Notes on the AI transition,
from people who’ve lived three of them.
Competitor comparisons. Role-specific playbooks. Governance frameworks. Tool reviews. Field-tested how-tos. Written by the LeadAI editorial team for the people who actually ship AI-touching work — BAs, PMs, Scrum Masters, POs, Release Managers, Product Managers and Engineering Managers.
When Your IC Says AI Made Them 3× Faster: An EM's Guide to Reading the Real Signal
Copilot, Cursor and Devin claims are flooding 1:1s. The job is to separate the productivity win from the technical-debt fire — four EM frameworks that actually work.
Writing Acceptance Criteria for AI Features: A Product Owner Field Guide
Traditional acceptance criteria are no longer sufficient for AI-driven features. Learn the 5 patterns Product Owners need to ensure probabilistic models meet requirements.
Beyond the Velocity Mirage: 5 Retro Patterns for Scrum Masters in AI-Augmented Teams
As AI tooling boosts velocity, Scrum Masters must confront the hidden costs. Five retro patterns to surface the real impact on team dynamics and quality.
Leading AI Projects as a Non-Technical PM: A Practical Playbook
Learn how to bridge the gap between data scientists and the C-suite when shipping AI models, not features. Get a practical playbook for 2026.
7 Skills Business Analysts Must Master in the AI Era
Discover how business analysts can thrive in a world where AI can draft a BRD in 60 seconds, by focusing on high-value skills that complement AI capabilities