// Topics / Operations

Operations

    Decision Latency as a P&L Variable: The Leadership Metric Nobody Owns Canon post — Decision latency is measurable and should be treated as a direct cost driver. leadership metrics strategy The Operating Cadence: Turning AI Leadership Interfaces Into Predictable Output Canon post — Interfaces describe who owns what. Cadence is what turns those interfaces into compounding output. leadership ai operations The Post-Prototype AI Org: Operating Models That Survive Year Two Canon post — Year-two AI failure usually comes from org-design mismatch, not model-quality mismatch. The handoffs are where the system slows down. ai teams leadership How Great CTOs Design AI Roadmaps That Survive Contact With Reality Canon post — AI roadmaps fail when they are sequenced around ambition instead of dependency, verification, and rollback cost. strategy ai leadership Hiring for AI Teams: The Operator Profile That Actually Scales The highest-leverage AI hires are operators who can handle ambiguity, systems tradeoffs, and verification pressure. hiring ai leadership Build the System the Model Cannot Break A manifesto for building AI-native organizations. Twelve tenets across strategy, architecture, economics, and people — and the only test that matters in year two. manifesto ai strategy The Throughput Engineer: Why Headcount Is a Lagging Metric Canon post — Headcount is a lagging metric. The best engineering organizations measure throughput: decision speed, defect containment, and constraint removal. engineering-leadership productivity operations SRE Principles Are Great. The Cargo-Culting Is Not. The SRE hype train has everyone copying Google's playbook without asking whether it fits. What actually matters when you're not running at planet scale. sre devops reliability