AI Insights
Practical AI perspective from the operator's seat.
AI Startup Founders
Building an AI-native company from zero.
The Hidden Cost of Premature Infrastructure Optimization at Series A
Building the right infrastructure too early costs more than building wrong. Here's how to tell if you're solving a real constraint or your board's anxiety.
Scaling Playbooks
Build or Rent Your AI Infrastructure? Run the Reversibility Test First
Feature comparisons won't settle build-vs-rent. Estimate the 12-month switching cost for each stack layer — that number makes the call.
AI Strategy
Frontier Model Risk: How AI-Native Companies Plan for Continuity
Five failure modes, a blast-radius scoring worksheet, and stage-matched continuity tiers for AI companies that depend on models they don't control.
AI Strategy
Why the Team That Got You to Series A Will Break Between B and C
The slowdown between Series A and Series C is structural, not motivational. Here are the five failure modes — and the interventions that actually fix them.
Scaling Playbooks
Signal Versus Noise on the AI Frontier: What Operators See That Conference Attendees Don't
A six-test framework from an operator's perspective for filtering AI claims — concurrency, cost, second customer, drift, outage, and operator load.
Scaling Playbooks
How to Translate Investor Pressure Into Operational Clarity in AI
Turn board-room AI directives into written priorities with owners, metrics, and deadlines using a four-step method: Surface, Locate, Re-express, Anchor.
Scaling Playbooks
The Four Scaling Decisions That Compound — and How to Tell You're About to Get One Wrong
Between Series A and Series C, four decisions compound faster than the rest. Here's how to spot which one is quietly drifting before it rewrites your quarter.
Scaling PlaybooksCorporate AI Leaders
Driving AI adoption inside the enterprise.
The Build-vs-Buy-vs-Partner Decision Most AI Strategies Get Backwards
The standard 'build if strategic, buy if commodity' heuristic fails for AI. Four lenses reveal the posture that actually compounds.
Scaling Playbooks
How to Tell Which AI Capabilities Will Be Commodities in 18 Months
Four observable signals tell you if an AI capability will commoditize before it ships — and which 30% of the proposal is actually worth building.
AI StrategyRising Tech Leaders
Stepping up into bigger technical leadership.
Where AI Strategy Goes to Die: The Execution Gap and How Leaders Read It
AI initiatives don't fail in the boardroom — they die in translation. Learn the five structural failure points and how to read the execution gap from your current seat.
AI Strategy
How Experienced Leaders Decide Where to Bet on AI — and Where to Wait
A three-axis framework — reversibility, time-to-signal, and strategic fit — for making disciplined AI investment calls at any level of an organization.
AI Strategy
The Second-Order Effects Senior Leaders Watch For Before They Greenlight AI
Most people evaluate AI on first-order wins. Senior leaders are two moves ahead—asking what that win does to the team, incentives, and workflow.
AI Strategy
Becoming the Person Your Organization Turns to on AI — Without 20 Years of Experience
You don't need two decades to become your org's go-to AI voice. You need demonstrated judgment — here's how to show it from your current seat.
AI Strategy
Does Your Career Path Actually Lead to the Chair You Want?
Six signals, four untested assumptions, and a one-sitting diagnostic to tell if your path is climbing — or running sideways at altitude.
Career Strategy
Speaking the Language of AI Strategy: What to Say So Leaders Hear You
Your AI input keeps landing as a technical note, not a strategic contribution. One three-move translation framework changes how the room hears you.
AI StrategyAI-Aware Professionals
Staying sharp as AI reshapes the work.
Signal, Noise, and the Things Being Mistaken for Both in AI Right Now
Most leaders are losing the AI cycle by treating every release as signal. A three-question filter — cost curve, work structure, compounding — fixes that.
AI Strategy
Why Most AI Strategies Are Decks, Not Strategies
Most AI strategies get approved as communication artifacts but are expected to deliver as real ones. Here's how to tell the difference in five questions.
AI Strategy
AI Doesn't Replace Leadership. It Exposes the Quality of It.
AI isn't coming for your job — it's grading how you lead. Where decisions are crisp, it compounds your edge. Where they're foggy, it broadcasts the fog.
Scaling Playbooks
How to Build an Executive Point of View on AI Without Becoming an AI Expert
You don't need more AI knowledge — you need a stable frame. Five questions that turn any AI announcement into decisions actually on your desk.
Scaling Playbooks
What AI Is Quietly Doing to Career Compounding
AI isn't replacing your job — it's repricing your experience. Here's how to audit which parts of your career are still earning interest.
Career Strategy