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Join My 2026 Continuous Discovery Habits Book Club: Build Weekly Discovery Routines That Stick
Read more: Join My 2026 Continuous Discovery Habits Book Club: Build Weekly Discovery Routines That StickI’m kicking off a year-long, community-driven book club to practice Continuous Discovery Habits together—one section per month. You’ll get monthly reading guides, reflection prompts, and hands-on exercises to build real habits, not just knowledge. We’ll amplify the ideas with shareable videos and meet live each quarter to tackle challenges with peers. You’ll connect discovery to…
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Build vs Buy in 2026: How I Make Confident, AI-Savvy Software Decisions That Scale
Read more: Build vs Buy in 2026: How I Make Confident, AI-Savvy Software Decisions That ScaleThe build vs buy decision in 2026 demands a smarter playbook shaped by AI, time-to-value, and total cost of ownership. I build where we differentiate and buy where we need parity—then re-evaluate as we learn. My scorecard weighs differentiation, urgency, risk, integration complexity, and AI portability to keep choices objective. Security, regulatory compliance, and data…
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Inside the AI Customer Service Shift: What 166 Leaders Told Me About Teams, Roles, and ROI
Read more: Inside the AI Customer Service Shift: What 166 Leaders Told Me About Teams, Roles, and ROII analyzed 166 practitioner interviews to uncover how AI agents like Fin are reshaping customer service. The data shows widespread change: ≈95% of teams reworked workflows, 82.53% evolved roles toward AI oversight, and 27.71% saw reduced Tier 1 headcount demand. New AI-focused roles and pods are emerging, hierarchies are flattening, and skills like data literacy…
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4 Costly Misconceptions About Building AI Agents—and How I Turn Them Into Wins
Read more: 4 Costly Misconceptions About Building AI Agents—and How I Turn Them Into WinsToo many teams treat AI agents like plug-and-play magic and end up with brittle demos that don’t scale. I break down four costly misconceptions and share the product practices that actually deliver: narrow problem framing, retrieval-first architecture, human-in-the-loop safeguards, and product-led growth for activation. You’ll see why architecture beats model size, why governance must be…
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3 Powerful Ways AI Is Rewriting Cybersecurity: Smarter Defense, Faster Response, Fewer Breaches
Read more: 3 Powerful Ways AI Is Rewriting Cybersecurity: Smarter Defense, Faster Response, Fewer BreachesAI is reshaping cybersecurity on both sides of the battlefield. I share three practical ways IT teams can harness AI today: smarter anomaly detection, faster incident response with LLM copilots and orchestration, and targeted countermeasures against AI-enabled attacks. I also outline how to build privacy-by-design guardrails, govern data access, and apply eval-driven development to keep…
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Agent Analytics That Matter: How Pendo Drives Adoption, Cuts Costs, and Reduces Risk
Read more: Agent Analytics That Matter: How Pendo Drives Adoption, Cuts Costs, and Reduces RiskAgent Analytics gives product teams a unified way to connect user interactions with agents and in-app guides to outcomes like activation, retention, and time-to-value. By instrumenting critical journeys and pairing insights with targeted interventions, you can boost adoption and streamline cost-to-serve. Clear behavioral signals help you spot friction early, improve governance, and reduce risk without…
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Stop Choosing: Blend Inside-Out and Outside-In Thinking to Accelerate Product-Led Growth
Read more: Stop Choosing: Blend Inside-Out and Outside-In Thinking to Accelerate Product-Led GrowthInside-out and outside-in thinking aren’t tradeoffs—they’re a flywheel for product-led growth. Blend a sharp product strategy with continuous discovery and real usage data to drive adoption and retention. Use targeted onboarding, in-app guides, and product tours to compress time-to-value and reduce support costs. Track activation, engagement, and cohort retention to align teams around outcomes vs…
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AI Context Pulling Playbook: How I Get LLMs and Teams to Collaborate for Better Product Outcomes
Read more: AI Context Pulling Playbook: How I Get LLMs and Teams to Collaborate for Better Product OutcomesAI context pulling is a practical way to get reliable, high-quality work from LLMs by leading with the right evidence. I define the task, curate only the most relevant artifacts, and use a retrieval-first pipeline to manage context windows. Structured prompts and source-cited summaries reduce hallucinations and speed up reviews. The approach streamlines discovery synthesis,…
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From Idea to Impact: How AI Supercharges Product Design, Testing, and Time-to-Value
Read more: From Idea to Impact: How AI Supercharges Product Design, Testing, and Time-to-ValueAI is transforming product design and testing by fusing genAI with proven, data-driven practices. I use LLMs to accelerate prototyping, research synthesis, and experiment setup, while preserving statistical rigor and governance. With CI/CD and eval-driven development, we boost deployment frequency and learn faster from A/B tests. In-app guides and product tours turn insights into measurable…
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Master Burger Prompting: Build a High-Impact AI Resume Coach with Proven LLM Structure
Read more: Master Burger Prompting: Build a High-Impact AI Resume Coach with Proven LLM StructureI use a practical burger prompting framework to turn an AI resume coach into a dependable, repeatable workflow. The top bun sets role and mission; the fillings add job-specific context, examples, and a rubric; the bottom bun enforces output structure and quality guardrails. This gives you a detailed prompt structure to get the most out…
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Beyond Digital: How I Drive AI Transformation to Build Adaptive, Intelligent Organizations
Read more: Beyond Digital: How I Drive AI Transformation to Build Adaptive, Intelligent OrganizationsDigital transformation laid the groundwork, but true competitive advantage now comes from AI transformation that learns and adapts in production. I share how I frame the capability stack—from data governance and retrieval-first pipelines to agentic AI and eval-driven development. You’ll see how to link outcomes vs output OKRs with DORA metrics, A/B testing, and model…
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Inside PendomoniumX London: AI’s tipping point and what product leaders should do next
Read more: Inside PendomoniumX London: AI’s tipping point and what product leaders should do nextPendomoniumX London made it clear: AI has crossed from hype into execution, and product leaders need to operationalize fast. I saw the conversation shift toward strategy, workflows, and measurable outcomes tied to real customer value. The imperative now is to align AI initiatives with roadmaps, tighten discovery and evaluation loops, and build governance that enables…
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