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| # Product Context: Morris Bot | |
| ## Why This Project Exists | |
| ### The Problem | |
| Iain Morris from Light Reading has a distinctive, highly recognizable writing style that combines: | |
| - Deep technical telecom expertise | |
| - Cynical, doom-laden perspective on industry trends | |
| - Slightly irreverent tone that cuts through corporate marketing speak | |
| - Analytical depth that goes beyond surface-level reporting | |
| This unique voice is valuable but difficult to replicate manually, and there's educational value in understanding how AI can learn specific writing styles. | |
| ### The Solution | |
| An AI system that learns from Iain Morris's published articles to generate new content in his style, serving both educational and practical purposes. | |
| ## Problems This Solves | |
| ### For Telecom Professionals | |
| - **Content Inspiration**: Generate article ideas and perspectives in Morris's analytical style | |
| - **Industry Analysis**: Get Morris-style takes on new telecom developments | |
| - **Writing Reference**: Study how complex technical topics can be made engaging | |
| ### For AI Researchers | |
| - **Style Transfer Learning**: Demonstrate how AI can capture specific writing voices | |
| - **Fine-tuning Techniques**: Show practical LoRA implementation on consumer hardware | |
| - **Ethical AI Development**: Model responsible use of public content for educational purposes | |
| ### For Developers | |
| - **Apple Silicon Optimization**: Demonstrate efficient ML on M1/M2/M3 chips | |
| - **Memory-Efficient Training**: Show how LoRA enables training large models on modest hardware | |
| - **End-to-End Pipeline**: Complete example from data collection to deployment | |
| ## How It Should Work | |
| ### User Experience Flow | |
| 1. **Simple Interface**: User enters a telecom topic or trend | |
| 2. **Quick Generation**: AI produces article in 2-5 seconds | |
| 3. **Morris-Style Output**: Content captures his cynical, analytical voice | |
| 4. **Iterative Refinement**: User can adjust parameters and regenerate | |
| ### Content Quality Expectations | |
| - **Technical Accuracy**: Correct telecom industry knowledge and terminology | |
| - **Style Authenticity**: Recognizably "Iain Morris" voice and perspective | |
| - **Readability**: Well-structured, engaging articles suitable for industry publication | |
| - **Appropriate Tone**: Balance of expertise, skepticism, and subtle humor | |
| ### Interaction Model | |
| - **Topic Input**: Natural language descriptions of telecom trends/issues | |
| - **Parameter Control**: Adjustable creativity, length, and focus settings | |
| - **Batch Generation**: Ability to generate multiple variations | |
| - **Export Options**: Copy, save, or share generated content | |
| ## User Experience Goals | |
| ### Primary Users: Telecom Industry Professionals | |
| - **Quick Insights**: Get Morris-style analysis of industry developments | |
| - **Content Brainstorming**: Generate ideas for their own articles or presentations | |
| - **Perspective Diversity**: Access to Morris's unique analytical viewpoint | |
| ### Secondary Users: AI/ML Enthusiasts | |
| - **Learning Tool**: Understand fine-tuning and style transfer techniques | |
| - **Experimentation Platform**: Test different prompts and generation parameters | |
| - **Reference Implementation**: Study practical AI application development | |
| ### Tertiary Users: Journalism Students/Researchers | |
| - **Style Analysis**: Study distinctive journalistic voices and techniques | |
| - **AI Ethics**: Explore responsible use of AI in content creation | |
| - **Industry Knowledge**: Learn telecom industry perspectives and terminology | |
| ## Success Metrics | |
| ### Quantitative Measures | |
| - **Generation Speed**: Target 2-5 seconds per article | |
| - **Style Accuracy**: Target 90%+ recognizable as Morris-style | |
| - **Technical Accuracy**: Factually correct telecom information | |
| - **User Engagement**: Time spent using the interface, repeat usage | |
| ### Qualitative Measures | |
| - **Voice Authenticity**: Captures Morris's cynical, doom-laden perspective | |
| - **Content Quality**: Readable, engaging, professionally structured | |
| - **Educational Value**: Users learn about both AI techniques and telecom industry | |
| - **Ethical Compliance**: Proper attribution, educational use guidelines followed | |
| ## Current Reality vs. Vision | |
| ### What Works Now ✅ | |
| - Generates coherent, technically accurate telecom content | |
| - Fast generation on Apple Silicon hardware | |
| - Memory-efficient operation with LoRA adapters | |
| - Functional web interface for easy interaction | |
| ### What Needs Improvement ⚠️ | |
| - **Style Authenticity**: Only 70% Morris-like, needs more distinctive voice | |
| - **Training Data**: Limited to 18 examples, needs expansion to 100+ | |
| - **Topic Diversity**: Focused on telecom, should include Morris's broader topics | |
| - **Cynical Tone**: Lacks the full doom-laden perspective Morris is known for | |
| ### Vision for Phase 2 🎯 | |
| - **Enhanced Style**: 90%+ authentic Morris voice and perspective | |
| - **Broader Topics**: Dating, work, social media, health - all with Morris's cynical take | |
| - **Improved Training**: More examples, better prompts, optimized parameters | |
| - **Production Ready**: Reliable enough for professional content inspiration | |