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How to Build an AI Operating System for Business Growth
A practical method for turning one costly growth workflow into a governed AI loop, proving value quickly, and consolidating tools around it.
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How to Prepare for a Senior Product Manager Technical Interview
A practical framework for proving technical judgment, handling AI-first interview formats, and preparing stories that survive senior-level follow-up.
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AI Agent Trust Starts With Organizational Readiness
A practical operating model for deciding what AI agents may do, where humans must approve, and how to earn trust before scaling autonomy across the business.
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From Chat to Action: How to Build AI Agents You Can Trust
A practical framework for choosing agent workflows, defining permissions, verifying outcomes, and expanding autonomy without losing control.
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How to Build an AI-Assisted Holiday E-Commerce Creative System
A practical plan for turning product images into governed, testable holiday creative with AI while preserving brand and product accuracy.
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Why Better AI Models Aren’t Making Your Team Much Faster
A practical operating model for turning faster AI-assisted work into shorter team lead times without burying reviewers or top operators.
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A Practical Playbook for AI in Back-Office Operations
A practical framework for choosing back-office AI workflows, setting safe autonomy, and proving improvements in cost, quality, and resilience.
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The Real Cost of AI-Assisted Software Product Delivery
A practical way to price AI-assisted delivery across prototyping, production engineering, reliability, launch, operations, and maintenance.
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Why AI Adoption Stalls After the Pilot—and How to Fix It
A practical guide to finding the data, integration, authority, context, and ownership failures that keep promising AI pilots from delivering.
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How to Give Your AI Strategy Financial Staying Power
A practical framework for sequencing AI investment, testing unit economics, preserving optionality, and surviving timelines you cannot control.
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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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Operating Lessons from Plaid’s COO for Scaling Through Change
Plaid COO Eric Sager’s operating approach shows how capacity, customer ownership, decision trade-offs, delegation, and onboarding can support resilient growth.
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How to Operate AI Customer Agents as a Reliable CX System
A practical operating model links agent capabilities, release readiness, evaluation, measurement, and ownership into one continuous CX improvement loop.
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A Systematic Product Launch Strategy Beyond Announcement Day
A practical framework for aligning positioning, launch readiness, partner execution, and product analytics around sustained customer adoption.
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Turning Pendomonium Insights Into a Product Growth System
A practical system for turning Pendomonium sessions, expert input, and peer conversations into measurable onboarding and activation experiments.
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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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AI-Native Startup Execution: A Practical Operating System
A practical operating model for choosing the wedge, focusing the ICP, designing the team, and turning model-quality evidence into customer outcomes.
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A Product Leadership System for Faster, Clearer Execution
A practical operating system for clearer ownership, smaller batches, faster decisions, stronger quality, and outcome-focused product teams.
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Delegated Decision-Making: Build a System That Scales
A practical system for assigning decision rights, teaching judgment, setting escalation triggers, and reviewing outcomes without taking control back.
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Outcome-Driven Go-to-Market: From Launch Plan to Growth Loop
A practical operating system for tying positioning, product behavior, cross-functional decisions, and enterprise proof to measurable growth.
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