IT Leadership
- AI Strategy (429)
- Generative AI (113)
- IT Leadership (38)
- Leadership (81)
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- Product Management Leadership (373)
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How to Secure AI Assistant Access to Your Email Inbox
A practical permission model and rollout checklist for letting AI assistants search, draft, and send email without losing account, approval, or policy control.
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AI Engineering in 2026: An Architecture for Reliability
A practical architecture for dependable AI agents, covering bounded workflows, governed memory, production-path evals, and observability in 2026.
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AI-Enhanced Threat Intelligence: From Feeds to Decisions
A practical operating model for turning threat intelligence and internal exposure data into faster, evidence-backed security decisions with controlled AI autonomy.
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Frontier AI Pacing: An Enterprise Safety Assurance Playbook
A practical framework for turning frontier-model evidence into deployment gates, vendor requirements, and coordinated incident controls for AI agents.
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Amplitude SDK vs. Warehouse Ingestion: A Decision Guide
Use this framework to choose Amplitude’s SDK, warehouse ingestion, or a hybrid based on behavioral depth, data authority, and governance.
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The Real Economics of Self-Hosting Frontier AI Models
A practical break-even framework for deciding when token volume, model quality, platform staffing, and utilization justify owning AI infrastructure.
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Governing AI Security Beyond the Open-Weights Debate
A practical operating model for product leaders to govern jailbreak disclosure, open-weight releases, agent containment, and incident-response readiness.
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How Product Leaders Should Govern Open and Closed Frontier AI
A practical framework for choosing open or closed frontier models, limiting agent blast radius, and building security brakes your team can test.
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The July 2026 AI Evaluation Lab Leak: A Leader’s Playbook
A practical governance and containment playbook for testing dangerous model capabilities without turning an internal evaluation into a real-world incident.
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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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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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Migrate Analytics Platforms Without Chaos: 7 Proven Lessons to Plan, Move, and Land Cleanly
Migrating analytics platforms doesn’t have to derail roadmaps or erode trust. I share seven battle-tested lessons—shaped by work with Human37 and Amplitude—that help teams align on…
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Why Product Engineers Are Transforming Software Delivery: Ownership, Speed, and Real Impact
Product engineers blend coding with customer insight, owning problems end to end and eliminating costly handoffs. By pairing continuous discovery with CI/CD, they shorten feedback loops…
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Secure System Access for AI Agents: A Phased Control Model
A practical framework for giving AI agents narrowly scoped system access through phased permissions, independent controls, and measurable safeguards.
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A Layered Playbook for Package Supply Chain Security
A practical framework for reducing package risk through delayed adoption, script controls, provenance checks, dependency pinning, and AI guardrails.
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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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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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How to Scale Session Replay Without Sacrificing Privacy
A practical operating model for scaling session replay with strict capture controls, performance budgets, targeted sampling, and measurable governance.
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Developer-First Amplitude Instrumentation You Can Trust
A practical workflow for making Amplitude events reviewable, testable, and trustworthy from tracking-plan design through production monitoring and repair.
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Behavioral Analytics That Crush Fraud: Spot Anomalies, Prioritize Risk, Act with Confidence
Fraud teams don’t need more alerts—they need clarity, speed, and confidence. Behavioral analytics delivers that by surfacing true anomalies, prioritizing risk by impact, and enabling fast,…
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Browse topics
- AI Strategy (429)
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