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This article introduces iLands, a project exploring autonomous AI agents as persistent social and economic entities with memory and real-world context, rather than mere task executors.
A reflection on building a locally hosted AI chatbot for volunteers at a social organization in Rotterdam, emphasizing that when AI mistakes have real consequences (e.g., giving outdated shelter information to homeless individuals), the design and engineering approach must be fundamentally different from low-stakes contexts.