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ConceptAI Worker流派 / 场景驱动流派

AI Worker

An enterprise AI deployment methodology that decomposes an organization's AI transformation into multiple independent agents (Workers), each targeting a specific business pain point and addressing a clearly defined scenario. The approach emphasizes rapid iteration and direct, measurable impact, making it well suited for small and medium-sized teams seeking to validate AI use cases quickly.

Timeline (last 90 days)

Sep 29

The author organizes FDE implementation paths into two major schools: ontology-driven (the Palantir school) and scenario-driven (the AI Worker school).

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