Sponsored
Monetizing AI is tricky. Monetizing agents? Somehow, even trickier. In this Metronome webinar [4], SaaS pricing expert Kyle Poyar and CEO Scott Woody will explain:
Parse notes
Sponsored
Monetizing AI is tricky. Monetizing agents? Somehow, even trickier. In this Metronome webinar [4], SaaS pricing expert Kyle Poyar and CEO Scott Woody will explain:
These metrics reveal whether customers are building a habit or quietly preparing to churn.
Product work in Europe can be slowed by process, consensus, and risk avoidance. The PMs who stand out are the ones who simplify, make evidence-based decisions, and create progress where others wait for permission.
AI lock-in is an architecture problem, not just a vendor problem. The best teams will move fast while preserving portability across models, data, evaluation, and deployment.
AI coding tools are only as effective as the organization around them. Strong engineering foundations turn AI into leverage, while weak systems turn it into more chaos.
Validate demand before scaling. A lightweight system of ads, analytics, A/B tests, and feedback loops can turn a small budget into real signal from strangers.
AI-era design requires working inside the product, not around it. The best designers will ship code, use real data, and improve the experience through small, fast changes instead of waiting for perfect plans or consensus.
AI adoption is becoming a divide between builders and spectators. Winning companies will go beyond prompts by rebuilding workflows, systems, and org structures around what AI makes possible.
AI moats may come less from memory and more from customization.
Do not price software based on how hard it was to build.