morris-bot / memory-bank /productContext.md
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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