Talking AI – Details, episodes & analysis

In this episode of the Talking AI Podcast, host Matt Page converses with Andrew Miller, an engineer turned designer turned product manager, who has developed the 'Prompt Driven Development' (PDD) methodology aimed at building software with large language models (LLMs).

Andrew describes how PDD distills best practices from traditional software development into a framework that allows individuals to build reliable, methodical software without coding. He shares his career journey and how the introduction of ChatGPT inspired his methodology.

The discussion includes a comparison between traditional and prompt-driven development workflows, the impact of AI on various software development roles, and the evolving roles in the tech industry.

Andrew also shares his experience in building and monetizing a successful product using PDD. The episode emphasizes the disruptive and transformative potential of AI in the software industry.

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Key Moments:

• The Aha Moment: Discovering AI's Potential
• From Developer to Designer to Product Manager
• The Magic of Chat GPT and Crew AI
• Understanding Prompt Driven Development (PDD)
• Contrasting Traditional Development with PDD
• The Future of AI in Software Development
• Building a Real Product with PDD
• Disruption in the Tech Industry

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Key Links:

• RealPage
• Connect with Andrew Miller on LinkedIn
• YouTube
• TikTok
• SubStack
• PDD

Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

In this episode, host Matt Paige chats with Celia Quillian about how everyday people can start using AI to simplify their lives. Celia shares her journey from discovering free tools like ChatGPT to applying AI for tasks ranging from travel planning to organizing daily routines.

The conversation breaks down practical tips for effective prompting and building habits with AI. Celia explains how giving clear context and using voice commands can transform simple tasks into major time-savers. She also covers how experimenting with AI tools can gradually build confidence and competence.

Wrapping up, the discussion looks ahead at AI’s future in both work and personal life. Celia talks about her new book, AI for Life, which offers actionable guidance on integrating AI into everyday tasks, helping listeners overcome fear of change and embrace new opportunities.

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Key Moments:

• Celia’s AI Journey & Background
• Adopting AI: Daily Habits & Tools
• Effective Prompting Techniques
• Boosting Productivity with Voice AI
• The Future of AI in Work & Life
• Book Launch: AI for Life
• Everyday AI Use Cases: Travel & Groceries

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Key Links:

• Greenlight
• Connect with Celia Quillian on LinkedIn

Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Generative AI may feel like the new kid on the block, but it's not as different from traditional machine learning as you might think.

In this episode of Talking AI, we’re joined by Simba Khadder, Co-Founder & CEO of Featureform, and Omar Shanti, CTO of Hatchworks AI, to discuss how generative AI builds upon established ML principles and infrastructure. We explore the misconception that it exists as its own little island, when in reality, we see a clear continuity between classic ML and newer AI technologies.

Simba and Omar break down the unique aspects of GenAI, such as prompting and large language models (LLMs), while also highlighting the shared foundations with traditional ML. They also touch on the evolution of retrieval augmented generation (RAG), the ML vs. GenAI lifecycle, and what MLOps teams should consider when it comes to driving value in a business.

Want to stay ahead in the fast-moving world of AI? Tune in to Talking AI where we break down the latest trends and tools in Generative AI, MLOps, and more. Subscribe now, and don't miss out on practical insights from industry experts. Let’s transform your data into real business impact!

Key moments:

• The similarities and differences between generative AI and traditional machine learning
• How prompts differentiate LLMs from earlier transformer models
• The challenges of implementing AI in production versus creating pilot projects
• How RAG has evolved and what it could mean for the future
• The importance of data as the core foundation for both traditional ML and generative AI
• How feature engineering in ML relates to embeddings in LLMs
• How an ML lifecycle differs from a GenAI one

Key links: 

• Featureform
• Connect with Simba on LinkedIn

Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Does generative AI have a place in the highly regulated world of life sciences, and can it produce value without compromising patient safety?

In this episode of the Talking AI podcast, host Matt Paige sits down with Matt Lewis, Global Chief AI Officer at Inizio Medical, to explore the delicate balance between innovation and risk in healthcare AI.

Matt brings a wealth of experience from his role at Inizio Medical, a powerhouse in the life sciences industry that balances scientific knowledge with cutting-edge technology like AI to transform medical communication and content.

He shares invaluable insights on how AI is transforming pharmaceutical research, biotech advancements, and medical device development.

Matt reveals Inizio’s strategy for prioritizing AI use cases, explaining why there's no one-size-fits-all approach in such a complex field. He also discusses how AI can save time in creating patient summaries and why personalization and custom AI tools are needed to produce complex content.

Key moments:

• Generative AI's potential in life sciences and the associated risks
• How augmented intelligence can enhance decision-making and improve patient outcomes
• Matt’s dual role in improving internal operations and supporting clients in AI adoption
• How to identify and prioritize AI use cases unique to each organization
• Practical applications of AI and how they can save time and improve understanding
• The limitations of off-the-shelf AI tools like ChatGPT and the need for tailored solutions
• Why personalization in AI is important to provide tailored content

Key links: 

• Inizio’s Website
• Connect with Matt on LinkedIn
• The Neuron
• OpenTools
• Superhuman
• One Useful Thing
• There’s An AI For That
• Regulated industries white paper Conor Grennan (Chief AI Architect, NYU) and Matt Lewis co-authored

Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

In this bonus episode of Talking AI, Omar Shanti, CTO of HatchWorks AI, breaks down how LangChain’s abstractions have both helped and hindered AI innovation.

He explains why these tools, while useful for quick starts, can sometimes make simple tasks harder as projects scale. The conversation highlights where LangChain shines and where it falls short.

Viewers will hear insights on why prompt engineering and tuning are more challenging than building agent tools. Omar shares how over-abstraction can cause issues when taking projects into production, leading many to rethink their toolkits.

If you’re working with LangChain or similar abstraction tools, this episode gives you practical advice on avoiding common pitfalls and understanding when these abstractions might not serve your needs.

Key Moments:

• Introduction to LangChain’s abstractions
• What is abstraction?
• LangChain’s pros and cons
• Challenges with LangChain in production
• Observability and orchestration
• How much orchestration do you need?
• Final thoughts on using LangChain

Key links:

• HatchWorks AI
• Connect with Omar on LinkedIn

Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Is AI-generated content really good enough to compete in the highly competitive world of search engine optimization? This was a question that Tim Hanson had early on in his AI journey, as many of us were experimenting with ChatGPT and other tools with varying results.

His solution? Penfriend.ai – a tool that generates articles based on proven content strategies without the need for traditional prompting. As Co-Founder and Chief Creative Officer, Tim joins the Talking AI podcast to delve into the world of AI-powered content and how Penfriend avoids the dreaded “AI wrapper” label.

We hear Tim’s journey of developing Penfriend, inspired by his background in SEO and experience constantly adapting to Google’s algorithm tweaks. He tells host Matt Paige about the top mistakes he’s seen marketers make when using AI, and how his solution is built to mimic the multiple complex decisions a human makes before writing an SEO article.

Tim's approach demonstrates that successful AI integration goes far beyond simple prompts, involving complex workflows, proprietary data, and a nuanced understanding of the target audience.

Key moments:

• Creating value with an AI solution
• The importance of effective prompting and not overloading AI with too many tasks
• Comparison of human decision-making in blog creation vs. using a single AI prompt
• Penfriend’s approach to using different AI models for specific tasks
• The non-linear process of keyword research and title selection in Penfriend
• How Penfriend uses different prompts for various blog sections
• Discussion on how AI is affecting SEO practices
• The biggest challenges and lessons learned when creating Penfriend
• What Tim’s most excited about in the future of AI content creation

Key links: 

• Penfriend
• Connect with Tim on LinkedIn

Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Gen AI promises to completely transform our world, from how we work to how we live. But do the core first principles in product management and strategy change with this new technology?

Join Matt as he digs into this question with Uday Kumar, Principal - Data and AI Product Management at Metashore. Uday shares his insights on maintaining core principles in product management while leveraging the new tools and technologies offered by generative AI. He emphasizes that while the fundamentals of understanding customer needs and solving problems remain unchanged, generative AI presents a new and compelling toolset.

They also discuss the potential of generative AI to revolutionize sectors like healthcare, fintech, and education by making complex technological solutions more user-centric and effective and highlight the importance of 'falling in love with the problem'—spending significant time understanding the issue before looking at the tools available to solve it. The conversation also explores how organizations can start integrating generative AI into their operations.

Key moments:

• Gen AI and product strategy
• Fundamentals of project management in the age of AI
• Challenges and opportunities with gen AI
• Implementing gen AI in organizations
• Data considerations and security in AI
• Strategic implications of gen AI
• The future of AI Agents and project management
• How to get in touch with Uday

Key links: 

• Metashore
• Connect with Uday on LinkedIn

Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

What if the future of work is not just about humans collaborating with machines, but about creating entire organizations that operate through AI agents?

In this episode of the Talking AI podcast, host Matt Paige unpacks this concept with Alan Wunsche, Managing Partner at Agentware AI and an expert in organizational change and emerging technologies. Together, they discuss the rise of "agentic organizations," where AI agents are not merely tools but integral members of the workforce, executing tasks autonomously and enhancing productivity.

Alan draws parallels between the current AI revolution and historical technological advancements, such as the printing press. He explains how organizations are beginning to give AI agents more agency, allowing them to take on responsibilities and make decisions that were once the domain of human workers. They also discuss the challenges organizations face in implementing AI agents, the critical role of HR leaders in managing the transition, and lots more.

Key moments:

• A look at ‘agentic organizations’
• Comparison of AI’s impact to historical technological revolutions
• A look at the transition of AI from assistant roles to autonomous agents
• The critical role of HR leaders in managing organizational change related to AI
• Insights into the challenges organizations face adapting to the advancements
• What the potential displacement of knowledge workers due to AI advancements could look like
• How to equip employees with new skills to thrive
• The evolving relationship between humans and AI agents
• Where people can connect with Alan

Key links: 

• Alan's Book
• Connect with Alan on LinkedIn

Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Welcome back to the first episode of season 3 of the Talking AI podcast, formerly known as the Built Right podcast!

We’re kicking off with Amir Behbehani, Founder and Chief AI Engineer at Memra, a platform that helps build, deploy, and automate workflow through AI. He and host Matt Paige look at some of the hurdles AI needs to overcome to fully integrate into enterprise, such as lack of proprietary data access and memory. Amir delves into the science behind these challenges and potential solutions. He introduces the concept of ‘agentic AI’ and the emergent AI stack, made up of five layers, aimed at enhancing AI functionality through memory management, data orchestration, and agentic reasoning.

They also discuss the role of vector and graph databases, the importance of memory and context, and exploring future use cases in a marketplace with agentic AI. Amir also speculates on the transformative potential of AI in the future labor market - hinting at more entrepreneurial endeavors as individuals leverage AI for improved productivity and automation.

Enjoyed this episode? Don't forget to subscribe to our podcast for more insightful discussions on the latest in AI technology! Follow us on social media for updates and exclusive content. Your feedback matters—leave us a review and let us know what topics you'd like to hear about next!

Key moments:

• Introduction to Amir and Memra
• Challenges with current LLMs
• Emergent AI stack overview
• Layer-by-layer breakdown of the AI stack
• Agentic AI and memory management
• Future of work with agentic AI
• The future of Memra

Key links: 

• Memra
• Connect with Amir on LinkedIn

Mentioned in this episode:

AI Opportunity Finder

Feeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you’ll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action. 👉 Try it now at https://hatchworks.com/ai-opportunity-finder/

Welcome to the Talking AI podcast, where we dive deep into the world of artificial intelligence with host Matt Paige. Formerly known as the Built Right podcast, Talking AI brings you insightful conversations with AI experts, founders of AI products, and industry leaders who are leveraging AI in their businesses. Whether you're an AI expert or a beginner, our episodes will help you understand how AI technology works and how early adopters are deriving value from it. New episodes drop starting August 6th.

Key links:

• Talking AI