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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 37–48 of 82 articles

Zapier's V2 AI Fluency Rubric reveals a calibration problem. Most companies' target for AI adoption maps to Zapier's baseline, one step above their minimum.

The traditional property portal is a database wrapper that shifts the cognitive load entirely onto the buyer. AI is about to collapse that model completely.

AI product people who have not felt latency or wrestled with hallucinations first-hand build strategies on fantasy. The case for hands-on builder identity.

Anthropic research reveals a 61-point gap between AI capability and actual deployment. That gap explains why the workforce apocalypse has not arrived yet.

Engineering teams spend more on AI tokens than junior salaries. The cost structure of building software has inverted and most finance teams missed it.

50+ AI features, 6 LLMs, native mobile, Stripe billing. Two vertical SaaS platforms built end-to-end to prove how AI changes product delivery.

When AI writes the code, green CI isn't enough. The new discipline is understanding and defending the choices the model made — not just the ones you made.

Zillow, Redfin, and Homes.com have all bolted conversational UI onto their portals. It's an impressive technical feat that completely misunderstands how people want to buy houses.

AI collapses the cost of cross-domain competence. The career advantage belongs to people who stack skills, not the ones who go deeper in a single silo.

The 'never rewrite' doctrine was based on rewrite cost. AI has collapsed that cost to days. Pre-launch rewrites are now a product strategy, not a failure.

Per-seat pricing is dying but the replacement is not simple. A practical framework for AI pricing that covers usage-based, outcome-based, and hybrid models.

Unlimited headcount kills AI adoption. One engineer per project, unlimited tokens, and the constraint to figure it out produces the best AI-native work.