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-# 📚 **Aligna AI** — Human-AI Collaborative Communication Excellence
-
-> **Aligna is the definitive framework for AI agent communication and psychological safety** in review and collaborative environments. It focuses on building trust, empathy, and effective human-AI partnerships through research-backed communication patterns, moving beyond technical automation to address the human-centered aspects of AI collaboration.
-
----
-
-## 📌 Why This Project?
-
-**The Human-AI Communication Gap**: While AI systems excel at technical tasks, research shows "Human-AI collaboration is not very collaborative yet" (Frontiers, 2025). Current AI review systems lack:
-
-- **Psychological Safety**: AI feedback often feels judgmental rather than collaborative
-- **Trust Building**: Lack of transparency and explainability in AI reasoning  
-- **Empathetic Communication**: AI agents struggle with context-aware, emotionally intelligent interactions
-- **Dynamic Collaboration**: Most systems operate on simple command-response rather than true partnership
-
-**Aligna addresses this gap** by providing research-backed frameworks for AI communication excellence.
-
----
-
-## ❓ Curious?
-
-- Use our [Review Guidelines](REVIEW_GUIDELINES.md).
-- Apply the practical [Review Checklist](templates/review-checklist.md) immediately.
-- Measure improvements with our [Metrics Guide](METRICS.md).
-- Implement these practices via our [Usage Guide](USAGE_GUIDE.md).
-- Use the practical examples to guide your team.
-- Measure improvements using the provided metrics.
-- Implement via the Aligna framework.
-
----
-
-## 🎯 Our Goal
-
-**Transform AI-Human Collaboration**: Move from AI tools that "assist" to AI partners that "collaborate"
-
-- **Build Trust**: Through transparent, explainable AI communication patterns
-- **Ensure Psychological Safety**: Create environments where humans feel safe to question, challenge, and learn from AI
-- **Enable Dynamic Partnership**: Foster true co-creative relationships between humans and AI agents
-- **Deliver Empathetic Intelligence**: Help AI systems communicate with context-awareness and emotional understanding
-
-**Research Foundation**: Based on 2024-2025 studies from Frontiers, Microsoft Research, and leading AI collaboration frameworks.
-
----
-
-## ⏳ Wait — Aren't There Already Solutions?
-
-- If you know a great tool, checklist, or project that solves this, we would love to hear about it!
-- [Drop your suggestions or links here](../../issues/new?template=feedback-template.md).
-- Even just a quick link is appreciated!
-
-### 🔄 How Aligna Differs From Existing Solutions
-
-**Unique Focus on Human-AI Communication Excellence**:
-
-- **Beyond Technical Automation**: While tools like GitHub Copilot, CodeRabbit, and SonarSource focus on technical accuracy, Aligna addresses the communication and collaboration aspects
-- **Complementary to Safety Frameworks**: Works alongside guardrails systems (like our [guardrails-info project](../guardrails-info)) which handle technical safety - Aligna focuses on psychological safety
-- **Different from Instruction Design**: Unlike instruction pattern frameworks (like our [ai-instructions project](../ai-instructions)) which design how to instruct AI - Aligna focuses on how AI should communicate with humans
-- **Research-Backed Approach**: Based on latest 2024-2025 human-AI collaboration research rather than traditional review methodologies
-
-**Current gaps we uniquely address**:
-
-- **Psychological Safety in AI Feedback**: Creating trust and openness in AI interactions
-- **Dynamic Communication Patterns**: Moving beyond simple command-response to collaborative dialogue
-- **Empathetic AI Communication**: Context-aware, emotionally intelligent AI interactions
-- **Trust Calibration**: Building appropriate trust through transparency and explainability
-
----
-
-## 📋 Framework Integration
-
-**Aligna works as part of a comprehensive AI development ecosystem**:
-
-### Cross-Project Synergy
-
-```text
-User Need: "Improve AI System Quality"
-├── Technical Safety → [Guardrails-info](../guardrails-info)
-├── Instruction Design → [AI-instructions](../ai-instructions)  
-└── Communication Excellence → Aligna
-```
-
-### Core Focus Areas
-
-- **[Project Analysis 2025](PROJECT_ANALYSIS_2025.md)**: Complete strategic analysis and positioning
-- **Communication Frameworks**: Human-AI collaborative patterns
-- **Psychological Safety**: Trust-building and empathetic interactions
-- **Research Integration**: Latest 2024-2025 human-AI collaboration findings
-
----
-
-## 📚 Resources
-
-### Current Framework (Being Updated)
-
-- **[Review Guidelines](REVIEW_GUIDELINES.md)**: Core communication principles
-- **[Usage Guide](USAGE_GUIDE.md)**: Implementation strategies
-- **[Metrics](METRICS.md)**: Measuring communication effectiveness
-
-### Strategic Documentation
-
-- **[Project Analysis 2025](PROJECT_ANALYSIS_2025.md)**: Comprehensive analysis and future direction
-- **[Examples](examples/)**: Practical implementation examples
-
----
-
-## 🚀 Future Development
-
-**Phase 1 (Current)**: Content restructuring and focus refinement
-
-**Phase 2**: Framework development for psychological safety and dynamic interactions
-
-**Phase 3**: Research integration and evidence-based communication guidelines
-
-**Phase 4**: Cross-project coordination and ecosystem integration
-
-See [Project Analysis 2025](PROJECT_ANALYSIS_2025.md) for detailed roadmap and strategic positioning.