prompt-engineering-system

What problem does it solve?

This system provides a structured, repeatable approach to building, validating, and deploying prompts for LLMs, turning ad-hoc prompts into an orchestrated workflow with reliable calibration and governance.

Core Features & Use Cases

• PROMPT_PACK orchestration: manages LLM prompts through a standardized pack, enabling consistent interaction with target models.
• META-KERN-PROMPT validation: enforces the bounded-packet contract for every input before execution.
• Kalibrierungs-Generator workflow: creates highly contextual, feedback-loop prompts that guarantee recipient calibration.
• Orchestrator integration: coordinates prompt generation, validation, and execution across multiple components (references, scripts, and models).

Quick Start

Initialize the system by loading the PROMPT_PACK and running the Kalibrierungs-Generator with your sender profile and task input to produce a calibrated prompt.