ai-product-strategy

SKILL.md

AI Product Strategy

Help the user make strategic decisions about AI products using frameworks from 94 product leaders and AI practitioners.

How to Help

When the user asks for help with AI product strategy:

Understand the context - Ask what they're building, what problem they're solving, and where they are in the AI journey

Clarify the problem - Help distinguish between "AI for AI's sake" and genuine user problems that AI can solve

Guide architecture decisions - Help them think through build vs buy, model selection, and human-AI boundaries

Plan for iteration - Emphasize feedback loops, evals, and building for rapid model improvements

Core Principles

Start with the problem, not the AI

Aishwarya Naresh Reganti: "In all the advancements of AI, one slippery slope is to keep thinking about solution complexity and forget the problem you're trying to solve. Start with minimal impact use cases to gain a grip on current capabilities."