Responsible AI is no longer just a theory—it's a necessity. In this episode of The Founder's Foyer, we sit down with Aishwarya Srinivasan to explore how organisations are tackling ethical AI in real-world environments.

This discussion covers deep and practical insights into data privacy, copyright, enterprise integrations, and the future of agent-based systems. If you're building with AI or implementing LLMs in your org, this episode is a must-watch.

Learn how AI adoption, compliance, and governance must go hand-in-hand to shape innovation responsibly.

Timestamps:00:00 – Introduction: Why Responsible AI Matters 02:42 – Data-Centric AI vs. Theory: Applying Ethics in Practice 07:35 – Copyright & Model Training Dilemmas 11:40 – Post-Training, Filters & What Data Should Be Used 16:10 – Role-Based Access & AI in Enterprise Workflows 22:25 – Productivity Tools & Data Privacy Risks 29:20 – Agent vs Automation: What’s the Difference? 35:10 – Human-in-the-Loop: Where It Matters Most 41:00 – Real AI Use Cases: Sales, GTM, and Non-Tech Teams 48:00 – The Need for Cross-Functional AI Literacy 52:45 – The Challenge of Data Silos and Integration 58:10 – Final Thoughts: Building Trustworthy AI Systems

How AI-driven development tools like Bolt are revolutionising the way entrepreneurs build and launch apps. 

This discussion highlights groundbreaking real-world examples, from reducing costs by 99% to accelerating product development from months to weeks. 

Learn how non-developers are creating full-stack apps and CRMs with ease, leveraging AI to bring ideas to life faster than ever before. 

Speed is key, and Bold is leading the way in this new era of rapid innovation.

00:00 – Introduction

02:45 – The Viral Hooks App Case Study

06:10 – From $5,000 to $50: Cost & Time Revolution with Bolt

08:50 – AI-Powered CRM Case Study (Built in 3 Weeks)

15:40 – Speed is the Biggest Competitive Advantage

19:10 –  Bolt vs Big Tech

23:00 – Real-Time Feedback & Prototyping with AI

26:00 – Bolt’s Open Source Edge & Model Integration

30:50 – End Users Don’t Care About Models—Only Results

33:20 – Bolt’s Rise to Market Leader in Web-Based Code Gen

36:15 – Bolt for Everyone: From Personal Sites to Full SaaS

39:00 – The Journey: Building Bolt & Going Viral

42:00 – What Makes Great Founders?

44:50 – The Vision: Building Apps as Easily as Designing in Canva

In this episode, Colin dives into the world of AI-powered coding tools and shares

actionable strategies for building projects efficiently. Whether you’re a developer or

a non-technical founder, learn how to choose the right tools (like Replit, Bolt,

Lovable, and V0), structure your workflow, and avoid common pitfalls.

*Why planning beats jumping straight into code

* When to use mock data vs. backend integrations

* Tool comparisons: Replit (full-stack), Bolt (prototyping), Lovable (non-technical),

and V0 (styling)

* The importance of validating ideas before scaling

Timestamp:

00:00 – Introduction

05:34 – Choosing the Right AI Coding Tool

09:47 – Why Planning Before Coding Matters

20:07 – Strengths & Weaknesses of AI Coding Tools

30:51 – AI for Non-Technical Founders

36:50 – Frontend vs. Backend: What to Build First

47:29 – The Reality of Building SaaS & AI Products

50:17 – The Smartest Way to Validate Your Idea

56:30 – The Future of AI Coding & Development

01:00:00 – Conclusion & Key Takeaways

00:00 - Intro: The Role of AI as a Thought Partner02:54 - Moving Beyond AI for Drafting: A Productivity Shift06:08 - Using AI for Conversations and Decision-Making09:48 - Project Knowledge: Uploading Context for Better AI Responses13:41 - The Truth About Prompt Engineering16:03 - Iterative AI Interactions: Refining Responses21:01 - AI as a Thought Partner: A Self-Driving Car Analogy29:46 - AI for Web Apps: Where Are We Now?37:27 - AI as a Nutritionist: A Surprising Use Case44:57 - Consuming News with AI: The Second Mouse Gets the Cheese

Tal Raviv has been a  hands-on product manager & technical founder for 15+ years at hyper growth companies, always among the first PMs. He’s a Gen AI PM, and has been on the early teams of Patreon, Riverside, Wix, AppsFlyer, DuckDuckGo. He teaches one of the most popular PM courses in Maven focused on building your own AI copilot, which we’re going to dive into today. 

We dive deep into how AI can be used as a thought partner, not just a tool for drafting documents. Whether you're a product manager, content creator, or AI enthusiast, this video will help you rethink how you interact with AI to maximize productivity, creativity, and decision-making.🔹 Learn why AI is more than just automation🔹 Discover the power of iterative AI interactions🔹 Understand how project knowledge enhances AI responses🔹 Explore unexpected AI use cases, from nutrition to filmmaking🔹 Find out why prompt engineering is overrated

00:00 Intro to Harold

01:30 Harold's Journey into No Code

04:11 From No Code to AI

06:34 Overcoming Analysis Paralysis in AI Building

10:43 Starting Small with AI

16:14 Building with AI Insights

25:57 Learning from AI Errors

27:28 The Importance of Practice in AI Learning

29:08 Building and Collaborating with AI

30:14 Personalizing AI Workflows

32:28 Challenges and Future of AI Tools

41:09 Advice for AI Tool Founders

If you're looking to get started with AI building, here's a special discount for you:

https://maven.com/no-code-ai/no-code-ai-bootcamp?promoCode=FOUNDERSFOYER

https://maven.com/no-code-ai/coding-with-ai?promoCode=FOUNDERS-FOYER

Product building has been democratized with AI—from PMs, developers and designers to exec leaders, everyone’s been eyeing on how to ride the AI wave and ensure they’re up to date with what it takes to grow in this new economy. The latest in that journey is how AI coding agents have been remarkable in helping people go from ideas to working prototypes in hours and days.

Harold Dijkstra is currently building the 100 School—making tech and AI skills accessible for anyone with ideas. With helping more than 41k+ builders across the globe, their online approach has been super helpful for creators and builders to ship prompts to products.

00:00 Intro about Matty Shimura

02:54 Matt's Journey: Traditional Filmmaking to AI

04:25 The Power of GenAI Tools Today 

07:18 Challenges and Opportunities in AI Filmmaking

12:09 The Future of AI in Media

20:44 Community and Collaboration: The Magic Sauce in AI 

20:51 Monetizing AI Filmmaking—Brands & Corporations

27:59 The Role of Contests and Competitions

35:55 The Debate on AI and Creativity

41:03 Future Jobs in AI Filmmaking

While there’s news about new AI companies everyday, beyond that, we’re actually seeing people explore the value behind AI—what to do and where to put AI to good use. One such direction is art and films. With generative image and video models getting better, it’s now possible to convert any idea into script and a fully-functional creative media.

Matty Shimura is an Executive Producer specializing in AI-driven film and television at Civitai. His work has been featured by organizations such as Meta, Tribeca Film Festival, Cannes Film Festival, AT&T Shape Create-a-thon, and C-SPAN. He leads initiatives to make AI tools more accessible and equitable for creators worldwide—helping artists reduce bias, amplify diverse voices, and unlock new dimensions of storytelling. 

how AI tools are democratizing creativity, offering new opportunities for both traditional filmmakers and aspiring creators. They discuss the impact of AI on job roles, the nuances of storytelling with AI, and the importance of community in navigating this rapidly evolving landscape.

00:00 Meet Carlos

We chat about Carlos's journey from his early days in Spain to founding Product School in Silicon Valley, the evolution of the product management community, and the impact of AI and new trends in the product space. Carlos shares his insights on building a community-led company, the importance of continuous learning, and how Product School is reshaping education in the tech industry.

00:00 Introduction to Matthew Dicks

00:00 Welcome to the Founders Foyer

0:00 - Introduction to Ben Lang

2:10 - Power of Communities

5:30 - Ben Lang's Notion Journey

9:15 - Corona Crash: Bringing People Together

12:45 - Notion: Finding and Empowering Superusers

16:25 - Community Strategies and Challenges

20:00 - Influencer Marketing and Content Creation

25:50 - Metrics and Success Indicators for Scaling Communities

30:10 - Transitioning to Nextplay

35:30 - Building Connections & Belonging

38:45 - What's up for Nextplay

Meeting like-minded folks from our circles is such a fun thing to do—the way we exchange ideas, talk to each other, get inspired, and use the accountability that comes with commitment; these are all the upsides to a great group. Building an idea into a product is so much about cultivating taste in people, riding by their motivations, and helping them belong in a group of other similar folks. How to bring people together with the right intent, why to build community and how to thrive those communities for the long game? Ben Lang is a builder and community lead, who enjoys bringing people together and helping them find opportunities and interests to work. He formerly led Notion’s community and was one of the early marketing hires there.

Ben loves building stuff, and his template gallery side project attracted nearly 70,000 visits per month even before he made a move to Notion. He is currently building Next Play—the best way to discover what’s next with curated opportunities, gatherings, and content.