Tales From The PROS

Michael Georgiou: Imaginovation, Co-founder, Tech Entrepreneur, Podcaster, Influencer

Tales from the PROS is hosted by Michael Georgiou, Co-Founder, and Eric Lawrence, Director of Growth at Imaginovation, an award-winning app and software development company. Each episode dives into honest, unscripted conversations, hard-earned lessons, and educational insight into how to help bridge the gap between technology and people. If you’re a founder, exec, or innovator trying to navigate the tech world without getting burned, this podcast is your no-BS roadmap. Through real talk, personal stories, and insights from the front lines, you’ll pick up smarter ways to build software, steer clear of common mistakes, and choose the right partners in a crowded, often confusing space. Whether you’re scaling a startup, driving digital change at a larger company, or just love keeping up with tech innovation, Tales from the PROS brings you straight-shooting advice and inspiration without the fluff.

  1. Ep 84 - Discovery First: How Great Digital Products Get It Right Early

    2D AGO

    Ep 84 - Discovery First: How Great Digital Products Get It Right Early

    In this episode of Tales from the Pros, hosts Eric Lawrence and Zach Bruno dive into one of the most overlooked yet critical stages of product development—the discovery phase. While many founders rush straight into design and development, skipping discovery often leads to wasted budgets, overbuilt products, and solutions users never actually wanted. Zach shares insights from leading discovery for hundreds of digital products, from startups to enterprise applications, explaining why validation matters more than speed, how teams can avoid costly product mistakes, and why discovery should never be treated as “just paperwork.” The conversation explores how AI tools and rapid prototyping are changing the way teams validate ideas, why user feedback must be balanced with product vision, and how discovery creates alignment across stakeholders before a single line of code is written. If you're building a digital product, validating an MVP, or trying to avoid expensive development mistakes, this episode offers a practical breakdown of how successful teams approach product discovery in today’s AI-driven world. 🎯 Highlights You Won’t Want to Miss Why skipping discovery leads to wasted development budgetsThe biggest misconceptions founders have about product discoveryWhy validation matters more than building fastThe balance between user feedback and product visionHow AI is changing MVP development and rapid prototypingThe difference between solving your own problem vs solving a market needWhy overbuilding products hurts startupsHow discovery helps teams align before development starts 🎧 Listen and Subscribe Spotify: https://open.spotify.com/show/6QkUtrcNllUkqtq1fjlwnZ Apple Podcasts: https://podcasts.apple.com/us/podcast/tales-from-the-pros/id1371067192 YouTube: https://www.youtube.com/@Imaginovation/podcasts SoundCloud: https://soundcloud.com/talesfromthepros 💡 Key Takeaways Discovery is about validating ideas before investing heavily in developmentGreat products solve real user problems, not just “cool ideas”Rapid prototyping helps teams gather feedback earlier and reduce riskAI tools are making MVP creation faster and more accessibleUser feedback should guide product direction, but vision still mattersStrong discovery creates alignment between stakeholders, designers, and developersOverbuilding products too early creates unnecessary complexity and costDiscovery is not a one-time step—it’s an ongoing product process 🗂 Topics We Cover Product discovery and validationMVP strategy and rapid prototypingUser feedback and product-market fitAI tools and vibe codingDiscovery workshops and stakeholder alignmentProduct planning and development strategyScalable product developmentThe future of AI-driven product discovery⏱️ Chapters 00:00 — Why skipping discovery kills products03:00 — The biggest mistakes founders make early08:00 — Validation vs building fast12:30 — User feedback and product vision17:20 — Discovery deliverables that actually matter22:00 — AI tools and rapid MVP creation28:00 — When to move from prototype to scalable product33:00 — Solving your own problem vs market needs38:00 — The future of AI-driven product discovery

    24 min
  2. Ep 83 - The Truth About Building Great Apps: Michael vs. Eric (Unfiltered)

    MAY 6

    Ep 83 - The Truth About Building Great Apps: Michael vs. Eric (Unfiltered)

    In this episode of Tales from the Pros, hosts Michael Georgiou and Eric Lawrence have an unfiltered conversation about what actually makes great apps successful in today’s tech landscape. From overrated app features and startup mistakes to AI, user experience, and product strategy, the episode dives into the realities of building software that people genuinely want to use. Michael and Eric break down why many startups focus on the wrong things too early, including referral systems, rewards programs, and unnecessary features that don’t create real value for users. They also discuss the importance of user-centric product development, validating ideas through feedback, and understanding that successful apps are built around user behavior — not founder assumptions. The conversation also explores the growing role of AI in software development and workplace communication. While AI is rapidly changing how products are built and how teams operate, both hosts emphasize the importance of maintaining empathy, emotional intelligence, and authentic human connection in an increasingly automated world. Along the way, the episode touches on innovative app ideas, the unpredictability of the tech industry, choosing the right startup partners, and why building software today requires both adaptability and strong human intuition. If you're building an app, launching a startup, or trying to navigate the fast-changing world of technology and AI, this episode delivers practical lessons, honest perspectives, and real-world insights from experienced founders. Highlights You Won’t Want to Miss Why rewards and referral systems may be overused in modern appsThe importance of building products for users instead of catering to personal preferencesWhy offline functionality remains one of the most underrated app featuresHow AI is reshaping software development and workplace expectationsThe importance of balancing AI with an authentic human connectionCommon startup mistakes founders make when choosing business partnersWhy user feedback should guide every stage of app developmentHow emotional intelligence still matters in techCreative app ideas that gamify everyday experiencesWhy the tech industry often feels unpredictable and constantly evolvingListen and Subscribe Spotify: https://open.spotify.com/show/6QkUtrcNllUkqtq1fjlwnZ Apple Podcasts: https://podcasts.apple.com/us/podcast/tales-from-the-pros/id1371067192 YouTube: https://www.youtube.com/@Imaginovation/podcasts SoundCloud: https://soundcloud.com/talesfromthepros Key Takeaways Great apps solve real user problems instead of chasing trendsReferral and rewards systems are not always necessary for growthUser-centric design remains one of the most important principles in software developmentAI can improve workflows, but human creativity and empathy still matterFounders should validate demand before expanding feature setsStrong business partnerships are critical for startup successSmart personalization can improve engagement without overwhelming usersTechnology should enhance human experiences, not replace them Topics We Cover App development and product strategyUser experience and customer-centric designAI in software developmentStartup mistakes and founder lessonsMobile app innovationReferral systems and rewards programsHuman-centered technologyProduct validation and user feedbackThe future of AI in the workplaceThe realities of the tech industry Chapters 00:00 Introduction to App Development Insights03:10 Overrated Features in App Development06:17 Essential Features Apps Should Have08:43 The Buzzwords of Tech11:08 AI's Role in Software Development13:44 The Human Element in Tech22:31 The Rise of AI and Human Innovation25:14 Navigating AI's Impact on Human Skills26:01 Common Startup Mistakes: Choosing Partners Wisely29:01 User-Centric Product Development32:46 Fun App Ideas: Gamifying Everyday Tasks39:26 The Tech Industry: A Roller Coaster Ride43:52 Episode Wrap-Up

    44 min
  3. Ep 82 — Fixing Software Code Is Too Slow. Can AI Save Us?

    APR 22

    Ep 82 — Fixing Software Code Is Too Slow. Can AI Save Us?

    In this episode of Tales from the Pros, hosts Michael Georgiou and Eric Lawrence are joined by Gal Vered, co-founder and CEO of Checksum AI, to break down one of the biggest bottlenecks in modern software development—fixing bugs and ensuring code quality in an AI-driven world. AI can now generate software faster than ever. You can build features, ship MVPs, and even spin up entire applications in minutes. But speed introduces a new problem. How do you verify that the code actually works? And more importantly, how do you trust it in production? The conversation cuts through the hype around AI coding and focuses on what really matters. Quality, testing, and verification. Gal shares insights from his experience at Google and building Checksum AI, explaining why most teams get stuck in endless bug-fixing loops, how AI can compound bad code patterns, and why strong testing systems are the only way to enable truly autonomous software development. If you're building software with AI, struggling with bugs, or trying to scale beyond MVP without breaking everything, this episode gives a practical look at what it actually takes to ship reliable software today. 🎯 Highlights You Won’t Want to Miss Why AI-generated code often fails in productionThe real bottleneck in software development todayHow bug-fixing loops slow down engineering teamsWhy speed without verification creates bigger problemsThe role of testing in enabling autonomous AI developersHow bad code patterns compound with AIThe difference between code that works locally and production-ready codeWhy engineers still matter in an AI-driven workflow 🎧 Listen and Subscribe Spotify: https://open.spotify.com/show/6QkUtrcNllUkqtq1fjlwnZ Apple Podcasts: https://podcasts.apple.com/us/podcast/tales-from-the-pros/id1371067192 YouTube: https://www.youtube.com/@Imaginovation/podcasts SoundCloud: https://soundcloud.com/talesfromthepros 💡 Key Takeaways AI can generate code quickly, but quality and verification remain major challengesWithout proper testing, AI-generated code often leads to bugs and technical debtFixing bugs after deployment is significantly more time-consuming than building featuresStrong testing pipelines are critical for scaling AI-driven developmentAI can amplify both good and bad coding patterns within a codebaseDevelopers still play a key role in guiding, reviewing, and validating AI-generated codeConfidence in code is just as important as finding bugsThe future of software development depends on automated, continuous verification systems 🗂 Topics We Cover AI-generated code and its limitationsBug-fixing loops and technical debtTesting and verification in modern software developmentAI agents and autonomous engineeringVibe coding and rapid MVP creationCode quality vs development speedHuman vs AI roles in software engineeringThe future of software testing and simulation⏱️ Chapters 00:00 The hidden bottleneck in software development 05:10 AI-generated code vs real-world reliability 11:30 Why testing is the missing layer in AI coding 18:40 Escaping the bug-fixing loop 26:00 AI hype vs enterprise reality 33:20 Code quality, edge cases, and human thinking 40:00 The future of software testing and AI engineering

    43 min
  4. Ep 81 - How To Make Your Operations Flow With AI

    APR 9

    Ep 81 - How To Make Your Operations Flow With AI

    In this episode of Tales from the Pros, hosts Michael Georgiou and Eric Lawrence are joined by Imaginovation’s co-founder and Head of Technology, Pete Peranzo, to break down how AI is actually impacting business operations and when it truly makes sense to implement it. AI is everywhere right now, but not every company needs it. Not every workflow benefits from it. And in some cases, adding AI can actually make things worse. The conversation cuts through the hype and focuses on what matters most. Understanding your processes, identifying real inefficiencies, and knowing when automation or AI will actually create value. The team explores how businesses should evaluate their operations before jumping into AI, why fixing broken processes matters more than adding new technology, and how companies can start small with practical use cases. They also discuss the rise of vibe coding tools, AI-generated MVPs, operational audits, and the growing gap between experimentation and building scalable systems. If you're trying to improve efficiency, reduce manual work, or understand where AI fits into your operations, this episode offers a grounded, practical perspective on how to approach it the right way. 🎯 Highlights You Won’t Want to Miss Why not every business process should use AIThe biggest mistake companies make when adopting automationHow broken workflows get worse when AI is added too earlyThe difference between automation and generative AIWhy fixing processes matters before implementing AIHow vibe coding tools are changing product developmentWhere AI helps most in business operations todayWhy human expertise is still critical for scalable systems 🎧 Listen and Subscribe Spotify: https://open.spotify.com/show/6QkUtrcNllUkqtq1fjlwnZApple Podcasts: https://podcasts.apple.com/us/podcast/tales-from-the-pros/id1371067192YouTube: https://www.youtube.com/@Imaginovation/podcastsSoundCloud: https://soundcloud.com/talesfromthepros 💡 Key Takeaways AI should be applied after processes are optimized, not beforeAutomation does not always require AI, and simpler solutions may be betterGenerative AI is powerful for rapid prototyping, but it has scalability limitationsBusinesses should audit operations before investing in AI initiativesAI tools are improving quickly, but still require human guidance and expertiseOperational efficiency gains come from targeting repetitive manual tasksAI adoption should focus on measurable business value, not hypeEarly AI implementation can compound benefits as models improve over time 🗂 Topics We Cover When AI actually makes sense in business operationsProcess optimization before automationAutomation vs generative AI vs agentic AIVibe coding tools and rapid MVP creationLimitations of AI-built applicationsOperational audits and identifying inefficienciesAI readiness and infrastructure considerationsThe future of AI in business workflows ⏱️ Chapters 00:00 AI in business operations and cutting through the hype05:15 Fixing processes before adding AI09:05 Generative AI tools and rapid MVP creation17:40 Breaking the barrier to AI adoption in businesses24:05 Risks, trends, and the future of AI in operations32:00 AI operational audit tool walkthrough37:30 Final thoughts on implementing AI responsibly

    37 min
  5. Ep 80 - How to Turn an MVP into a Revenue Machine

    MAR 25

    Ep 80 - How to Turn an MVP into a Revenue Machine

    In this episode of Tales from the Pros, hosts Michael Georgiou and Eric Lawrence break down what really happens after you launch a Minimum Viable Product (MVP). For many founders, launching an MVP feels like the finish line. In reality, it’s just the beginning. The real challenge lies in turning that early product into a scalable, revenue-generating business. Michael and Eric walk through the proven Launchpad approach, a structured framework that outlines the journey from MVP to product-market fit and ultimately to sustainable growth. They unpack the common misconceptions founders have, why early traction is so difficult to achieve, and how customer feedback, iteration, and disciplined execution determine long-term success. The conversation explores how to approach the critical first 60–90 days after launch, how to identify real value through user behavior, and why many products fail when teams try to build too much, too fast, without focusing on outcomes. If you're building a SaaS product, launching a startup, or trying to scale an existing digital product, this episode provides a practical roadmap to move beyond the MVP and build a business that actually works. 🎯 Highlights You Won’t Want to Miss Why launching an MVP is only the first step, not the finish lineThe biggest misconception founders have about their product visionHow to approach the first 60–90 days after launchWhy your first customers are critical to shaping your productHow to turn user feedback into meaningful product improvementsThe importance of prioritization and avoiding feature overloadWhat it really takes to find product-market fitHow to transition from experimentation to scalable growth🎧 Listen and Subscribe Spotify: https://open.spotify.com/show/6QkUtrcNllUkqtq1fjlwnZApple Podcasts: https://podcasts.apple.com/us/podcast/tales-from-the-pros/id1371067192YouTube: https://www.youtube.com/@Imaginovation/podcastsSoundCloud: https://soundcloud.com/talesfromthepros💡 Key Takeaways An MVP is just the starting point. Long-term success depends on iteration and execution after launchEarly customer feedback is one of the most valuable inputs for shaping your product directionNot all feedback should be acted on. Prioritization is critical to avoid wasted time and resourcesProduct-market fit requires continuous testing, data analysis, and adaptationRevenue and retention are key indicators of whether your product is truly delivering valueScaling a product requires doubling down on what works and building repeatable growth systemsFounders must be prepared to evolve their product, and sometimes even rebuild, based on real-world insights🗂 Topics We Cover The Launchpad framework for post-MVP growthCommon misconceptions about MVPs and product developmentGetting your first customers and validating demandUsing feedback to guide product decisionsFinding product-market fit through iterationAvoiding feature creep and focusing on outcomesBuilding a scalable product and growth engine⏱️ Chapters 00:00 Launching the MVP: The Beginning of the Journey05:26 The biggest misconception about MVPs09:46 Getting your first customers18:01 Finding product-market fit24:54 Scaling and growing your business

    31 min
  6. Ep 79 - Building Products with AI: Hype, Reality, and What Actually Works

    MAR 11

    Ep 79 - Building Products with AI: Hype, Reality, and What Actually Works

    In this episode of Tales from the Pros, hosts Michael Georgiou and Eric Lawrence sit down with Imaginovation Chief Product Officer Zach Bruno to unpack one of the most talked-about topics in technology today: building products with AI. AI is everywhere right now. Startups are launching “AI-powered” products every day, founders believe they can build entire businesses with a single prompt, and companies are racing to integrate AI into everything they do. But how much of this is reality, and how much is hype? Zach shares a grounded perspective on where AI actually delivers value today, and where it still falls short. The conversation explores the difference between AI as an idea engine versus an execution tool, why engineers using AI will be far more powerful than non-technical founders trying to “vibe code” entire products, and why incremental AI usage often works better than attempting to build a full product with AI from day one. The team also dives into the broader implications of AI in product development, including how companies should think about customer value, the risks of using AI purely as a buzzword, and why the future of AI is likely more about human augmentation than human replacement. If you're building software, launching a startup, or simply trying to understand where AI is truly useful today, this episode offers a practical perspective on navigating the AI era responsibly and strategically. 🎯 Highlights You Won’t Want to Miss The current reality of building products with AI versus the hype surrounding itWhy AI is better at idea generation than full product execution todayThe difference between vibe coding and engineering-led AI developmentWhen it actually makes sense to build parts of a product with AIWhy startups shouldn't rely on AI alone to build scalable platformsThe biggest risks companies overlook when implementing AIHow AI can dramatically improve internal workflows and operationsWhy the future of AI is likely augmentation, not replacement🎧 Listen and Subscribe Spotify: https://open.spotify.com/show/6QkUtrcNllUkqtq1fjlwnZApple Podcasts: https://podcasts.apple.com/us/podcast/tales-from-the-pros/id1371067192YouTube: https://www.youtube.com/@Imaginovation/podcastsSoundCloud: https://soundcloud.com/talesfromthepros💡 Key Takeaways AI is currently far stronger at idea synthesis and reasoning than executing complex product builds Engineers using AI tools become significantly more productive, but AI does not replace engineering expertise Building small features or fixing bugs with AI is often more effective than generating entire applications Companies should focus on customer value first, not simply adding AI features for marketing purposes AI can provide massive efficiency gains when applied to internal operations and workflows The most powerful future for AI lies in human-AI collaboration 🗂 Topics We Cover The current state of AI in product developmentVibe coding vs traditional software engineeringAI as an idea generator versus an execution toolRisks and misconceptions around AI-built productsInternal AI automation and operational efficiencyAI’s impact on creativity, work, and the future of software development ⏱️ Chapters 00:00 Introduction to building products with AI01:30 The current state of AI in product development03:30 Vibe coding vs building software from scratch06:25 Where AI currently falls short08:00 Building parts of a product with AI10:00 AI in business operations vs customer products13:00 Misconceptions about AI startups16:30 AI as augmentation vs replacement18:40 The future of AI in product development28:40 Advice for companies considering AI

    34 min
  7. Ep 78 - Why Gamification Isn’t a Feature, It’s a Strategy

    FEB 26

    Ep 78 - Why Gamification Isn’t a Feature, It’s a Strategy

    In this episode of Tales from the Pros, Michael Georgiou and Eric Lawrence sit down with Imaginovation Co-Founder Pete Peranzo to unpack a topic that most product teams misunderstand: gamification. Too often, teams treat gamification like a cosmetic upgrade. Add some points. Throw in a leaderboard: a badge or two. But without a strategy, it can backfire fast. Pete shares real examples of what happens when gamification is implemented poorly, including a case where productivity actually dropped. The conversation explores why onboarding is the highest leverage place to design for behavior, how incremental updates sustain long term engagement, and why the next generation of the workforce will expect interactive, game-like systems by default. From SaaS platforms to internal tools to education software, this episode reframes gamification as a strategic design discipline rooted in psychology, data, and intentional product architecture. If you are building digital products and care about retention, engagement, and long-term value, this one is worth your time. 🎯 Highlights You Won’t Want to Miss Why simply adding points and badges can hurt more than helpWhat went wrong with Microsoft’s gamification attemptHow Salesforce increased training engagement by 500 percentWhy onboarding is the most powerful place to introduce gamificationThe real difference between gamification and building a gameHow small, consistent feature releases drive long-term retentionWhy Millennials, Gen Z, and Gen Alpha will expect gamified systemsWhere AI and personalization intersect with gamified product design 🎧 Listen and Subscribe Spotify: https://open.spotify.com/show/6QkUtrcNllUkqtq1fjlwnZ Apple Podcasts: https://podcasts.apple.com/us/podcast/tales-from-the-pros/id1371067192 YouTube: https://www.youtube.com/@Imaginovation/podcasts SoundCloud: https://soundcloud.com/talesfromthepros 💡 Key Takeaways Gamification only works when it aligns with user behavior and business objectivesPoorly implemented systems can reduce productivity instead of improving itOnboarding is your first and best opportunity to create engagementData should guide how and where gamification is introducedConsistent incremental updates keep users coming backThe future workforce expects interactive and motivating digital toolsAI will enhance gamification through personalization, not replace it 🗂 Topics We Cover Behavior-driven product designGamification in SaaS and internal platformsOnboarding strategy and retentionProduct iteration and incremental releasesGenerational shifts in technology expectationsThe future of AI and personalized digital systems ⏱️ Chapters 00:00 Introduction to Pete and why gamification matters02:27 Where most teams get gamification wrong05:23 Designing onboarding for engagement08:40 Case studies and real-world lessons13:16 Sustaining engagement with incremental updates17:21 Gamification in new versus existing products20:01 AI, personalization, and the future of digital experiences27:15 MagicTask and practical implementation

    28 min
  8. Building Businesses That Run Without You | Chris Ronzio | Ep 70 (A)

    FEB 6

    Building Businesses That Run Without You | Chris Ronzio | Ep 70 (A)

    In this episode of Tales from the Pros, Michael Georgiou sits down with Chris Ronzio, founder and CEO of Trainual, to talk about what it really takes to build a business that can grow without breaking. Chris shares his journey from starting his first business at 14 to running a nationwide operation and eventually launching Trainual, a platform designed to help small businesses document their processes, train their teams, and scale with confidence. Along the way, he explains why so many founders unintentionally build themselves into a job instead of a company. This conversation goes deep into systems, productivity, and leadership, covering everything from bootstrapping versus raising capital to creating operational clarity, protecting personal well-being, and defining success on your own terms.  If you are a founder or operator trying to get out of the weeds and build something sustainable, this episode offers practical insight you can actually apply. 🎯 Highlights You Won’t Want to Miss How Chris started his first business at 14 and scaled it nationwideWhy most founders accidentally create jobs instead of businessesThe real reason systems and documentation unlock growthBootstrapping versus raising capital, and when each makes senseHow customer stories fuel traction and brand credibilityPaid versus organic growth and how to build momentum earlyWhat operational efficiency actually looks like in practice 🎧 Listen and Subscribe Spotify: https://open.spotify.com/show/6QkUtrcNllUkqtq1fjlwnZ Apple Podcasts: https://podcasts.apple.com/us/podcast/tales-from-the-pros/id1371067192 YouTube: https://www.youtube.com/@Imaginovation/podcasts SoundCloud: https://soundcloud.com/talesfromthepros 💡 Key Takeaways Systems create freedom, not rigidityBootstrapping builds discipline before scaling with capitalCustomers are your strongest brand storytellersEfficiency improves when revenue grows faster than headcountProductivity comes from clarity, not longer hoursSustainable success requires boundaries, not burnout🗂 Topics We Cover Chris Ronzio’s entrepreneurial journeyBuilding and selling a service-based businessWhy Trainual was created and the problem it solvesBootstrapping versus venture fundingCustomer-centric growth and testimonialsPaid ads versus organic marketingProductivity, efficiency, and delegationDefining success beyond revenue ⏱️ Chapters 00:00 Chris Ronzio’s early entrepreneurial journey02:30 Building and scaling a nationwide video business05:40 Why systems and processes matter09:30 The origin story behind Trainual13:00 Bootstrapping versus raising investment17:00 Customer-first growth and testimonials20:45 Paid versus organic marketing strategies24:00 What operational efficiency really means27:30 Productivity, delegation, and avoiding burnout31:00 Defining success and collecting experiences

    35 min
See All (85)

5
out of 5
40 Ratings

About

Tales from the PROS is hosted by Michael Georgiou, Co-Founder, and Eric Lawrence, Director of Growth at Imaginovation, an award-winning app and software development company. Each episode dives into honest, unscripted conversations, hard-earned lessons, and educational insight into how to help bridge the gap between technology and people. If you’re a founder, exec, or innovator trying to navigate the tech world without getting burned, this podcast is your no-BS roadmap. Through real talk, personal stories, and insights from the front lines, you’ll pick up smarter ways to build software, steer clear of common mistakes, and choose the right partners in a crowded, often confusing space. Whether you’re scaling a startup, driving digital change at a larger company, or just love keeping up with tech innovation, Tales from the PROS brings you straight-shooting advice and inspiration without the fluff.

Information

  • Creator
    Michael Georgiou: Imaginovation, Co-founder, Tech Entrepreneur, Podcaster, Influencer
  • Years Active
    2018 - 2026
  • Episodes
    85
  • Rating
    Clean
  • Copyright
    © Imaginovation, LLC
  • Show Website
    Tales From The PROS