Tool Use – A.I. Conversations

Is traditional AI Product Management becoming obsolete? Elina Lesyk, AI consultant and host of the AI Ketchup podcast, joins Tool Use to explore how AI is fundamentally reshaping the product management workflow. We dive into the necessary technical skills for AI PMs, whether AI prototyping tools like Bolt and V0 are replacing classic methods, essential AI UX design principles, and the core skills defining effective AI product leaders. Discover common AI implementation pitfalls, strategies for gathering user feedback for AI products, and how to identify promising AI use cases without forcing the tech. Essential insights for product managers, builders, and anyone navigating the AI shift in building products.

Connect with Elina Lesyk:

AI Ketchup Podcast: https://pod.elinalesyk.com

LinkedIn: https://www.linkedin.com/in/elina-lesyk

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00:00:00 - Intro

00:07:55 - How Technical Do AI Product Managers Need to Be?

00:13:14 - AI Tools & Feedback Loops for Product Managers

00:23:39 - How AI is Changing Prototyping (Bolt, V0, Low-Code)

00:25:36 - Safety & Pitfalls in AI Implementation

00:31:08 - Designing AI User Interactions & Experience

00:41:21 - Identifying Promising AI Use Cases

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Tool Use is a weekly conversation with AI experts brought to you by Anetic.

Master AI education and boost AI literacy with insights from Dr. Stefania Druga, Google Gemini research scientist and creator of Cognimates. Explore how to use AI to learn about AI, effective strategies for teaching AI concepts to kids and adults, and the crucial role of hands-on tinkering. We discuss overcoming learning barriers, designing AI tools that augment creativity without stifling imagination (like smart toys vs. real-world learning), the nuances of anthropomorphizing AI, and the future of multimodal AI applications in education and beyond. Learn why user observation and custom eval sets are vital for building truly useful AI tools.

Learn more about Cognimates: http://cognimates.me

Dr. Stefania Druga's Publications: https://stefania11.github.io/publications/

Watch Stefania's AI Engineer Talk: https://www.youtube.com/watch?v=ySYLsoAhXmg

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00:00:00 - intro

00:02:40 - Barriers and Perception in AI Learning

00:06:00 - AI Learning Differences: Adults vs. Kids

00:10:37 - AI Literacy for Non-Tinkerers

00:14:31 - The Impact of Anthropomorphizing AI

00:23:37 - Principles for Building Creative AI Tools

00:33:05 - Common Misconceptions in Building AI Tools

00:42:41 - Core Principle for AI Entrepreneurs: Observe Your Users

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Flow engineering, AI workflows, and intelligent automation strategies for developers and AI builders. In this episode of Tool Use, we explore how orchestrating multiple AI steps transforms complex systems beyond simple prompt engineering.

Learn why most AI builders focus too much on crafting perfect prompts when real-world applications demand intelligent workflows. Discover Minki Jung's practical advice on decomposing tasks, designing ergonomic prompts, and building AI systems that actually work.

Key topics covered:

- How to think about AI workflows like Henry Ford's assembly line

- The difference between prompt engineering and flow engineering

- Practical techniques for decomposing complex AI tasks

- When to use LLMs vs. traditional programming in your workflow

- How to create memory and judgment within AI systems

- Tips for testing and evaluating AI workflows

Whether you're building AI content systems, tools, assistants, or decision engines, this episode will completely change how you approach AI architecture.

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00:00:00 intro

00:02:20 - What is Flow Engineering?

00:03:41 - Workflows vs Autonomous Agents

00:06:46 - The Henry Ford Approach to Workflows

00:10:26 - How to Decompose AI Tasks (7 Steps)

00:16:38 - Choosing the Right LLM for Each Step

00:21:44 - Pro Tips for Prompt Engineering

00:27:46 - Learning AI & Avoiding Hype (Focus!)

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This week, we explore why keeping humans in the loop is crucial for AI agent success. Discover how "outer loop agents" can transform unreliable 80% accuracy into enterprise-grade solutions through strategic human checkpoints.

Our guest, Dexter Horthy explains how human-in-the-loop systems enable AI to handle high-stakes tasks like infrastructure management, supply chain operations, and critical business decisions that would otherwise be too risky. Learn about the practical frameworks for implementing human oversight that major companies are already using to deploy AI safely and effectively.

If you're building AI agents or automations and struggling with reliability issues, this episode reveals the missing piece in your system design. Find out why the future of AI isn't about complete autonomy, but intelligent collaboration between humans and machines.

Check out HumanLayer:

https://www.humanlayer.dev/

12 Factor Agents:

https://github.com/humanlayer/12-factor-agents

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00:00 - Intro

00:53 - How Dexter Horthy Started Building AI Agents

07:02 - Why Human-in-the-Loop is Essential for AI Reliability

17:13 - Best Frameworks and Practices for Building AI Agents

22:22 - Model Context Protocol (MCP): Hype or Essential?

26:45 - Common Mistakes When Building AI Agents

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Want to build powerful A.I. apps faster than ever before?

In this episode of Tool Use, discover Mozilla.AI Blueprints—the new workflow designed to help you turn your AI concepts into fully functional apps in minutes, not weeks. Whether you're creating chatbots, productivity tools, or custom AI solutions, Mozilla.AI Blueprints simplifies the development process, enabling rapid prototyping.Learn step-by-step how Mozilla.AI Blueprints can accelerate your next AI project, reduce complexity, and help you deliver real-world applications quickly. Perfect for developers, entrepreneurs, and tech enthusiasts seeking the fastest path to practical, working AI apps.

Learn more about Blueprints:

https://blueprints.mozilla.ai/

LLM Commit Generator:

https://github.com/ToolUse/llmcommit

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00:00:00 - Introduction to Tool Use episode 33

00:02:15 - Alex Meckes' journey into AI

00:04:48 - Introduction to Mozilla AI Blueprints

00:08:00 - Getting started with Blueprints

00:11:30 - Community contributions and future blueprints

00:17:25 - Vibe coding tips and best practices

00:24:30 - Open source AI ecosystem needs

00:29:30 - Alex's favorite AI tools and blueprints

(generated by https://www.vibestamps.com/)

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Discover how AI is transforming the way we interact with computers, eliminating the need for traditional keyboards and enabling hands-free computing. In this episode, we explore how voice control, innovative AI tools, and even foot pedals are redefining our digital experiences. Learn about practical AI solutions for accessibility, productivity, and more, and get insights from our guest, an independent developer actively pioneering these advancements.

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01:59 - How AI Enables Hands-Free Computing

07:34 - Using a Foot Pedal to Control Your Computer

10:20 - The Future of Voice and AR in Computing

15:29 - How AI Could Revolutionize Community and Social Interaction

31:48 - Improving Productivity and Intentionality with AI

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This week, Mike and Ty explore the rapidly evolving AI landscape of 2025. They cover Google's impressive new image capabilities, OpenAI's computer vision API, and the rise of general agents like Manus. Join the conversation as they discuss agent-to-agent communication, the emotional connections possible with Sesame's voice AI, and how Deep Research is changing information access. Whether you're a developer, tech enthusiast, or just curious about where AI is headed, this episode gives you the insights you need to stay ahead of the curve. Discover which AI tools are making real impact and how they could transform your workflow and digital experience.Google - https://developers.googleblog.com/en/experiment-with-gemini-20-flash-native-image-generation/OpenAI - https://openai.com/index/new-tools-for-building-agents/Claude code - https://docs.anthropic.com/en/docs/agents-and-tools/claude-code/overviewManus - https://manus.im/Sesami - https://www.sesame.com/research/crossing_the_uncanny_valley_of_voiceFrancisco - https://x.com/fpinghamGet your daily curated AI news from Anetic Daily Intelligence Sign up at: https://www.anetic.coGet FREE AI tools pip install tool-use-ai Connect with us https://x.com/ToolUseAI https://x.com/MikeBirdTech https://x.com/FieroTy00:40 - Google's Native Image Input/Output Capabilities 06:41 - OpenAI Response API and Computer Control Features 12:26 - Manus: The First General AI Agent from China 24:06 - Claude 3.7 Sonnet and Claude Code Updates 28:58 - Sesame Voice AI: Crossing the Uncanny Valley 37:14 - Deep Research Tool Transforming AI ResearchSubscribe for more insights on AI tools, productivity, and the AI ecosystem.Tool Use is a weekly conversation with AI experts brought to you by Anetic.

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Struggling with inconsistent results from your AI apps? In this episode, learn how to build AI applications that deliver reliable, predictable, and trustworthy outputs every single time. We're joined by Viabhav Gupta, co-creator of BAML.

We dive deep into powerful techniques like structured outputs and effective prompt engineering—key practices used by top developers and industry experts. Gain insights into practical strategies and proven frameworks that will ensure your AI apps are consistent, efficient, and user-friendly.

Whether you're an experienced developer, entrepreneur, or just getting started with AI, this video will equip you with essential tips and best practices to elevate your AI projects to the next level.

Topics covered:

- Ensuring consistent AI results

- Mastering structured outputs

- Advanced prompt engineering techniques

- Practical methods to boost AI reliability

Learn more about BAML

https://www.boundaryml.com/

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2:27 - What is BAML?

16:17 - Implementing BAML in existing projects

28:42 - Prompt Engineering Tips

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Tool Use delivers weekly expert conversations, practical demos, and AI tools. We highlight tools you'll actually use, keeping you ahead of the curve. Follow now for fresh AI insights

Ever wonder why the most successful AI builders launch their projects before they're perfect? In this episode of Tool Use, we're joined by Adam Cohen Hillel—AI builder, hardware hacker, and community-driven creator—to explore the real reasons top creators ship early, the hidden pitfalls of hardware projects, and the incredible value of building openly. Discover practical insights on overcoming perfectionism, accelerating your learning through public feedback, and actually finishing the AI projects you've always dreamed of.

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00:40 - Adam's journey into AI

06:03 - What drives people's curiosity to build

15:37 - Adam's workflow and tools

32:53 - Security tips for developers

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Tired of wasting hours managing your inbox? In this episode of Tool Use, we explore how AI is revolutionizing email management with Sarah Allali, founder of Lobby AI. Discover how intelligent email agents can automatically process your messages, prepare meeting invitations, draft responses, and prioritize your communications without you ever opening your inbox. Learn the future of work orchestration as Sarah explains how AI assistants analyze your habits, understand your priorities, and handle the busy work of email management so you can focus on what truly matters.

Check out Lobby AI:

https://thelobby.ai

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03:59 - What makes AI email processing truly valuable

07:44 - How the system prioritizes important emails

12:17 - Knowledge work that can be delegated to AI

14:55 - Creating premium AI experiences

22:10 - Lobby AI demo

Tool Use is a weekly conversation about helpful AI tools you can use today, brought to you by Anetic.

This week we're joined by Nathaniel Whittlemore (NLW), founder and CEO of Superintelligent and host of the AI Daily Brief podcast, for an in-depth discussion on the current state of AI agents. We explore the evolving definition of AI agents, why getting caught up in technical definitions may be missing the point, and examine real-world use cases and limitations of AI agents in business today. NLW shares insights on why most companies are still best suited for single-purpose, specific agents rather than complex multi-agent systems, and discusses the challenges of AI adoption, from data readiness to employee resistance.

The conversation explores how companies are shifting from buying to building their own AI solutions, the cultural and leadership challenges of implementing AI agents, and predictions for AI agent development in 2025 and beyond. NLW also provides practical advice for staying up-to-date in the rapidly evolving AI landscape.

Check out Superintelligent

https://besuper.ai/

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00:49 - Definition of AI agents and their practical use cases

13:50 - Hallucinations in AI and impact on business adoption

18:19 - Common mistakes businesses make when implementing AI

25:01 - Cultural readiness for AI adoption

35:59 - Future of work: Everyone becoming managers of AI agents

Tool Use is a weekly conversation about helpful AI tools you can use today, brought to you by Anetic.

In this episode, we dive deep into the world of open source AI with Victor Miller from LLM360. Learn why open source data is crucial for training better AI models (and how it's shaping the future of robotics). Victor shares insights on TXT360 (a 15 trillion token dataset) and explains why data quality matters more than ever in AI development.Key topics covered:- Why open source matters in AI development- The relationship between data quality and model performance- The future of robotics as an AI application layer- How to get started building with open source AI- Practical advice for newcomers to AI developmentVictor also discusses recent developments in open source models, including DeepSeek, Sky T1, and S1, and shares his perspective on the future of AI applications in robotics and beyond.Get FREE AI tools pip install tool-use-ai Connect with us https://x.com/ToolUseAI https://x.com/MikeBirdTech https://x.com/FieroTy02:22 - What makes a good LLM training dataset 06:00 - The importance of open source in AI development 14:12 - MetaGene model for virus detection and public health 24:24 - Challenges and future of home roboticsTool Use is a weekly conversation about helpful AI tools you can use today, brought to you by Anetic.

This week we learn how to build production-ready RAG systems from Graphlit CEO Kirk Marple. Kirk shares crucial insights about knowledge graphs, reranking, and scaling RAG beyond basic implementations. Essential viewing for developers working with AI and large language models. Check out Graphlit https://www.graphlit.com/ Get FREE AI tools pip install tool-use-ai Connect with us https://x.com/ToolUseAI https://x.com/MikeBirdTech

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02:47 Comprehensive RAG Explanation 07:27 Chunking Strategies in RAG 26:12 Knowledge Graphs in RAG 37:32 Future Challenges and Complex Retrieval Need help implementing AI in your business? We're here to help! Send us a message

In this episode, we return to our demo roots with something special - an open source meeting transcriber and audio processor that runs 100% locally. We're tired of paying monthly subscriptions for basic tools, so we built WhisperBox. Please consider supporting the channel and purchasing the GUI version of Whisperbox https://tooluse.gumroad.com/l/whisperbox Get Whisperbox for free Code: https://github.com/ToolUse/whisperbox Install: pip install whisperbox Get FREE AI tools pip install tool-use-ai Connect with us https://x.com/ToolUseAI https://x.com/MikeBirdTech https://x.com/FieroTy 01:15 - Anetic announcement 04:44 - Whisperbox 08:52 - Demos 23:22 - AI News Discussion

AI education is changing forever. Hai Nghiem shows us Cats with Bats, an innovative platform that makes learning AI engineering faster and more intuitive. Watch how advanced features like code extraction, AI-powered video navigation, and agent instructions are transforming how developers learn AI engineering. From his experience running AI Tinkerers Ottawa to building educational tools, Hai shares insights on the future of AI education and engineering. Check out Cats with Bats https://www.catswithbats.com/ Get FREE AI tools pip install tool-use-ai Connect with us https://x.com/ToolUseAI https://x.com/MikeBirdTech https://x.com/FieroTy https://x.com/haithehuman https://www.linkedin.com/in/haiphunghiem/

Teams of A.I. agents are the future. Aaron teaches us about Mosaia, a platform for building teams of AI agents without any code. Check out Mosaia https://www.mosaia.io/ Get FREE AI tools pip install tool-use-ai Connect with us https://x.com/ToolUseAI https://x.com/MikeBirdTech https://x.com/FieroTy https://x.com/aaronwongellis

Graham Neubig, the Chief Scientist and Co-Founder of All Hands AI joins us to talk about OpenHands and the future of coding agents Links https://www.all-hands.dev/

https://github.com/All-Hands-AI/OpenHands

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Join Mike and Ty as they reflect on their first five months of Tool Use, discussing their favourite episodes, amazing guests, and lessons learned. In this special episode, they also make an exciting announcement... Install Free AI tools to make your life easier pip install tool-use-ai Connect with us https://x.com/ToolUseAI https://x.com/MikeBirdTech https://x.com/FieroTy (Mike thanks his niece for the lovely nails)

Francisco teaches us how Pampa Labs approaches bringing businesses into the age of LLMs Pampa Labs - https://www.pampa.ai/ Get the tools pip install tool-use-ai Connect with us https://x.com/ToolUseAI

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