Ria Florensi: Beyond product manager with AI — discovery in the AI era

This February 2026 article by Ria Florensi, part of a series on AI-augmented product management, focuses specifically on discovery. The argument is that the traditional two-phase model — learn first, build second — no longer describes how the best teams operate. When building a working prototype takes hours instead of weeks, the line between learning and shipping has effectively disappeared.

Florensi describes this as a Cook, Serve, Taste, Adjust cycle: build one small component, observe how it performs, revise the assumption that motivated it, then repeat. The emphasis on “one small component” is deliberate — scoping the experiment to fit within an AI session keeps context sharp and outputs useful. Starting too large produces something that is hard to evaluate and harder to improve.

The article draws a direct line between AI-assisted development speed and the risk of substituting execution for judgment. Because building is faster, teams face more frequent decisions about which assumptions are worth testing at all. Florensi names this “product sense” and breaks it into five components: experimentation speed, judgment quality, pattern recognition, intellectual honesty, and public learning. Of these, judgment — deciding what to build next and why — is the one AI cannot replicate.

Two practical habits emerge from the article. First, document decisions explicitly rather than relying on session continuity: a written record of what was built, why, and what was learned keeps a team coherent across interruptions and context resets. Second, separate execution speed from decision quality — moving fast through a bad hypothesis produces a bad outcome faster, not a good one.

The article is written from experience in fintech product development, but the patterns apply to any team adopting AI-assisted workflows. Most useful for product managers who are already shipping faster with AI but struggling to explain why outcomes have not improved at the same rate.