product discovery
- AI Strategy (315)
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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 Engineer to Product Manager: A Practical Transition Plan
A practical 90-day plan to build product judgment, prove it through real outcomes, and move from engineering into product management with less career risk.
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Your Ultimate ProductCon San Francisco 2025 Guide: Best Hotels, Eats & Drinks
Plan your ProductCon San Francisco 2025 trip like a product pro. I share a proven, outcomes‑first approach to choosing the right hotel in SoMa, Union Square,…
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How to Build an Outcome-Driven Product Operating Model
A practical operating model for giving product teams clear outcomes, decision rights, evidence standards, and review rituals without losing control.
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Outcome-Driven Product Discovery: From Ideas to Better Bets
A practical system for connecting customer evidence, experiments, and roadmap decisions to measurable user and business outcomes.
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Global Product Manager Playbook: Build Borderless Products, Align Teams, Win Every Market
Building products without borders isn’t a launch plan—it’s a system. In this playbook, I share how a Global Product Manager aligns product strategy, localization, pricing, and…
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AI-Enabled Product Management: A Practical Operating Model
A practical operating model for using AI in discovery, planning, and execution while keeping evidence, judgment, and accountability in human hands.
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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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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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Beyond Digital: How AI Transformation Builds Adaptive, Intelligent Organizations That Win
AI transformation isn’t a tool rollout; it’s an operating model shift toward adaptive, intelligent systems that learn from every interaction. The payoff comes from aligning AI…
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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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Turn Product Insight Into Growth: A Practical Decision Loop
A practical loop for combining behavioral data, contextual surveys, and focused experiments to improve product activation and retention.
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A Practical System for Startup Discovery, Validation, and Growth
A practical system for turning startup assumptions into falsifiable tests, reading real demand, and sequencing growth around the tightest constraint.
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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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How to Build Deep Product Strategy in Regulated Industries
A practical framework for turning regulatory constraints into sharper product bets, testable controls, and a roadmap that scales without hidden risk.
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How Founders Can Pivot Without Losing Execution Discipline
A practical operating system for deciding when to pivot, testing the new direction, protecting execution, and building resilience beyond founder stamina.
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Founder-Led GTM: A Zero-to-One Product-Market Fit Playbook
A practical system for turning founder conversations, qualification, pilots, and product decisions into repeatable evidence of product-market fit.
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A Decision System for Product Discovery, Strategy, and Growth
A practical system for turning customer evidence, strategic constraints, and growth pressure into focused product bets and faster decisions.
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Browse topics
- AI Strategy (315)
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