Local Caching and Preloading

An engineering strategy for AI applications that stores a user's recent interaction context (conversation history, frequently used documents, personal preferences) locally and preloads resources when the network is available. It relies on offline-first technologies such as local databases and Service Workers to maintain continuity of experience when the network is unavailable.