Brief

A contextual AI development platform connects autonomous agents to live business context by surfacing decisions, constraints, customer needs, and strategic intent to guide coding workflows and ensure aligned outcomes. Its core features include a centralized context model that captures decisions and requirements, a context delivery protocol that feeds agents with relevant history, a product intelligence layer that translates strategy into executable code, and an engineering-friendly graph that links ideas to features, enabling faster delivery and scaled product thinking; it resolves information gaps, misalignment between technical work and business goals, and repetitive back-and-forth, and is designed for product managers, engineers, and AI practitioners who build software powered by intelligent agents.

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