How to get discovered in AI search
AI search is changing how people discover information and how brands need to think about visibility.
Podcast profile
Practical AI
By Daniel Whitenack and Chris Benson
Making artificial intelligence practical, productive & accessible to everyone.
Latest episode
How to get discovered in AI search
55 min
- Cadence
- Weekly
- Typical length
- 47 min
- Latest release
- Sep 17
- Language
- EN-US
- Activity
- Current — released within 30 days
Podcast Classification
Topics
Generative AI
Systems that generate text, images, audio, video, software, or other new content.
Machine Learning
Model development, learning methods, prediction systems, and applied machine learning.
AI Agents
Autonomous and semi-autonomous AI systems that plan, use tools, and execute multi-step work.
Formats
Interview
Host-led conversation where a guest supplies most of the subject matter.
Technical Deep Dive
Detailed technical, architectural, or research-oriented examination.
Audience level
Advanced
Regularly assumes specialist knowledge and discusses implementation, architecture, protocols, code, or research in depth.
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Latest episodes
Episodes shown — 10 of 25
Computer-Use Agents and the Future of the Agentic Internet
Longtime followers of Practical AI know that multi-repeat guest and friend Demetrios Brinkmann combines brilliant insight and playful banter into one fun-filled show, and this conversion with Chris was no different. They had a blast!
Less about Models; More about Architecture
As AI moves from experimentation to enterprise deployment, are organizations thinking too much about models and not enough about architecture?
Building the Foundation for the Agentic AI Era
How do we build an AI ecosystem where agents, tools, and systems can work together at scale? Angie Jones, VP of the Agentic AI Foundation, joins Chris to discuss the open standards and projects shaping the agentic future, including MCP, A2A, Goose, etc.
AI Proficiency: From Users to Builders
As AI continues to reshape how organizations work, companies are increasingly asking what AI proficiency should look like across their workforce, and how they can help employees adapt without simply mandating AI adoption.
Models, Harnesses, and Multi-Agent Systems
AI has moved far beyond chatbots, but what exactly are AI models, agents, agent harnesses, and multi-agent systems, and why do they matter?
Reconstructing how OpenAI agents attacked Hugging Face
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.
Surviving the New Economics of a Post-Agentic World
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.
The Future of AI Infrastructure with CoreWeave
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.
Building Durable AI Agents
What does it take to move AI agents from demos to reliable production systems? In this episode, Hamza Tahir explores how MLOps principles are shaping the future of generative AI, covering workflows, agent harnesses, fleets, and the infrastructure needed to build durable, scalable systems.