AI Strategy
- AI Strategy (429)
- Generative AI (113)
- IT Leadership (38)
- Leadership (81)
- Product Management (394)
- Product Management Leadership (373)
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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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China AI Safety Governance at WAIC 2026: A Product Playbook
A practical playbook for turning China’s WAIC 2026 signals on loss of control, agent boundaries, and cyber risk into product decisions.
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AI Video Generation Advances: A Product Leader’s Playbook
A practical framework for turning gains in video coherence, control, and open-source access into workflows, evaluations, and sound product bets.
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How to Scale AI Pilots Into Everyday Operating Work
A practical operating model for choosing the right workflow, setting AI boundaries, measuring value, and scaling with auditable controls.
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Cost-Aware AI Model Selection: Pay for Accepted Work
A practical framework to compare AI models by accepted-result cost, test quality, choose hosting, and route production work with safe fallbacks.
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Gamma’s AI Pivot: Why the Blank Page Mattered More Than AI
Gamma’s pivot shows how to find an AI-native wedge, prove activation, price real value, and absorb enterprise demand without losing focus.
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AI Productivity Is Not a Product Outcome: Measure What Matters
A practical operating model for linking AI-enabled speed to customer behavior, business impact, quality guardrails, and deliberate capacity choices.
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How Snapbar Turned Crisis Into an AI-Native Photo Experience Revolution
Snapbar’s reinvention shows how a mature company can turn crisis into a durable AI product strategy. The company moved from physical photo booths to a WebRTC-based…
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Durable Product and Platform Leadership Beyond the Launch
A practical framework for turning product momentum into lasting platform value through governance, customer trust, disciplined growth, and AI readiness.
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How I Use Novus, the First Product Agent, to Turn Rapid Releases into Measurable Wins
Rapid releases don’t have to blur what’s working. I use Novus to connect code velocity to customer outcomes with eval-driven development, observability, and continuous discovery—without drowning…
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Salesforce to Acquire Fin for ~$3.6B: Powerful AI Synergy, Product Strategy Takeaways
Salesforce will acquire Fin for ~$3.6B, with the deal expected to close in the fourth quarter of Salesforce’s fiscal year 2027. The announcement caps a bold…
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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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Package Hack Wake-Up Call: My Playbook for Securing Cowork, Coding Agents, and Secrets
A recent wave of malicious package hacks pushed me to level up my security posture without slowing down my AI workflows. In this piece, I break…
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An AI Operating Model That Measures Outcomes, Not Activity
A practical way to connect AI quality, customer behavior, revenue, risk, and delivery metrics so teams know what to scale, fix, or stop.
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Speed-to-Lead Is Dead: How AI Agents End the Wait and Rebuild a High-Velocity Sales Org
Prospects shouldn’t wait after they click “contact sales.” AI Agents engage buyers instantly at the peak of intent, collapsing qualification, discovery, and even an initial demo…
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Beyond Accuracy: How I Evaluate AI Customer Service Agents That Delight and Scale
Most teams judge AI agents by accuracy and resolution rates—but that’s only half the story. In my POCs, I mirror real-world messiness, stress-test multi-turn and multilingual…
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Old-School Selling Beats PLG in the AI Era: My GTM Playbook for 8‑Day Enterprise Deals
Old-school, in-person selling still beats product-led motions in the AI era because enterprise buyers reward teams who show up and de-risk change. I share how to…
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Built for Your Biggest Days: How We Engineer Fair, Reliable Scale Without Downtime
Enterprise teams ask sharper questions about scale—and they should. I share how we handle 150k+ requests/sec, shard our source-of-truth data with Vitess and PlanetScale, and reshape…
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Unlocking AI Agents: The Real Barrier Is Readiness—Not Capability—Here’s How to Scale
The biggest barrier to scaling AI Agents isn’t model capability—it’s organizational readiness. I break readiness into five types (content, scope, procedural, data, execution) and show why…
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How to Prove the ROI of an AI Product Before You Scale It
A practical system for tying AI product behavior to incremental revenue, real cost savings, and risk-adjusted launch, scale, or rollback decisions.
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Browse topics
- AI Strategy (429)
- Generative AI (113)
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- Leadership (81)
- Product Management (394)
- Product Management Leadership (373)
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