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AI-Native PM

About

Why this site exists

Building software used to mean knowing how to code, or having the money to pay someone who did. If you had neither, the tool you needed never got built. That is changing. Building with AI is a real, learnable skill, and it puts working software within reach of people who were shut out of it. With a clear problem and some persistence, you can build the thing you need yourself.

This site is a free resource to help you get there.

There is no paywall, no account, no ads, and nothing we are trying to sell you.

Our Privacy and Terms spell out exactly what that means. We collect almost nothing, and we never sell or share it.

We start from the fundamentals

We start from the fundamentals and build up, so you understand why things work, not just which buttons to press. It goes deep, which is not for everyone. But you can read a whole track to learn a subject properly, or just look up the one thing you are stuck on.

We built it the way we teach

We practice what we teach. The thinking, the judgment, and the standard are ours, and we built the site with Claude as a collaborator, the same way we show you to work with AI: to help us think, draft, design, build, and check our own work. We are learning from the building too, and what we learn goes back into what you read here. We are also honest that, in part, this is how we build something of our own, a brand with our names on it. You can see how it was built, by the numbers.

Resolving scattered AI learnings into something reliableOn the left, a loose field of scattered muted dots stands for probabilistic material. Two soft arcs of attention sweep across it, one in clay for Shivali and one in sage for Girish, and converge on the right, where the dots resolve into a clean, evenly aligned column that stands for the reliable product.PROBABILISTICRELIABLEresolving scattered AI learnings
Scattered, half-formed AI learnings are everywhere. What this site tries to do is work them into something reliable enough to build on.

Using this material

The lessons, essays, diagrams, and other material on this site are our work. You are welcome to read it, share it, link to it, and reference it in your own work; if you reuse a substantial passage or a diagram, credit AI-Native Product Management and link back. If you want to use substantial parts of it in a commercial product or paid course, ask us first.

Field Notes, and an open door

We keep Field Notes on what we learn as we build, and we add to them often. If you are building too and have something to share, reach out on LinkedIn. We would rather build this with other people than keep it to ourselves.

The builders

Hi. We’re Shivali and Girish Manghani.

Before any title, we are builders, AI-native and early to it, and genuinely curious about how the work we have spent our careers on changes as AI reaches into every part of how products get made.

Shivali

Director of Strategy and Growth, Cloudleap

A technology leader who works across the whole of a business, from sales and growth to product implementations and AI Strategy, with AI a core part of the products and processes rather than a tool bolted on the side.

Girish

VP of Product, Fidelity Investments

A product leader who builds mobile products in financial services and owns the business outcome end to end, with a path that runs through product, engineering, design, research, and finance.

These are our own views. We build this in our personal time, and nothing here represents our employers or is affiliated with, endorsed by, or written on behalf of them.

Glad you are here.