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BLCKMGC is building an AI identity and orchestration layer for the multi-LLM era. As AI adoption accelerates, users increasingly rely on multiple models. However, personalization remains fragmented and platform-locked. AI resets every session, forcing users to repeatedly provide context and preferences. BLCKMGC introduces a persistent, user-controlled AI identity that works across models. By injecting structured personal context into different LLMs and orchestrating responses, we enable consistent, privacy-first personalization without vendor lock-in. We see this as foundational infrastructure for the next stage of AI — where identity, interoperability, and data ownership become core primitives. Our goal is simple: AI should adapt to people, not the other way around. Your data. Your rules. Your AI.

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