# Decoding Jason Davis' Professional Trajectory

Based on his LinkedIn experience, Jason Davis has a fascinating career arc that explains his current "bounded chaos" automation philosophy. Let me analyze the key patterns:

## Career Evolution

1. **Early Years (2005-2010)**
   - Field service and network operations roles
   - Developed foundational understanding of infrastructure extremes
   - Learned that "better technology ≠ adoption" (his BSD vs Linux comment)
   - Recognized the tension between productivity and technical debt

2. **Enterprise Scaling (2010-2018)**
   - AT&T, Kaiser Permanente, Charter Communications
   - Worked with critical infrastructure at massive scale
   - Developed appreciation for rigorous processes ("JC and his wall charts")
   - Learned from exceptional managers about leadership and raising standards

3. **Consulting Phase (2018-2022)**
   - Verizon, Zivaro, AWS
   - Exposure to global RFP processes and diverse OEM environments
   - "Chaos at scale" experience at AWS
   - Transition toward more strategic/consultative roles

4. **Current Entrepreneurial Phase (2022-present)**
   - Combining infrastructure automation with AI/LLMs
   - Focus on "structured chaos" through CUE/Jinja2/Go tooling
   - Boutique multidisciplinary solutions at Dynamic Impact Marketing

## Key Themes in His Approach

1. **Infrastructure as Code Meets Marketing**
   - His current work combines:
     - Rigorous config management (CUE)
     - Flexible templating (Jinja2/Go)
     - LLM capabilities
     - Marketing applications

2. **The "Bounded Chaos" Philosophy Comes From:**
   - Seeing over-engineering at Charter ("most favorite tech job")
   - AWS's scale challenges ("chaos at scale")
   - Verizon's global RFP processes
   - Kaiser's critical data center operations

3. **Why His System Works:**
   - Balances AT&T's rigorous processes ("gold standard team")
   - With AWS's need for flexibility at scale
   - While avoiding PHNS's "productivity creating tech debt" pitfall

## Practical Applications for You

Given his background, here's how to adapt his approach:

1. **Start Small But Structured**
   - Use his "CUE for configs + Jinja2 for templates" pattern
   - Example: Build a content generation system where:
     - CUE defines strict content guidelines
     - Jinja2 templates create variations
     - LLMs fill in the creative parts

2. **Raspberry Pi MVP Idea**
   - Create a "Policy-Driven Content Server":
   ```bash
   # Architecture
   CUE files → define content rules (character limits, brand guidelines)
   Jinja2 → website templates
   Python → LLM integration for dynamic content
   Docker → containerized deployment
   ```
   - Perfect for local marketing agencies

3. **Monetization Pathways**
   - Automated compliance documentation generator
   - Policy-aware content creation tools
   - Marketing infrastructure that "can't break brand guidelines"

Would you like me to develop one of these ideas into a more detailed technical blueprint? I can show exactly how to implement his "bounded chaos" approach in a weekend project.