AI Transformation Pillars
The AI Transformation Playbook for Consumer Brands
The cornerstone playbook. Five phases: diagnose, anchor, pilot, scale, operate.
Production AI vs AI Demos
The seven properties that separate production AI from demoware.
The V1 Framework: An Introduction
90% thinking, 10% prompting. The methodology behind production AI work.
How to Build an AI Center of Excellence
Operating-led CoE design. Platform, governance, enablement, measurement.
The First 90 Days as a Fractional CTO at a Consumer Brand
The 30-60-90 plan. Diagnose, anchor, deliver. What to refuse.
Measuring ROI on AI Initiatives
Three-number framework. The wrong numbers to avoid. Quarterly cadence.
AI Change Management for Frontline Teams
Why behavior change is the expensive part. Measuring adoption honestly.
AI Governance Without Killing Velocity
Minimum viable governance. Ship pilots first, layer governance from what you learned.
From Marketing Technology to AI-Native Operations
The architecture shift from martech stack to AI-native operating model.
The AI Operating Cadence
Weekly, monthly, quarterly rituals that produce compounding output.
The Hidden Cost of AI Vendor Sprawl
The 70/30 rule. Audit playbook. Consolidation vs best-of-breed.
V1 Framework
V1 Step 1: Strip
Removing AI assumptions. What you actually know vs what you are assuming.
V1 Step 2: Decompose
Breaking AI problems to the irreducible unit of work.
V1 Step 3: Constrain
Defining the real boundaries. Inputs, outputs, authority, failure modes.
V1 Step 4: Define Done
Acceptance criteria as the contract between thinking and output.
V1 Step 5: Instruct
The prompt as specification, not wish. The final 10%.
Case Studies
How NASM Architected the Marketing Technology Stack
110.6% e-commerce growth, ROAS lifted 160% to 800%+, team scaled 3 to 34.
How SplitTesting.com Productized CRO Into an 11x Exit
800% growth in under 9 months. 88%+ clients hit record revenue. Exit at 11x EBITDA.
Veyl Ventures: Six-Figure Daily Decisions
17% MoM revenue growth on flat media budget at nine-figure scale.
How CreativeOS Embeds AI Into 25,000 Brand Workflows
Production AI architecture serving 25,000+ consumer brands with brand-specific guardrails.
From Marketing P&L to AI P&L
The career pivot from growth leadership to AI operations.
Three Exits: Patterns That Compound
The patterns shared across three exits. Productizing as the largest lever.
Industry Verticals
AI Transformation for DTC Health and Wellness Brands
Where AI moves the P&L for DTC health and wellness. Compliance constraints.
AI Strategy for E-Commerce: Consumer Retail Playbook
Five AI surfaces in e-commerce. Contribution margin per session as the anchor.
AI for Subscription Commerce: The Retention Math
Why retention is the P&L. Four AI surfaces, LTV math.
AI for CPG Brands
Channel mix realities. Shopper marketing, demand forecasting, retailer co-marketing.
AI for Specialty Grocery and Natural Foods
Curation-led commerce. Perishables forecasting. Brand-trust constraint.
AI for Consumer Fintech
Regulatory baseline. Four high-ROI surfaces. Build vs buy.
Practical How-Tos
How to Pick the Right LLM: GPT, Claude, Gemini
Four selection axes. The orchestration play. Eval-set-first.
Building Your First AI Agent Workflow
Workflow patterns. First agent worth building. Production observability.
RAG Architecture for Consumer Brands
When to use RAG. The architecture. Cost math. Common failures.
Prompt Engineering for Marketing Operations
V1 Framework applied to marketing prompts. Brand voice spec. Eval set.
AI for Customer Service: A Phased Rollout
Read-only to suggested to autonomous. Escalation logic. Metrics that matter.
AI-Powered Creative Production at Scale
Brief to generation to validation to ship. Guardrails layer.
Audit Your Marketing Tech Stack for AI Readiness
Four-layer audit. The 70% rule. Scoring rubric.
AI Tooling Budget 2026
Allocation framework. Audit-first principle. Reserve for experimentation.
Building Production AI Workflows With Claude Code
What Claude Code is. Production workflows that benefit. Human review pattern.
How to Hire Your First AI Engineer
When to hire. Production AI engineer vs ML researcher. Interview loop.
Tools and Templates
The AI Transformation Roadmap Template
The one-page roadmap I use to anchor consumer-brand AI programs.
The 90-Day AI POC Checklist
Phase-by-phase checklist. Owner, baseline, kill criterion, go/no-go template.
AI Vendor Evaluation Scorecard
Six-axis scoring rubric. Bake-off protocol. Decision artifact.
LLM Cost Calculator: Production Edition
Cost line items. Volume forecasting. Worked example.
AI Initiative ROI Framework
Attribution methodology. Fully loaded cost. Confidence interval.
AI Adoption Survey Template
The 10 to 15 questions that drive decisions. Scoring and segmentation.
Personal Stories
Builder, Operator, Dad: The Order Matters
The identity stack. Why the order is structural, not stylistic.
Three Exits: Lessons From Selling Companies
What was the same across three exits. The post-exit lessons.
The Day I Apologized to a Friend
Accountability as the leadership move that holds across the identities.
Parenting and AI
What my kids reveal about how the next generation works with AI.
The Phoenix Operator
Phoenix metro as home base. The remote, family, and cost math.