A governance framework for tech leads, founders, and technical solopreneurs building long-lived systems in an AI-accelerated environment. This guide provides a structural decision model for when humans must anchor architectural work, when AI can safely draft bounded changes, and how to enforce behavioral guarantees during cross-cutting refactors. Includes the change-classification framework, refactor governance lane, validation criteria beyond green tests, and operational delegation rules designed to prevent architectural drift, token burn, and rewrite cycles.

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A technical deep-dive into the 2027 inflection point of Agentic AI. This analysis introduces the concept of 'Digital Telomere Decay' and provides a strategic framework for building 'AT Fields'—architectural constraints that preserve institutional sovereignty in a probabilistic age.

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