the_information_nexus/personal/yml_distilled.md

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":

   # 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.