A11-Inspired Agent Framework

A framework for building AI agents that incorporates the 'vertical integrity' principles described in the article. It creates well-defined, model-readable data structures allowing for more predictable agent behavior, improved rule adherence, and robust handling of dynamic data sources. This improves agent accuracy, stability, and reduces the “context soup” problem commonly observed in LLM-based agents.

technology stack

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