Tag: AI metrics

Product Management for Generative AI Features: Scoping, MVPs, and Metrics

Managing generative AI features requires a new approach to scoping, MVPs, and metrics. Learn how to avoid common pitfalls, build capability-based tracks, and measure real user impact-not just clicks.

Code Generation with Large Language Models: How Much Time Do You Really Save?

Jan, 30 2026
Calibration and Confidence Metrics for Large Language Model Outputs: How to Tell When an AI Is Really Sure

Aug, 22 2025
Auditing AI Usage: Logs, Prompts, and Output Tracking Requirements

Jan, 18 2026
Optimizing Attention Patterns for Domain-Specific Large Language Models

Oct, 10 2025
Monitoring Bias Drift in Production LLMs: A Practical Guide for 2025

Jun, 26 2025

Tag: AI metrics

Product Management for Generative AI Features: Scoping, MVPs, and Metrics

Recent Post

Code Generation with Large Language Models: How Much Time Do You Really Save?

Calibration and Confidence Metrics for Large Language Model Outputs: How to Tell When an AI Is Really Sure

Auditing AI Usage: Logs, Prompts, and Output Tracking Requirements

Optimizing Attention Patterns for Domain-Specific Large Language Models

Monitoring Bias Drift in Production LLMs: A Practical Guide for 2025

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