Distinguishing fragile AI demos from workflow-entrenched solutions through retention, expansion, and embedment metrics. In 2026, with countless 'GPT wrappers' c
AI product-market-fit validation adapts PMF craft to a market where demos mislead: separating novelty usage from durable retention, measuring workflow embedment, and proving willingness-to-pay against inference costs before scaling spend.
Survival-grade for AI founders and product leads: the market punishes scaled non-fit faster than ever, and operators who read fit signals honestly conserve runway competitors burn.
Novelty inflates early metrics: people try AI for curiosity, producing usage spikes that mimic fit. Truth lives in week-8+ retention, workflow depth, and paid renewal: not signup curves.
Habitual workflow embedment: users who restructure how they work around the product and pay renewal without pressure. Everything else is leading indicator at best.