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Podcasts

Practical AI

Hosted by Daniel Whitenack & Chris Benson

Applied AI engineering conversations, the right pitch for practitioners shipping AI in production rather than researchers publishing papers.

Panel Weekly 30–60 min· ~320 episodes· Started 2018
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Editorial take

Practical AI is the right podcast for engineers shipping AI features who don't want to spend the full hour on transformer attention math. Daniel Whitenack and Chris Benson focus on tools, deployment patterns, and the actual operational concerns of running AI in production. The Changelog network production values are clean. Less useful for cutting-edge research; the show consciously stays a few months behind the bleeding edge to talk about what works.

Last hand-checked 2026-05-15.

Listen if you …

  • you're a software engineer shipping AI features in production
  • you want practical patterns and tool reviews, not research speculation
  • you appreciate The Changelog network's tone

Skip if you …

  • you want the latest research the week it's announced
  • you prefer single-host interview formats to two-host conversation

About the show

Practical AI is part of The Changelog network. Daniel Whitenack (data scientist) and Chris Benson (industry AI lead) anchor conversations with practitioners, tool authors, and applied AI teams.

Episodes lean toward the engineering and operational side, model deployment, LLM ops, RAG patterns, vector databases, with regular check-ins on open-source tooling and accessible explanations of newer techniques.

Notable guests

  • François Chollet
  • Simon Willison
  • Hamel Husain

Pairs with

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