My Blog

A practitioner's playbook on PLG for AI products — cold start problem, aha moment engineering, onboarding design, team-led growth, PLG metrics, and a 12-week readiness audit.23 min read

A practitioner's GTM playbook for AI SaaS founders — ICP definition, positioning, pricing model selection, sales motion, and a 90-day sprint framework.24 min read

A founder's guide to AI product pricing strategy — usage-based models, cost structure, unit economics, tiering, and how to stop under-pricing your AI.23 min read

A practitioner's framework for positioning AI products — the 4 traps to avoid, April Dunford applied to AI, messaging hierarchy, and how to test and iterate.23 min read

Traditional SaaS metrics miss most of what makes an AI product healthy. Here's the complete 3-tier metrics stack for AI products, with benchmarks by stage.23 min read

A founder's playbook for running an AI product beta — recruiting the right users, validating output quality, and converting beta users to paying customers.23 min read

Traditional PMF signals mislead AI founders. Here's how to read retention, habit, and workflow fit signals specific to AI products — and a 12-week diagnostic.23 min read

How AI startups accumulate—and systematically repay—technical debt: model versioning, prompt debt, data pipelines, eval debt, triage frameworks, and the 20% rule.23 min read

A practitioner's framework for measuring PMF using Sean Ellis scores, retention curves, qualitative signals, and the 5 PMF archetypes — with benchmarks.23 min read

The 5 AI product monetization paths — usage-based, seat-based, outcome-based, hybrid, and API licensing — with conversion trigger design and funnel benchmarks.23 min read

50+ customer interview questions by type and goal, with the JTBD framework, Mom Test rules, synthesis process, and opportunity scoring method.23 min read