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- AI Strategy (429)
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- Product Management Leadership (373)
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Own Your AI: 4 Essential Roles to Supercharge Support and Prevent Performance Drift by 2026
AI doesn’t fail because models are weak; it fails when no one owns performance. In this third installment of my 2026 customer service planning series, I…
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AI vs. Human Judgment in Customer Interviews: The Hard‑Won Lessons That Changed My Mind
I’ve changed my stance on using AI for customer interview analysis and synthesis after six months of hands-on experiments. AI raises the floor for beginners, but…
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Unlock AI Product Roadmaps: Essential Tools Every PM Needs to Prioritize and Ship Faster
The AI era demands roadmaps that learn as fast as your customers do. In this first-person playbook, I share how I connect AI strategy to product…
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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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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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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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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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AI at Home, Impact at Work: Experiments That Supercharged My Product Leadership
I reflect on a standout All Things Product conversation that reinforced how low-stakes AI experiments at home can dramatically improve how we build AI-powered products at…
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From Chaos to Consistency: How I Built a Scalable AI Content Design Agent with RAG
I built an AI content design agent that scales quality without sacrificing judgment by grounding it in a rigorous design system and a curated RAG knowledge…
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What I Learned from Trainline’s Agentic AI: Building a Trusted Travel Assistant at Scale
Agentic AI only works at scale when orchestration, tools, and guardrails are designed together. Trainline’s approach demonstrates how to pair scalable reasoning with deep domain context,…
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Why We’re Building Our Next AI R&D Hub in Berlin—and Hiring 100 to Power Fin’s Growth
We’re opening our next AI R&D hub in Berlin to accelerate Intercom and our AI Agent, Fin, and we plan to hire 100 people across engineering,…
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Context Is King: My Playbook to Prep Product Teams for High-Impact AI Collaboration
AI becomes a powerful teammate when we give it the right context. In this commentary, I share how I operationalize context—decision logs, success metrics, and machine-readable…
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Inside Japan’s AI Marketing Shift: How 500 Teams Boost Efficiency, Results, and Careers
New research from Japan underscores how AI, anchored in disciplined analytics, is accelerating marketing efficiency, measurable results, and career growth. I break down why a unified…
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How Luminance Builds Legal-Grade™ AI at Scale: My Product Lens on Trust and GTM
I break down how Luminance operationalizes Legal-Grade™ AI for enterprise by combining domain-specialized, agentic AI with rigorous governance and human-in-the-loop controls. I highlight the product metrics…
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Governed GenAI Delivery: A Practical Operating Model
A practical operating model for shipping GenAI with explicit risk ownership, evaluation gates, human review, controlled rollout, and rollback.
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From $2M to $100M ARR: Inside fal’s Explosive Pivot and the Future of Generative Media
Generative media is shifting from novelty to necessity, and fal’s journey offers a blueprint for navigating that shift. By pivoting from data infrastructure to generative inference,…
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Supercharge Your Engineering Org: Alignment, AI, and Productivity from Adobe to Etsy
Engineering speed is a function of alignment, not heroics. In this first-person breakdown, I unpack how modern engineering teams can scale productivity with outcomes vs output…
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