CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions

Short summary

CogniConsole externalizes inference-time control—the computational layer governing task framing and context selection—into a structured interface combining programmatic coordination with bounded prompt-based reasoning. Across 489 controllability-oriented probes in a multi-step interactive environment, increasing structural scaffolding systematically reduced output variance and failure rates under a fixed model architecture. The findings show many LLM failure modes like context drift and inconsistent constraint adherence stem from under-specified control rather than insufficient model capability.

• •CogniConsole externalizes inference-time control as a first-class architectural abstraction for LLM systems
• •489 probes show structural scaffolding systematically reduces output variance and failure rates at fixed model capability
• •Many LLM failure modes (context drift, constraint violations) arise from under-specified control, not insufficient capability

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