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ai-product-management

6 articles tagged “ai-product-management”.

Abstract illustration of a single row duplicating into a long stack of near-identical rows
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Incremental by Accident

We ran a streaming algorithm over data that never streamed anywhere. Our issues page said forty problems where there was one — and the fix was a 2014 clustering theorem.

Daniel Brodsky9 min read
Agentic AI Observability: Why Sampling Fails AI Agents
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Agentic AI Observability: Why Sampling Fails AI Agents

Traditional APM sampling fails for probabilistic AI. Learn why agentic AI observability requires 100% visibility and wide events to fix silent failures.

Itamar Kramer10 min read
Conversational AI vs Search Bar: Building the Future of Retail
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Conversational AI vs Search Bar: Building the Future of Retail

Amazon is replacing search bars with conversational AI. Learn what this format shift means for AI builders and how to measure conversational agent success.

Elad Sadon8 min read
AI Product Management: Fixing Silent Model Degradation
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AI Product Management: Fixing Silent Model Degradation

Stop AI model drift. Learn why AI product management requires continuous evaluation of probabilistic systems to prevent silent failure and user churn.

Daniel Shapira8 min read
AI Agent Analytics: Why Traditional SaaS Metrics Fail
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AI Agent Analytics: Why Traditional SaaS Metrics Fail

Stop slicing AI agent data by industry or ARR. Learn how intent-based AI agent analytics surface real product gaps and improve agentic workflow performance.

Daniel Shapira8 min read
LLM as a Judge: Why Eval Scores Fail Your AI Roadmap
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LLM as a Judge: Why Eval Scores Fail Your AI Roadmap

LLM as a judge is great for regression testing but terrible for discovery. Learn why high eval scores hide flat retention and how to surface real user intent.

Dennis Zagiansky8 min read