competitive differentiation
- AI Strategy (432)
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Why AI Assistant Memory Matters More as Models Open Up
A product strategy for owning assistant memory, preserving user trust, and using open-weight models without locking your product to one vendor.
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AI Governance for Agents, Privacy, and Open-Model Choice
A practical operating model for shipping AI agents with bounded data access, auditable decisions, and enough leverage to change models.
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Customer-Led Product Innovation Without the Novelty Trap
A practical operating model for turning customer struggles into differentiated products without confusing feature requests or novelty with innovation.
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How to Make Your Brand Discoverable and Selectable by AI
A practical framework for correcting AI’s view of your brand, earning trust in a focused category, and measuring whether assistants choose you.
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How Private Equity Firms Can Measure AI-Driven Advantage
A practical scorecard for separating AI activity from verified economic value, repeatable execution, defensibility, and managed risk in private equity.
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Apple AI Pricing: What Product Leaders Should Plan For
A practical framework for interpreting Apple’s AI paywall and pricing AI around customer value, usage costs, context, and completed work.
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Chinese Frontier AI Models: A Product Leader’s Decision Guide
A practical framework for choosing Kimi K3, Qwen 3.8 Max, or DeepSeek V4 Flash by completion reliability, accepted-result cost, and product fit.
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AI Builder Maturity: From Fast Demo to Defensible Product
Use a five-level evidence ladder to diagnose your AI product, test platform risk, and invest in advantages that strengthen as models improve.
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Enterprise AI Ownership: What Your Company Must Control
A practical framework for deciding which AI assets, learning loops, contracts, and platform layers your enterprise must control as models change.
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Competing on Experience: A Retail Banking Product Strategy
A practical framework for choosing the banking journeys, measures, and operating habits that turn customer experience into durable advantage.
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Crafting Beloved Tech Brands: My Moonshot Marketing Playbook for the Post-LLM Era
Marketing in 2026 isn’t a channel plan; it’s a feeling customers want to belong to. In this playbook, I share how to run one unified engine,…
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What the Intercom-to-Fin Rebrand Teaches Product Leaders
A practical framework for making an AI product the company name without confusing customers or abandoning a durable product brand.
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Never Stop Disrupting: Why the Fin API Platform Signals a New Era for Agentic AI
Disruption favors teams that move from features to agents—and the Fin API platform accelerates that shift. With a customer agent platform resolving over 2M issues weekly…
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Apex Arrives: Vertical AI That Beats GPT-5.4 on Customer Service Speed, Accuracy, and Cost
Apex is a new vertical model for Fin that outperforms GPT-5.4 and Opus 4.5 on speed, accuracy, and cost—now powering ~100% of English chat and email…
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Inside Partner Product Marketing: Lessons that Elevate Go-to-Market and Product-Led Growth
Partner product marketing is most powerful when it aligns product positioning, data-driven learning, and cross-functional execution. I share how I translate complex capabilities into outcome-led narratives…
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A Practical Framework for AI-Era Build-versus-Buy Decisions
A practical framework for separating strategic AI IP from commodity tooling, comparing true ownership cost, and preserving a safe exit as scale changes.
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A Proven Go-to-Market Playbook: Align ICPs, Positioning, Pricing, Channels, and Launch for Revenue
Use this practical go-to-market playbook to turn features into revenue. You’ll clarify ICPs, sharpen positioning and value proposition, and align pricing to what customers truly value.…
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Enterprise Go-To-Market That Wins: How Product Marketing Supercharges Analytics Adoption
Enterprise go-to-market succeeds when product marketing and product operate as one. I rely on Amplitude analytics, A/B testing with clear MDE, and continuous discovery to translate…
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How Startups Earn Visibility in ChatGPT and Perplexity
A practical system for turning buyer questions, structured pages, independent proof, and repeatable evaluations into startup visibility in AI search.
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How to Turn Enterprise Positioning Into Measurable Adoption
A practical model for connecting enterprise positioning to activation, retention, and account expansion without mistaking attention for adoption.
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Browse topics
- AI Strategy (432)
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