Babysitting agents leaves little room for the troubleshooting that engineers enjoy. The harder challenge is developing a system that needs less babysitting.
The business and leadership side of AI: moving beyond personal chat productivity and scattered pilots to real impact across sales, marketing, operations, and shared services.
Why I shifted from Scaling with Agility to Scaling AI from Activity to Impact, and why agility is the operating engine that turns AI ambition into business results.
The delivery side of AI: moving from vibe coding and babysitting agents to a repeatable software factory, managing end-to-end flow, and connecting specs to product outcomes.
Next Insurance broke its whole product development lifecycle into agent skills while keeping sprints, roadmaps, and Jira intact. Why changing who writes the artifacts comes first.
Empowered product teams, outcome-oriented leadership, and a structure that scales without losing speed. What it actually means to operate like a product company.
How product organizations stall as they scale, and the operating model shift that restores flow.
OKRs suffer from over-adoption and under-understanding. Most implementations become another alignment tax. Here's what actually makes OKRs work.
OKRs have become theater in most organizations. This is the reset: why they work when they work, and how to fix them when they don't.
Agile transformations stall, backslide, or produce compliance without outcomes. Diagnosing and recovering from agile that never actually landed.
A conversation on why transformation initiatives stall, and what distinguishes evidence-based change from agile theater.
Portfolio Kanban, lean budgeting, and investment flow: eliminating the overhead of managing work about work while keeping strategic alignment real.
A Portfolio Kanban is just a board until you actively manage it. Here's what that looks like in practice.
SAFe done right: connecting the framework's structure to product thinking, flow principles, and actual business outcomes rather than compliance and ceremony.
Most of your scaling apparatus is now optional; your first principles are not. How to customize SAFe for AI-native, spec-driven development and continuous descaling.
Agile principles aren't software-specific. Applying empiricism, flow, and outcome-focus to marketing, biotech R&D, consumer goods, operations, and the whole organization.
What "working software" means when you're not building software, and how Done Increments apply to physical products, R&D, and business operations.
Treating internal capabilities, transformation initiatives, and the organization itself with the same discipline that great product teams apply to their products.
Jason Fried, Dharmesh Shah, and others on treating the organization itself as a product to be continuously discovered, designed, and improved.
Runnable AI skills you can use on your own work.
Check where your spec-driven workflow stops.
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