Deterministic Dual-Layer Architecture for Genome-Constrained AI Execution and Provenance-Tracked Content Synthesis

A method for controlled artificial intelligence content generation, comprising:

• executing a deterministic execution engine in a first control layer via one or more processors to process scripts defining content generation workflows, a script including a plurality of deterministic instructions and one or more AI invocation instructions syntactically distinguished from the deterministic instructions by a designated keyword within the script, the deterministic execution engine executing the deterministic instructions algorithmically and pausing deterministic execution upon encountering an AI invocation instruction;
• transmitting a constrained context comprising at least a subset of the validated token catalog relevant to the AI invocation instruction to an AI model interface, the constrained context determined by accessing a second control layer including a validated token catalog stored in a structured data store on a storage device and defining a finite set of permissible token sequences;
• receiving from the AI model interface a token sequence selected from the subset, the token sequence representing an atomic content element and being associated with provenance metadata identifying a source from which the token sequence was derived;
• resuming execution of subsequent deterministic instructions in the script after the token sequence is received;
• and
• determining a synthesized content item based on the deterministic instructions and the token sequence.

One or more non-transitory computer readable media having instructions stored thereon for performing a method for controlled artificial intelligence content generation, the method comprising:

• executing a deterministic execution engine in a first control layer via one or more processors to process scripts defining content generation workflows, a script including a plurality of deterministic instructions and one or more AI invocation instructions syntactically distinguished from the deterministic instructions by a designated keyword within the script, the deterministic execution engine executing the deterministic instructions algorithmically and pausing deterministic execution upon encountering an AI invocation instruction;
• transmitting a constrained context comprising at least a subset of the validated token catalog relevant to the AI invocation instruction to an AI model interface, the constrained context determined by accessing a second control layer including a validated token catalog stored in a structured data store on a storage device and defining a finite set of permissible token sequences;
• receiving from the AI model interface a token sequence selected from the subset, the token sequence representing an atomic content element and being associated with provenance metadata identifying a source from which the token sequence was derived;
• resuming execution of subsequent deterministic instructions in the script after the token sequence is received;
• and
• determining a synthesized content item based on the deterministic instructions and the token sequence.