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.
npx skills add RefoundAI/lenny-skills --skill ai-product-strategy --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 ### Account for squishy outputs Alex Komoroske: "LLMs allow writing shitty software to be significantly cheaper, not necessarily good software, but good enough in certain contexts. And also it means that there's certain software now that isn't plain old computing that can be run cheaply. It's relatively expensive marginal cost." Design product experiences that
- How to Help
- Core Principles
- Account for squishy outputs
- Treat products as living organisms
- Find defensibility in verticalization
- Incubate specific superpowers
- Build for the model's future
- Adopt a graduated approach to autonomy
- Templates & Frameworks
- Questions to Help Users
- Common Mistakes to Flag
- Deep Dive
- Related Skills
What does the ai-product-strategy skill do?
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.
How do I install it?
Run `npx skills add RefoundAI/lenny-skills --skill ai-product-strategy --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From RefoundAI/lenny-skills, a repository with 1,215 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.