In this episode, we're joined by Nikhil Suresh to explore why AI won't fix a company that lacks the systemic capability to ship software. We dig into corporate automation myths, proof-of-concept dopamine loops, foundational data engineering, the LLM hallucination problem, and why organizational feedback loops matter more than ever. Nikhil shares practical examples of analyzing ambulance records, managing cloud data infrastructure, and attempting to use language models for client communication, while Murray and Donna challenge the hype around AI automating entire corporate workflows and replacing engineering teams. Join us for a grounded and direct discussion about why real product delivery requires structural competence rather than chasing a magical tech bubble.

see https://www.linkedin.com/in/nik-suresh/

https://hermit-tech.com/

https://ludic.mataroa.blog/hits/

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