AI allows founders to build products so revolutionary that customers' reaction is "What the...? That can't work." This immediate, visceral understanding of value removes friction and the need for traditional "explainer" roles like complex sales teams and lengthy value-selling processes.
SaaS playbooks for sales, marketing, and success were designed for annual product changes. AI-native products iterating every 30 days require a complete organizational rethink, as old go-to-market motions cannot keep pace with the product's rapid evolution.
Traditional 90-day onboarding is useless when your product's value proposition changes up to 12 times a year. The most strategic function is now "everboarding"—continuously re-engaging and re-educating users on new capabilities to drive adoption and prevent churn in a rapidly evolving product environment.
With AI commoditizing the tech stack, traditional technical moats are disappearing. The only sustainable differentiator at the application layer is having a unique insight into a problem and assembling a team that can out-iterate everyone else. Your long-term defensibility becomes customer love built through relentless execution.
The traditional, linear handoff from product (PRDs) to design to dev is too slow for AI's rapid iteration cycles. Leading companies merge these roles into smaller, senior teams where design and product deliver functional prototypes directly to engineering, collapsing the feedback loop and accelerating development.
VCs traditionally advise against early product expansion. But with agentic AI, which leverages existing metadata to solve new problems without building new screens, startups can rapidly add capabilities to meet customer demand for a single, unified agent, accelerating the compound startup model.