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Thinking about AI product leadership, building with AI tools, governance, and the economics of shipping AI in production.
Showing 37–48 of 72 articles
AI Product BuildingDeep dive
The AI Pricing Stack: Usage, Outcome, and Hybrid Models
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.
20 Mar13 min read
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AI Strategy & Leadership
Constraint Is the AI Adoption Strategy Your Org Won't Try
Unlimited headcount kills AI adoption. One engineer per project, unlimited tokens, and the constraint to figure it out produces the best AI-native work.
18 Mar9 min read
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AI Product Building
AI Makes Overbuilding the Default. Discipline Is the Antidote.
Going from zero to end in hours sounds like progress. It's also how you ship a product nobody can navigate. The real skill is knowing when to stop.
17 Mar7 min read
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AI Strategy & LeadershipDeep dive
AI Governance Without Bureaucracy: A Framework That Ships
Most AI governance is either theatre or a bottleneck. A risk-tiered framework built from shipping AI features to AFSL-regulated Tier 1 banks in production.
16 Mar11 min read
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AI Product BuildingDeep dive
AI Didn't Kill Coding. It Killed Typing.
AI coding is the sixth abstraction layer in 80 years. Every previous layer was dismissed as not real programming by the practitioners of the one below.
12 Mar10 min read
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AI Product BuildingDeep dive
How to Measure an AI Product (When Traditional Metrics Lie)
DAU, time-in-app, and NPS were built for a world where humans do the work. AI products need different metrics. A framework for what to measure and why.
9 Mar10 min read
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AI Product Building
The Bitter Lesson Kills Your Orchestration Layer
Scaffolding gives you 10-20% gains that the next model wipes out. The bitter lesson for product builders: give the model tools and a goal, not a workflow.
7 Mar8 min read
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AI Strategy & Leadership
Stop Reading About AI. Start Shipping With It.
The window for AI-enabled builders to capture outsized value is open but narrowing fast. Vertical SaaS is being built by individuals, not large teams.
5 Mar9 min read
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AI Strategy & LeadershipDeep dive
Enterprise AI Adoption Playbook: Why Seats Go Unused
AI features that work in demos fail in deployment because adoption is a product problem, not a training problem. A playbook from rolling out AI to Tier 1 banks.
2 Mar11 min read
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AI Product Building
The Winning Agent Had No Better Model. It Got Shit Done.
Weekend build to 145K GitHub stars to acquisition in weeks. The pattern: agents that execute locally instead of chatting in a browser window win on adoption.
27 Feb9 min read
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AI Product Building
Build for the Model That Doesn't Exist Yet
Your AI product market fit depends on a model that has not shipped yet. Build your product architecture for the capability curve, not today's snapshot.
26 Feb9 min read
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Industry & MarketsDeep dive
Voice Agent Playbook: AI Phone Calls in Production
I built AI voice receptionists that handle real phone calls for real businesses. Latency, conversation flow, graceful handoff. Here's what actually matters.
24 Feb11 min read
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