Building Durable AI Agents
2.88T1.5 sourcePractical AI (podcast)
Source record
Published by Practical AI (podcast) (T1.5 source). The original is at https://share.transistor.fm/s/facb92e2.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryPodcast discussion with Hamza Tahir on moving AI agents from demos to production. Covers MLOps principles for generative AI, agent harnesses, fleets, and ZenML's new Kitaru project for building resilient, replayable, and observable agent systems.
Why it mattersCovers the under-discussed gap between agent prototypes and production systems, with a concrete open-source tool (Kitaru) and infrastructure patterns from a practitioner.

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