build vs buy
- AI Strategy (315)
- Generative AI (106)
- IT Leadership (33)
- Leadership (76)
- Product Management (344)
- Product Management Leadership (306)
- Uncategorized (32)
-
Designing AI Products for Chip and Platform Volatility
A practical framework for choosing AI infrastructure, testing provider claims, and building exit paths before platform shifts reach customers.
-
AI Churn Prediction: From Risk Scores to Retention Action
A practical operating model for defining churn risk, routing interventions, choosing whether to build or buy, and proving retention impact.
-
How AI Engineering Leaders Should Run Competing Bets
A practical model for running parallel AI engineering bets, comparing them fairly, choosing on evidence, and converging without political fallout.
-
The Real Economics of Self-Hosting Frontier AI Models
A practical break-even framework for deciding when token volume, model quality, platform staffing, and utilization justify owning AI infrastructure.
-
Frontier AI Updates: A Product Leader’s Adoption Playbook
A practical framework for turning model, inference, open-weight, agent, and multimodal releases into measured product and architecture decisions.
-
Chinese Frontier AI Models: A Product Leader’s Decision Guide
A practical framework for choosing Kimi K3, Qwen 3.8 Max, or DeepSeek V4 Flash by completion reliability, accepted-result cost, and product fit.
-
SpaceX Orbital AI: How to Evaluate the Revenue Case
A practical framework for separating SpaceX’s reported AI revenue from the technical and economic proof required to scale orbital compute.
-
Embodied AI: A Product Leader’s Guide to Generalist Robotics
Use a task-first framework to choose embodied AI workflows, measure useful autonomy, design safety boundaries, and make a sound robotics investment.
-
Enterprise AI Ownership: What Your Company Must Control
A practical framework for deciding which AI assets, learning loops, contracts, and platform layers your enterprise must control as models change.
-
AI Video Generation Advances: A Product Leader’s Playbook
A practical framework for turning gains in video coherence, control, and open-source access into workflows, evaluations, and sound product bets.
-
Cost-Aware AI Model Selection: Pay for Accepted Work
A practical framework to compare AI models by accepted-result cost, test quality, choose hosting, and route production work with safe fallbacks.
-
Old-School Selling Beats PLG in the AI Era: My GTM Playbook for 8‑Day Enterprise Deals
Old-school, in-person selling still beats product-led motions in the AI era because enterprise buyers reward teams who show up and de-risk change. I share how to…
-
Beyond the Product Builder Hype: How AI, org design, and joy shape PM success
Is the product builder wave a mandate or a useful tool? I unpack how to use coding and AI in product management without causing organizational chaos.…
-
Unleashing Inbound Sales with AI: My Playbook for Launching and Scaling Sales Agents Fast
Inbound sales shouldn’t wait in queues, and AI finally gives us a way to act on buyer intent in real time. The Sales Agent Blueprint is…
-
Churn Prediction: A Practical Build-Versus-Buy Framework
A practical framework for choosing build, buy, or hybrid churn prediction based on speed, proprietary data, activation, talent, and total cost.
-
Commercial vs. Internal Products: Hard Truths, High Leverage, and How I Make the Call
Internal products quietly drive customer experience, margin, and speed—yet they’re often underfunded. Commercial products expand scope with positioning, pricing, and GTM complexity, making them harder to…
-
How to Build Cost-Effective PR Review Agents In-House
A practical blueprint for building an in-house PR review agent that controls model spend, limits false positives, and improves review flow.
-
Apex Arrives: Vertical AI That Beats GPT-5.4 on Customer Service Speed, Accuracy, and Cost
Apex is a new vertical model for Fin that outperforms GPT-5.4 and Opus 4.5 on speed, accuracy, and cost—now powering ~100% of English chat and email…
-
A Practical Strategy for Foundational AI Platforms and Analytics
A practical framework for choosing platform capabilities, closing governance gaps, linking AI evaluation to analytics, and scaling adoption.
-
Build vs. Buy in an AI-First World: My Framework to De-Risk Decisions and Own Your Data
Build vs. buy shows up in every product organization, and AI is changing the calculus without eliminating the tradeoffs. In this first-person framework, I walk through…
Weekly digest
One email a week on AI products, enablement and hiring. No fluff.
Browse topics
- AI Strategy (315)
- Generative AI (106)
- IT Leadership (33)
- Leadership (76)
- Product Management (344)
- Product Management Leadership (306)
- Uncategorized (32)
Work with me
45-minute consultation on AI product strategy, GTM and PM hiring — no charge.