profession:backenddeveloper|820
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Building an AI Assistant That Must Survive Production
Creating a convincing AI demonstration is very different from operating an AI application that employees depend on every day. A prototype may succeed with carefully selected examples, while a production system must cope with changing documents, permissions, unreliable integrations, ambiguous questions, cost limits, latency targets, and users who expect consistent results. The Project Situation Imagine…
A1, A2, agents, AIengineering, APIs, B1, B2, C1, C2, category:education|720, category:software|850, category:technology|860, english, evaluation, fill in theblanks, language, monitoring, productionAI, profession:backenddeveloper|820, profession:cloud engineer|800, profession:dataengineer|790, profession:machine learningengineer|900, profession:software developer|830, profession:softwarearchitect|900, profession:softwareengineer|850, profession:solution architect|890, profession:student|620, profession:technicalwriter|710, RAG, retrieval, security, softwareengineering
