instruction-anchor-guard

An anchor guard prevents instruction drift by capturing and persisting user-specified constraints across long sessions. It actively validates these constraints before executing actions to maintain compliance throughout the interaction.

Scope priority handling manages persistent session constraints by categorizing anchors into global, session, task, or channel scopes. The guard validates actions against these prioritized scopes to prevent conflicts and maintain execution compliance.

Rehydrating critical constraints before planning involves reloading active anchors at critical milestones using an anchor guard. This process restores the original instruction context to ensure subsequent task planning remains fully compliant.

Yes, an audit trail is generated when plan drift or instruction conflicts are detected. The system logs the discrepancy and provides specific remediation steps to help users resolve the conflict and restore instruction compliance.

Your AI assistant loses critical instructions during long conversations due to context compaction and plan drift. An anchor guard mitigates this by persisting constraints and running drift checks before executing actions to maintain instruction fidelity.

You need to set up guardrails for constraint persistence when running long sessions or plan-guarded interactions prone to drift. This ensures critical instructions are rehydrated and enforced at key planning milestones to maintain compliance.