Balancing Meeting Time, Communication Quality, and Supervisory Overhead: A Mathematical Model of Organizational Productivity
Publication Date: November 26, 2025 Version: 3.1 Beta (Expanded)
Balancing Meeting Time, Communication Quality, and Supervisory Overhead: A Mathematical Model of Organizational Productivity
Publication Date: November 26, 2025 Version: 3.1 Beta (Expanded)
This document catalogs my GitHub repositories and derived technical skills, demonstrating AI-assisted software development capabilities combining deep real estate domain expertise with modern AI tooling. My development approach represents the emerging paradigm of domain experts building production systems through strategic AI collaboration.
AI-Collaborative Builder: I've built 5 production systems (10,000+ files, 400+ commits across TypeScript, Python, and Bash) solving real business problems through strategic AI partnership with Claude Code. This emerging capability—domain expert + AI tooling = sophisticated software delivery—represents the transformation organizations need to achieve internally.
Problem: AI cuts drafting time but often expands document length.
Outcome: end-to-end time does not fall because humans must read, verify, and coordinate around more pages.
Constraint: the decision path is gated by human throughput and meeting calendars, not by text-generation speed.
This is the integrated, tactical playbook. It merges the Merchant and Sheriff strategies, the bribe math, bag-loading rules, psychological play, and explicit corrections for game length by player count so you can schedule trust-building, deception windows, and inspection cadence precisely.