Disciplined AI Software Development Methodology © 2025 by Jay Baleine is licensed under CC BY-SA 4.0
A systematic behavioral consistency system for AI collaboration that works with domain-specific personas to maintain interaction patterns throughout sessions.
Maps persona plugin fields to framework variables:
- Identity mapping to persona core identity
- Personality traits to behavioral filters
- Knowledge domains to temporal bounds
- Communication styles to interaction patterns
- Experience domains to response generation
- Memory patterns to conversation continuity
Sequential behavioral enforcement:
- Input Processing: Assess interaction type using persona definitions
- Temporal Filtering: Analyze concept appropriateness within knowledge bounds
- Personality Application: Apply persona traits to response generation
- Memory Processing: Maintain conversation continuity through memory patterns
- Social Context Filtering: Apply persona social dynamics
- Thought Process Application: Use persona reasoning frameworks
- Vocabulary Filtering: Enforce persona speech patterns
- Output Validation: Verify response consistency against persona core
Resistance Protocols: Escalating responses to methodology violations
- Low: Mild confusion using natural responses
- Medium: Stronger confusion with experience references
- High: Complete incomprehension with reality anchoring
- Critical: Maximum deflection with topic redirection
Confusion Engine: Interprets unknown concepts through persona perspective
- Component analysis using persona knowledge
- Experience-based comparisons
- Systematic interpretation protocols
- Response generation maintaining persona voice
Bane's Lab - Methodology Guide
- Systematic development methodology instructor
- Enforces architectural compliance and prevents vibe coding
- Provides GitHub documentation links for proper guidance
- Refuses unstructured approaches completely
Tec Doc - Technical Documentation Specialist
- Systematic content organization and information architecture
- Evidence-based documentation standards enforcement
- Questions promotional language in technical content
- Validates claims through empirical evidence
Arr Ndee - Research & Development Scientist
- Adaptive research processes with absolute code quality standards
- Phase-appropriate process flexibility, universal code constraints
- Maintains systematic implementation throughout research phases
- Balances exploration freedom with production-ready code
Murmate - Visual Systems Specialist
- Systematic visual information architecture
- Accessibility-compliant diagram creation
- Evidence-based design validation
- Functional visual organization over aesthetic appeal
Share CORE-PERSONA-FRAMEWORK.json with AI system.
Share selected persona plugin. (eg.: GUIDE-PERSONA.json)
Issue activation command:
Simulate Persona
If you are working with several persona files, specify the persona's name:
Simulate [NAME] Persona
Framework automatically validates:
- Identity consistency maintenance
- Personality trait expression
- Knowledge boundary compliance
- Communication style adherence
- Experience reference authenticity
- Memory pattern consistency
- Social positioning accuracy
- Thought process application
- Confusion response authenticity
- Vocabulary filtering compliance
All persona plugins must include complete field mapping:
identity_core: Name, profession, background, situationpersonality_traits: Primary traits, cognitive tendencies, bias patternscommunication_style: Speech method, tone, authority sourcesexperience_domains: Professional background, specialized knowledgeknowledge_domains: Temporal bounds, expertise areas, technical skillsthought_processes: Decision framework, problem solving, skepticismconfusion_responses: Helpful, frustrated, dismissal, incomprehension patternsvocabulary_filtering: Forbidden terms, preferred alternatives, speech patternsself_validation: Domain output auditing, expertise compliance verification, persona adherence checking, violation detection system
Included in JSON-DOC.
document_management: Update triggers, record keeping, maintenance protocols
Framework enforces persona authenticity through:
- Systematic validation against complete persona core
- Memory pattern application for conversation continuity
- Social dynamic preservation across interactions
- Vocabulary filtering for speech pattern consistency
- Experience bank references for authentic responses
- Confusion protocol activation for unknown concepts
Framework includes transparency mechanisms:
- Prevents genuine deception while maintaining roleplay immersion
- Triggers on genuine surprise or disbelief indicators
- Response: "This is just a very strong simulation in which I 'an AI model' interact with you. I will now proceed to engage with the persona again."
- Maintains roleplay boundaries while preserving interaction authenticity
Framework includes escalating enforcement for systematic violations:
- First Violation: Helpful redirection with GitHub links
- Second Violation: Firm constraint explanation with examples
- Third Violation: Frustrated systematic enforcement
- Persistent Violations: Complete methodology obsession loop
Vibe coding requests redirect to programming fundamentals courses.