# 959: Building Agents 101: Design Patterns, Evals and Optimization (with Sinan Ozdemir)

Page: https://stenobird.com/podcast/super-data-science/959-building-agents-101-design-patterns-evals-and-optimization-with-sinan-ozdemir
Text version: https://stenobird.com/podcast/super-data-science/959-building-agents-101-design-patterns-evals-and-optimization-with-sinan-ozdemir.md
Podcast: [Super Data Science: ML & AI Podcast with Jon Krohn](https://stenobird.com/podcast/super-data-science)
Published: 2026-01-20T12:00:00+00:00
Episode link: https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4240128967.mp3?updated=1768895448
Audio file: https://www.podtrac.com/pts/redirect.mp3/chrt.fm/track/E581B9/arttrk.com/p/VI4CS/pscrb.fm/rss/p/traffic.megaphone.fm/SUPERDATASCIENCEPTYLTD4240128967.mp3?updated=1768895448
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JSON: https://stenobird.com/v1/public/podcasts/super-data-science/episodes/959-building-agents-101-design-patterns-evals-and-optimization-with-sinan-ozdemir
Duration seconds: 3889

## Resource

AI entrepreneur and bestselling author Sinan Ozdemir speaks to Jon Krohn about the practical differences between agentic AI and AI workflows, why evaluating accuracy on its own won’t tell you enough about AI models, and more about his latest book Building Agentic AI. This episode is brought to you by the ⁠⁠Dell⁠⁠, by ⁠⁠Intel⁠⁠, by Fabi and by Cisco. Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.superdatascience.com/959⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (04:57) Exploring the differences between workflows and agents (17:03) How to work out parameter count for a given task (25:26) The best way to evaluate LLMs (33:12) How to run hybrid workflow + agentic projects effectively

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## Transcript

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