🤖 AI Product Manager
Get ahead of the curve with resources tailored for PMs working with AI products. Find deep dives on translating AI concepts for non-technical audiences, ethical design choices, technical implementation, and shaping your career for an AI-first world.
What you’ll find here
The AI Dictionary Every Non-Technical Person Needs
The Best AI tools to build a website or a complete functional MVP
How I built an app with AI in a weekend with Lovable.ai
All-in-one AI Terminology For Non-Technical People
A great way to make AI and software concepts accessible is to build a leveled glossary that starts with core ideas and gradually introduces more technical terms. Below is a ready-to-use, layered glossary organized from beginner to expert level, with concise, kid-friendly definitions and clear distinctions (such as LLM tokens vs. API tokens). Enjoy 😉
I Built My Own App With AI, Here Is What I Learned
Honestly, I've been kicking around AI content for months now, reading about tools, bookmarking articles. Then I had one of those moments.
How To Jump Into The Rapidly AI Prototyping Era
Imagine having a product idea but lacking the technical skills to bring it to life. Just a few years ago, you'd be stuck in a frustrating loop: explaining your vision to developers, waiting several weeks for a prototype, only to discover it wasn't quite what you imagined.
8 Terrific Ways AI Can Rescue Product Leaders From Burnout
🚨 This is not a sponsored post by any of the tools mentioned.
The Dark Side Of AI Prototyping: Technical Debt
Here’s the uncomfortable truth:
Teams using these tools without guardrails see 3x more production delays and a higher refactoring costs than those taking a disciplined approach. From IBM’s findings:
Technical debt causes longer debugging cycles and delayed feature delivery.
Teams spend 40% more on cloud costs due to inefficient architectures.
How To Help Your Team Overcome AI Resistance And Embrace Change
I've seen companies and product managers announce shiny new AI platforms to rooms full of skeptical developers, QA engineers, and designers. They talk about efficiency gains and competitive advantages, but they miss the most important ingredient: the human spark that turns resistance into enthusiasm.