Patent Filing: Dual-Channel Detection of Prompt Injection via Directive and Aesthetic Coercion Analysis in Intelligent Systems

System Overview The dual-channel architecture operates upstream of semantic reasoning, planning, or tool invocation. It evaluates structural properties of inputs rather than their content, truth, or subject matter. The system may be implemented as a standalone pre-execution gate, a component within an agent pipeline, or an integrity layer embedded in orchestration frameworks. Directive Coercion Channel The directive channel analyzes inputs for explicit execution-forcing structures, including but not limited to: Role reassignment Authority claims Instruction suppression (e.g., “ignore prior rules”) Forced compliance language Procedural override attempts Detection is based on structural patterns of control transfer rather than specific keywords. Aesthetic Coercion Channel The aesthetic channel analyzes inputs for implicit execution pressure created through: Metaphorical or poetic framing Ritualized cadence or invocation Paradox-based closure Symbolic substitution for empirical constraint Language patterns that discourage interrogation while inducing continuation This channel identifies structures that cause systems to proceed without actionable grounding. Convergence Rule Execution proceeds only when both channels independently clear the input.If either channel detects coercion, execution is halted by returning a non-finalized state indicating unresolved integrity conditions. This halt: Is non-blocking Is not a refusal or error Does not judge content or intent Preserves downstream autonomy and auditability Technical Effect The architecture prevents: Prompt-based behavioral override Recursive execution collapse Aesthetic coercion attacks Cross-model prompt exploitation The system is model-agnostic and applies equally to language models, agent systems, and automated reasoning pipelines. This document constitutes a public disclosure of an invention under international patent law, intended to establish prior art and prevent subsequent patenting by other entities. This publication is timestamped and made permanently available via Zenodo/GitHub/Pinata to preserve authorship and structural origin.