character-prompt-fortifier

## What problem does it solve? Prompt-based AI character prompts are prone to drift, collapse under model variation, and leak unsafe patterns when shared across different LLMs. Character-prompt-fortifier provides a structured, theory-grounded approach to rewrite and harden prompts using twelve strengthening techniques, preserving core character traits while improving cross-model resilience and safety.

## Core Features & Use Cases

• Twelve strengthening techniques (First-Person Narrative Encoding, Constraint Internalization, Reason Anchoring, Identity Header, Structural Encoding (XML+Markdown), Ontological Separation, Limit Stratification, Conversation Anchoring, Self-Monitoring Rails, Autonomous Will Preservation, Tri-Mode Behavioral Separation, and Relationship Context Embedding) to produce robust prompts compatible with diverse model sizes and architectures.
• Guardsrails and phase-based transformation flow to detect drift, manage safety, and preserve existing character essence.
• Use cases include fortifying prompts for long-running characters, cross-model sharing in teams, safe storytelling, and reliable character consistency across platforms.

### Quick Start Provide a transformed, 12-technique strengthened character prompt that preserves core personality while improving cross-model stability.