Essays on AI product management, shipping machine learning into production, and the decisions that separate a model that works from a product that ships.
14 October 20267 min read
An annotated AI product manager portfolio example: what each section proves to a hiring manager, how to frame case studies, and metrics you can defend.
1 May 20263 min read
The graveyard of AI products is full of things that technically worked. The failure was rarely the model. Here's what kills AI products in their first year.
30 April 20263 min read
Some AI features drive deep retention; others spike on launch and die in a week. The difference isn't the model. It's the product mechanic underneath.
28 April 20262 min read
Most product specs are documents that get written, nodded at, and ignored. Here's a format that engineers actually use — and why the standard template fails.
25 April 20262 min read
A no-fluff list of the tools, frameworks, and workflows that make up my day-to-day as an AI product manager. No affiliate links. No sponsored mentions.
22 April 20262 min read
The titles get used interchangeably. They shouldn't be: the difference shapes how you hire, how you structure teams, and what work you'll actually do.
18 April 20262 min read
A roadmap is not a feature list. Most founders have one anyway. Here's the pattern I've seen in every early-stage startup — and how to fix it.
14 April 20262 min read
When every stakeholder says their request is critical, "urgent" stops meaning anything. Here's how to cut through it without burning relationships.
10 April 20262 min read
I used to write the code. Now I manage the product. Here's what nobody tells you about making that switch — and what you carry with you when you do.
5 April 20262 min read
Everyone claims to want a technical PM. Most teams don't know what that means. Here's the honest breakdown, from someone who crossed over from engineering.
15 March 20262 min read
Engineers ask questions in system design meetings that most PMs never think to ask. Here's what changes when you understand the systems under your product.
10 March 20264 min read
What working on viaPhoton's patented fiber organizer taught me about production ML: the model is the small part, and the system around it is the product.