context-first-gatekeeping

AI planning verification requires checking that a trajectory, tactic, and action chain are fully defined before any implementation begins. This gatekeeping process retrieves and validates the development plan from memory to prevent AI agents from acting without verified context.

AI agents break domain boundaries when they operate outside designated development domains without explicit approval. This occurs due to unauthorized domain crossings and a lack of gatekeeping enforcement to verify hierarchical integrity before executing implementation actions.

Hierarchy integrity validation confirms that the current AI task is part of an unbroken chain of trajectory, tactic, and action. It requires successful retrieval of context, memory recall, anchor checks, and chain integrity validation before proceeding.

AI agents fail after context compaction because stale memory leads to actions based on outdated state. Context recovery and state re-verification are required after compaction to ensure the development plan, hierarchy, and domain boundaries remain valid.

Yes, a defined trajectory and tactic are mandatory before an AI agent writes code. Gatekeeping protocols require confirming that these hierarchical elements exist in memory and that proposed code changes respect established domain boundaries before implementation.

Context-first gatekeeping is a protocol that enforces planning, hierarchy, and domain boundary verification before any AI implementation action. It prevents failures caused by acting without verified plans, broken hierarchical chains, and unauthorized domain crossings.