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Practical AI LLC

Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more).

The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!

Practical AI: Machine Learning, Data Science

Dan and Chris sit down (again) with Jared Zoneraich, co-founder and CEO of PromptLayer, to discuss how prompt engineering has evolved into context engineering (and while loops with tool calls). Jared shares insights on building flexible AI applications, managing tool calls, testing and versioning prompts, and empowering both technical and non-technical users in AI development. Along the way, they dive into coding agents and the “crawl-walk-run” approach to AI deployment.

Featuring: 

 • Jared Zoneraich – 
LinkedIn • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Links:

PromptLayer
Upcoming Events: 

 • Join us at the 
Midwest AI Summit • on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the 
AI Engineering Lounge • , where you can sit down with experts for hands-on guidance. Reserve your spot today!
 • Register for 
upcoming webinars here • !

While loops with tool calls

In this fully connected episode, Daniel and Chris explore the emerging concept of tiny recursive networks introduced by Samsung AI, contrasting them with large transformer based models. They explore how these small models tackle reasoning tasks with fewer parameters, less data, and iterative refinement, matching the giants on specific problems. They also discuss the ethical challenges of emotional manipulation in chatbots.

Featuring: 

 • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Links:

Less is More: Recursive Reasoning with Tiny NetworksResearchers detail 6 ways chatbots seek to prolong ‘emotionally sensitive events’
Sponsors:

 • Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at 
AGNTCY.org • .
Fabi.ai • - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at 
fabi.ai • Miro – The innovation workspace for the age of AI. Built for modern teams, Miro helps you turn unstructured ideas into structured outcomes—fast. Diagramming, product design, and AI-powered collaboration, all in one shared space. Start building at 
miro.com
Upcoming Events: 

 • Join us at the 
Midwest AI Summit • on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the 
AI Engineering Lounge • , where you can sit down with experts for hands-on guidance. Reserve your spot today!
 • Register for 
upcoming webinars here • !

Tiny Recursive Networks

As AI systems move from simple chatbots to complex agentic workflows, new security risks emerge. In this episode, Donato Capitella unpacks how increasingly complicated architectures are making agents fragile and vulnerable. These agents can be exploited through prompt injection, data exfiltration, and tool misuse. Donato shares stories from real-world penetration tests, the design patterns for building LLM agents and explains how his open-source toolkit Spikee (Simple Prompt Injection Kit for Evaluation and Exploitation) is helping red teams probe AI systems.

Featuring:

 • Donato Capitella – 
LinkedIn • , 
X • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Links:

Reversec
Sponsors:

 • Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at 
AGNTCY.org • .
 • Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at 
shopify.com/practicalaiFabi.ai • - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at 
fabi.ai
Upcoming Events: 

 • Join us at the 
Midwest AI Summit • on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the 
AI Engineering Lounge • , where you can sit down with experts for hands-on guidance. Reserve your spot today!
 • Register for 
upcoming webinars here • !

Dealing with increasingly complicated agents

Daniel sits down with Chelsea Linder, VP of Innovation and Entrepreneurship at TechPoint, to explore the what AI innovation and impact look like on the ground. They discuss Chelsea's journey from the VC world into economic development/ innovation, the growth of an AI innovation network in Indiana (funded by the SBA), lessons learned from fostering AI communities, and how businesses are actually adapting to AI. Chelsea also shares insights from Techpoints AI workforce impact study, which explored AI related job creation and levels of AI adoption among other things.

Featuring:

 • Chelsea Linder – 
LinkedIn • 
 • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Links: 

Techpoint
Sponsors:

 • Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. 

 • Start your one-dollar trial at 
shopify.com/practicalaiFabi.ai • - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it.

 • Learn more and get started for free at 
fabi.ai
Upcoming Events: 

 • Join us at the 
Midwest AI Summit • on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the 
AI Engineering Lounge • , where you can sit down with experts for hands-on guidance. Reserve your spot today!
 • Register for 
upcoming webinars here • !

The impact of AI on the workforce: A state-level case study

Longtime friend of the show Rajiv Shah returns to unpack lessons from a year of building retrieval-augmented generation (RAG) pipelines and reasoning models integrations. We dive into why so many AI pilots stumble, why evaluation and error analysis remain essential data science skills, and why not every enterprise challenge calls for a large language model.

Featuring:

 • Rajiv Shah – 
LinkedIn • 
 • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Upcoming Events: 

 • Join us at the 
Midwest AI Summit • on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the 
AI Engineering Lounge • , where you can sit down with experts for hands-on guidance. Reserve your spot today!
 • Register for 
upcoming webinars here • !

We've all done RAG, now what?

In this episode, Daniel and Chris are joined by Chris Aquino, software engineer at Thunderbird to hear the story of how they developed a privacy-preserving AI executive assistant. They discuss various design decisions including remote (but confidential) inference, local encryption, and model selection. Chris A. does an amazing job describing the journey from "let the big LLM do everything" to splitting apart the workflow to be handled by multiple models. 

Featuring:

 • Chris Aquino – 
LinkedIn • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Links: 

ThunderbirdThunderbird Pro
Sponsors:

 • Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce.

 • Start your one-dollar trial at 
shopify.com/practicalai
Upcoming Events: 

 • Join us at the 
Midwest AI Summit • on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the 
AI Engineering Lounge • , where you can sit down with experts for hands-on guidance. Reserve your spot today!
 • Register for 
upcoming webinars here • !

Creating a private AI assistant in Thunderbird

In this Fully Connected episode, we dig into the recent MIT report revealing that 95% of AI pilots fail before reaching production and explore what it actually takes to succeed with AI solutions. We dive into the importance of AI model integration, asking the right questions when adopting new technologies, and why simply accessing a powerful model isn’t enough. We explore the latest AI trends, from GPT-5 to open source models, and their impact on jobs, machine learning, and enterprise strategy. 

Featuring:

 • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Links: 

The GenAI Divide: State of AI in Business 2025MIT Report: 95% of generative AI pilots at companies are failing
Sponsors:

 • Miro – The innovation workspace for the age of AI. Built for modern teams, Miro helps you turn unstructured ideas into structured outcomes—fast. Diagramming, product design, and AI-powered collaboration, all in one shared space. Start building at 
miro.com • Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce.

 • Start your one-dollar trial at 
shopify.com/practicalai
Upcoming Events: 

 • Join us at the 
Midwest AI Summit • on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the 
AI Engineering Lounge • , where you can sit down with experts for hands-on guidance. Reserve your spot today!
 • Register for 
upcoming webinars here • !

Cracking the code of failed AI pilots

Daniel and Chris sit with Citadel AI’s Rick Kobayashi and Kenny Song and unpack AI safety and security challenges in the generative AI era. They compare Japan’s approach to AI adoption with the US’s, and explore the implications of real-world failures in AI systems, along with strategies for AI monitoring and evaluation.

Featuring:

 • Rick Kobayashi – 
LinkedIn • Kenny Song – 
LinkedIn • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Links:

Citadel AI
Register for upcoming webinars here!

GenAI risks and global adoption

Dan and Chris break down Winning the Race: America's AI Action Plan, issued by the White House in July 2025. Structured as three "pillars" — Accelerate AI Innovation, Build American AI Infrastructure, and Lead in International AI Diplomacy and Security — our dynamic duo unpack the plan's policy goals and its associated suggestions — while also exploring the mixed reactions it’s sparked across political lines. They connect the plan to international AI diplomacy and national security interests, discuss its implications for practitioners, and consider how political realities could shape its success in the years ahead. 

Featuring:

 • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Links:

 • Press Release: 
White House Unveils America's AI Action Plan • Paper: 
America's AI Action Plan
Sponsors:

Shopify • – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at 
shopify.com/practicalai
Register for upcoming webinars here!

Inside America’s AI Action Plan

Allegra Guinan of Lumiera helps leaders turn uncertainty about AI into confident, strategic leadership. In this conversation, she brings some actionable insights for navigating the hype and complexity of AI. The discussion covers challenges with implementing responsible AI practices, the growing importance of user experience and product thinking, and how leaders can focus on real-world business problems over abstract experimentation.

Featuring:

 • Allegra Guinan – 
LinkedIn • Chris Benson – 
Website • , 
LinkedIn • , 
Bluesky • , 
GitHub • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Links:

Lumiera
Sponsors:

Shopify • – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at 
shopify.com/practicalai
Register for upcoming webinars here!

Confident, strategic AI leadership

There’s so much talk (and hype) these days about vector databases. We thought it would be timely and practical to have someone on the show that has been hands on with the various options and actually tried to build applications leveraging vector search. Prashanth Rao is a real practitioner that has spent and huge amount of time exploring the expanding set of vector database offerings. After introducing vector database and giving us a mental model of how they fit in with other datastores, Prashanth digs into the trade offs as related to indices, hosting options, embedding vs. query optimization, and more.

Join the discussion

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Sponsors:

Fastly • – 
Our bandwidth partner. • Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at 
fastly.comFly.io • – 
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fly.io/changelog • and check out 
the speedrun in their docs • . 
Typesense • – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! 
Changelog News • – A podcast+newsletter combo that’s brief, entertaining & always on-point. 
Subscribe today • . 

Featuring:

 • Prashanth Rao – 
Website • , 
GitHub • , 
LinkedIn • , 
X • Chris Benson – 
Website • , 
GitHub • , 
LinkedIn • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Show Notes:

Vector databases blog posts from Prashanth:

(Part 1): What makes each one different?(Part 2): Understanding their internals(Part 3): Not all indexes are created equal
Something missing or broken? PRs welcome!

Vector databases (beyond the hype)

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