AI Strategy
- AI Strategy (429)
- Generative AI (113)
- IT Leadership (38)
- Leadership (81)
- Product Management (394)
- Product Management Leadership (373)
- Uncategorized (32)
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AI Product Owner in 2026: The High-Impact Role Every Team Needs to Win With AI
The AI Product Owner is the keystone role that converts AI strategy into measurable outcomes. I explain how it differs from traditional Product Management, the core…
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How to Build Marketing Analytics That Measures Revenue
Connect campaigns, product activation, CRM stages, retention, and experiments to revenue decisions without mistaking attribution for causality.
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How to Build a Conversation-Based Customer Experience Score
Learn how to design an explainable conversation score, validate its coverage, route each driver to an owner, and judge when it can replace CSAT.
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AI-Enabled Customer Support Roles: A Practical Org Design
A practical model for assigning AI quality, knowledge, conversation design, automation, and human escalation without hiring too early.
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Mastering Data Governance in the AI Era: Move Fast, Reduce Risk, and Unlock Trusted Insights
AI is changing the rules of data governance, and the winners will combine speed with trust. In this piece, I share a practical blueprint for building…
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How We Built an AI Sleep Coach: CBTI, Voice AI, and a Product Playbook for Better Rest
I break down how Rest turned CBTI into a voice-first AI sleep coach that feels personal, safe, and effective. The team discovered a high-intent niche in…
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High-Quality Data, High-Velocity AI: My Product Playbook for Governance, Trust, and Scale
High-quality data is the fastest path to real AI impact. I outline how data contracts, privacy-by-design, and a unified analytics platform create the foundation for trustworthy,…
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AI-First Customer Support for Sustainable Ecommerce Growth
A practical operating model for choosing AI support workflows, controlling ecommerce actions, measuring real resolution, and scaling without losing trust.
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PendomoniumX London: An Operating Model for AI Products
A practical operating model for turning AI pilots into trusted product workflows that customers discover, adopt, repeat, and teams can govern.
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Brand Visibility in AI Answer Engines: A Product Playbook
A practical product-led system for earning accurate brand mentions, grounded citations, and completed actions across AI answer engines.
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How I Use ChatGPT to Supercharge PM: Smart Workflows, Killer Prompts, and Real-World Wins
ChatGPT has become a quiet force multiplier in my product leadership—accelerating discovery, clarifying roadmaps, and sharpening stakeholder communication. I use it to draft PRDs, structure A/B…
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Taming 1,000+ Vendor Emails: How Xelix’s AI Helpdesk Delivers Fast, Confident Answers
Vendor communication is noisy, costly, and ripe for AI—if you build it right. I break down how an AI Helpdesk can transform 1,000+ daily vendor emails…
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AI Won’t Replace Engineers—Engineers Using AI Will: A Practical Playbook for Your Next Move
AI is automating tasks, not eliminating software engineers. The real opportunity is to shift from rote implementation to systems thinking, product discovery, and responsible AI Strategy.…
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A Quality System for Trustworthy AI-Assisted UX Research
Learn how to use AI for UX synthesis without weakening evidence, participant coverage, privacy, or the product decisions the work supports.
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How to Evaluate AI Voice Support in Real-World Conditions
A practical framework for testing AI voice support across live conversation, backend actions, failure recovery, escalation, and rollout readiness.
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From Sketch to Clickable Demo: My AI Prototyping Playbook to Build Apps in Hours
I share a practical playbook for turning napkin sketches into clickable AI prototypes in hours. You’ll see how I frame outcomes and MDEs, generate UI quickly,…
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Win AI Search: Proven Playbook to Get Your Startup Recommended by ChatGPT & Perplexity
AI search is becoming the new homepage for startups, and the brands that win are the ones models can clearly identify, verify, and cite. In this…
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AI Context Engineering: A System for Product Decisions
A practical workflow for turning customer evidence, product metrics, constraints, and human judgment into AI-assisted decisions your team can test.
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Agentic AI for Incident Response: A Practical Operating Model
A practical operating model for scoping, governing, evaluating, and rolling out incident-response agents without surrendering human control.
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Turn Claude Code Into a Trusted Teammate: My 3-Layer Memory System You Can Copy
I used to waste hours repeating the same context to AI and getting generic, off-the-mark feedback. By giving Claude Code a persistent, file-based memory, I now…
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Browse topics
- AI Strategy (429)
- Generative AI (113)
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- Leadership (81)
- Product Management (394)
- Product Management Leadership (373)
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