Showing 25–36 of 45 articles tagged AI Product Strategy
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 & 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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Industry & MarketsDeep dive
The Cartel Problem: Why AI Stalls at the Industry Gate
AI's biggest obstacles are not technical. They are structural: professional guilds, regulatory capture, procurement inertia, and incumbents profiting from it.
22 Feb10 min read
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AI Product BuildingDeep dive
Your RAG Pipeline Is a Product Decision, Not an Engineering One
Chunking, retrieval, and grounding are not engineering details. They are product decisions that determine whether your AI feature helps or hallucinates.
21 Feb10 min read
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AI Product Building
Latent Demand Is Your AI Roadmap
The best AI products aren't imagined. They're discovered by watching how people misuse your existing ones. A framework for finding what to build next.
19 Feb9 min read
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AI Strategy & Leadership
Product Discovery Is Dead: Why Prototyping Replaced It
The 6-week discovery sprint is a relic. When you can build a working prototype in a weekend, the fastest path to insight is shipping, not researching.
18 Feb9 min read
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AI Product BuildingDeep dive
The AI Usage Gap Is a Product Architecture Problem
Most AI tools are deployed but unused. The friction isn't capability. AI lives in a separate tab instead of where work happens. Build inline, not destination.
15 Feb11 min read
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