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ai-product-strategy

Help users decide where to apply AI effectively, manage the transition from deterministic to probabilistic software, and build long-term defensibility through verticalization and proprietary data.

skills/ai-product-strategy/SKILL.md

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# AI Product Strategy

Prioritize high-impact workflows and navigate non-deterministic development to build defensible AI products.

Help the user with ai product strategy using insights from 26 guests and posts across Lenny's Podcast and Newsletter.

## How to Help

1. **Define the wedge** - Identify high-friction chores where AI can provide a disproportionate payoff for the user.
2. **Select the architecture** - Choose between retrieval-augmented generation (RAG) and fine-tuning based on the need for live data vs. specific behavior.
3. **Scale agency safely** - Design a graduated approach to autonomy that keeps humans in the loop before moving to full automation.
4. **Build for the curve** - Align product roadmaps with future model capabilities rather than building complex scaffolding for today's limitations.

## Core Principles