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• Current GeoAI capabilities like satellite image captioning and visual question answering have not translated into productivity gains for GIS practitioners.limitation 85%
• The gap in productivity is not due to model capability alone but the absence of an agency layer that supports iterative collaboration.technical 80%
• The paper proposes a vocabulary of 9 primitives for an agency layer in GeoAI assistants.method 90%
• The proposed primitives include navigation, perception, geo-referenced memory, and dual modeling.method 85%
• The paper presents a benchmark that measures human productivity for GeoAI agency primitives.method 80%
• GIS practitioners spend most of their time producing vector layers, raster maps, and cartographic products.market 75%
• The goal is to create a vocabulary that makes agentic assistance in GIS implementable, testable, and comparable.technical 90%
• Agency primitives are needed to connect Foundation models to artifact-centric, human-in-the-loop workflows where GIS practitioners work.technical 80%

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