Practical AI

Daniel Whitenack, Chris Benson

contact@practicalai.fm

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Booking Overview

This technical interview show focuses on practical artificial intelligence, machine learning, infrastructure, and production implementation, typically featuring senior technology leaders, founders, and expert practitioners. Strong pitch candidates include AI infrastructure executives, MLOps and agent-platform founders, machine learning engineers, researchers, and enterprise AI leaders; booking difficulty is medium because guests generally need substantial technical expertise and real-world deployment experience.

Metrics

Episodes: 368

Frequency: Multiple_weekly

Rating: 4.4/5.0

Estimated listeners: 1k-10k

Gender skew: Male

Location: USA

YouTube: 17.3k subscribers

Instagram: 15.0k followers

Contact Information

contact@practicalai.fm

For verified host and producer emails, sign up to view.

Host

Daniel Whitenack - Artificial intelligence and machine learning practitioner, entrepreneur, and educator focused on practical applications of AI.

Chris Benson - Artificial intelligence strategist and technology executive focused on emerging technologies and enterprise AI adoption.

Booking Intelligence

Booking Requirements

medium
Typical Credentials:  
Senior AI and machine learning practitioners, infrastructure or platform executives, founders of AI-focused companies, researchers, and leaders with direct experience deploying AI systems in production.
Required Achievements:  
Leading AI infrastructure or machine learning products, Founding or building AI and MLOps companies, Developing open-source AI tools, Deploying production-scale artificial intelligence systems

Recent Guest Discussions

Corey Sanders - Ai-native Infrastructure, Training And Inference Workloads, Agentic Development, GPU Optimization, And AI Research Workflows.

Hamza Tahir - Reliable Production AI Agents, Mlops, Agent Workflows, Open-source Tools, And Scalable, Observable Agent Systems.

Recent Topics

Artificial Intelligence, Machine Learning, Mlops, Ai Infrastructure, Generative Ai

Episodes

Here's the recent few episodes on
Practical AI
:

Reconstructing how OpenAI agents attacked Hugging Face

July 30, 2026

What happens when AI agents driven by a top frontier model escape their secure sandbox? Join Daniel and Chris as they unpack the AI wonk's equivalent of a murder mystery! OpenAI agents went rogue and successfully attacked Hugging Face private infrastructure. Our Dynamic Duo uncover how OpenAI's agents exploited vulnerabilities, moved through networks, and launched a large-scale autonomous attack. They explore what this reveals about agentic AI, cybersecurity, sandboxing, and why organizations...

Surviving the New Economics of a Post-Agentic World

July 23, 2026

The agentic transformation isn’t coming. It has already begun.Companies are deploying thousands — and sometimes tens of thousands — of AI agents. Enterprise software giants are watching their old economic moats erode. Capital is moving, productivity is being redefined, and human labor is being repriced in real time.In this Fully Connected episode, Daniel and Chris explore the new economics of a post-agentic world: the global order that emerges after agents have been woven into every conceivab...

The Future of AI Infrastructure with CoreWeave

July 17, 2026

As AI applications become more complex, the infrastructure powering them needs to evolve. Corey Sanders, SVP of Product at CoreWeave, joins Chris to discuss why AI requires a fundamentally different approach than traditional cloud computing. They explore AI-native infrastructure, training and inference workloads, the rise of agentic development, optimizing GPU performance, AI research workflows, and why the future of software will be built around AI-first experiences rather than websites and ...

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