outcomes vs output OKRs
- AI Strategy (429)
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Supercharge Your Engineering Org: Alignment, AI, and Productivity from Adobe to Etsy
Engineering speed is a function of alignment, not heroics. In this first-person breakdown, I unpack how modern engineering teams can scale productivity with outcomes vs output…
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Inside Rewind AI’s Playbook: PMF Breakthroughs, Bold Twitter Fundraise, and the Future of AI
I explore Rewind AI’s path to product-market fit, the cultural habits that enable fast validation, and the bold Twitter-first fundraising strategy that rallied users and capital.…
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Goal-Setting for AI Products: How I Plan, Prioritize, and Confidently Ship in a Nonlinear GenAI World
Planning AI roadmaps is fundamentally different from traditional software. I share how I set outcomes-first OKRs, balance research and product development, and scale safely without over-planning.…
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Engineering Leadership That Scales: Strategy, Velocity, and Org Design from Carta, Stripe, Uber, Calm
High-growth engineering orgs succeed by pairing a clear strategy with compounding platform bets and outcome-focused execution. In this deep dive, I break down practical patterns I…
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Inside Bard’s Playbook: How to Ship AI Fast, Build Ethically, and Outlearn Competitors
Building AI products demands speed and responsibility. I unpack the Bard blueprint—how principled constraints, early public learning, and tight product theses enable rapid iteration without sacrificing…
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An Operating System for AI-Era Product and Engineering Leaders
A practical model for turning faster AI-assisted output into reliable customer outcomes through clear bets, evals, decision rights, and learning loops.
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What Makes or Breaks Executive Hires: My Lessons on Fit, Red Flags, and Measuring Success
Executive hiring is a make-or-break decision that demands clarity on fit, scope, and measurable outcomes. In this deep dive with Eeke de Milliano, I unpack the…
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Persuasive Leadership for Founders: My Take on Wes Kao’s Playbook to Influence and Win
Founders and product leaders don’t need more noise—they need persuasive clarity. In this first-person breakdown, I share how to align your message with your natural style,…
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When a Focused Product Wedge Is Ready to Become a Platform
A practical framework for deepening a winning wedge, extracting reusable platform primitives, and expanding without weakening product-market fit.
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How to Build an AI-Native Product Team Operating Model
A practical operating model for AI-native squads, platform services, decision rights, evaluation gates, metrics, and a disciplined 90-day rollout.
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Reliable AI Product Systems: A Product Leader’s Playbook
A practical operating model for defining reliability, designing bounded AI workflows, building evals, and controlling releases in production at scale.
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Building an AI-Era Product Operating Model That Can Learn
A practical operating model for giving AI product teams clear outcomes, faster evidence loops, proportionate governance, and a repeatable path to scale.
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- AI Strategy (429)
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