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LESSONS FROM LOVABLE: PRICING FOR AI
Traditional SaaS pricing models weren't built for AI. Costs are unpredictable, value is harder to measure, and the old playbooks don't apply.
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Traditional SaaS pricing models weren't built for AI. Costs are unpredictable, value is harder to measure, and the old playbooks don't apply.
The surge of AI hype and tool obsession is pushing PMs toward quick fixes and away from the fundamentals that matter. Strong product work still depends on clear thinking, strategy, alignment, and deep problem understanding. AI should support those efforts instead of replacing them.
In a new market, technology means nothing until a strong go-to-market motion gives it value. Anchor pricing high, use direct sales, refine your story, and avoid shortcuts that kill your long-term market.
Plans fall apart fast. Planning together gives teams the shared language, decision points, and honest conversations they need to adapt when priorities shift. The teams that ship are the ones that treat planning as a way to build clarity and alignment, not as an attempt to predict the future.
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Year-end planning shapes who gets promoted, invested in, or tapped for new roles. Make sure leaders remember you by creating positive recent touchpoints, sharing a concise highlight reel, and showing gratitude.
This guide matches product ops challenges to the book that will help you solve them. It gives you the fastest path to clarity and momentum when your team is stuck.
People think in different ways. When we learn to bridge concrete and abstract styles, collaboration gets easier and outcomes improve.
Re-check assumptions and re-test ideas when the context shifts.
Directors manage complexity, but VPs shape direction.