Building GenAI Where Work Actually Happens

The article discusses how AI developers can integrate generative AI technology into core enterprise systems, beyond just creating standalone chatbots. It highlights two Udacity graduates who have applied skills from the Generative AI Nanodegree program to build practical AI solutions for businesses.

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The article discusses the evolution of AI development, where the goal is to move beyond creating standalone demo chatbots and integrate generative AI technology into the core systems that power organizations. It highlights two Udacity graduates who have applied the skills learned in the Generative AI Nanodegree program to build practical AI solutions for businesses. Karlos Morais built AgentERP, an AI layer designed on top of a full ERP backbone for small and medium businesses, using techniques like retrieval augmented generation, tool use orchestration, and structured reasoning to automate workflows. Peter Johnson used generative AI to overhaul the test failure triage process in a large engineering setup, making it much quicker and less manual. The article emphasizes the importance of focusing on production-ready implementation patterns, beyond just theory, to build efficient and reliable generative AI applications.