Product Economics Academy
The Product Economics
Academy.
These aren't courses. These are 23 deep-authority curriculum tracks built from published frameworks in CIO.com and Built In — spanning product economics, AI agents, leadership, career capital, M&A integration, and executive governance.
23
Authority Tracks
293
Deep Modules
$149
Per Track
$999
All 23 Tracks
Engineering Economics Foundations
The core curriculum for understanding engineering as an economic activity. From basic metrics to advanced budgeting and organizational design.
1.
1.1 Engineering Productivity Metrics
DORA Metrics, APER, Feature Velocity, Board-Ready Reporting
2.
1.2 Technical Debt Classification
Code Debt, Architecture Debt, Infrastructure Debt, PDI Framework
3.
1.3 Cost of Delay & Prioritization
Cost of Delay, WSJF, Debt Interest Rates, Executive Framing
4.
1.4 Team Topology & Conway's Law
Conway's Law, Four Team Topologies, Cognitive Load, Coordination Tax
5.
1.5 Build vs Buy Economics
TCO Analysis, Integration Debt, Vendor Lock-In, Differentiation Test
6.
1.6 Engineering Budget & Capex/Opex
Budget Anatomy, Software Capitalization, R&D Tax Credits
7.
1.7 Platform Engineering Economics
IDP ROI, Golden Path Economics, Developer Experience Metrics
8.
1.8 Engineering Hiring Economics
Cost-per-Hire, Mis-Hire Impact, Retention ROI
9.
1.9 Outsourcing & Contractor Economics
Blended Rates, Knowledge Retention, Offshore Cost Analysis
10.
1.10 Engineering Organization Design
Team Sizing, Span of Control, IC vs Management Tracks
11.
1.11 Technical Debt Quantification
PDI Methodology, Dollar Conversion, CFO Communication
12.
1.12 Engineering Benchmarking
R&D Spend Benchmarks, Stage-Based APER, Performance Metrics
13.
1.13 Engineering Budget Planning
Zero-Based Budgeting, Headcount Modeling, Contingency Planning
14.
1.14 M&A Engineering Integration
Day 1-100 Playbook, Talent Retention, Tech Stack Consolidation
15.
1.15 Engineering Economics Synthesis
Complete Economic Model, Dashboard Design, Quarterly Reporting
16.
1.16 Governing Vibe Coding & AI-Assisted Output
Vibe Coding Debt, Copilot ROI, Validation
Your most differentiated track. AI unit economics, inference costs, margin collapse — maps directly to CIO.com and Built In articles. AI cost management is the #1 FinOps priority in 2026.
1.
2.1 AI COGS Analysis
AI COGS Equation, Token Economics, API Pricing Architecture
2.
2.2 Model Selection & Optimization
Model Tiers, Routing Architecture, Fine-Tuning ROI, Distillation
3.
2.3 AI Feature Profitability
Feature-Level P&L, Per-User Economics, The 10x Rule
4.
2.4 RAG Architecture Economics
Embedding Costs, Vector DB Pricing, Chunking, Caching & Reranking
5.
2.5 AI Governance & Safety Costs
Guardrail Tax, Red Teaming, Bias Testing, EU AI Act Compliance
6.
2.6 AI Product Pricing Strategy
Value-Based Pricing, AI Credits, Pricing Experiments
7.
2.7 AI Build vs Buy Decisions
API vs Custom Model, Open Source vs Proprietary, Self-Host TCO
8.
2.8 RAG System Economics
Embedding Costs, Retrieval Costs, Context Window Optimization
9.
2.9 AI Feature Profitability Analysis
Feature-Level P&L, Revenue Attribution, Sunset Decisions
10.
2.10 GPU Infrastructure Economics
GPU Pricing, Spot vs Reserved, Inference Batch Optimization
11.
2.11 AI Compliance & Risk Costs
EU AI Act, Model Auditing, Bias Testing Budgets
12.
2.12 AI Team Composition
ML Engineer Costs, Data Scientists, Prompt Engineers, AI PMs
13.
2.13 AI Product Lifecycle
Prototype to Production 10x Cost, Scaling Patterns
14.
2.14 AI Marketplace Strategy
API Monetization, Model-as-a-Service, Developer Ecosystems
15.
2.15 AI Economics Synthesis
Complete AI Economic Model, Portfolio Analysis, Board Reporting
16.
2.16 ROAI and AI Unit Economics
Cost of Predictivity, ROAI Calculation, AUEB Ratio
The executive track: managing engineering investment as a financial asset. For CTOs, PE partners, and board members. Includes engineering leadership, executive alignment, and board governance.
1.
3.1 R&D Capital Audit Methodology
Discovery Phase, Technical Assessment, Economic Modeling
2.
3.2 PE Due Diligence for Technology
Technology Asset Valuation, Team Assessment, Debt as Deal Currency
3.
3.3 Board Reporting & Executive Communication
4-Quadrant Board Slide, KPI Dashboards, Investment Proposals
4.
3.4 M&A Technical Assessment
Pre-Close Assessment, Integration Costs, Technology Synergies
5.
3.5 Vendor & Platform Risk Assessment
Criticality Scoring, Concentration Risk, Exit Strategy Planning
6.
3.6 Remediation Roadmap & Execution
ICE Prioritization, Wave Planning, Stakeholder Management
7.
3.7 Architecture Assessment
Coupling Analysis, Scalability Modeling, Architecture Debt
8.
3.8 Testing & Quality Economics
Bug Cost by Stage, Test Automation ROI, Quality Gates
9.
3.9 Dependency & Vendor Risk
Dependency Auditing, License Compliance, Vendor Concentration
10.
3.10 Cloud Infrastructure Audit
Cloud Cost Audit, Right-Sizing, Commitment Optimization
11.
3.11 Security Debt Assessment
Vulnerability Exposure, Compliance Gaps, Remediation Economics
12.
3.12 Data Quality & Governance
Data Quality Costs, Five Dimensions, Governance Frameworks
13.
3.13 DevOps Maturity Assessment
CI/CD Pipeline ROI, Observability Investment, Incident Costs
14.
3.14 Technical Debt Communication
CFO Translation, Board Presentations, Investor Due Diligence
15.
3.15 R&D Capital Synthesis
Complete Framework, Quarterly Cadence, Investment Culture
Applied practice modules: startup economics scenarios, platform engineering, org scaling, cloud FinOps, SaaS metrics, and the full R&D Capital Audit capstone project.
1.
4.1 Startup Engineering Economics
Runway-Aware Engineering, MVP Economics, Series A Positioning
2.
4.2 Enterprise Platform Economics
Platform Tax, Developer Experience ROI, Platform Team Economics
3.
4.3 Engineering Org Scaling
Scaling Laws, Hiring Economics, Span of Control, Conway's Law
4.
4.4 Cloud FinOps & Infrastructure
Cloud Cost Anatomy, Reservation Strategy, FinOps Culture
5.
4.5 SaaS Metrics Deep Dive
NRR, CAC:LTV, Unit Economics, Rule of 40, Engineering Efficiency
6.
4.6 Capstone: Full R&D Capital Audit
Complete Audit Project, Board-Ready Document, Investment Roadmap
7.
4.7 Case Study: SaaS Scale-Up
Series B Audit, Scaling Challenges, Technical Debt Hotspots
8.
4.8 Case Study: PE Portfolio
Post-Acquisition Audit, Platform Consolidation, Team Restructuring
9.
4.9 Case Study: AI Startup
Burn Rate Optimization, Model Economics, Commercialization
10.
4.10 Case Study: Enterprise Modernization
Legacy Migration, Dual-Speed IT, Strangler Fig Pattern
11.
4.11 Building Your Practice
Engagement Design, Pricing, Deliverables, Client Management
12.
4.12 Tools Deep Dive
Professional Tool Workflow, Cross-Referencing, Assessment Timing
13.
4.13 Presentation & Storytelling
SCR Framework, Data Visualization, Executive Communication
14.
4.14 Continuous Improvement
Engineering OKRs, Monthly Reviews, Automated Dashboards
15.
4.15 Final Capstone Assessment
End-to-End Audit, Peer Review, Professional Presentation
AI, Cloud & Agent Economics
Product economics for PMs and CPOs: feature prioritization using economic models, pricing strategy, churn economics, and the bridge between product and finance. Nobody else teaches PM through the P&L lens.
1.
5.1 Feature Prioritization Economics
RICE vs WSJF, Opportunity Cost, Stack Ranking by Dollar Value
2.
5.2 Pricing & Packaging Strategy
Value-Based Pricing, Tiering, Usage Pricing, Price Elasticity
3.
5.3 Churn & Retention Economics
Churn Waterfall, LTV Modeling, Retention ROI, Cohort Analysis
4.
5.4 Feature Bloat Calculus
Feature Cost Decay, Maintenance Drag, Sunset Economics
5.
5.5 Product-Led Growth Economics
PLG Funnel Costs, Free Tier Economics, Conversion Optimization
6.
5.6 Competitive Moat Analysis
Switching Cost Quantification, Network Effects, Data Moats
7.
5.7 A/B Testing Economics
Experimentation ROI, Test Duration Costs, Statistical Significance
8.
5.8 Product Operations
ProductOps ROI, Tool Costs, Process Automation
9.
5.9 Customer Acquisition Economics
CAC Payback, Channel Economics, Blended CAC
10.
5.10 Marketplace Economics
Platform Take Rate, Network Economics, Liquidity Metrics
11.
5.11 Product Analytics ROI
Analytics Stack Costs, Insight-to-Action, Data Warehouse ROI
12.
5.12 Technical Product Management
TPM Economics, API Monetization, Dev Tool Pricing
13.
5.13 Product Roadmap Economics
Opportunity Cost of Roadmaps, Pivot Costs, Feature Debt
14.
5.14 Product-Finance Partnership
PM Scorecards, Revenue Attribution, Unit Economics Reporting
15.
5.15 Product Economics Synthesis
Complete Product Economic Model, Portfolio View, Board Report
The economics of deploying, governing, and scaling AI systems: model selection, prompt engineering ROI, AI compliance costs, agentic automation, and vendor comparison. Connects to Exogram and EAAP.
1.
6.1 AI Model Selection Economics
Foundation Model Costs, Inference Pricing, Quality-Cost Tradeoffs
2.
6.2 Prompt Engineering ROI
Prompt Library Economics, Testing Costs, Prompt Infrastructure
3.
6.3 AI Testing & Evaluation
Eval Suite Costs, Benchmark Design, Quality Gate Economics
4.
6.4 Hallucination Cost Modeling
Detection Costs, Business Impact, Guardrail Investment
5.
6.5 RAG Architecture Economics
Embedding Costs, Vector DB Pricing, Chunking Strategy
6.
6.6 AI Agent Economics
Agent Orchestration, Tool-Use Pricing, Multi-Agent Systems
7.
6.7 AI Compliance & Audit
EU AI Act, NIST AI RMF, Model Cards, Governance Committees
8.
6.8 AI Vendor Comparison
OpenAI vs Anthropic vs Google, TCO, Switching Costs
9.
6.9 AI Team Building
ML Engineer Compensation, Skill Gap, Training Investment
10.
6.10 AI Operations Synthesis
Complete AI Economic Model, GPU Forecasting, Strategy
11.
6.11 Graph RAG Implementation
Knowledge Graphs, Hallucination Elimination, Query Routing
12.
6.12 Multimodal Processing Pipelines
Audio/Video Reasoning, Document Ingestion Costs, Latency
13.
6.13 AI Product Management
Probabilistic PM, Non-Deterministic Testing, Feature KPIs
14.
6.14 Shadow AI Discovery
Employee App Usage, Data Leakage Prevention, Policy Enforcement
15.
6.15 Prompt Injection Defense
Jailbreak Prevention, Input Sanitization, Security Economics
16.
6.16 Model Collapse Financial Modeling
Model Depreciation, Organic Data Costs, Financial Decay
The economics of cloud cost management, optimization, and FinOps practice. 98% of FinOps teams now manage AI spend. AI cost management is the #1 capability teams plan to add in 2026.
1.
7.1 FinOps Fundamentals
FinOps Maturity, Stakeholder Alignment, Team Sizing
2.
7.2 Cloud Cost Allocation
Tagging Strategies, Showback Dashboards, Chargeback
3.
7.3 Reserved Instances & Savings Plans
RI vs Savings Plans, Coverage Analysis, Break-Even
4.
7.4 Kubernetes Cost Management
K8s Right-Sizing, Namespace Budgets, Cluster Allocation
5.
7.5 Serverless vs Container Economics
Lambda vs ECS vs EKS, Cold Start, Workload Fit
6.
7.6 Multi-Cloud Arbitrage
Cross-Cloud Pricing, Egress Management, Negotiation
7.
7.7 Cloud Migration ROI
Lift-and-Shift vs Refactor, Timeline, Post-Migration
8.
7.8 Data Transfer & Egress
CDN Economics, Edge Caching, Bandwidth, Data Locality
9.
7.9 FinOps Team & Governance
FinOps Roles, KPI Frameworks, Executive Reporting
10.
7.10 Infrastructure Synthesis
Cloud Economic Model, Optimization Dashboard, Strategy
11.
7.11 AI FinOps Specialization
LLM Token Allocation, GPU Cluster Depreciation, Margin Triage
12.
7.12 Cloud Repatriation Calculus
Basecamp Migration Strategy, Bare Metal Racks, Egress Elimination
13.
7.13 Serverless GPU Brokering
Modal vs Runpod, Cold Start Tolerances, GPU Spot Markets
14.
7.14 Data Security Posture Management (DSPM)
Cloud Discovery Scanning, Shadow Data Remediation, ROI Analysis
15.
7.15 Continuous Architecture Modernization
Refactoring Rhythms, Retiring Legacy Instances, Savings Decay
37% of AI companies plan to change their pricing model in the next 12 months. Outcome-based pricing jumped from 2% to 18% in six months. Teach the economics of pricing AI products.
1.
8.1 AI Pricing Model Taxonomy
Usage-Based vs Outcome-Based vs Subscription, Hybrid Models
2.
8.2 Token-Based Pricing Architecture
Credit Systems, Metering Infrastructure, Rate Limiting Economics
3.
8.3 The Flat-Rate AI Death Trap
Unlimited AI at Flat Rate, Margin Collapse Scenarios, Usage Spikes
4.
8.4 Outcome-Based Pricing Models
Value Capture, Success Metrics, Risk-Sharing Economics
5.
8.5 AI Freemium Economics
Free Tier COGS, Conversion Funnels, Upsell Trigger Points
6.
8.6 Enterprise AI Contract Design
Commit Structures, Overage Pricing, Annual vs Monthly
7.
8.7 Competitive Pricing Intelligence
Market Positioning, Price Anchoring, Differentiation Premiums
8.
8.8 Revenue Attribution for AI Features
Feature-Level Revenue, Willingness-to-Pay Research, Bundling
9.
8.9 AI Marketplace Monetization
API-as-Product, Model Marketplace Take Rates, Developer Ecosystems
10.
8.10 Pricing Strategy Synthesis
Complete AI Pricing Model, Board Presentation, Margin Optimization
Tools & Assets
You already publish on calculating technical debt's EBITDA impact for PE due diligence. Direct buyer intent from PE firms, CFOs, and VPEs preparing for acquisitions or audits.
1.
9.1 Technical Debt on the Balance Sheet
GAAP Treatment, Liability Classification, Audit Disclosure
2.
9.2 Quantifying Debt in Dollar Terms
PDI Methodology, Maintenance Load Costing, Interest Rate Models
3.
9.3 Technical Insolvency Date
When Debt Exceeds Capacity, Death Spiral Indicators, Tipping Points
4.
9.4 Debt Impact on EBITDA
Maintenance Drag on Margins, Developer Velocity Tax, CFO Translation
5.
9.5 PE Due Diligence: Tech Debt Assessment
Pre-LOI Scans, Deal Breakers, Discount Models, Holdback Structures
6.
9.6 Debt Forgiveness Protocols
Sunk Cost Fallacy, Code Bankruptcy, Rewrite Mathematics
7.
9.7 Architecture Debt Valuation
Coupling Costs, Monolith Decomposition, Migration Economics
8.
9.8 Infrastructure Debt
EOL Hardware, Unpatched Systems, Cloud Migration Forcing Functions
9.
9.9 Communicating Debt to the Board
Visual Frameworks, Risk Heat Maps, Investment Proposals
10.
9.10 Tech Debt Remediation Economics
Wave Planning, ROI-First Prioritization, Continuous Paydown Models
PE firms, corporate development teams, and VCs evaluating AI companies need this. A natural extension of R&D Capital Management with a clear buyer profile.
1.
10.1 AI Company Valuation Frameworks
ARR Multiples for AI, Revenue Quality, Gross Margin Analysis
2.
10.2 AI Model Asset Valuation
Proprietary Data Moats, Fine-Tuned Model Worth, Training Cost Basis
3.
10.3 AI Infrastructure Audit
GPU Contracts, Cloud Commitments, Inference Cost Trajectories
4.
10.4 Data Asset Due Diligence
Data Quality Scoring, Licensing Compliance, Privacy Risk Assessment
5.
10.5 AI Team Assessment
Key-Person Risk, ML Engineer Retention, Talent Market Benchmarks
6.
10.6 AI Technical Debt Evaluation
Model Drift Risk, Pipeline Fragility, Retraining Cost Projections
7.
10.7 AI Regulatory & Compliance Risk
EU AI Act Exposure, IP Litigation, Bias Liability Quantification
8.
10.8 Competitive Moat Analysis for AI
Data Flywheel Strength, Model Defensibility, Switching Costs
9.
10.9 Post-Acquisition AI Integration
Model Consolidation, Team Merging, Infrastructure Rationalization
10.
10.10 AI Due Diligence Synthesis
Complete AI DD Report Template, Board Presentation, Deal Structuring
Related Glossary
Tools & Assets
Every engineering leader faces this right now. Frame it through your economic lens: TCO modeling, vendor lock-in costs, inference arbitrage, and the hidden costs of "free" open-source models.
1.
11.1 The Build vs Buy Decision Framework
Total Cost of Ownership, Core vs Context, Strategic Differentiation Test
2.
11.2 API Provider Economics
OpenAI vs Anthropic vs Google Pricing, Volume Discounts, Rate Limits
3.
11.3 Self-Hosting Economics
GPU Infrastructure TCO, Llama/Mistral Hosting, DevOps Overhead
4.
11.4 Open Source Model Hidden Costs
Fine-Tuning Compute, Evaluation Infrastructure, Maintenance Burden
5.
11.5 Vendor Lock-In Quantification
Switching Costs, Embedding Migration, Prompt Rewriting, Data Gravity
6.
11.6 Inference Cost Arbitrage
Model Routing, Tiered Quality, Cost-Performance Optimization
7.
11.7 RAG Build vs Buy
Pinecone vs pgvector vs Custom, Managed vs Self-Hosted Embeddings
8.
11.8 AI Platform vs Point Solution
Horizontal Platforms, Vertical AI SaaS, Integration Complexity
9.
11.9 Multi-Model Strategy Economics
Portfolio Approach, Fallback Architecture, Best-of-Breed Routing
10.
11.10 Build vs Buy Synthesis
Decision Matrix Template, Board Presentation, 3-Year TCO Model
Related Glossary
Tools & Assets
AI agents are the next compute paradigm. This track teaches you to design, cost, and govern multi-agent systems — from single-tool agents to enterprise orchestration platforms. Inspired by real-world agent infrastructure like Exogram.
1.
19.1 What Is an AI Agent? Economic Primitives
Agent vs Chatbot, Autonomy Spectrum, Cost-Per-Action, Agent ROI Framework
2.
19.2 Agent Architecture Patterns & Costs
ReAct, Plan-and-Execute, Tool-Use, Multi-Agent, Architecture Selection Economics
3.
19.3 Tool-Use & Function Calling Economics
API Call Costs, Tool Invocation Latency, MCP Protocol Economics, Error Recovery Costs
4.
19.4 Memory & Context Management Costs
Short-Term vs Long-Term Memory, Vector Store Costs, Context Window Economics, Exogram-Style Verification
5.
19.5 Multi-Agent Orchestration Economics
Agent-to-Agent Communication, Coordination Overhead, Consensus Costs, Swarm Architecture
6.
19.6 Agent Inference Cost Optimization
Model Routing for Agents, Tiered Reasoning, Cached Tool Responses, Batch vs Real-Time
7.
19.7 Agent Reliability & Error Economics
Hallucination Costs in Agents, Retry Economics, Guardrail Overhead, Human-in-the-Loop Costs
8.
19.8 Agent Observability & Monitoring
Trace Costs, Agent Analytics, Performance Dashboards, Anomaly Detection Economics
9.
19.9 Agent Infrastructure at Scale
Kubernetes for Agents, Serverless Agent Hosting, Queue Architecture, Scaling Patterns
10.
19.10 Agent Security & Sandboxing Economics
Code Execution Sandboxes, Permission Models, Prompt Injection Defense, Audit Logging
11.
19.11 Agent Testing & Evaluation Frameworks
Agent Benchmarking, Task Completion Rates, Regression Testing Costs, Eval Infrastructure
12.
19.12 Agent Marketplace & Monetization
Agent-as-a-Service Pricing, Usage-Based Models, Agent Marketplace Economics, Developer Ecosystems
13.
19.13 Autonomous Agent Risk Management
Autonomy Boundaries, Kill Switches, Escalation Protocols, Liability Frameworks
14.
19.14 Agent Build vs Buy: The Complete TCO
Custom vs Platform Agents, LangChain vs CrewAI vs Custom, Integration Complexity
15.
19.15 Agent Architecture Synthesis & Board Presentation
Complete Agent Economic Model, Investment Proposal, 3-Year Agent Strategy
Related Glossary
Tools & Assets
Beyond RPA: agentic process automation replaces entire workflows, not just clicks. This track teaches you to identify, cost, and implement AI agent automation across enterprise operations — from customer support to DevOps to finance.
1.
20.1 From RPA to Agentic Automation
RPA Limitations, Agentic Leap, Intelligence vs Scripting, Market Size & Opportunity
2.
20.2 Process Discovery for Agent Automation
Workflow Mapping, Automation Candidate Scoring, Complexity vs Value Matrix
3.
20.3 FTE Displacement Economics
Cost-Per-Task vs Cost-Per-FTE, Partial Automation ROI, Human+Agent Hybrid Models
4.
20.4 Customer Support Agent Economics
Ticket Resolution Costs, First-Contact Resolution Rates, Escalation Economics, CSAT Impact
5.
20.5 DevOps & SRE Agent Automation
Incident Response Agents, Auto-Remediation ROI, Alert Fatigue Reduction, MTTR Impact
6.
20.6 Sales & Revenue Agent Economics
Lead Qualification Agents, Pipeline Automation, SDR Augmentation, Revenue Attribution
7.
20.7 Finance & Compliance Agent Automation
Invoice Processing Agents, Audit Automation, Regulatory Reporting, Risk Scoring
8.
20.8 Code Generation & Review Agents
Copilot Economics, Automated Code Review, PR Automation, Quality Gate Agents
9.
20.9 Agent Orchestration Platforms
Enterprise Agent Platforms, Workflow Engines, Integration Patterns, Platform Selection
10.
20.10 Change Management for Agent Adoption
Workforce Impact, Reskilling Economics, Union Considerations, Communication Strategy
11.
20.11 Agent Performance SLAs & Contracts
Service Level Definitions, Performance Baseline, Penalty Structures, Vendor Benchmarks
12.
20.12 Agent Failure Modes & Recovery
Cascading Failures, Graceful Degradation, Fallback to Human, Business Continuity
13.
20.13 Measuring Agent ROI at Scale
Enterprise Agent KPIs, Portfolio View, Quarterly Business Reviews, Board Reporting
14.
20.14 Competitive Strategy with Agent Automation
Agent-First Companies, Speed Advantage, Cost Structure Disruption, Market Positioning
15.
20.15 Agentic Automation Synthesis
Complete Automation Business Case, Roadmap Design, Investment Proposal, Board Deck
Autonomous agents acting on behalf of your organization create unprecedented governance challenges. This track teaches you to build the trust, verification, and compliance infrastructure that makes enterprise agent deployment possible. Inspired by Exogram's verification architecture.
1.
21.1 The Trust Problem in Autonomous AI
Why AI Fails at Trust, Verification vs Validation, Exogram's Truth Layer Paradigm
2.
21.2 Agent Permission & Access Control Economics
Least-Privilege for Agents, Scope Creep Costs, Dynamic Permission Models, Audit Trails
3.
21.3 Agent Audit & Compliance Frameworks
SOC 2 for Agents, EU AI Act (Article 14), Agent Decision Logging, Regulatory Readiness
4.
21.4 Hallucination Detection & Verification Economics
Factual Grounding Costs, Citation Verification, Knowledge Graph Integration, Exogram Approach
5.
21.5 Agent Output Verification Infrastructure
Verification Pipelines, Confidence Scoring, Human Review Triggers, Quality Gates
6.
21.6 Data Provenance & Lineage for Agents
Source Attribution, Data Freshness Economics, Knowledge Cutoff Management, RAG Verification
7.
21.7 Prompt Injection & Security Economics
Attack Surface Analysis, Defense-in-Depth Costs, Red Teaming Budgets, Incident Response
8.
21.8 Multi-Stakeholder Agent Governance
Cross-Functional Governance Boards, RACI for Agents, Stakeholder Alignment Costs
9.
21.9 Agent Ethics & Bias Economics
Bias Detection Costs, Fairness Metrics, Ethical Review Boards, Reputational Risk
10.
21.10 Insurance & Liability for AI Agents
AI Insurance Products, Liability Allocation, Contractual Protections, Risk Quantification
11.
21.11 Agent Versioning & Rollback Economics
Model Version Control, A/B Testing Agents, Canary Deployments, Rollback Costs
12.
21.12 Enterprise Agent Policy Engines
Policy-as-Code, Guardrail Frameworks, Compliance Automation, Governance Platforms
13.
21.13 Agent Incident Response & Forensics
Agent Failure Investigation, Root Cause Analysis, Post-Mortem Templates, Regulatory Reporting
14.
21.14 Building an Agent Center of Excellence
CoE Structure, Staffing Economics, Capability Maturity Model, Knowledge Sharing
15.
21.15 Agent Governance Synthesis & Board Strategy
Complete Governance Framework, Risk Dashboard, Board Presentation, Maturity Roadmap
Tools & Assets
Career Capital & Leadership
Stop being a cost center. Learn to quantify your business impact, negotiate compensation using economic frameworks, and prove your dollar value at every level — from junior IC to Staff Engineer.
1.
12.1 Your Revenue-Per-Engineer Contribution
Calculating APER Impact, Attributing Business Value, Beyond Story Points
2.
12.2 Compensation Economics
Pay Band Analysis, Equity Valuation, Total Comp Modeling, RSU vs Options
3.
12.3 The Business Case for Promotion
Quantified Impact Dossiers, P&L Outcomes, Translating Code to Revenue
4.
12.4 Navigating Layoff Economics
Severance Math, Risk Indicators, Cost Center vs Profit Center Positioning
5.
12.5 The Senior Engineer P&L
Measuring Leverage, Technical Debt Prevention ROI, Architecture Impact
6.
12.6 Staff Engineer as Capital Allocator
Cross-Team Influence Economics, RFC ROI, Platform Strategy Ownership
7.
12.7 The Cost of Career Stagnation
Opportunity Cost Modeling, Market Rate Drift, Skill Depreciation Curves
8.
12.8 Negotiation Using Economic Frameworks
Anchoring with Data, Competing Offers, Equity vs Cash Tradeoffs
9.
12.9 Building a Revenue-Centric Resume
Impact Metrics, Business Outcome Framing, P&L Language for Engineers
10.
12.10 Career Capital Synthesis
Your Personal Economic Model, 5-Year Capital Plan, Board-of-You Strategy
Related Glossary
Tools & Assets
The economics translation layer for Directors, VPs, and aspiring CTOs. Learn to think in P&L, present to boards, own budgets, and position yourself as a revenue-driving executive — not a technical manager.
1.
13.1 The Language of the Boardroom
EBITDA Translation, Margin Frameworks, Executive Vocabulary
2.
13.2 Budget Ownership & R&D Stewardship
CapEx vs OpEx, Headcount Modeling, Zero-Based Budgeting
3.
13.3 Board Reporting for Technical Leaders
4-Quadrant Slides, KPI Dashboards, Investment Proposals
4.
13.4 Reorg Economics & Org Design
Restructuring Costs, Productivity Dip, Conway's Law at Scale
5.
13.5 M&A Technical Leadership
Due Diligence Leadership, Integration Playbook, Talent Retention
6.
13.6 CTO vs VP Engineering Economics
Role Separation, Cost Structures, Board Relationship Dynamics
7.
13.7 Managing Technical Debt at the Board Level
Risk Heat Maps, Investment Proposals, Remediation Roadmaps
8.
13.8 AI Strategy for Executives
AI Investment Framework, Build vs Buy at the C-Suite, Vendor Selection
9.
13.9 The 90-Day CTO Turnaround
Trust Bridge, 360 Audit, Quick Wins, Board Confidence Building
10.
13.10 Executive Economics Synthesis
Your CTO Dashboard, Quarterly Cadence, Long-Term Capital Planning
Tools & Assets
Leadership is a skill, not a rank. Companies train you for the technical job, then promote you to a job they never teach. That's why we get managers, not leaders. This track teaches the economics of becoming one.
1.
14.1 Leadership vs Management: The Economic Distinction
The Promotion Gap, Manager Cost vs Leader ROI, Skill vs Rank
2.
14.2 The Peter Principle: The Cost of Promoting to Incompetence
Good Engineer ≠ Good Leader, Transition Tax, The Training Void
3.
14.3 The Economics of Psychological Safety
Innovation Premium, Fear Tax, Google's Project Aristotle Applied
4.
14.4 Attrition Economics: The Cost of Losing Your Best People
Replacement Costs, Knowledge Drain, Productivity Ripple Effects
5.
14.5 Servant Leadership ROI
Enabling vs Controlling, Unblocking as Value Creation, Trust Capital
6.
14.6 Mentoring as Capital Investment
Knowledge Duplication ROI, Succession Planning, 10x Multiplier Effect
7.
14.7 Decision-Making Economics for Leaders
Decision Latency Cost, Reversible vs Irreversible, Delegation ROI
8.
14.8 Communication as a Revenue Driver
Clarity Premium, Meeting Cost Calculator, Feedback Loop ROI
9.
14.9 Building High-Performance Teams: The Economics
Team Composition ROI, Cognitive Diversity Premium, Cross-Functional Value
10.
14.10 Leadership Development ROI Synthesis
Your Leadership P&L, Development Budget, 360 Assessment Economics
Tools & Assets
Remote work isn't a perk — it's an economic model with measurable costs, arbitrage opportunities, and hidden taxes. This track gives you the financial framework to build, manage, and optimize distributed engineering organizations.
1.
15.1 Remote vs Office: Total Cost Analysis
Office TCO, Remote Infrastructure Costs, Net Savings Calculation
2.
15.2 Geographic Compensation Arbitrage
Location-Based Pay Bands, Cost-of-Living Adjustments, Equity Implications
3.
15.3 The Meeting Cost Calculator
Per-Minute Meeting Costs, Async vs Sync ROI, Calendar Optimization
4.
15.4 Async Communication ROI
Written Communication Premium, Documentation-First Culture, Timezone Value
5.
15.5 Remote Onboarding Economics
Virtual Ramp Time, Buddy System ROI, 90-Day Productivity Curves
6.
15.6 Distributed Team Productivity Measurement
Output vs Hours, Outcome-Based Evaluation, Remote APER Calculation
7.
15.7 Remote Attrition Premium
Isolation Cost, Belonging Tax, Retention Strategy for Remote Workers
8.
15.8 Cross-Timezone Coordination Costs
Overlap Hour Economics, Follow-the-Sun Models, Handoff Efficiency
9.
15.9 Remote Security & Compliance Economics
WFH Endpoint Costs, Data Sovereignty, Remote Compliance Overhead
10.
15.10 Hybrid Economics: The Worst of Both Worlds?
Hybrid TCO, Occupancy Waste, Coordination Premium for Mixed Teams
Related Glossary
Tools & Assets
Developer experience is the hidden infrastructure tax or accelerator in every engineering organization. This track teaches you to measure, invest in, and monetize DX improvements with the same rigor as any capital investment.
1.
17.1 Developer Productivity as Economic Output
DORA Metrics ROI, Flow State Economics, Interruption Cost Analysis
2.
17.2 Tooling Investment ROI
Build Time vs Revenue, IDE/CI ROI, Dev Environment Cost-Benefit
3.
17.3 Onboarding Speed as Revenue Driver
Time-to-First-Commit, New Hire Ramp Costs, Self-Service Environments
4.
17.4 Platform Engineering Economics
Internal Platform ROI, Self-Service Infrastructure, Golden Path Economics
5.
17.5 CI/CD Pipeline Optimization
Build Time Compound Costs, Pipeline Reliability ROI, Deployment Frequency Value
6.
17.6 Documentation as Infrastructure
Search vs Ask ROI, Knowledge Base Economics, Documentation Debt
7.
17.7 Developer Satisfaction & Retention
DX NPS, Friction-to-Attrition Pipeline, Joy as Retention Strategy
8.
17.8 Inner Source & Code Reuse Economics
Duplication Costs, Shared Library ROI, Inner Source Governance
9.
17.9 AI-Augmented Development Economics
Copilot ROI, AI Code Review, Automation vs Quality Trade-offs
10.
17.10 DX Investment Prioritization Framework
DX Scorecard, Budget Allocation, DX Roadmap Economics
Related Glossary
Tools & Assets
Leadership is the awesome responsibility to see those around us rise. Most of us achieved our rank because we were good at our old job — but that's not our job anymore. This track teaches the economics of becoming a leader who multiplies value, not just manages resources.
1.
22.1 The Leadership Multiplier Effect
IC Output vs Leader Output, Leverage Economics, Value Multiplication Framework
2.
22.2 From Technical Expert to Strategic Leader
The Identity Shift, Letting Go of the Keyboard, Strategic Thinking Economics
3.
22.3 Building & Leading High-Performance Teams
Team Composition Economics, Cognitive Diversity Premium, Psychological Safety ROI
4.
22.4 The Economics of Trust & Delegation
Trust Building Costs, Delegation ROI, Micromanagement Tax, Autonomy Premium
5.
22.5 Strategic Communication & Influence
Stakeholder Mapping, Executive Presence ROI, Story-Based Decision Making, Narrative Economics
6.
22.6 Coaching & Development Economics
1:1 ROI, Coaching Frameworks, Skill Development Investment, Succession Pipeline
7.
22.7 Conflict Resolution & Alignment Economics
Conflict Cost Calculator, Alignment Tax, Cross-Functional Friction, Resolution ROI
8.
22.8 Change Leadership Economics
Transformation Costs, Resistance Economics, Adoption Curves, Leading Through Ambiguity
9.
22.9 Culture as Capital Asset
Culture ROI, Values-Aligned Hiring Premium, Cultural Debt, Rebuilding After Layoffs
10.
22.10 Decision Architecture for Leaders
Decision Velocity, Reversible vs Irreversible, Consensus Costs, Disagree-and-Commit
11.
22.11 Leading Remote & Distributed Organizations
Remote Leadership Premium, Async Leadership, Distributed Decision Making
12.
22.12 Innovation Leadership Economics
Innovation Budget Allocation, Two-Pizza Teams, Hackathon ROI, Intrapreneurship
13.
22.13 Crisis Leadership & Resilience
Crisis Response Economics, Incident Command, Communication Under Pressure, Recovery Costs
14.
22.14 Ethical Leadership & Governance
Ethics ROI, Governance Structures, Board Responsibility, Long-Term Trust Building
15.
22.15 Leadership Capital Synthesis
Your Leadership P&L, Development Roadmap, 360 Assessment, Personal Board of Advisors
Tools & Assets
Executive & Board Economics
Board reporting, EBITDA translation, M&A leadership, and technical debt at the balance sheet level — curated for senior leaders and aspiring C-suite.
Applied practice modules: startup economics scenarios, platform engineering, org scaling, cloud FinOps, SaaS metrics, and the full R&D Capital Audit capstone project.
1.
4.1 Startup Engineering Economics
Runway-Aware Engineering, MVP Economics, Series A Positioning
2.
4.2 Enterprise Platform Economics
Platform Tax, Developer Experience ROI, Platform Team Economics
3.
4.3 Engineering Org Scaling
Scaling Laws, Hiring Economics, Span of Control, Conway's Law
4.
4.4 Cloud FinOps & Infrastructure
Cloud Cost Anatomy, Reservation Strategy, FinOps Culture
5.
4.5 SaaS Metrics Deep Dive
NRR, CAC:LTV, Unit Economics, Rule of 40, Engineering Efficiency
6.
4.6 Capstone: Full R&D Capital Audit
Complete Audit Project, Board-Ready Document, Investment Roadmap
7.
4.7 Case Study: SaaS Scale-Up
Series B Audit, Scaling Challenges, Technical Debt Hotspots
8.
4.8 Case Study: PE Portfolio
Post-Acquisition Audit, Platform Consolidation, Team Restructuring
9.
4.9 Case Study: AI Startup
Burn Rate Optimization, Model Economics, Commercialization
10.
4.10 Case Study: Enterprise Modernization
Legacy Migration, Dual-Speed IT, Strangler Fig Pattern
11.
4.11 Building Your Practice
Engagement Design, Pricing, Deliverables, Client Management
12.
4.12 Tools Deep Dive
Professional Tool Workflow, Cross-Referencing, Assessment Timing
13.
4.13 Presentation & Storytelling
SCR Framework, Data Visualization, Executive Communication
14.
4.14 Continuous Improvement
Engineering OKRs, Monthly Reviews, Automated Dashboards
15.
4.15 Final Capstone Assessment
End-to-End Audit, Peer Review, Professional Presentation
You already publish on calculating technical debt's EBITDA impact for PE due diligence. Direct buyer intent from PE firms, CFOs, and VPEs preparing for acquisitions or audits.
1.
9.1 Technical Debt on the Balance Sheet
GAAP Treatment, Liability Classification, Audit Disclosure
2.
9.2 Quantifying Debt in Dollar Terms
PDI Methodology, Maintenance Load Costing, Interest Rate Models
3.
9.3 Technical Insolvency Date
When Debt Exceeds Capacity, Death Spiral Indicators, Tipping Points
4.
9.4 Debt Impact on EBITDA
Maintenance Drag on Margins, Developer Velocity Tax, CFO Translation
5.
9.5 PE Due Diligence: Tech Debt Assessment
Pre-LOI Scans, Deal Breakers, Discount Models, Holdback Structures
6.
9.6 Debt Forgiveness Protocols
Sunk Cost Fallacy, Code Bankruptcy, Rewrite Mathematics
7.
9.7 Architecture Debt Valuation
Coupling Costs, Monolith Decomposition, Migration Economics
8.
9.8 Infrastructure Debt
EOL Hardware, Unpatched Systems, Cloud Migration Forcing Functions
9.
9.9 Communicating Debt to the Board
Visual Frameworks, Risk Heat Maps, Investment Proposals
10.
9.10 Tech Debt Remediation Economics
Wave Planning, ROI-First Prioritization, Continuous Paydown Models
PE firms, corporate development teams, and VCs evaluating AI companies need this. A natural extension of R&D Capital Management with a clear buyer profile.
1.
10.1 AI Company Valuation Frameworks
ARR Multiples for AI, Revenue Quality, Gross Margin Analysis
2.
10.2 AI Model Asset Valuation
Proprietary Data Moats, Fine-Tuned Model Worth, Training Cost Basis
3.
10.3 AI Infrastructure Audit
GPU Contracts, Cloud Commitments, Inference Cost Trajectories
4.
10.4 Data Asset Due Diligence
Data Quality Scoring, Licensing Compliance, Privacy Risk Assessment
5.
10.5 AI Team Assessment
Key-Person Risk, ML Engineer Retention, Talent Market Benchmarks
6.
10.6 AI Technical Debt Evaluation
Model Drift Risk, Pipeline Fragility, Retraining Cost Projections
7.
10.7 AI Regulatory & Compliance Risk
EU AI Act Exposure, IP Litigation, Bias Liability Quantification
8.
10.8 Competitive Moat Analysis for AI
Data Flywheel Strength, Model Defensibility, Switching Costs
9.
10.9 Post-Acquisition AI Integration
Model Consolidation, Team Merging, Infrastructure Rationalization
10.
10.10 AI Due Diligence Synthesis
Complete AI DD Report Template, Board Presentation, Deal Structuring
Related Glossary
Tools & Assets
The economics translation layer for Directors, VPs, and aspiring CTOs. Learn to think in P&L, present to boards, own budgets, and position yourself as a revenue-driving executive — not a technical manager.
1.
13.1 The Language of the Boardroom
EBITDA Translation, Margin Frameworks, Executive Vocabulary
2.
13.2 Budget Ownership & R&D Stewardship
CapEx vs OpEx, Headcount Modeling, Zero-Based Budgeting
3.
13.3 Board Reporting for Technical Leaders
4-Quadrant Slides, KPI Dashboards, Investment Proposals
4.
13.4 Reorg Economics & Org Design
Restructuring Costs, Productivity Dip, Conway's Law at Scale
5.
13.5 M&A Technical Leadership
Due Diligence Leadership, Integration Playbook, Talent Retention
6.
13.6 CTO vs VP Engineering Economics
Role Separation, Cost Structures, Board Relationship Dynamics
7.
13.7 Managing Technical Debt at the Board Level
Risk Heat Maps, Investment Proposals, Remediation Roadmaps
8.
13.8 AI Strategy for Executives
AI Investment Framework, Build vs Buy at the C-Suite, Vendor Selection
9.
13.9 The 90-Day CTO Turnaround
Trust Bridge, 360 Audit, Quick Wins, Board Confidence Building
10.
13.10 Executive Economics Synthesis
Your CTO Dashboard, Quarterly Cadence, Long-Term Capital Planning
Tools & Assets
Most acquisition value is destroyed during integration. This track teaches you to evaluate, plan, and execute technical integrations that preserve — not destroy — the value your company spent millions to acquire.
1.
16.1 Pre-Acquisition Technical Assessment
Tech Stack Compatibility, Integration Cost Estimation, Deal-Breaker Discovery
2.
16.2 Platform Merge Economics
Dual-Stack Costs, Migration Timelines, Consolidation Savings Projections
3.
16.3 Team Integration Without Attrition
Culture Bridge Protocol, Retention Bonuses, Identity Preservation
4.
16.4 Data & API Consolidation
Schema Merge Costs, API Unification Strategy, Customer Migration Planning
5.
16.5 Synergy Realization Tracking
Synergy Timelines, Cost Savings Verification, Value Capture Dashboards
6.
16.6 Post-Merger Architecture Decisions
Best-of-Both Selection, Architecture Governance, Technical Debt Inheritance
7.
16.7 Integration Governance & Reporting
PMO Economics, Status Reporting, Board Integration Updates
8.
16.8 Customer Impact Management
Migration Communication, Feature Parity SLAs, Churn Prevention During Integration
9.
16.9 Multi-Acquisition Portfolio Management
Serial Acquisition Playbooks, Platform-First Strategy, Integration Velocity
10.
16.10 Integration Post-Mortem & ROI Report
Actual vs Projected Synergies, Lessons Learned, Board Accountability
Related Glossary
Tools & Assets
Engineering leaders manage millions in vendor relationships but are never taught contract economics. This track teaches you to negotiate, optimize, and govern vendor spend with the same rigor you apply to your codebase.
1.
18.1 SaaS Sprawl Cost Analysis
Shadow IT Quantification, License Waste, Overlapping Tool Audit
2.
18.2 Vendor Consolidation ROI
Platform vs Best-of-Breed, Consolidation Savings, Migration Costs
3.
18.3 Contract Negotiation Economics
Leverage Point Analysis, Quarter-End Timing, Competitive Positioning
4.
18.4 Cloud Commitment Strategy
Reserved vs On-Demand, Savings Plan Economics, Commitment Risk Analysis
5.
18.5 Renewal vs Replacement Analysis
Switching Cost Calculation, Feature Parity Assessment, Total Migration TCO
6.
18.6 Procurement Process Optimization
Procurement Cycle Time, Legal Review Bottlenecks, Security Assessment Costs
7.
18.7 Enterprise License Agreement (ELA) Economics
True-Up Risk, Shelfware Analysis, ELA vs À La Carte Comparison
8.
18.8 Vendor Risk & Dependency Management
Single-Vendor Exposure, Vendor Viability Assessment, Exit Planning
9.
18.9 Open Source vs Commercial: The Complete TCO
Free ≠ Free, Support Costs, Compliance Overhead, Community Risk
10.
18.10 Vendor Spend Dashboard & Governance
Spend Visibility, ROI Tracking, Annual Review Cadence, Board Reporting
Related Glossary
Tools & Assets
The final frontier: translating technical excellence into boardroom authority. This track teaches senior leaders and aspiring C-suite executives to command rooms, govern budgets, and drive organizational strategy with economic precision.
1.
23.1 Executive Presence as Economic Asset
Presence Premium, Authority Economics, Credibility Capital, First Impressions ROI
2.
23.2 Board Communication Mastery
Board Slide Economics, Data Storytelling, 4-Quadrant Framework, Question Navigation
3.
23.3 P&L Ownership for Technical Leaders
Revenue Responsibility, Cost Center to Profit Center, Budget Defense, Margin Accountability
4.
23.4 Investor Relations for CTOs
Earnings Call Preparation, Technical Due Diligence, IR Strategy, Analyst Relations
5.
23.5 Strategic Planning & OKR Economics
Annual Planning Cycles, OKR Cascade Design, Strategy-to-Execution Translation
6.
23.6 Cross-Functional Executive Alignment
CTO-CFO Bridge, Engineering-Sales Alignment, Product-Engineering Governance
7.
23.7 Executive Negotiation & Deal Economics
High-Stakes Negotiation, M&A Leadership, Partnership Economics, Vendor C-Suite Engagement
8.
23.8 Organizational Restructuring Economics
Reorg ROI, Layoff Economics, Rebuilding Morale, Restructuring Communication
9.
23.9 Executive Coaching & Peer Networks
Executive Coach ROI, Peer Advisory Boards, Mastermind Economics, Network Capital
10.
23.10 Public Speaking & Thought Leadership
Conference ROI, Publishing Strategy, Media Training, Brand Value Economics
11.
23.11 AI Strategy at the Board Level
Board AI Literacy, AI Investment Governance, Risk Oversight, Innovation Committees
12.
23.12 Succession Planning Economics
Leadership Pipeline ROI, Key-Person Risk Mitigation, Talent Reviews, Development Budgets
13.
23.13 Board Governance & Fiduciary Economics
Board Composition, Committee Structures, Fiduciary Duty, Director Economics
14.
23.14 Global Leadership & Scale
International Expansion, Cross-Cultural Leadership, Global Team Economics, Regulatory Navigation
15.
23.15 Executive Leadership Synthesis
Your Executive Dashboard, Legacy Planning, Long-Term Capital Strategy, Board-Ready Portfolio
Tools & Assets
Stop Guessing at ROI.
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Every module teaches you to connect work to business outcomes. $149 per track. $999 for everything. Lifetime access.
Product Economics Academy
23 tracks • 293 modules • Lifetime access