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A technical Twitter thread sharing principles for building high-performance vertical AI agents, using the Shortcut spreadsheet agent as an example. Key insight: treat context as a layered cache (L1/L2/L3) to minimize cost per task across the distribution.
A tweet criticizes current LLM architecture for wasteful recomputation due to order-dependent context, and proposes encoding context units separately to enable order-invariant, efficient caching and generation.