Jason Agee

Founder & Chief Executive Officer

First Call Group, Inc.

LinkedIn Substack

About the Founder

Jason Agee is the Founder and Chief Executive Officer of First Call Group, Inc. He is a mission-critical infrastructure and data center executive with more than 25 years of experience spanning data center operations, capital program delivery, infrastructure engineering, compliance-driven environments, and global program governance.

His background includes global infrastructure leadership, hyperscale data center project delivery, operational sustainability, lifecycle governance, power and cooling strategy, DCIM and controls integration, and executive alignment across engineering, operations, finance, deployment, and partner organizations. Earlier roles included large-scale infrastructure program ownership at Amazon, hyperscale data center delivery, Tier-focused operational governance, and cyber/SCADA modernization supporting electric utility infrastructure and compliance requirements. His work is grounded in standards-aligned practice across TIA, Uptime, NFPA, NIST, and related mission-critical operating frameworks.

Today Jason focuses on AI data center architecture and power-platform leadership — grid-to-chip strategy, high-density infrastructure, capital-aligned deployment, and repeatable, campus-scale reference architecture for next-generation AI environments.

Co-Founder

Angie Agee

Co-Founder & Chief Operations Officer

Angie Agee co-founded First Call Group and serves as Chief Operations Officer. She brings a cybersecurity leadership background spanning detection engineering, security operations, insider risk governance, and executive-level risk translation for regulated and mission-critical environments, alongside operational coordination across FCG's growth.

Angie Agee on LinkedIn Substack

Selected Writing by Angie Agee

Published on angieagee.substack.com.

Perspective & Thought Leadership

Jason writes prolifically on the engineering, systems, and governance challenges behind modern AI data centers. A consistent theme runs through his work: the hardest problems in AI infrastructure are not purely technical — they are capital, governance, regulatory, and lifecycle architecture problems. His white papers examine how power systems, thermal and fluid management, structural design, supply-chain concentration, compliance, and orchestration converge to determine whether a facility can actually scale.

"Hyperscale AI infrastructure no longer fails at the rack. It fails at the manufacturing footprint, procurement model, and governance layer."

Published White Papers

48 titles

Published on jasonagee.substack.com.

Orbital and Cislunar AI Factory Infrastructure A Senior Infrastructure Perspective on the 2026–2050 Architectural, Capital, and Governance Envelope
The Server PSU and Power Systems Space Market Structure, Material System Competition, Supply Chain Constraints, and Architectural Integration for AI Rack Power Delivery, 2026–2035
The Structural Envelope of the Pre-Populated AI Module Steel-vs-Aluminum, Multi-Module Sealing, and the Floor System Under Liquid Cooling
The Compliance Gap Why UL 2755 Listing Does Not Substitute for NFPA Compliance in Modular AI Data Center Deployments
Where Smoothing Belongs: White-, Gray-, and Black-Space BESS Topology A Decision Framework for Pushing Energy Storage Outward as AI-Factory Build Size Scales
The Secondary Loop Is Not a Pipe It Is an Instrumented Three-Variable System
The Fluid Conditioning Mandate Filtration, Water Chemistry, and Materials Compatibility as a First-Class Architectural Specification for AI Factory Cooling
The Inference-versus-Training Reliability Split A Workload-Anchored Reliability Framework for AI-Era Data Center Programs
Geographic-Separation Sole-Source Doctrine Reconciling Hyperscale Resiliency with Single-OEM Operating Economics
The Transient Load Problem Why Behind-the-Meter Generation Still Needs BESS
Orchestration as Control-Layer Architecture An Owner-Side Reference for Governing the Grid-to-Chip Control Plane
The Channel Gate How NVIDIA's Validation Architecture Governs the AI Factory Economy
What Gets Operationally Harder as AI-Ready Data Centers Scale An Executive Reference on the New Operating Model for High-Density, Liquid-Coupled Infrastructure
The Pre-Engineered Secondary Network The Coming OEM Battleground from CDU to Cold Plate
Manufacturing the Grid-to-Chip Power Chain Supply Chain Readiness for 800 V DC, Solid-State Transformers, and High-Density Distribution
Why Data Center Designs Work Engineering Certainty, Not Hypothesis
Micromanagement Is a Pattern Diagnosing, Dismantling, and Replacing Reactive Control Architectures in Modern Enterprises
The AI Factory Supply Chain OEM Landscape, Buyer Leverage, and Investor-Grade Market Intelligence Across Hyperscale, Colocation, and Enterprise AI Buyers
Scaling Identity the Wrong Way Why a Single Active Directory Domain Becomes a Global Operational, Cybersecurity, and Capital Risk
Cost per Megawatt in the AI Factory Era An economics reference for AI-era capital deployment
How to Interview Like a Professional An Executive Discipline for Modern, AI-Mediated Hiring
The Grid-to-Chip Reference Architecture A Unified Reference for Hyperscale AI Infrastructure from Bulk Transmission to Silicon-Level Power Delivery
Your Interview Questions Are a Management Audit What Hiring Practices Reveal About Leadership Maturity, Operating Discipline, and Cultural Truth
HVAC Sizing for Data Center Support Spaces A Step-by-Step Engineering Guide for Gray Space, Administrative, Operational, Storage, and Burn-In Areas
When Performance Systems Create the Problem They Claim to Solve A governance analysis of forced-distribution performance systems and their operational, cultural, and capital costs
Next-Generation Data Center Power Architectures Arch3 Sidecar, Arch4 HVDC, BESS, SST, and the Future of BBU Strategy
Hydraulic Flow Limits and Cooling Strategy Decision Framework Engineering, Capital, and Governance Implications of Volumetric Transport at AI-Factory Density
Solid-State Transformers and the AI Factory Advisory Reference: Architecture, Standards, and Capital Posture for SST Deployment
The Comeback Playbook An Operational Guide for Workers Over 40 to Land Real Work in the Algorithmic Hiring Era
The Vanishing Worker Age, Algorithms, and the Hidden Hiring Crisis Affecting Americans Over 40
Data Center KPIs — A Comprehensive Look Build, Operations, and IT Metrics, the Tools that Capture Them, and What They Mean
Test & Measurement Equipment for AI Data Center Infrastructure A Strategic Reference for Capital Deployment, Commissioning Rigor, and Operational Validation
Interconnect Sequencing as the Pacing Function Substation Topology, Queue Position, and Site Viability for AI Infrastructure at Hyperscale
Operating at Two Megawatts Why High-Density AI Deployment Breaks Operations Models Before It Breaks Cooling
Governing the 800 VDC Power Train An Owner's Advisory on the Isolation Transformer Question, Multi-Vendor Evaluation, and Bankability Triangle
Code Compatibility of 800 Volt Direct Current Architectures A UL, NFPA, and NEC Reference for Hyperscale and Colocation Operators
Voltage as Capital Governance Why 800 Volt HVDC Determines Capital Allocation Velocity at 2 Megawatt+ Per Rack
The Neutral Conductor in 480V Four-Wire Data Center Electrical Systems A Comprehensive Review of Codes, Power Quality, Paralleling Practices, and Design Recommendations
Right-Sizing UPS Runtime for the Modern Data Center Published Standards, Segment Practice, and an Engineering Framework for the AI Era
The Floor Question Is Settled A Data-Driven Case for Slab-on-Grade Construction in Modern, AI-Era, Liquid-Cooled Data Centers
Keep the Gray Space Gray The Case Against Co-Locating 800 V DC Power Infrastructure Inside the IT White Space of AI-Era Data Centers
Power Conversion in AI Factories From 13.8 kV to 0.7 V at the Silicon — 480 VAC, 415 VAC, ±400 VDC, and 800 VDC HVDC Architectures
Powering the AI Factory Utility Interconnection, Generation, Transmission, and Reference Architecture for Hyperscale AI Compute Campuses
Operational Sustainability Is Not a Maintenance Contract A Systems Architecture for AI-Class Mission-Critical Infrastructure
AI Factories and PODs The Ratio of Information Technology Compute Racks to Network Racks
AI Factories and the Token Economy Why infrastructure will be measured in tokens per watt, cost per token, and deployment velocity
AI Factories and the National Power Grid Power Architecture, Capital Deployment, Regulatory Constraint, and Self-Generation in the AI Buildout
The Data Center Industry Is Using the Wrong Spatial Model Why the traditional white-space / gray-space framework no longer describes AI infrastructure at hyperscale
Read all on Substack

Leadership Focus Areas

  • Mission-critical infrastructure strategy
  • Data center design, build, operations, and modernization
  • Critical power, cooling, controls, and resiliency planning
  • Hyperscale and AI infrastructure architecture
  • Capital planning, lifecycle governance, and execution management
  • Federal, utility, and regulated-environment infrastructure support

Connect

Discuss infrastructure strategy, federal opportunities, and partnerships with First Call Group.

Contact FCG