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 line
• The biggest misconception founders have about their product vision
• How to approach the first 60–90 days after launch
• Why your first customers are critical to shaping your product
• How to turn user feedback into meaningful product improvements
• The importance of prioritization and avoiding feature overload
• What it really takes to find product-market fit
• How to transition from experimentation to scalable growth

🎧 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

• An MVP is just the starting point. Long-term success depends on iteration and execution after launch
• Early customer feedback is one of the most valuable inputs for shaping your product direction
• Not all feedback should be acted on. Prioritization is critical to avoid wasted time and resources
• Product-market fit requires continuous testing, data analysis, and adaptation
• Revenue and retention are key indicators of whether your product is truly delivering value
• Scaling a product requires doubling down on what works and building repeatable growth systems
• Founders 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 growth
• Common misconceptions about MVPs and product development
• Getting your first customers and validating demand
• Using feedback to guide product decisions
• Finding product-market fit through iteration
• Avoiding feature creep and focusing on outcomes
• Building a scalable product and growth engine

⏱️ Chapters

00:00 Launching the MVP: The Beginning of the Journey
05:26 The biggest misconception about MVPs
09:46 Getting your first customers
18:01 Finding product-market fit
24:54 Scaling and growing your business

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 it
• Why AI is better at idea generation than full product execution today
• The difference between vibe coding and engineering-led AI development
• When it actually makes sense to build parts of a product with AI
• Why startups shouldn't rely on AI alone to build scalable platforms
• The biggest risks companies overlook when implementing AI
• How AI can dramatically improve internal workflows and operations
• Why the future of AI is likely augmentation, not replacement
  
  

🎧 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 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 development
• Vibe coding vs traditional software engineering
• AI as an idea generator versus an execution tool
• Risks and misconceptions around AI-built products
• Internal AI automation and operational efficiency
• AI’s impact on creativity, work, and the future of software development

⏱️ Chapters

00:00 Introduction to building products with AI
01:30 The current state of AI in product development
03:30 Vibe coding vs building software from scratch
06:25 Where AI currently falls short
08:00 Building parts of a product with AI
10:00 AI in business operations vs customer products
13:00 Misconceptions about AI startups
16:30 AI as augmentation vs replacement
18:40 The future of AI in product development
28:40 Advice for companies considering AI

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 help
• What went wrong with Microsoft’s gamification attempt
• How Salesforce increased training engagement by 500 percent
• Why onboarding is the most powerful place to introduce gamification
• The real difference between gamification and building a game
• How small, consistent feature releases drive long-term retention
• Why Millennials, Gen Z, and Gen Alpha will expect gamified systems
• Where 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 objectives
• Poorly implemented systems can reduce productivity instead of improving it
• Onboarding is your first and best opportunity to create engagement
• Data should guide how and where gamification is introduced
• Consistent incremental updates keep users coming back
• The future workforce expects interactive and motivating digital tools
• AI will enhance gamification through personalization, not replace it

🗂 Topics We Cover

• Behavior-driven product design
• Gamification in SaaS and internal platforms
• Onboarding strategy and retention
• Product iteration and incremental releases
• Generational shifts in technology expectations
• The future of AI and personalized digital systems

⏱️ Chapters

00:00 Introduction to Pete and why gamification matters
02:27 Where most teams get gamification wrong
05:23 Designing onboarding for engagement
08:40 Case studies and real-world lessons
13:16 Sustaining engagement with incremental updates
17:21 Gamification in new versus existing products
20:01 AI, personalization, and the future of digital experiences
27:15 MagicTask and practical implementation