> ## Content Index > Fetch the complete content index at: https://intelligence.artificialrealitymedia.com/llms.txt > Use this file to discover other available public pages before exploring further. # S1E8: Why 99% of AI products fail — the gap between builders and buyers is bigger than you think - URL: https://intelligence.artificialrealitymedia.com/episodes/galina-s1-recap/ - Published: 2026-08-06T09:00:00.000Z - Updated: 2026-08-06T09:00:00.000Z - Description: Six operators, seven industries, three questions each. Galina Fendikevich puts season one side by side: every real AI win was invisible, every real failure was public, and six executives described the same missing product. - Author: Galina Fendikevich - Tags: Cross industry, #Episode, #Import 2026-09-03 04:53 Listen instead: [Spotify](https://open.spotify.com/episode/1DI6RkvekF4NF7HfpuzEqm?ref=intelligence.artificialrealitymedia.com) or [Apple Podcasts](https://podcasts.apple.com/us/podcast/why-99-of-ai-products-fail-the-gap-between/id6780699025?i=1000780319385&ref=intelligence.artificialrealitymedia.com). Six operators, seven industries, the same three questions each time. In the season one recap, Galina Fendikevich puts all seven conversations side by side and finds what no single guest could see from inside their own business: every real AI win this season was invisible, every real failure was public, and six executives who have never met each other described the same missing product. Galina Fendikevich is the creator and host of Artificial Reality, the show about the reality behind AI adoption. She did machine learning on Wall Street eight years ago, was on a team that exited to a $9 billion company, and ran US go-to-market for one of the first generative AI unicorns. ## What came out of season one - A yacht client asked [ChatGPT](https://chatgpt.com/?ref=intelligence.artificialrealitymedia.com) whether he could anchor in 25-knot winds. It said yes. The captain, who had sailed those waters for years, said absolutely not. The client screenshotted the answer, circled it in pen, and called his broker furious — while that same broker quietly runs multilingual client conversations through [Gemini](https://gemini.google.com/?ref=intelligence.artificialrealitymedia.com) inside [Google Workspace](https://workspace.google.com/?ref=intelligence.artificialrealitymedia.com) without leaving her inbox. - An M&A broker cut payroll by 83% and prices what [Claude](https://claude.ai/?ref=intelligence.artificialrealitymedia.com) does for her at roughly $40,000 a month of labour, on a $100 subscription. Then a couple walked in holding an AI-generated $5 million valuation on $125,000 of net profit. The model had counted their expenses as assets. The honest number was closer to $400,000. - Six executives in completely different industries all described the same missing product: a private, structured, dynamic memory layer for client profiles in high-trust businesses. Well beyond a CRM. Nobody has built it. - Adoption is not stalling for lack of interest. A yacht broker with no technical background tried to build her own intake tool and described it as jumping through 500 hoops. An M&A adviser is duct-taping her own deal room. A health coach hired a developer to wire her backend together. These are executives trying to become software engineers overnight, because the translation layer between what they need and what exists is missing. ## The three cross-industry patterns - **Every real win was invisible. Every real failure was public.** The AI that worked disappeared into a workflow nobody talks about. The AI that failed did so in front of a customer. - **Six executives described the same missing product without knowing it.** Jennifer wants a system that remembers which wine a guest drank and when the children's birthdays are. Sofiane wants scattered handwritten guest intelligence made usable. Sam wants live structured data on journalists. - **The translation layer between operators and AI does not exist yet.** Demand is not the constraint. Getting from a described need to a working tool is. This episode is for you if you run a business in construction and legacy industries, M&A, yacht charter, luxury hospitality, PR and communications, restaurants or health and wellness, and want to see what your peers are actually doing with AI before you spend a dollar finding out yourself. And it is for you if you build AI products, run go-to-market or lead a product team, and want customer discovery from seven industries handed to you for free. ## Chapters - **0:00** Intro - **0:47** Why AI has a product feedback problem nobody is solving - **2:35** The six executives who said it all on the record - **3:33** $20 million businesses running on sticky notes — Annija Eizenarma on legacy industries - **5:01** The client who screenshotted ChatGPT and argued with the captain — Jennifer Kerum on yacht charter - **6:33** "We don't sell rooms, we sell trust" — Sofiane Ghorbel on luxury hospitality - **7:53** Stop polishing prompts, start building context — Sam Polstein on deep-tech PR - **9:26** An 83% payroll cut on a $100 subscription — Christine McDannell on M&A - **10:57** Fifteen AI skills with zero technical background — Dr. Nikki Siso on restaurants and health coaching - **12:41** The three cross-industry patterns nobody could see from their own corner - **13:15** Pattern one: every real win was invisible, every real failure was public - **14:07** Pattern two: six executives described the same missing product - **14:56** Pattern three: the translation layer that doesn't exist yet - **16:44** Two free reports, for operators and for builders - **17:21** Season two: out of the studio and onto the ground - **18:01** Four ways to go further together - **20:04** The Dream 100 list ## The season one guests - **Annija Eizenarma** — business owner, investor and adviser helping technology companies sell into legacy industries. [Construction](https://intelligence.artificialrealitymedia.com/industries/construction/) - **Jennifer Kerum** — founder of Anchor Croatia and its luxury yacht rental business. [Yacht charter](https://intelligence.artificialrealitymedia.com/industries/yacht-charter/) - **Sofiane Ghorbel** — founder and CEO of [AL Hospitality Group](https://www.alhospitalitygroup.com/?ref=intelligence.artificialrealitymedia.com), luxury hotel investment, repositioning and advisory. [Hospitality](https://intelligence.artificialrealitymedia.com/industries/hospitality/) - **Sam Polstein** — communications and content for deep-tech startups. [Public relations](https://intelligence.artificialrealitymedia.com/industries/public-relations/) - **Christine McDannell** — owner of The Magnolia Firm, an M&A brokerage selling profitable tech companies. [M&A advisory](https://intelligence.artificialrealitymedia.com/industries/ma-advisory/) - **Dr. Nikki Siso** — holistic health practitioner and founder of Conscious Kitchen; the show's only two-part guest. [Restaurants](https://intelligence.artificialrealitymedia.com/industries/restaurant/) and [health & wellness](https://intelligence.artificialrealitymedia.com/industries/health-wellness/) ## Free reports - Operator Field Guide and Builder Feedback File: [download both](https://arc.net/l/quote/lnabmwxw?ref=intelligence.artificialrealitymedia.com) - The Dream 100 list: [see the list](https://arc.net/l/quote/nbvswfzr?ref=intelligence.artificialrealitymedia.com) ## Artificial Reality - Every industry we've covered: [AI across industries](https://intelligence.artificialrealitymedia.com/industries/) - For business owners and execs: [what operators actually run](https://intelligence.artificialrealitymedia.com/for-ai-buyers/) - For AI founders and product teams: [what your buyers are asking for](https://intelligence.artificialrealitymedia.com/for-ai-companies/) - Website: [artificialrealitymedia.com](https://www.artificialrealitymedia.com/?ref=intelligence.artificialrealitymedia.com) - In-person events: [luma.com/artificialreality](https://luma.com/artificialreality?ref=intelligence.artificialrealitymedia.com) ## Transcript **Full transcript** **Galina Fendikevich · 00:31** Claude valued a business at $5 million. It was actually worth about $400K. A yacht client asked ChatGPT if he could anchor his boat in 25 knots of wind. It said sure. He circled that answer and pen and argued with the captain who'd sailed those waters for years and said it was unsafe. A restaurant founder handed a 45-page commercial lease to ChatGPT and saved $1,000 in three minutes. Every one of those came from an executive running a real company. Not a demo, not a lab. And here's why that matters to you, whether you build AI or you buy it. If you build it, these are your customers telling you the truth. If you run a business, these are your peers showing you what's actually working before you waste a dollar finding out yourself. **Galina Fendikevich · 01:25** This is the reality behind AI adoption. Let's get into it. **Galina Fendikevich · 01:34** Welcome back to Artificial Reality. I'm Galina Fendikevich and this is the show about the reality behind AI adoption. Season one is a wrap, and I want to give you the whole picture. **Galina Fendikevich · 01:52** But first, let me tell you why this show even exists, because it's the reason the next few minutes are worth your time. AI has a product feedback problem. The people building it and the people actually paying for it are barely talking to each other. Founders are guessing, operators are drowning in tools that almost fit. Nobody's closing that feedback gap. How do I know? I spent two and a half years deep in Silicon Valley working with AI builders. But also, I meet operators from every industry and they open up to me. Hospitality, construction, MA, deep tech, manufacturing, supply chain, fashion, media, creative, finance, healthcare, the list goes on and on. Which means I'm holding a cross-industry view of AI adoption that almost nobody has. One person only sees their own corner. I get to see all of them at once. So I built the feedback loop. I set real operators down and I ask them three questions about their own business. What's working with AI, what's broken, and what they would pay someone to build for them next. **Galina Fendikevich · 03:07** And here's what that's worth, depending on who you are. If you're building AI on a product, sales, marketing, or go-to-market team, this is customer discovery you didn't have to run. It's executive you've been chasing for a meeting, telling you what they love, what made them cancel, and what they'd write you a check for tomorrow. **Galina Fendikevich · 03:32** And if you run a business, this is pure intelligence. It's founders and owners in each industry showing you what's genuinely working, what to watch out for before it costs you, and what to plan around because nobody's built it yet. **Galina Fendikevich · 03:50** Now, who did I put in these chairs in season one? This is the part I want to be clear about. These are not influencers talking about AI, or AI builders talking about how great they are, or how great their products are and how it's going to revolutionize the future. These are executives, CEOs, and business owners betting real money on AI. A business owner who exited a building automation company, a 25 year luxury hospitality CEO. A Harvard trained doctor, an MA broker who's built and sold multiple companies of her own. Executives running real operations across seven industries. And that's just season one. Season two is already lined up and it's going to be bigger. One more thing. So you know why I get to ask? I did machine learning on Wall Street. Eight years ago, I was on a team that exited to a $9 billion company. I ran US Go to Market for one of the first generative AI unicorns. And the most useful thing I do now is put all of that down and listen to people who don't work in tech. Let's meet them. **Galina Fendikevich · 05:10** First up, Annija Eizenarma. Annija is a business owner, investor, and advisor who helps technology companies sell into legacy industries. Think construction, manufacturing, logistics. She started her first business at only 17 in Latvia, built and exited a smart home and building automation company, and now guides startups trying to sell into the physical world. She told me something in episode one that I haven't stopped thinking about. **Galina Fendikevich · 05:42** She said there are legacy businesses running $20 million a year on sticky notes. Her point wasn't that they're behind, is that these buyers don't want AI for the sake of AI. The AI product winners find one painful task, fix it visibly, and earn the next one. No Disneyland platform. The ones who fail asked ChatGPT which industry had the biggest market, built for four months in a shared apartment in Silicon Valley. Then learn that selling into construction means flying to Texas and sitting at a kitchen table. And here's what she once built for the legacy industry. Her exact request. Get your house in order as a product. Organized financials, clean asset lists, adjusted eBITUP. She says private equity pays people by hand to do this today. Productize it and every AI tool downstream suddenly works. So if you're building, that's a validated market, hand it to you for free. If you're an operator, that's your filter for telling a serious vendor from a tourist who found you through a ChatGPT search query. **Galina Fendikevich · 06:58** Then I had Jennifer Kerum. Jennifer founded Anchor Croatia and the upcoming luxury yacht rentals. And here's what makes her remarkable. She built a yacht charter business from scratch with zero industry background, using social media to break into a market run by companies that have existed since the 1950s. She's now expanding globally, with AI at the center of her new platform. **Galina Fendikevich · 07:25** And Jennifer gave me the story that became the face of the season. A client asked ChatGPT if it was safe to anchor in 25 knots of wind. It said yes. The captain said absolutely not. So the client screenshotted the ChatGPT answer, circled it with a pen, and called Jennifer furious. But on the flip side of AI is what got me. The winds are just invisible. She runs client conversations in Chinese, Spanish, whatever the guest speaks, through Gemini right inside [Google](https://www.google.com/?ref=intelligence.artificialrealitymedia.com) Workspace without leaving her inbox. Ten years ago, she said you'd ask [Google Translate](https://translate.google.com/?ref=intelligence.artificialrealitymedia.com) for a coffee and it would offer you a cat. Now it's seamless. **Galina Fendikevich · 08:11** What doesn't exist, tools for her actual world. Her words, yachting gets forgotten in the AI world. And she didn't just complain, she recruited. She literally invited builders onto a boat. Her line, come hang out on a yacht in Croatia and help me solve my problems. She wants a vibe first intake tool and a private searchable fleet database. That's an operator offering you a trip to Croatia to build with her. If you're a founder, that's not a gab. That's a land grab with the welcome party. **Galina Fendikevich · 08:50** Then I talked to Sofiane Ghorbel. Sofiane is the founder and CEO of [AL Hospitality Group](https://www.alhospitalitygroup.com/?ref=intelligence.artificialrealitymedia.com), focused on luxury hotel investment, repositioning, management, and advisory. 25 years in the industry, serving luxury travelers, family offices, and institutional clients. He's seen this business as a guest, an operator, an owner, and an investor. And he compressed the whole problem into five words. We don't sell rooms, we sell trust. **Galina Fendikevich · 09:27** One wrong recommendation can undo a relationship built over years. So an AI mistake isn't a bug, it's relational and it costs you the client. I brought up [Marriott](https://www.marriott.com/?ref=intelligence.artificialrealitymedia.com) who launched an AI concierge, and when a reporter asked it to recommend a nearby restaurant, it couldn't. But then Marriott pointed the technology at the back of the house: revenue management, forecasting, operations, and it paid for itself. **Galina Fendikevich · 09:58** And here's his build request set out loud. I don't have this tool yet, he told me. I hope we will find it. He wants a private hospitality-native system for the whole guest journey, one where the client's data never leaves his walls. The takeaway is the same for both sides. The front of the house is human. The back of the house is where AI wins. His formula, which is the best liner of the season, high tech plus high touch. Technology creates efficiencies, but humans create the memories. **Galina Fendikevich · 10:39** Sofiane, I talked to Sam Polstein, who leads communications and content for deep tech startups. He started his career running political campaigns across the Midwest, and he's done comms for everything from Fortune 500 companies to early stage startups, building things like liquid metal circuit boards that rewire themselves. Yes, really. And Sam offered his entire operating system in one sentence. By the time the prompt has started, he said the output is already 90% of the way there. **Galina Fendikevich · 11:14** Because Sam doesn't obsess over prompts, he builds context. Every client's history, their voice, examples of good writing, all stored as markdown in [Obsidian](https://obsidian.md/?ref=intelligence.artificialrealitymedia.com), all readable by Claude the second he points Claude Cowork at a client folder. His line, I think about context engineering a lot more than prompt engineering. That one idea will change how you use these tools this week. Stop polishing prompts and start building context. **Galina Fendikevich · 11:47** Then I asked what's broken and he didn't hedge. Building a media list, deciding which journalist to pitch is the work that makes or breaks the campaign. And AI is bad at it. The tools he's tried from various LLMs to [Muck Rack](https://muckrack.com/?ref=intelligence.artificialrealitymedia.com) to [Cision](https://www.cision.com/?ref=intelligence.artificialrealitymedia.com) are out of date. And a three-week data lag makes them useless because he doesn't care what a reporter wrote six months ago. He needs what they'll write next. And then he said it straight into the camera. Somebody please fix this. This, get some engineers on a better tool. That's not a complaint. That's a paying customer handing you an engineer a spec on the record. **Galina Fendikevich · 12:35** Then I flew over to Austin and I met with Christine McDannell, who's the owner of the Magnolia Firm, a mergers and acquisitions brokerage that specializes in selling profitable tech companies. She built and sold multiple companies of her own before starting the firm five years ago. She runs and exits. Start to finish, and she runs an AI implementation club in Austin. This woman lives in the tools and she brought receipts. She caught her payroll by 83%. Her line: When business owners complain about a $100 a month AI tool, I tell them that tool does $40k a month of work for me. She's got codecs building brand new ad creatives start to finish without her touching it. But she was honest that it took her four to five days of training Claude, like onboarding a new employee, to respond to inquiries before it clicked for it. **Galina Fendikevich · 13:36** If you run a small business and the price tag scared you, sit with that. The hundred dollars isn't the cost, it's the discount. And she showed me the danger too. A couple walked in with the valuation from Claude Cowork, $5 million. Their real net profit was $125,000\. The honest business valuation number was closer to $400,000\. Claude had counted their expenses as assets. And here's her request to build. When I asked if she'd want a real MA deal infrastructure platform instead of duct taping her own, she lit up her exact word, that would be rad. Builders. An MA operator just told you she'd buy the product. Go build it. **Galina Fendikevich · 14:26** And lastly, I had Dr. Nikki Siso on the show, my only two-parter guest, because she's doing two extraordinary things at once. Nikki is a certified holistic health practitioner and the founder of Conscious Kitchen, a raw, organic, plant-based, and gluten-free restaurant in Westlake Hills, just outside Austin. She holds a PhD in holistic health and nutrition and a master's from Harvard in sustainability. She co-founded the restaurant with her mother, a master chef with 30 years of experience. **Galina Fendikevich · 15:00** In episode six, she talks about opening the restaurant. She handed her forty-five page commercial lease to ChatGPT and said, act like a commercial real estate agent and find everything that could hurt me. Three minutes later, eight red flags and a drafted letter to the landlord. Her attorney reviewed it in 10 minutes for free instead of billing her $1,000\. That's a play any small business owner can run tomorrow. ChatGPT or Claude do the 90%. The licensed human does the last mile. And she had a specific build request. She wants an app that scans a restaurant menu and flags every dish green, yellow, or red against your dietary needs. **Galina Fendikevich · 15:49** Her pitch, build it, come to Conscious Kitchen, find me, and I will promote the magic. And then in the next episode, she goes deeper. She built a 15-skill health assessment system in Claude with no technical background. And she admitted something experts rarely do. She said she could never remember all 86,000 chemicals the EPA has approved and how each affects the body. No human can. But now because of Claude, she has literally become the health coach she always dreamed of being. **Galina Fendikevich · 16:34** Business owners, CEOs, coaches, running real companies across seven industries, and every single one of them asked for something specific to be built. And here's what none of them could see, and I could, because I heard all of it. **Galina Fendikevich · 16:57** Every guest only sees their own corner. Jennifer sees yachts, Christine sees deals, Sofiane sees hotels. I'm the only one who sat across from all of them. It's what I love doing. Operators from every industry talk to me. So I'm holding a cross-industry read on AI that almost nobody else has. And that's my superpower. When you put all seven conversations side by side, three patterns show up that no single executive could have told you. So let me be the one who says them out loud. **Galina Fendikevich · 17:34** Pattern one. Every real win this season was invisible and every failure was public. What worked? Translation inside an inbox with Gemini, a context library in Obsidian, revenue management in the back office, lease review with ChatGPT, all behind the scenes. And what broke? The customer-facing chatbot that couldn't name a restaurant. The confidently wrong answer to a yacht client. The $5 million valuation from Claude handed to a business owner. **Galina Fendikevich · 18:11** AI is winning exactly where nobody can see it and losing exactly where everybody can. Builders, that's your roadmap. The hidden problems in each industry. Operators, back end is where to spend and front end is where to wait. **Galina Fendikevich · 18:34** Pattern two, and this one surprised me. Six executives in seven industries describe the exact same missing product. They just didn't know it. Jennifer wants a system that remembers which wine a guest drank and when the kids' birthdays are. Sofiane wants scattered handwritten guest intelligence made usable. Sam wants live structured data on journalists. Christine wants an MA deal room per client. And Nikki builds a health coaching client intake brain from scratch. Those are all the same product. A private, structured, but dynamic memory layer for client profiles in high trust businesses. Way beyond a CRM. And nobody's built the clean version of this. Six executives asked me for it in one season. If you're a founder, I just handed you a validated market with six reference customers attached. **Galina Fendikevich · 19:34** 3\. This is the thesis of the whole show, so I'll say it plainly. AI adoption hasn't stalled because people don't want it. It stalled because the technology is outpacing translation, not outpacing interest. **Galina Fendikevich · 19:53** The demand isn't the problem. The demand is desperate. And here's the proof: Jennifer wanted her intake tools so badly that she tried to build it herself with no technical background. She described the process as jumping through 500 hoops. She's not a developer, she's a yacht charter broker. And she was in there wrestling with the build anyway because nobody had made it for her. **Galina Fendikevich · 20:18** She's not alone. Christine's duct taping her own MA deal room. Nikki hired a developer to wire her backend together for her health coaching assessment. These are executives trying to become software engineers overnight. Not because they want to, but because the translation layer between what they need to solve their problems and what exists is missing. **Galina Fendikevich · 20:46** That gap between what an operator can imagine and what can they actually ship is the entire opportunity. And it's the reason this show exists. I've done machine learning on Wall Street and go to market for an AI unicorn, and I'm telling you, the executive the executives you just heard handed the AI industry a product roadmap for free. **Galina Fendikevich · 21:10** The problem is, nobody in AI is ever in the room to hear them. So I built the room. This show is the room. And look, I don't just report on AI. I run my whole operation on it. I draft and produce with Claude Cowork and ChatGPT work. I create clips with Opus and [Riverside](https://riverside.fm/?ref=intelligence.artificialrealitymedia.com). I take notes and extract insights with [Fireflies](https://fireflies.ai/?ref=intelligence.artificialrealitymedia.com). I practice exactly what these operators preach. **Galina Fendikevich · 21:49** Okay, I promised you'd walk away with something. Let me deliver. **Galina Fendikevich · 21:58** Seven episodes into two free reports. The first is for operators, a field guide, industry by industry. What your peers are doing with AI, what to try this week, what to watch out for so you don't waste your money. The second is for the people building AI. It's a feature request list from paying customers, episode by episode. What's working, what's broken, what these executives are begging someone to build. **Galina Fendikevich · 22:29** Both are free. The links in the show notes and in my bio. That's the 90% I give away. The full episodes are the rest. And here's where this is going. Because season two is already ramping up. More industries, more executives, already lined up. And then I'm genuinely excited, I'm getting out of a studio setting and going on the ground. I want to walk the job site, stand in the kitchen, get on the boat, and film AI adoption where it actually happens. Think travel show, except the destination is the real world using artificial intelligence. **Galina Fendikevich · 23:11** And special editions. Two kinds of episodes going forward. Regular ones with operators like season ones giving you tactical intel, and special editions with bigger names. Same three questions, bigger rooms. **Galina Fendikevich · 23:29** Now, if you made it this far, this show is clearly for you. So let me tell you four ways we can go further together, because there are a few ways I love to work with people on both sides of this. First of all, if you found the patterns in this episode useful and you want more, reach out. I'm always happy to walk a team through the intelligence in depth and I tailor it to who you are. If you're an AI company, I'll show you what these executives said about products like yours, the specific requests, the specific complaints, like the fact that operator after operator wants client profiles, they go miles beyond a CRM, and that the entire yacht rental market is a green field where nobody's building. And if you're non-tech, non-AI, a company in literally any other industry, I'll show you what your peers are actually doing that works. **Galina Fendikevich · 24:28** Second, if you've built a product that genuinely solves one of my guests' problems, I want to partner with you through the show because I want to make sure these operators actually know you exist. That's the whole point of the feedback loop. It runs both directions. And third, and I think this is where things are headed, people are craving real in-person connection again. So I want to get operators and AI companies into the same room. At events that are actually fun, like poker nights and salons and intimate dinners, but there's one rule, and it's the rule that is going to make this work. There are no pitches allowed. These are listening events. Companies get to come and listen, and I facilitate the conversation because the AI users will tell you more over a poker table than they ever will in a sales call. And fourth, if you want me on a stage or at your company offsite, I'll come talk about exactly what we covered today and more from my decade of experience turning unfamiliar technology into things people adopt across five industries and three tech waves. The market patterns, what buyers actually need, and how to translate deep tech for the non-technical buyers who are quietly running the economy. **Galina Fendikevich · 25:48** If any of that is for you, the link to reach me is in the show notes. **Galina Fendikevich · 25:58** One final thing, because the show runs on it. I started a list. I call it the Dream 100\. A hundred people I'd love in the chair across from me. Operators and executives across all industries. Even a few names you'd recognize. That list is public on purpose. It's on the website right now, [artificialrealitymedia.com](https://www.artificialrealitymedia.com/?ref=intelligence.artificialrealitymedia.com). Go look at it. If you know someone on it, introduce us. Tag them in this episode, send it to them. And if you are on that list, this is your invitation. I'd love to have you on. You're not on there by accident. I would love to hear your story of how you're actually adopting AI. And if you do nothing else, follow and subscribe. The on the ground episodes in season two are ones you'll want to see, not just here. Don't miss the premiere. **Galina Fendikevich · 26:50** Season one was business owners, executives, and CEOs on the record telling the truth about the AI they actually use. And that was only the beginning. Season two, we go on the ground. **Galina Fendikevich · 27:06** I'm Galina Fendikevich, this is Artificial Reality. And this is where AI companies finally hear what customers really think. I'll see you next season.