating because you know you need it, you know you need time, you know you need patience. The enthusiasm needs to be dulled a little bit before you can take it out into the world, and it’s hard, I think, especially because there’s so much pressure on a lot of folks that are doing the building, and there’s just a lot of excitement on, “I’ve spent two and a half weeks, three weeks, two months, whatever the case may be, building this. I want to bring it to life.” So I appreciate the measured advice to take a breath, take a breather, slow down to go fast. And I appreciate the time broadly. It has been really wonderful to hear what you’ve been working on and all of the work it has taken to get to this point, so thank you for coming on and joining us. RC: Appreciate it. RR: 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.

AI tools are shipping faster than most normal humans can figure out what half of them actually do.So Thursday, August 20 at 10 AM PT / 1 PM ET, we're going LIVE to translate this week's biggest AI launches into plain English.

Jon Seaton, founding Partner at Echo Canyon Consulting, has developed a platform to reshape how data and AI can improve the ground game of field canvassing. Field data, often manually audited and slowly made available, is a key source of information for campaigns, and intentional inaccuracies or accidental errors can quickly contaminate datasets downstream.  While many AI solutions focus on generating content, this solution focuses on verifying that a human has actually conducted the work. We talk about: Previous struggles with data reliability from field canvassers leading to poor strategic campaign decisions Fraud detection and what canvassers think they can get away with How near real-time reporting allows for corrective actions and feedback to canvassers Why door-to-door canvassing remains the most effective campaign tool #EchoCanyonConsulting #Astralis #PoliticalCampaigns #FieldOperations #CampaignTech #GroundGame #AIinPolitics #DataIntegrity #GetOutTheVote #CampaignStrategy EchoCanyonConsulting.com

As a communications professional you've used ChatGPT, Claude, or Copilot in the last 30 days. Probably in the last week. Probably earlier today. And at some point you've had the same experience: you put in a prompt, you get back something that's technically competent and completely generic. You spend the next 20 minutes re-prompting, editing, wrestling it into something that actually sounds like your organization, your voice, your situation. A Workday study found that 40% of the time saved by using generative AI tools is immediately lost reworking the outputs. You traded one kind of work for another.The reason is simple and almost nobody is saying it out loud. Those tools were built for everyone. Which in communications terms means they were built for no one in particular. They don't think like a communicator. They don't have access to what a communicator needs. They don't know what's being said about your organization right now across 4,000 TikTok videos, each with modest view counts, each repeating the same damaging narrative, each flying completely below the radar of your existing monitoring tools. Stratum is the tool that needed to be built three years ago.Watch the YouTube Video of this episode to see Stratum demonstration Listen For3:29 Why do communications teams need AI built around use cases instead of tools?6:30 What is Stratum and how is it different from ChatGPT or Copilot?12:18 What is the difference between an AI agent and an agentic workflow?17:29 Can AI detect a reputation crisis before it goes viral?19:45 How can AI identify the right influencers for a campaign? Guest: Matt Collette, Sequencr.AIWebsite | LinkedIn | Stratum Platform DougSubstack | Website | LinkedIn Subscribe to the Stories and Strategies PR podcast newsletter Are you a brand with a podcast that needs support? Book a meeting with Doug Downs to talk about it.Apply to be a guest on the podcastConnect with usLinkedIn | X | Instagram | You Tube | Facebook | Threads | Bluesky | PinterestSend us a note about this episode. We'll reply and thank you on a future episodeSupport the show

Joe Putnam is the founder of Conversion Engine, Conversion Engine is an eCommerce performance marketing agency that has helped Shopify stores scale from six figures to eight figures in as little as 12 months. With a background in direct-response copywriting and growth strategy, Joe specializes in crafting Meta ads, Google campaigns, and retention strategies that actually convert. He's helped brands like Bogey Bros, No Rivals, Salt Mafia, and Back Down South Clothing Co unlock rapid growth, including scaling one store from $650k to $10M in a single year.Joe is passionate about demystifying marketing for entrepreneurs, sharing frameworks and real case studies that help brands build sustainable growth instead of chasing quick wins. When he's not helping brands scale, you'll find him training for triathlons, exploring the outdoors, or investing in the next wave of business growth opportunities.Highlight Bullets> Here's a glimpse of what you would learn…. Strategies for scaling e-commerce businesses from six to eight figures.The importance of bold branding that takes risks and appeals to ideal customers.Insights on the evolving landscape of Meta (Facebook) advertising and its impact on ad performance.The significance of creative diversity in ad campaigns, especially after Meta's Andromeda update.The necessity of understanding financial metrics, such as breakeven ROAS and contribution margins, for informed scaling decisions.The role of emotional storytelling in advertising and its effect on consumer purchasing behavior.The integration of AI tools in marketing processes and the importance of human oversight in utilizing AI-generated content.The need for brands to establish a clear growth strategy and a strong brand identity.The value of retention marketing and creating cohesive customer experiences for long-term loyalty.Case studies illustrating successful scaling strategies and the importance of data-driven insights in marketing.In this episode of the Ecomm Breakthrough Podcast, host Josh Hadley interviews Joe Putnam, founder of Conversion Engine, about scaling Shopify brands from six to eight figures. Joe shares advanced strategies for e-commerce growth, including bold branding, creative diversity in Meta ads, and leveraging AI for customer insights. He emphasizes the importance of emotional storytelling, data-driven decision-making, and retention marketing. The discussion features actionable advice, real-world case studies, and tools for understanding customer psychology, offering listeners a practical roadmap to achieve rapid and sustainable e-commerce growth.Here are the 3 action items that Josh identified from this episode:Choose Your Growth Strategy EarlyDecide whether you'll prioritize aggressive growth (even at lower margins) or profitable customer acquisition from day one. You can't do both—pick one strategy and track your numbers closely.Take a Clear, Polarizing Brand StandDefine the “hill you're willing to die on.” Stand firmly for a specific belief or value so your brand resonates emotionally and your ad creative doesn't try to appeal to everyone.Focus on Retention, Not Just AcquisitionBuild a real brand by creating repeat customer experiences across multiple products. The goal is to deepen trust and increase lifetime value—not just drive one-time sales.Timestamps:00:00:00 Branding That Stands OutJoe discusses the importance of bold branding, taking risks, and not trying to please everyone.00:00:18 Podcast Introduction & Guest BackgroundIntroduction to the Ecom Breakthrough Podcast, host Josh Hadley, and guest Joe Putnam's credentials.00:00:32 Scaling Shopify Brands: The MissionJosh shares his journey and introduces Joe's expertise in scaling Shopify stores from six to eight figures.00:01:57 Welcome & Episode FocusJoe is welcomed; the episode's focus on strategies for seven-figure e-commerce sellers is introduced.00:02:25 Meta Ad Creative & 2026 TrendsJoe highlights the importance of ad creative for Meta campaigns and adapting to recent changes.00:03:07 Meta's Andromeda Update & Creative DiversityDiscussion of Meta's Andromeda update and the need for diverse ad creatives and angles.00:04:41 Implementing Creative DiversityJoe explains how his agency researches and implements diverse ad angles to target different buyer personas.00:05:35 Stitch Fix Example: Ad Angles in PracticeJoe uses Stitch Fix to illustrate the power of multiple creative angles in ad campaigns.00:08:34 Case Study: Scaling a Six-Figure BrandJosh asks about rapid growth case studies; Joe details how a six-figure brand scaled to eight figures in 12 months.00:11:58 Profitability & Retention StrategiesDiscussion on front-end profitability, launching email/SMS, and the impact of retention marketing.00:12:46 Scaling Ad Spend & Knowing Your NumbersChallenges of scaling ad spend, understanding total addressable market, and the importance of knowing financial metrics.00:16:13 Creative Strategy for ScalingJoe explains the importance of strategic, research-driven creative rather than just increasing ad volume.00:17:09 Lightning Rod Strategy & Viral ProductsJoe describes using controversial products to drive engagement and lower ad costs.00:19:17 Consumer Psychology & Emotional StorytellingThe importance of understanding customer psychographics and emotional storytelling in ad strategy.00:21:30 Brand DNA & Emotional MessagingJoe discusses brand DNA research and customer sentiment analysis to create emotionally resonant ads.00:22:20 Case Study: Country Lifestyle BrandA case study on using emotional storytelling to scale a country lifestyle brand rapidly.00:24:29 Branding, Trust, and Competing on AmazonJosh and Joe discuss building brand trust to compete against overseas knockoffs, especially on Amazon.00:27:56 Emotional Connection & Customer InsightsThe role of emotional connection in branding and tools for understanding customer psychographics.00:28:24 Customer Sentiment Analysis ProcessJoe outlines his process for analyzing customer reviews and Reddit posts to inform ad angles and messaging.00:29:38 Selling Through Ads & CopywritingThe importance of ads that sell, matching copy length to product complexity, and leveraging emotional triggers.00:31:49 AI in Marketing & CopywritingDiscussion on how Joe's agency uses AI (ChatGPT, Claude) for sentiment analysis, copywriting, and process optimization.00:35:30 AI Best Practices & Data IntegrationJosh and Joe discuss the importance of feeding AI accurate data and integrating it with business metrics.00:36:25 Three Actionable TakeawaysJosh summarizes three key takeaways: strategy selection, having a brand “hill to die on,” and building retention-focused brands.00:39:33 Bonus Takeaway: Customer-Driven CreativeJoe adds the importance of basing creative decisions on real customer insights and research.00:40:06 Rapid-Fire Questions: Book, AI Tool, InfluencersJoe shares his most influential book, favorite AI tool, and under-the-radar e-commerce experts to follow.00:43:22 Where to Connect with Joe PutnamJoe shares where listeners can find him online and learn more about Conversion Engine.00:43:48 Podcast ClosingPodcast outro and call to subscribe and leave a revi...

This Episode is Sponsored by StayFi Your ultimate tool for Vacation Rental WiFi marketing allowing you to collect guest emails automatically via custom captive WiFi login splash pages. Drive repeat direct bookings and convert your OTA bookings to book direct for their next visit. Visit https://stayfi.com/vrsuccess/ and use code VRSUCCESS for 50% off 3 months of StayFi service. ________________________________________________________________________________________________________________________________________ Five days before recording this episode, Heather added an AI agent called Viktor to her Slack workspace. Within the hour it had introduced itself to her entire team, worked out on its own that the podcast was central to the business, counted the back catalogue, audited which episodes had transcripts, and offered to fix the gap. It had also spent two thirds of her credit balance, and when she asked where the money had gone, the answer was not what she expected. That story is the way into a full account of the AI tools Heather is currently paying for: what each one does, what it costs, and whether it earns its place. The total comes to $329 a month, which is just under $4,000 a year, and it is a number she had never added up before preparing this episode. The second half is a practical method for auditing your own stack. Where duplication hides, what your existing property management software already does that you may be buying twice, why monthly subscriptions beat annual ones until you are certain, and how to hand the whole exercise to AI rather than building another spreadsheet. Heather also covers what is genuinely worth learning right now and what most operators can safely leave alone for another six months. Key Takeaways Most AI spending is not a decision. It arrives as a run of small, individually defensible choices, and it lands on top of a software bill that was already growing. When an agent runs on credits, the work you ask for is usually the cheap part. The expense sits in recurring background jobs and proactive activity nobody requested. Ask any metered tool, within the first week, where your credits went and what it does when you are not watching. A capable agent needs a scope brief before it gets access, not after. Decide what it can see, who can instruct it, and what it may do without asking. Per-seat pricing is where software bills quietly grow. A tool that costs $84 a year can cost $420 a year across a team. Audit by job, not by tool. Write down the job, then list everything you pay for that does it. Check what your existing platforms already do. Most PMS and operations tools have shipped AI features that operators are separately paying for elsewhere. Only take an annual plan once you are confident you will still be using the tool in a year. The discount is always offered when you are most enthusiastic and least informed. __________________________________________________________________________________________________________________________________

A recent lawsuit could shape how federal agencies document artificial intelligence in the procurement process. Trax International Corporation recently alleged that the Army's AI tool used to determine a contract award hallucinated and weakened the company's bid. While it might be hard for the contractor to prove that the error actually mattered to the outcome, legal experts say the case could become the first to test how much information agencies may have to disclose about their use of AI during bid evaluations. Federal News Network's Anastasia Obis has more.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Shinghi Detlefsen, one of the Founders of theAmerican Ecommerce Business Alliance AEBA fighting free and fair marketplace, CEO and Co-Founder of ExpandFi, and President of Wholesome Story and one of the most successful supplement brands on the Amazon.Shinghi isn't just another SaaS founder he's a true operator who has built, scaled, and optimized real brands at a high level. His expertise goes deep into what really drives sustainable growth:money, systems, and people.Highlight Bullets> Here's a glimpse of what you would learn…. Challenges of unfair competition from foreign sellers on Amazon, particularly in the supplement category.The importance of regulatory compliance for foreign sellers using U.S. infrastructure.Strategies for increasing Amazon advertising spend while maintaining profitability.Measuring customer lifetime value (LTV) and optimizing customer acquisition costs (CAC) on Amazon.Driving external traffic to Amazon product pages through targeted advertising on social media platforms.The significance of building a legitimate brand versus relying on short-term marketing hacks.Navigating Amazon's fee increases and the impact of a strong brand on pricing strategies.The role of AI in e-commerce, including its applications in data analysis and task automation.The importance of financial discipline and risk management in e-commerce operations.Key action items for e-commerce sellers, including advocacy for marketplace fairness and focusing on core business fundamentals.In this episode of the Ecomm Breakthrough Podcast, host Josh Hadley speaks with Shinghi Detlefsen, Amazon expert and founder of the American E-commerce Business Alliance. Shinghi discusses the regulatory disadvantages U.S. sellers face against foreign competitors, explains his data-driven approach to maximizing Amazon ad spend using customer lifetime value metrics, and emphasizes building authentic brands over chasing short-term tactics. The conversation also covers AI's practical role in e-commerce, financial discipline, and the importance of staying focused on core business fundamentals rather than distractions.Here are the 3 action items that Josh identified from this episode:Scale ads based on profit, not fear Track CAC vs. 12-month profit (LTV)—if it's profitable, increase ad spend (even +50%) to capture more customers and defend your rankings.Build a real brand (your only long-term moat) Invest in product quality, content, and trust-building (reviews, influencers, external traffic) so you can charge premium prices and stay resilient.Use AI to save time, not replace strategy Automate admin and data analysis, but keep human control over ads, creatives, and growth decisions where nuance matters most.Timestamps:00:00:00 Introduction and Setting the StagePodcast intro, host and guest introductions, and overview of the episode's focus on e-commerce scaling and Amazon.00:02:38 The ABA and Regulatory Disadvantages for US SellersShinghi explains the American E-commerce Business Alliance and the regulatory/tax advantages foreign sellers have on Amazon.00:07:06 How to Get Involved with ABA and the Bigger PictureDiscussion on actionable steps for US sellers to support ABA and why regulatory change matters more than minor Amazon policy changes.00:08:18 The Consequences of Losing US Brands and ManufacturingExplains the broader economic risks if US brands and manufacturing are lost to foreign competitors.00:10:04 Doubling Amazon Ad Spend ProfitablyShinghi shares how he doubled Amazon ad spend without losing profitability, counter to common industry trends.00:11:19 Why Amazon Remains the Best ChannelDiscussion on consumer shopping behavior and why Amazon is still the dominant platform for most buyers.00:12:37 Optimizing Ad Spend with Customer AnalyticsExplains using data to determine optimal ad spend, focusing on maximizing 12-month contribution profit per customer.00:15:32 Customer Lifetime Value and Profitability MetricsHow to track and use LTV and lifetime profit on Amazon, and why these metrics matter more than ACoS/TACoS.00:17:23 External Traffic and Meta Ads Direct to AmazonStrategy of sending Meta (Facebook/Instagram) ad traffic directly to Amazon product pages for better results.00:19:18 Brand Building vs. Short-Term HacksWhy building a real brand with solid fundamentals outperforms chasing short-term hacks or black-hat tactics.00:20:14 Mindset Shift: From Transactional to Lifetime ValueEncourages Amazon sellers to focus on CAC:LTV ratios and long-term customer value, not just single-sale profits.00:22:48 Education and Data-Driven Decision MakingImportance of learning business fundamentals and using customer analytics to drive growth.00:24:25 Amazon Fee Increases and the Real Root ProblemWhy blaming Amazon for fee increases misses the point; the real issue is regulatory imbalance with foreign sellers.00:28:43 Brand Power and Pricing FlexibilityHow having a strong brand allows for price increases and resilience against Amazon's changing policies.00:29:40 AI in E-commerce: Hype vs. RealityDiscussion on the current state of AI in e-commerce, what's real, what's hype, and where to focus your time.00:30:07 Build vs. Buy: SaaS, AI Tools, and Time ValuePros and cons of building your own tools with AI vs. paying for SaaS; focus on time value and maintenance.00:33:51 Where AI Delivers the Most ValueAI's best use is interpreting large data sets, not replacing complex SaaS or business processes.00:35:27 Avoiding FOMO and Focusing on High-Value TasksAdvice to avoid distraction from shiny new tools and focus on automating admin tasks to free up time for growth.00:39:01 SaaS Innovation and Staying AheadWhy SaaS companies will quickly catch up to DIY solutions, and the importance of focusing on your core business.00:40:07 Final Thoughts: Build a Brand and Give BackEncouragement to build a real brand, take care of customers, and use success to contribute positively to the world.00:40:39 Three Action Items for E-commerce SuccessHost summarizes three key takeaways: fight for a fair marketplace, build a real brand, and avoid distractions.00:44:40 The Myth of Constant Product LaunchesChallenges the idea that always launching new products is the best growth strategy; focus on bestsellers and distribution.00:46:39 Risk Management and Financial AdviceAdvice on managing risk by investing conservatively outside the business and building a financial safety net.00:48:03 The Value of Financial Security for Better DecisionsHow having a financial cushion leads to better business decisions and peace of mind.00:48:42 Rapid-Fire Questions: Book, AI Tool, and E-comm LeaderShinghi shares his favorite business principle, AI tool (Claude), and recommends following Logan from Physician's Choice.00:50:10 Outro and Contact InformationHow to follow Shinghi, closing remarks, and end of the episode.Resources mentioned in this episode:Josh Hadley on LinkedIneComm Breakthrough ConsultingeComm Breakthrough PodcastEmail Josh Hadley: Josh@eCom...

Welcome to Wholesale Hotline Podcast (Wholesaling Inc Edition), where Brent brings unmatched energy and no-BS strategies straight from his own real-world wholesaling business to help you crush it in yours.Show notes -- in this episode we'll cover:Master cold calling, lead generation, and sales scripts to consistently close deals.You'll learn the latest on the most cutting-edge techniques—like PPC, texting, and automated follow-up systems.Learn how to build confidence, overcome objections, and dominate your local market.Brent shows how talking to people is the fastest, most direct path to wholesale success.Real-life case studies, role plays, and mindset shifts that turn hustle into high income.Please give us a rating and let us know how we are doing!➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖☎️ Welcome to Wholesale Hotline & TTP Breakout

Most marketing teams experiment with AI but never ship better work. Brendan Farnand, Co-founder and Chief Evangelist at Knak, spent the past year interviewing 100+ enterprise marketing teams—including OpenAI, Google, Stripe, and AT&T—to learn what separates AI experimentation from real output. He explains how marketing campaigns should function in the AI era, where AI actually helps versus where it breaks, and how to build on-brand campaign assets at scale without code or developer support.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most marketing teams experiment with AI but never ship better work. Brendan Farnand, Co-founder and Chief Evangelist at Knak, spent the past year interviewing 100+ enterprise marketing teams—including OpenAI, Google, Stripe, and AT&T—to learn what separates AI experimentation from real output. He explains how marketing campaigns should function in the AI era, where AI actually helps versus where it breaks, and how to build on-brand campaign assets at scale without code or developer support.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

It's episode 450 of Diabetics Doing Things — a milestone Rob almost forgets to mention until he's three topics deep. Fresh off Friends for Life in Orlando, he lays out what he calls the diabetes conference pyramid: the industry side (ADA, ADCES, ATTD, EASD) built for HCPs and brand messaging, and the community side, where Friends for Life stands alone as the one event he'd choose if he could only pick one. He also previews the upcoming Diabetes Legends Dallas clinic and makes his now-recurring case for why kids with diabetes belong on a team. Then Rob shifts from the conference circuit to something he's been quietly building: a searchable AI archive of every Diabetics Doing Things episode — all 450 of them — that surfaces clips, timestamps, and quotes on demand. He walks through a live demo, asking it about diabetes and mental health and watching it pull exactly the right moments from years of the show's back catalog. It's his first real answer to a question he's been sitting with: what do you actually build for people with diabetes when you have this much lived experience and the tools to use it. The back half gets more personal. Rob is wrapping a 90-day clinical trial on an unreleased insulin pump algorithm — a strange experience in handing over control of his own management — and talks candidly about what "locking in" has looked like lately: earlier mornings, journaling, lower-carb meals without the guilt spiral, and a real 30-day discipline streak. He closes with an unguarded account of the Diabetes Sangha meditation retreat he attended this spring, why the "woo-woo" label doesn't scare him off, and a new mental health resource from Omnipod and Calm worth knowing about. If you're weighing whether diabetes conferences are worth your time, curious what an AI trained entirely on this show can actually do, or just want to hear someone talk honestly about discipline and burnout without the performance — this one's worth the full listen. Chapters 00:00 Episode 450 and fresh Friends for Life recap 02:22 Mapping the diabetes conference pyramid: industry side 05:41 Why Friends for Life beats every other conference 08:20 TCOID, Connected in Motion, and Camp Diabetes 11:07 Diabetes Legends Dallas and youth sports advocacy 14:41 Insulin Sensitivity Playbook recap and fan-favorite guests 17:02 Unveiling the DDT AI archive (live demo) 22:00 Personal update: the 90-day clinical trial 25:51 Locking in: mornings, journaling, and low-carb peace 28:21 Inside the Diabetes Sangha meditation retreat 30:52 Omnipod x Calm partnership and mental health resources 32:46 What's coming next and how to find Rob

There's a word for what happened when you became a mother.It's called matrescence. And it's the neurological, hormonal and identity transformation that happens when you have a baby — as significant as adolescence. And almost nobody teaches it.Which means most moms are walking around thinking something is wrong with them. That they're lazy. That they lost their edge. That the woman they were before is gone.She's not gone. Your brain was rewired. And there's a difference.This episode is the science behind what actually happened — and how to build a business that works with your biology instead of against it.IN THIS EPISODE— Matrescence: the word you needed and why understanding it changes everything about how you see yourself as a mother and a builder— Dr. Stephen Porges' Polyvagal Theory and neuroception — why your nervous system is running a vigilance program 24 hours a day and why it never fully switches off after you have a baby— Why creative thought, complex decisions and ambition feel harder after having a baby — and why that's not weakness, it's neuroscience— The difference between burnout and safety — and why most high achieving moms mistake arrival for laziness— Why you cannot think your way out of a biological response — and how systems, simplicity and AI change everything— What building around your biology actually looks like — and why the most present version of you is also the most powerfulYou haven't lost your ambition. Your brain is doing exactly what it was designed to do. The women who understand that — and build around it — are the ones who make it look easy.

Every employee at your company probably has ChatGPT, Claude, and Gemini installed, and nobody's tracking what data goes where. Xia Hua, co-founder and CEO of Traceforce, came back a year after her first appearance to show us what that looks like from the inside. Her team's open source scanner, MCP X-Ray, found a prompt injection flaw in Playwright, one of the most widely used MCPs, and she triggered it live with a single sentence. We also get into Anthropic's report on the espionage campaign that used Claude and a set of MCPs against about 30 organizations. And the bigger problem underneath it all, that data and instructions are now co-mingled, so any tool that reads text can be told what to do by that text. Xia: www.linkedin.com/in/xia-hua-ph-d TraceForce: www.traceforce.ai MCP X-Ray: www.github.com/traceforce/mcp-xray Jon: www.linkedin.com/in/jon-mclachlan Sasha: www.linkedin.com/in/aliaksandr-sinkevich YSecurity: www.ysecurity.io

When Andrea Palacio stepped into the unfamiliar home services industry as an inexperienced founder, disaster struck almost immediately. A rogue manager quit after convincing 10 employees to leave, top clients walked away, and monthly revenue plummeted from $70,000 down to $40,000—all while Andrea was pregnant with her second child and raising an eight-month-old.With zero technical background and no trade experience, Andrea refused to give up. Armed with YouTube tutorials and sheer grit, she taught herself how to build custom AI automations using Claude Code to save her struggling business. Today, her landscaping company generates over $1 million a year, operates seamlessly on autopilot, and runs so effectively without her daily involvement that she recently turned down an offer to sell it.In this episode of the UpFlip Podcast, Andrea sits down with Ryan Atkinson to reveal how a first-time operator replaced tedious manual tasks with custom AI agents—from 24/7 AI voice receptionists and automated invoice follow-ups to hands-free Google Ad optimization.What You'll Learn in This Episode:The Time & Energy Audit: How to analyze your weekly schedule as a new founder to pinpoint the exact manual, repetitive tasks you should delegate to AI first.Hands-Free Google Ads: How connecting Claude directly to your Google Ads campaign slashes your cost-per-click and replaces $4,000/month marketing agencies.The AI Receptionist & Invoice Chaser: How Andrea built automated AI voice agents to answer missed calls, book appointments directly into calendars, and follow up on past-due invoices.Automating 5-Star Reviews: The exact post-service automation workflow that sends instant, time-stamped photos to clients and drives a consistent stream of 5-star Google reviews.One Tool to Rule Them All: Why you don't need to master dozens of complex AI tools, and why focusing deeply on one platform (like Claude) is all it takes to transform your operations.Tags: Service & Consulting, Home Services, Business scaling, Home Services, AI, Landscaping, AutomationResources:The only thing worse than never starting a business… is starting the wrong one. That's why we created the UpFlip Assessment. It's a free tool that matches you with business ideas based on your skills, budget, experience, goals, and the kind of work you actually want to do. The results are scary accurate. Click the link in the show notes to see your best-fit business ideas in seconds — for free.UpFlip Assessment Tool:  https://accelerator.upflip.com/assessment Follow Our Second Channel Here: https://next.upflip.com/spotify Connect with Andrea: https://www.instagram.com/andreapalacio/?hl=en

Jasim Eisa is the founder and CEO of Voadera, a global e-commerce partner helping brands win on Amazon and other online marketplaces. He built the company from selling used books at 15 into a 150-person operation managing over 30,000 SKUs and driving $100M+ in sales. Through Voadera's Marketplace Accelerator, he helps brands fix broken listings, eliminate unauthorized sellers, and scale profitably with full-service marketplace execution. He is on a mission to help great products achieve the dominance they deserve online.Highlight Bullets> Here's a glimpse of what you would learn…. Challenges of margin compression on Amazon and strategies for adaptation.Importance of operational efficiencies and cost savings for scaling e-commerce businesses.Tactics for reducing operating expenses, particularly in supply chain management.The significance of procurement strategies and direct sourcing from manufacturers.Shipping cost optimization through density and packaging strategies.Fulfillment strategies, including the use of FBA versus third-party logistics.Marketing efficiencies focused on organic ranking and conversion rate optimization.Increasing customer lifetime value (LTV) through various promotional strategies.The role of AI in enhancing operational capacity and workflow efficiency.Key performance indicators (KPIs) for tracking business metrics and ensuring team alignment.In this episode of the Ecomm Breakthrough podcast, host Josh Hadley sits down with Jasim Eisa, founder and CEO of Voadera, to discuss scaling e-commerce businesses profitably on Amazon. Jasim shares how his team achieved nearly $820,000 in operational savings through supply chain optimization, smarter procurement, and shipping density improvements. The conversation also covers marketing efficiencies, coupon strategies to boost customer lifetime value, reimbursement recovery, and practical AI applications. Jasim emphasizes that as brands scale, small per-unit savings compound significantly, making operational efficiency as important as growth.Here are the 3 action items that Josh identified from this episode:Stack Small Wins Relentlessly Audit every step of your operations and implement micro-improvements (e.g., packaging, shipping, processes). Small savings per unit compound into massive annual gains. Optimize for Profit, Not Just Growth Regularly review SKU-level profitability, Amazon fees, and inventory levels. Shift focus to efficiency as you scale—margin control is the new growth lever. Use Data to Drive Conversions & LTV Double down on high-converting keywords, continuously test PDPs and coupons, and implement strategies like Subscribe & Save and bundling to increase repeat purchases.Timestamps:00:00:00 Introduction & Cost-Saving InitiativeJasim discusses a major initiative to cut $1 million in operational expenses, focusing on supply chain efficiencies.00:00:24 Podcast Introduction & Guest BackgroundHost introduces the podcast, Jasim Eisa, and his experience scaling an e-commerce business to $100M+ in revenue.00:01:43 Managing Large-Scale Amazon OperationsDiscussion on managing 30,000 SKUs and the complexities of large-scale Amazon selling.00:02:07 Amazon's Evolving Marketplace & Margin CompressionExploring margin compression, Amazon's profit-maximizing changes, and how brands must adapt to new fee structures.00:04:26 When to Focus on Growth vs. Operational OptimizationAdvice for brands on prioritizing top-line growth versus operational cost optimization, depending on business maturity.00:07:30 Leverage in Cost Savings: High-Volume ProductsHow optimizing costs on high-volume SKUs yields significant savings, and the importance of leverage as brands scale.00:08:37 Operational Savings Strategies OverviewJasim outlines the philosophy of achieving savings through many small improvements rather than one big change.00:09:03 Procurement & Cost of Goods OptimizationTactics for reducing product costs by eliminating middlemen and running RFPs to manufacturers.00:10:40 Shipping & Supply Chain OptimizationStrategies for shipping cost reduction, including RFPs for freight, optimizing packaging density, and leveraging Amazon programs.00:13:43 Shipping & 3PL Strategy RecommendationsHigh-level recommendations for shipping from China and choosing between Amazon's logistics and 3PLs.00:15:17 Optimizing FBA Fees & Inventory ManagementBest practices for managing FBA storage, inbound placement fees, and maintaining optimal stock levels.00:17:01 Freight Forwarders vs. AGL RatesComparison of AGL and freight forwarder rates, and when to use each based on business size and shipment volume.00:17:53 Marketing Efficiency: Organic Ranking & ConversionHow aligning SEO, creative, and marketing teams to target high-converting keywords saves money and boosts organic ranking.00:21:39 AOV & LTV Strategies on AmazonIncreasing average order value and lifetime value through coupons, multi-basket analysis, and subscribe & save tactics.00:24:47 Stackable Coupons & Tactical PromotionsUsing stackable and visible coupons to increase conversions, with caveats for premium brands.00:26:02 Ships-in-Product-Packaging & ReimbursementsCost savings from shipping in product packaging and maximizing Amazon/Walmart reimbursements and recovery.00:28:39 KPIs & Data Tracking for Operational EfficiencyKey metrics tracked at leadership and departmental levels to ensure efficiency and profitability.00:30:59 Counter Metrics & Avoiding Operational PitfallsImportance of pairing KPIs (e.g., revenue vs. profit, in-stock rate vs. months on hand) to avoid unintended consequences.00:32:43 Team Structure & KPI ManagementHow leadership and teams use KPIs, Google Sheets, and the Traction framework to manage performance.00:34:33 AI in E-commerce OperationsCurrent state of AI in e-commerce, realistic expectations, and how AI is integrated into specific workflows.00:35:54 AI Use Cases: Creative, SEO, and Product DevelopmentExamples of AI increasing creative output, improving SEO, and aiding product development through contextual prompts.00:39:27 AI vs. Human Labor: Cost-Benefit AnalysisDiscussion on when AI automation is cost-effective versus when human or VA labor is preferable.00:41:08 Final Takeaways & Action ItemsThree actionable takeaways: focus on high-impact savings, optimize high-volume SKUs, and leverage AOV/LTV strategies on Amazon.00:44:04 Book, AI Tool, and Influencer RecommendationsJasim shares his most influential books, favorite AI tool use cases, and respected figures in the e-commerce space.00:46:08 Contact Information & Episode Wrap-UpHow to connect with Jasim Eisa and closing remarks from the host.Resources mentioned in this episode:Josh Hadley on LinkedIneComm Breakthrough ConsultingeComm Breakthrough PodcastEmail Josh Hadley: Josh@eCommBreakthrough.comTools and Websites  "Voadera": "00:01:43"  "AGL (Amazon Global Logistics)": "00:11:17"&nb...

Jeetu Patel, Cisco president and chief product officer, talks about an upcoming AI tool named '"Antares" that will be used to hunt down software bugs and protect sensitive customer data. He also talks about the recent security breach at Hugging Face by OpenAI models and how companies can protect themselves. Patel speaks with Bloomberg's Jonathan Ferro, Annmarie Hordern, and Lisa Abromowicz on Bloomberg Surveillance.See omnystudio.com/listener for privacy information.

Scents can transport you to a place, remind you of a person or experience. But imagine if you could reverse engineer that, and give AI the memory and ask it to create a perfume to trigger that selected memory. It's an idea that took three University of Auckland engineering students to Paris for the L'Oreal youth innovation contest, Brandstorm. Engineering student Mihir Ojas Rallapudi spoke to Lisa Owen.

Evan Dash is the CEO of StoreBound and Author of the best-selling book, A Dash of Good: How to Turn a Business Based on Values into a Valuable Business. Evan's journey took him from firefighter to business executive before becoming a household name in the kitchenware industry. Alongside his wife Rachel, they launched DASH, their namesake kitchenware brand. Under Dash's leadership, the company skyrocketed to success, achieving sales of over $1 billion in sales and becoming the world's largest producer of waffle makers, popcorn poppers, and egg cookers, with over 100 million units sold. Before its 10th anniversary, Dash negotiated a majority sale of his company to Groupe SEB, the $8 billion global leader in the housewares industry.Highlight Bullets> Here's a glimpse of what you would learn…. Entrepreneurial journey from firefighter to CEO of a billion-dollar kitchenware brand.Transition from corporate retail experience to founding a business.Importance of a retail-first strategy versus direct-to-consumer approaches.Challenges faced in retail, including inventory management and product-market fit.The significance of a caring company culture and hiring practices.Strategies for DTC brands entering the retail space.The role of AI in enhancing business operations and creativity.Partnership dynamics in business, particularly with a spouse.Lessons learned from early failures and successes in product launches.Emphasis on building trust and relationships with customers and retailers.In this episode of the Ecomm Breakthrough Podcast, host Josh Hadley interviews Evan Dash, CEO of StoreBound and founder of Dash kitchenware. Evan shares his unconventional journey from firefighter to entrepreneur, building a brand that surpassed $1 billion in sales. He discusses leveraging brick-and-mortar retail expertise, the importance of a content-first strategy, and hiring people who genuinely care. Evan also highlights his partnership with his wife Rachel, strategies for DTC brands entering retail, and AI's growing role in business operations.Here are the 3 action items that Josh identified from this episode:Start where you have an unfair advantage Leverage your existing expertise, network, or channel (retail, DTC, etc.) instead of blindly following trends. Validate demand before scaling Use tools like crowdfunding, small test runs, or pilot launches to confirm product-market fit and reduce inventory risk. Treat retail like a different business If entering brick-and-mortar, master pricing, margins, cash flow, and logistics—don't assume your DTC playbook will work.Timestamps:00:00:00 Introduction and Setting the StageEvan discusses generational shifts in kitchenware preferences and the initial marketing approach for Dash.00:00:22 Podcast IntroductionHost introduces the E-com Breakthrough Podcast and sets up the episode's focus.00:00:35 Guest Introduction: Evan Dash's BackgroundEvan's journey from firefighter to CEO, and the founding of Dash kitchenware.00:01:51 Personal Connection and Product RecognitionHost shares personal experience with Dash products and introduces the main interview.00:02:19 Evan's Entrepreneurial JourneyEvan recounts his unconventional path from firefighting to retail and business.00:04:01 Lessons from Retail and E-commerce EvolutionEvan discusses his retail background, the fall of legacy brands, and the rise of e-commerce.00:05:57 Transition from Corporate to EntrepreneurshipEvan explains how being fired led him to start his own business with his wife.00:07:45 Working with a Spouse: Partnership InsightsEvan and the host discuss the dynamics and benefits of building a business with their wives.00:10:02 Travel and Business Partnership BenefitsEvan shares the advantages of traveling and working closely with his spouse.00:11:21 Launching Dash: Retail-First StrategyEvan explains why Dash started with a retail-first approach and the challenges faced.00:12:11 Early Product Experiments and Brand NamingEvan describes initial product ideas, licensing, and the decision to use his last name for the brand.00:14:30 Content-Driven Brand BuildingDash's early focus on content creation, social media, and appealing to younger consumers.00:16:37 Retail Placement and Cash Flow ChallengesHow Dash leveraged retail relationships for credibility and managed cash flow pressures.00:17:47 Retail Flywheel and Industry FOMOThe impact of early retail success and how it led to more opportunities.00:18:35 Product Flops and Risk MitigationEvan discusses product failures, the importance of sell-through, and strategies to minimize risk.00:22:07 Crowdfunding and Retailer RelationshipsUsing Kickstarter/Indiegogo to test products and proactively managing retailer relationships.00:24:30 Advice for DTC Brands Entering RetailEvan's recommendations for DTC brands looking to expand into retail.00:25:08 Learning New Channels and Building ExpertiseThe importance of becoming an expert in new sales channels and hiring for knowledge gaps.00:27:02 Brokers vs. Direct Outreach in RetailPros and cons of using brokers versus direct outreach for retail expansion.00:28:14 Focus, Time Management, and Agency PitfallsThe risks of losing focus, the value of time, and challenges with agencies.00:29:37 Hiring Smart People and Building TeamsHow hiring smarter people and building strong teams drives business growth.00:30:36 Culture of Caring and Core ValuesEvan's approach to company culture, hiring for care, and building a values-driven organization.00:34:15 Defining “Care” in Company CultureWhat “care” means at Dash and how it's embedded in the company's DNA.00:35:16 Empowerment, Trust, and Winning HeartsPairing care with empowerment, trust, and a focus on winning hearts internally and externally.00:38:20 Culture as a Competitive AdvantageHow culture and core values translate to consumer experience and business success.00:39:16 AI in Business: Human vs. AutomationEvan's perspective on AI, its role in efficiency, and why humans remain central.00:40:17 AI as a Multiplier, Not a ReplacementHow Dash is adopting AI to boost productivity while maintaining a human-centric approach.00:41:28 Final Thoughts and Book RecommendationEvan recommends his book and offers to connect with listeners.00:41:49 Three Actionable TakeawaysHost summarizes key lessons: domain expertise, caring culture, and hiring smart people.00:45:08 Rapid-Fire Questions: Book, AI Tool, InspirationEvan shares his favorite book, AI tools, and sources of inspiration in CPG and fashion.00:48:34 Closing and Contact InformationHow to connect with Evan and Dash; episode wrap-up.Resources mentioned in this episode:Josh Hadley on LinkedIneComm Breakthrough ConsultingeComm Breakthrough PodcastEmail Josh Hadley: Josh@eCommBreakthrough.comTools and Websites"Kickstarter": "00:23:27""Indiegogo": "00:23:27""ChatGPT": "00:46:15"Books"

State of the Bay sits down with Gretchen Carlson to learn about a new AI tool, explores whether California's new housing laws override local control, and visits the dog surfing world championships.

In this episode, I'm taking a hands-on look at three strategic ways to use NotebookLM to prepare for your next job interview. I'll walk you through each step, share real examples of AI-generated interview materials I've created, and even play a quick samples so you can hear what's possible.NotebookLM is a free AI tool that can help you turn job descriptions, company research, and your resume into personalized interview prep. I've included the link to NotebookLM below, along with the exact prompt I used to generate an audio interview summary that helped me prepare for one of my own interviews.NotebookLM Website: https://notebooklm.google/ Prompt for audio overview: "Make this an audio overview of how {your name} is the perfect fit for the {Role title at company name} based on her background and work examples."Prompt for video overview (select "Explainer" and "Whiteboard"): "Frame the content as a guide for acing a {job title at company name} interview."I hope this episode saves you time, helps you prepare smarter, and gives you the confidence boost of hearing an AI audio overview all about why you're an absolute baddie for the job.Good luck, girl!

The Education Brief: Wednesday 15 July 2026 - Top stories include:Pearson's nine-day SATs delay is now spilling into the summer holidays.The DfE is consulting on plans to shift SEND funding directly into mainstream school budgets.NAHT issued guidance warning schools about accepting delegated healthcare tasks.A new report has recommendations for the Burnham government about schools.Deep Dive: 2025-2026: The Year in ReviewHEP Updates:Get your HEP CPD Package here: https://haringeyeducationpartnership.co.uk/professional-development-at-hep/Watching - https://www.irishnews.com/life/how-to-talk-to-children-about-upsetting-stories-and-fake-news-UQ6HAL6WM5LS3J5AJ7UUE4GTAU/ Listening - https://www.ucl.ac.uk/ioe/news/2026/jun/teaching-fully-inclusive-classrooms-staffroom-s06e07 Reading - https://educationendowmentfoundation.org.uk/education-evidence/inclusive-teaching AI Tool - https://claude.ai/new ; https://openai.com/index/gpt-5-6/⁠Music by Slo Pony⁠

Joining us today is Lyden Smithers — President and Co-Founder of Titan Network, one of the most exclusive communities for high-level Amazon sellers in the world.Lyden isn't just teaching e-commerce  he's actively building and scaling brands, sourcing at a high level from China, and helping sellers bridge the gap from 7 to 8 figures and beyond.Lyden leads the China Magic trip and is one of the best.Highlight Bullets> Here's a glimpse of what you would learn…. Importance of building strong relationships with suppliers, especially manufacturers in China.Strategies for negotiating favorable payment terms to improve cash flow and scale e-commerce businesses.Cultural aspects of negotiation in China, including the significance of face-to-face interactions.Techniques for presenting oneself as a trustworthy partner to suppliers.Handling common objections from suppliers regarding payment terms and cash flow limitations.The role of order volume and growth potential in negotiating better terms.Preparing effective presentations for suppliers, focusing on trust and mutual benefits.Managing challenges such as tariffs, raw material price increases, and currency fluctuations in supplier negotiations.The significance of granular supply chain management and cost optimization.Key takeaways for sellers on the importance of supplier relationships and negotiation strategies.In this episode of the Ecomm Breakthrough podcast, host Josh Hadley sits down with Lyden Smithers, president and co-founder of Titan Network, to discuss how Amazon sellers can scale from seven to eight figures by mastering supplier relationships. Lyden shares strategies for negotiating favorable payment terms with Chinese manufacturers, emphasizing the cultural importance of face-to-face meetings and the concept of guanxi. He explains how leveraging order volume growth creates win-win partnerships, how to handle common supplier objections, and how granular supply chain management drives profitability, even amid tariffs and rising costs.Here are the 3 action items that Josh identified from this episode:Shift Your Mindset:Treat your supplier as your most important business partner. Invest in the relationship for long-term mutual gain.Negotiate Payment Terms First:Use your growth potential as leverage. Better terms unlock cash flow and growth; price reductions are easier to secure afterward.Show Up in Person:Face-to-face meetings build trust and open doors that emails and messages can't. Attend trade shows, visit factories, and invest in guanxi.Timestamps:00:00:00 Negotiation Culture in ChinaLyden discusses negotiation as a cultural norm in China and encourages not being afraid to ask for better terms.00:00:25 Podcast Introduction & Guest BackgroundHost introduces the podcast, Lyden Smithers, and the focus on supplier relationships and payment terms.00:02:33 Unlocking Growth Through Payment TermsLyden shares his journey negotiating payment terms, emphasizing cash flow's role in scaling e-commerce brands.00:03:47 Cash Flow Constraints & Supplier RelationshipsDiscussion on how cash flow limits growth and the importance of leveraging supplier partnerships for better terms.00:05:08 How to Approach Payment Term NegotiationsLyden explains the importance of positioning negotiations as win-win and painting a long-term partnership vision.00:06:03 Building Trust and Presenting ValueAdvice on showcasing growth, expertise, and reliability to suppliers to secure better terms.00:06:48 Partnerships vs. TransactionsLyden illustrates the difference between transactional relationships and true partnerships with suppliers.00:08:08 Negotiating with New ManufacturersGuidance on starting negotiations with new suppliers and the importance of face-to-face interactions.00:08:36 Face-to-Face Negotiation & GuangxiExplains the concept of Guangxi (relationship) and how in-person meetings unlock better terms.00:10:01 Alternatives to In-Person NegotiationDiscusses insurance and financing options for payment terms, but stresses the value of direct negotiation.00:12:07 Preparing for Supplier MeetingsTips on creating effective presentations and understanding your cash flow before negotiating.00:13:01 Structuring Your Pitch to SuppliersHow to present growth, market access, and order forecasts to make your offer compelling.00:15:06 Handling Modest Growth ScenariosStrategies for negotiating when you can't promise large order increases, including leveraging competition.00:17:05 Leverage and Good Cop/Bad Cop TacticsUsing competitor quotes and internal “bad cop” strategies to strengthen your negotiation position.00:19:11 Common Supplier ObjectionsHow to handle supplier pushback, especially regarding their own cash flow limitations.00:20:39 Navigating Tariffs and Market UncertaintyImpact of tariffs and market changes on supplier willingness to offer terms, and the importance of ongoing relationships.00:22:16 Switching Suppliers for Better TermsHow to use established business volume as leverage when seeking new suppliers at trade fairs.00:24:06 Realistic Payment Terms to NegotiateTypical payment terms to aim for (e.g., 10% deposit, 90% at 90–120 days), and negotiation tactics.00:26:42 Advanced Payment Term StrategiesCreative solutions like suppliers borrowing to fund orders, and adjusting deposits versus days for compromise.00:29:00 Overcoming Language BarriersBest practices for communicating with suppliers, including using translators and clear, simple presentations.00:30:46 Managing Price Increases & Cost OptimizationApproaches to handling price hikes, currency fluctuations, and optimizing unit economics.00:33:44 Granular Supply Chain OptimizationDetailed strategies for reducing costs across packaging, shipping, and storage to maximize profitability.00:36:16 Negotiation Sequence: Terms Before PriceAdvice to always negotiate payment terms before discussing price reductions for maximum leverage.00:37:02 Immersing in Manufacturing & Continuous ImprovementEncouragement to understand the manufacturing process deeply and always ask “why” to uncover savings.00:38:07 Actionable Takeaways RecapHost summarizes three key actions: prioritize supplier relationships, negotiate terms before price, and show up in person.00:41:00 Book, AI Tool, and Influencer RecommendationsLyden shares his favorite book (Traction), AI tool (Alibaba's Accio), and e-commerce influencer (Kevin King).00:44:03 Contact Information & ClosingLyden provides ways to connect, and the episode concludes with closing remarks.Resources mentioned in this episode:Josh Hadley on LinkedIneComm Breakthrough ConsultingeComm Breakthrough PodcastEmail Josh Hadley: Josh@eCommBreakthrough.comTools and Websites  "

A structural shift is occurring as employees and customers increasingly bypass sanctioned IT systems in favor of faster, unsanctioned "shadow" tools that offer comparable or "good enough" functionality with less friction. This shift is highlighted through evidence from Gartner, SparkToro, Microsoft, and reports from Altran Digital Business, which collectively show sanctioned internal and customer-facing systems losing relevance as users opt for alternative solutions that optimize convenience and efficiency over formal governance. The most consequential development referenced is Microsoft's move to replace premium OpenAI and Anthropic models in core applications like Excel and Outlook with lower-cost in-house models, as reported by Bloomberg and Channel Insider. Microsoft claims these new models offer similar accuracy with increased efficiency, reflecting a broader market trend toward solutions that meet minimal functional thresholds at drastically reduced costs. This mirrors broader enterprise behavior, where cost and sufficiency now outweigh premium features, driving a reconsideration of value in AI provisioning. Supporting developments include a Gartner survey showing consumers are about three times more likely to use general AI tools like ChatGPT than corporate chatbots, and a report from Altran Digital Business revealing that over half of employees rely on personal devices or unauthorized tools for work, with nearly a third ceasing to report IT problems entirely. Clickstream data shows that more than two-thirds of Google searches end without a click as users accept AI summary answers, bypassing source links altogether. Vendors such as N-Able and Okta are responding with new products aimed at identifying and gating shadow tool usage, but these approaches often add operational friction without actually closing governance gaps, as Kaseya data indicates most SaaS accounts remain unmanaged despite existing controls. For MSPs and IT leaders, the key implication is that additional controls and "lockdown" measures are likely to increase friction without effectively steering users back to sanctioned processes. Current market tools that focus on visibility and gating of shadow IT may exacerbate the problem by making official workflows less attractive. The practical recommendation is to map where users have already abandoned sanctioned paths and focus on improving those official workflows until they are easily usable and competitive with shadow alternatives. The effectiveness of service delivery should be measured not by control metrics, but by whether users actively choose sanctioned systems for their work.   00:00 The quiet walkout  03:49 Even Microsoft picked good-enough 06:22 Why more control backfires 09:00 Why Do We Care?  Supported by:  Pax8   

In today's episode, Brock Johnson walks through a workflow built around Poppy AI that solves one of the most common bottlenecks in content creation — turning inspiration into action. Most creators scroll, save posts, and never do anything with them. This system changes that by automating the gap between finding content you like and actually producing your own version of it.The workflow starts with saving posts to a Google Sheet via an iOS shortcut, which Claude then pipes into Poppy AI daily. From there, Poppy extracts the reusable elements from each saved post — the format, hook, style, and script structure — and drafts a version tailored to your niche. You review, approve, and refine before filming and editing. Your taste stays in the loop; the bottleneck gets removed. Watch On YouTube 

In this episode of Everything is Logistics, Blythe talks with Sarit Tamir, CEO and co-founder of Seeteria, about how computer vision is helping warehouse teams find lost time inside their operations.SeeTeria is a software-only company that connects to existing CCTV cameras inside warehouses, distribution centers, fulfillment centers, and 3PL facilities. The platform watches floor activity, detects operational friction, and sends real-time alerts to teams before small problems turn into bigger delays.They cover:Why warehouse teams still miss what happens between system scansHow existing CCTV cameras can become an operational visibility toolWhat dock queues, idle doors, dwell time, staging congestion, and near-misses revealWhy the “messy middle” of warehouse operations adds up quicklyHow real-time alerts help floor teams act fasterHow managers can use shift summaries to find recurring patternsWhy the goal is to support warehouse workers, not replace themThis conversation is part of the CargoRex AI Use Cases in Logistics guide, featuring real examples of how logistics companies are using AI across freight, warehousing, procurement, visibility, and operations.Read the full guide here:https://cargorex.io/research/ai-use-cases-in-logistics/LINKS:SeeTeria:https://seeteria.comCargoRex AI Use Cases in Logistics Guide:https://cargorex.io/research/ai-use-cases-in-logistics/ -----------------------------------------THANK YOU TO OUR SPONSORS!SPI Logistics has been a Day 1 supporter of this podcast which is why we're proud to promote them in every episode. During that time, we've gotten to know the team and their agents to confidently say they are the best home for freight agents in North America for 40 years and counting. Listen to past episodes to hear why.CargoRex is the search engine for the logistics industry—connecting LSPs with the right tools, services, events, and creators to explore, discover, and evolve.Digital Dispatch maximizes and manages your #1 sales tool with a website that establishes trust and builds rock-solid relationships with your leads and customers. 

Not sure which AI tool actually fits your business? This episode breaks down ChatGPT, Claude, and Gemini — what each one does best, real small business examples for coaches, consultants, and service providers, and why the smartest entrepreneurs are using all three together instead of picking just one.

Joining me today is John Li, the co-founder of PickFu, a powerful consumer-feedback platform that helps e-commerce sellers, authors, app developers, and marketers make smarter, data-driven decisions.Before launching PickFu, John spent years at Microsoft as a software engineer and program manager but his entrepreneurial curiosity led him to create a simple tool to test ideas with real people.That tool evolved into PickFu, now trusted by tens of thousands of Amazon sellers and brands to validate product images, packaging, and listings before they go live, saving them from costly mistakes and giving them the confidence to scale.John is a true advocate for taking the guesswork out of e-commerce growth, and today, he's here to share how feedback-driven testing can help you turn more browsers into buyers, and more ideas into 8-figure successes.Highlight Bullets> Here's a glimpse of what you would learn…. Importance of human validation in AI-generated content.Role of consumer feedback in eCommerce decision-making.Comparison of AI-generated images versus human-created images.New features of PickFu, including multi-question surveys and Amazon SERP mockups.Impact of main image testing on click-through rates (CTR) and sales.Iterative testing strategies for optimizing product images.Integration of AI tools in the testing process and their benefits.Case studies demonstrating ROI from using PickFu for image testing.Quality control measures for test respondents in consumer feedback.Additional use cases for PickFu beyond main image testing, such as product selection and packaging design.In this episode of the Ecomm Breakthrough Podcast, host Josh Hadley speaks with John Li, co-founder of PickFu, about using consumer feedback to make smarter eCommerce decisions. John explains how PickFu helps sellers validate AI-generated content through real human feedback, particularly for main product images, which drive 75% of click-through rates on Amazon. They discuss PickFu's newest features, including multi-question surveys, Amazon SERP mockups, and AI-powered insights. John shares compelling case studies demonstrating strong ROI from simple image tests, and outlines an iterative testing playbook to help sellers continuously optimize listings and scale their businesses efficiently.Here are the 3 action items that Josh identified from this episode:Test Before You Launch, AlwaysDon't rely on gut feel or AI alone.Run quick polls with real buyers to validate your main image, copy, and creatives before going live.Optimize Your Main Image RelentlesslyYour main image drives up to 75% of CTR. Treat it like your #1 growth lever. Test multiple variations, benchmark competitors, and iterate until you win.Build a Fast Feedback Loop (AI + Humans)Use AI to generate ideas fast, then validate with humans. Repeat this cycle quickly: create → test → analyze → improve to consistently outperform competitors.Timestamps:00:00:00 Introduction & Importance of Human Validation in AI EraDiscusses the need for real human feedback to validate AI-generated creative assets, especially for e-commerce images.00:00:29 Podcast Introduction & Guest BackgroundHost introduces the podcast, John Li, and PickFu's mission to help brands make data-driven decisions.00:02:13 Is PickFu Still Relevant in the Age of AI?Explores whether AI can replace human feedback and the continued importance of human validation for image testing.00:04:23 AI vs. Human-Generated Images: Performance InsightsCompares the effectiveness of AI-generated images versus human-created ones, emphasizing context and quality.00:06:04 PickFu Platform Updates & New FeaturesOverview of new PickFu features: multi-question surveys, Amazon SERP mockups, image stack, A+ content testing, and screen recording.00:08:31 Integration with AI Agents & MCP ServerExplains PickFu's MCP server, enabling users to run and analyze polls via AI chat agents like Claude and ChatGPT.00:10:02 Main Image Testing & Impact on Click-Through RateDiscusses the critical role of main image testing, its effect on CTR, and shares a case study of a failed launch turned successful.00:13:42 Iterative Testing Playbook for CTR OptimizationOutlines a step-by-step playbook for optimizing main images through iterative testing and competitive benchmarking.00:18:50 How to Structure and Automate Testing with AIDescribes how PickFu's AI features and MCP server help automate the testing process, including prompt engineering and image generation.00:20:33 Compounding Gains from Continuous TestingHighlights the value of frequent, automated testing for incremental improvements that compound over time.00:22:34 Future of E-commerce Creative Testing & AutomationDiscusses the vision for AI-driven, automated creative testing and the evolving role of humans in the process.00:23:54 Case Study: Simple Test, Big ROIShares a case where a single $85 PickFu test led to a 12.5% CTR increase and $3,800 in extra revenue.00:25:15 Who Should Own the Testing Process?Explores who in an organization should manage testing—owners, creative directors, or listing managers.00:27:28 Action Steps for Sellers New to TestingAdvice for sellers: benchmark against competitors, focus on top and mid-tier products, and optimize main images.00:29:31 Panel Quality & Validity of PickFu ResponsesExplains how PickFu ensures high-quality, valid consumer feedback and differentiates from competitors.00:32:13 Sleeper Use Cases: Product Selection & PackagingHighlights underutilized PickFu use cases like product selection, pricing validation, and packaging design.00:34:40 Actionable Takeaways & RecapHost summarizes three key action items: frequent main image testing, leveraging video tests, and preparing for AI-driven automation.00:37:10 Rapid-Fire Questions: Book, AI Tool, E-com InfluencerGuest shares his favorite book, AI tool, and a recommended e-commerce influencer to follow.00:38:35 Closing & Contact InformationProvides information on where to learn more about PickFu and how to connect with John Li.Resources mentioned in this episode:Josh Hadley on LinkedIneComm Breakthrough ConsultingeComm Breakthrough PodcastEmail Josh Hadley: Josh@eCommBreakthrough.comTools and Websites"PickFu": "00:01:57""Claude AI": "00:09:09""ChatGPT": "00:09:09""Nano Banana": "00:20:33"Books"

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop speaks with Ekaterina Matveeva, founder of Amolingua and Lingo Plus and co-organizer of AI roundtables with EcoCivilization. The conversation covers a wide range of AI-related topics, from the cultural implications of AI development across different countries to the evolution of Ekaterina's perspective on artificial intelligence—moving from initial anger and fear in 2023 to active participation in AI model design by 2025. They discuss the importance of including diverse cultural perspectives in AI training, the cross-country differences in AI regulation (comparing Argentina's human-out-of-the-loop approach to Europe's cautious stance), and the critical question of which sectors need humans in the decision-making loop. The discussion ventures into brain-computer interfaces and Neuralink, examining what happens when technology is removed and questioning whether healthy humans should pursue such enhancements, before touching on the future of personal AI models and the preservation of indigenous wisdom in AI training. You can connect with Ekaterina on LinkedIn to follow her work on AI, education, and cross-cultural technology development.Timestamps00:00 Stewart welcomes Ekaterina Matveeva, founder of Amolingua and Lingo Plus, discussing her work organizing AI roundtables with EcoCivilization05:00 Ekaterina shares her evolution from anger toward AI in 2023 to realizing collaboration potential, emphasizing importance of multicultural perspectives in AI development and training10:00 Discussion of Argentina's new AI liability bill creating human-out-of-loop systems, contrasting with Europe's human-in-loop requirements and different global regulatory approaches15:00 Safety considerations in robotics and AI development, comparing industrial automation standards across regions and discussing Pentagon's use of Anthropic with Palantir systems20:00 Exploring brain-computer interfaces and Neuralink developments, questioning enhancement versus necessity and examining motivations behind cognitive augmentation technologies25:00 Debating human capabilities beyond cognitive function, discussing nervous system, emotions, psychosomatics, and whether brain generates or receives thoughts30:00 Examining societal divisions from enhancement technologies, referencing Avatar and Years and Years series, questioning benefits for healthy individuals versus disability applications35:00 Discussing technological gaps between enhanced and standard populations, concerns about corporate seduction into cybernetic modifications, and lack of long-term safety studies40:00 Questioning who frames AI conversations and trains models, exploring dominant worldviews embedded in AI systems and Vatican-Anthropic collaboration implications45:00 Stewart shares mistakes with Facebook biometric data and building personal AI infrastructure, emphasizing importance of controlling your own models and data50:00 Analyzing whether massive data collection actually improves AI training, questioning if user conversations become buried garbage rather than meaningful model improvements55:00 Ekaterina discusses plans for organizing more roundtables, integrating indigenous wisdom into AI training, and connecting on LinkedIn for future collaborationsKey Insights1. Ekaterina Matveeva's perspective on AI has evolved significantly since 2023, moving from initial anger and fear about AI's impact on education and translation work to becoming actively involved in AI development and training. She realized that instead of resisting AI advancement, she could participate in shaping it by contributing her expertise in education, language, and cross-cultural communication. This shift represents a broader realization that diverse participation in AI development is crucial for creating more versatile and culturally sensitive models rather than allowing a monopoly of values from any single country or culture.2. The conversation highlights fundamental differences in AI regulation across regions, with Europe implementing human-in-the-loop requirements and comprehensive safety measures, while Argentina is reportedly creating frameworks for human-out-of-the-loop AI systems with limited liability. The United States falls somewhere between these approaches, pursuing rapid advancement with fewer regulatory constraints. These divergent approaches reflect different cultural values and priorities, raising important questions about whether AI development should prioritize efficiency and profit or human oversight and control in critical infrastructure sectors.3. Both speakers express concern about brain-computer interfaces like Neuralink, questioning the motivation behind enhancing cognitive abilities when humans already possess multiple forms of intelligence including emotional, cultural, and bodily intelligence. The primary applications demonstrated so far appear limited to video games and potentially military applications, raising questions about whether the technology serves genuine human needs or merely represents an attempt to compete with robots. The speakers emphasize that humans are already complete beings with sophisticated nervous systems, senses, and capabilities that extend far beyond cognitive processing.4. A critical insight emerges around the question of what happens when advanced technologies are removed or turned off. This applies both to brain-computer interfaces and to broader civilization infrastructure dependencies. The speaker shares experiences from 2020 of attempting to live independently in rural California, discovering the challenges of isolation and self-sufficiency. This relates directly to concerns about creating dependencies on technologies where the software ownership and control remain unclear, particularly when those technologies become integrated into human bodies or essential services.5. The discussion reveals concerns about increasing societal division based on access to enhancement technologies. Beyond existing financial inequalities, the speakers worry about a future where people who can afford biological and technological enhancements will advance rapidly while others are left behind. This isn't about disadvantaging certain groups but rather about creating an unbridgeable gap between enhanced early adopters and what they call standard populations who may be intelligent people maintaining traditional ways of life but lacking access to expensive enhancement technologies.6. Matveeva emphasizes the importance of including diverse cultural perspectives, particularly indigenous wisdom and Buddhist traditions, in AI training data. She argues that current AI models reflect the worldviews, values, and hierarchies of their predominantly Western designers, which influences the guidance these models provide to users worldwide. By incorporating wisdom traditions from various cultures, AI models could potentially become wiser and more culturally adaptive, serving diverse populations more effectively rather than imposing a single cultural framework globally.7. The speakers discuss the problematic nature of data collection and ownership in AI training, noting that massive amounts of user data may not actually be improving AI models as expected. There are indications that some AI companies are now specifically requesting users to help train models on their prompts, suggesting that simply collecting billions of conversations hasn't been as useful as anticipated. This raises questions about whether the data users have given away over the past several years has actually made significant impact or is simply buried in chunks of information that aren't effectively connected to meaningful improvements in AI performance.

Klaviyo has been rolling out something called Composer in beta - an AI agent that promises to build entire marketing campaigns from a single prompt. Audience, copy, design, segmentation, all of it. The promise is impressive. So I got access on a real client account and tested it myself. And my honest take is more nuanced than the hype - and more useful than the skeptics would have you believe. The short version: Composer is less an autonomous agent and more a really well-informed assistant. It knows your account data better than any outside AI tool could. It just still needs you. Where it genuinely surprised me was the data side - send time recommendations backed by actual account history, revenue per recipient, open rates by date, flagging which sends had enough volume to be statistically meaningful. That's marketing expert level analysis, and it's specific to your account in a way that ChatGPT or Claude simply can't replicate without a direct integration. Where it fell short was the creative side. The copy was functional but generic. The design pulled image slices from across the account that didn't really hang together. Getting it to feel on brand would have taken enough back and forth that I may as well have just written and designed it myself. In this episode I walk through exactly what happened when I tested it, what genuinely impressed me, where it still needs a human, and how to think about using it if you get access. ✨ In this episode, you'll learn: What Klaviyo Composer actually is and what it promises to do What happened when I tested it on a real client account with a real campaign prompt Why the creative output is a starting point, not a finished product The limitation that affects accounts where most emails are designed in Figma or Canva The one thing Composer did that genuinely surprised me - and why it matters Why the send time analysis is where this tool actually earns its place What to watch out for with the auto-populated segmentation suggestions How to think about the human vs. AI division of labor in your email program right now Let it handle the data. You handle the creative direction and strategy. That framing is really useful for anyone thinking about where AI fits into their email marketing going forward. Work with Joy Joya: https://joyjoya.com

There's a new tool for plumbers to help them search for accurate and up to date certification and plumbing standards, in the form of an AI tool called Toby.

LinkedIn has changed, and most coaches, consultants, and service professionals are still using an outdated playbook.The platform's AI is no longer rewarding hashtags, engagement pods, posting hacks, or chasing vanity metrics.Instead, it is rewarding clarity, expertise, relevance, and content that keeps people reading, saving, and coming back for more.What matters now?A profile that clearly explains who you help.Content focused on a specific topic.Strong opening lines that immediately signal relevance.Posts worth saving, not just liking.The good news is that coaches, consultants, and service providers already have the advantage.Your best content is hiding in your client conversations, sales calls, frameworks, success stories, and lessons learned.The goal is no longer to game the algorithm.The goal is to teach the people you are built to serve.And for the first time in a long time, LinkedIn's AI is rewarding exactly that.Don't forget to register for our FREE 3 Day "Clients On Command" LinkedIn Content Workshop here: https://www.thetimetogrow.com/LinkedInContentRoadmap

Links & ResourcesFollow us on social media for updates: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Check out our recommended tool: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Prop Stream⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Thank you for listening!

Have you ever struggled to explain what's happening in your relationship — where nothing looks "bad enough" to point to, but something feels wrong every single day? In this episode, I'm joined by Anne Wintemute, co-founder and CEO of Aimee Says, an AI companion built specifically for survivors of covert abuse, coercive control, and narcissistic partners. Anne spent years working directly with survivors navigating the family court system before she and her co-founder Steven asked a powerful question: could AI help survivors document, understand, and ultimately heal from what they'd been through? Today, Aimee Says has helped over 70,000 users do exactly that. We dig into how Aimee Says detects patterns like restricted autonomy, gaslighting, and coercive control — even when there's no single moment you can point to. You'll hear how it turns lived experience into visual data: bubble charts that reveal the shape of a relationship, timelines that show escalation, and "binders" that prepare survivors for mediation, court, or even just their next therapy session. We also cover how this is fundamentally different from a tool like ChatGPT, how privacy and legal protections work, and where Anne sees this technology heading in the next five years. If you've ever felt like you didn't have the language for what happened to you, or like no one would believe you without "proof" — this episode is for you. Find Aimee Says here. Use code RENEE for your first month free. The information provided by Renee Swanson, Covert Narcissism Podcast, and CNG Life Coaching is for educational purposes only and is not to be used for diagnosis purposes and not intended to be a substitute for clinical care. Please consult a health care provider for guidance specific to your case. This material discusses narcissism in general. Renee shares stories from her personal experiences as well as from those she has talked with for several years. Her material does not claim that any specific person has narcissism and should not be used to refer to any specific person as having narcissism. Permission is not granted to link to or repost this material to support an allegation or support a claim that any specific person is a narcissist. That would be an unauthorized misuse of the material and information provided. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Preview for Later Today: Steven Mazie details the Supreme Court case Trump v. Barbara concerning birthright citizenship, discussing Trump's challenge to the 14th Amendment and an AI tool predicting a lopsided judicial ruling against the former president.1911 SCOTUS