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Thinking about AI product building, hands-on AI tools, governance, and the economics of shipping AI in production.
Writing
Thinking about AI product building, hands-on AI tools, governance, and the economics of shipping AI in production.
Showing 13–24 of 80 articles

The hiring signal has inverted. Prestige credentials from the big-tech era correlate weakly with AI fluency. Screen for recency, not brand.

Success in the old operating model is a reinvention tax. The senior leaders who mastered roadmap theatre and stakeholder alignment struggle most to adapt.

The 2024–2026 layoff cycle isn't a ZERP correction. It's a talent swap at a 3.75:1 ratio, with an entirely different skill filter. Most discourse misses it.

Energy, chips, systems, models, applications. Every layer matters. Only one pays compounding returns. A framework for picking yours.

Every useful agent becomes a power user of the SaaS underneath it. Install base explodes, API calls multiply, workflow gets more essential, not less.

Current AI chat security best practices: prompt injection testing, external guardrails, action boundaries, and defence in depth.

Keith Rabois' barrels vs. ammunition framework reframes what AI changes about teams. More ammunition without more barrels solves the wrong problem.

Most enterprise AI teams centralise first, then decentralise. Both fail. Here's the hub-and-spoke structure that actually works.

90%+ enterprise AI tool access, most people stuck in chat. The rollout bottleneck isn't the model. It's the harness. Here's the product fix.

Product teams reflexively strip onboarding friction. Intentional friction that helps users understand why the product is for them increases conversion.

The top AI user in high-performing companies isn't engineering — it's the CMO. Here's why that's the real signal for whether AI adoption has reached the decision layer.

The best AI growth teams deliberately sacrifice short-term metrics. Restraint on pricing, error handling, and safety compounds into retention and trust.