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No More Accidental Agents: How We Engineered Global Agent’s Helpful, Curious Personality
Read more: No More Accidental Agents: How We Engineered Global Agent’s Helpful, Curious PersonalityMost AI agents inherit accidental personalities from prompts and defaults. We took a different path, treating personality as a measurable product surface and optimizing it with Agent Analytics. By balancing inquisitiveness and helpfulness through eval-driven development, A/B testing, and conversation design, we created an agent that asks smarter questions and takes clearer action. Guardrails, context…
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The Ultimate Knowledge Management Playbook to Supercharge Your AI Sales Agent
Read more: The Ultimate Knowledge Management Playbook to Supercharge Your AI Sales AgentAI can engage buyers 24/7, qualify intent in real time, and route prospects to the right conversion path—but only if it’s fueled by great knowledge management. In this guide, I share how I build and maintain Sales Agent-ready content, from pricing FAQs and battlecards to persona-driven use cases. You’ll learn what to include, how to…
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I Pointed a “Ralph Wiggum” AI Loop at My Product for a Week—The Data That Stopped Chaos
Read more: I Pointed a “Ralph Wiggum” AI Loop at My Product for a Week—The Data That Stopped ChaosI pointed a “Ralph Wiggum loop” at my product for a week to see how an agentic AI would perform under tight guardrails. The loop moved fast, but Amplitude analytics, feature flags, and anomaly detection kept it from going off the rails. By grounding every experiment in activation and retention metrics, I avoided vanity wins…
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From Vision to Execution: Building Agentic, Data‑Driven Products with Real‑World Rigor
Read more: From Vision to Execution: Building Agentic, Data‑Driven Products with Real‑World RigorAgentic AI demands more than dashboards—it requires a system that observes, reasons, and acts with measurable impact. I connect behavioral analytics to action by pairing Amplitude-style instrumentation with A/B testing, feature flags, and eval-driven development. The result is a tight loop from insight to outcome that strengthens both customer experience and product strategy. Partnering closely…
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From Prototype to Production: How I Built Reliable AI-Generated Opportunity Solution Trees
Read more: From Prototype to Production: How I Built Reliable AI-Generated Opportunity Solution TreesI set out to make AI-generated opportunity solution trees reliable at scale and discovered why updating a tree is far harder than creating one from scratch. By asking the model to show its work and then turning my validator into a tool inside an agentic loop, I reduced ambiguous diffs to explainable, step-by-step change sets.…
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Principal Product Manager Playbook: Strategy, Discovery, and Measurable Impact That Lasts
Read more: Principal Product Manager Playbook: Strategy, Discovery, and Measurable Impact That LastsThis playbook outlines how I translate strategy into measurable outcomes as a Principal Product Manager. I connect customer value to business impact using driver trees and outcomes vs output OKRs. Through continuous discovery and product trios, I de-risk ideas early and focus on what matters most. I validate with Amplitude analytics, A/B testing, and a…
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Unlock High-Leverage PM Work: 5 Claude Cowork Playbooks to Turbocharge Your Strategy
Read more: Unlock High-Leverage PM Work: 5 Claude Cowork Playbooks to Turbocharge Your StrategyTime is a product leader’s scarcest asset, and Claude Cowork helps me protect it by automating the repeatable parts of discovery, planning, experimentation, and launches. These five playbooks turn messy inputs into crisp, review-ready outputs—without sacrificing rigor or judgment. I align strategy to roadmaps with clear outcomes vs output OKRs, accelerate A/B testing with solid…
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Intercom Rebrands to Fin: Why Shedding Brand Baggage Powers the Next AI Era
Read more: Intercom Rebrands to Fin: Why Shedding Brand Baggage Powers the Next AI EraIntercom’s rebrand to Fin aligns the corporate identity with its breakout AI customer agent platform while preserving Intercom as the core product brand, now reinforced by Intercom 2. This shift tackles the classic incumbent challenge: legacy brand baggage that slows category creation. By saying “baggage be gone,” the company places its growth narrative and go-to-market…
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Beyond the Product Builder Hype: How AI, org design, and joy shape PM success
Read more: Beyond the Product Builder Hype: How AI, org design, and joy shape PM successIs 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. Learn why role clarity, guardrails, and empowered product teams matter more than tools, and how to separate personal productivity gains from real product strategy shifts. I also share practical…
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Why We Built AI-Powered FinOps In‑House—and Beat Off‑the‑Shelf Tools in Under a Year
Read more: Why We Built AI-Powered FinOps In‑House—and Beat Off‑the‑Shelf Tools in Under a YearCloud costs were rising faster than growth, and traditional tools couldn’t capture our operational nuance. By building agentic AI FinOps in‑house, we linked billing, telemetry, and product context to generate actionable, auditable recommendations. Anomaly detection, driver trees, and automated rightsizing turned monthly firefighting into continuous optimization. Manual analysis dropped while time‑to‑insight accelerated, enabling engineering to…
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From FinOps to Customer FDEs: How AI Agents and Platforms Unlock Smarter Cloud Spend
Read more: From FinOps to Customer FDEs: How AI Agents and Platforms Unlock Smarter Cloud SpendCustomer Forward Deployed Engineering (FDE) sits at the intersection of FinOps, AI strategy, and real customer outcomes. By pairing internal platforms with agentic AI, teams can illuminate cost drivers, cut waste, and accelerate time-to-value. The shift from internal FinOps capabilities to a customer-embedded FDE function mirrors what many high-growth companies need at the edge. With…
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My Playbook for a Smarter Feature Launch Slack Channel with Agents, Feature Flags, and Readouts
Read more: My Playbook for a Smarter Feature Launch Slack Channel with Agents, Feature Flags, and ReadoutsYour feature launch Slack channel can be a real-time control room when agents handle data questions, feature flags, and post-launch readouts in one place. I share the rituals, guardrails, and AI workflows that keep speed high and risk low. A data agent answers common queries with citations, while a feature flags agent streamlines rollouts with…
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