Product Manager Hub
A lot of software stalls right here—it works on your laptop, but it's not ready for real users or a real team. I help close that gap, fast.
How I help
Hands-on help when you need a product partner who actually builds—whether that's with a full team or just you.
A short call to figure out what's actually stalled—and what shipping looks like. No project too small to talk through.
I embed with you for the engagement—whether that's just you, or product, ops, and engineering. Not a handoff deck that disappears.
Real users, real production—not another demo.
Not sure if it's a fit? Book the call anyway—it's just a conversation.
Explore first
Explore the thinking on your own first—articles, tools, and the library behind the work.
Essays and build notes that turn industry lessons into usable judgment.
Concrete plays for AI strategy, prioritization, and decision work.
Ask grounded product questions—answers rooted in curated PM knowledge.
Bring the same library into Claude Desktop when you work day to day.
Go deeper with the full advisor and growth tools when you are ready.
From the library
What we're collecting and sharing—strategy theory, AI judgment, and notes from building real solutions.
MCP isn't a technical detail—it's a strategic decision about whether your AI product can evolve independently of your model vendor. Here's how to think about it.
Anthropic's internal analytics went from 21% to 95% accuracy with zero model improvement. What that means for where AI moats actually live—and why you're fighting for the wrong layer.
Speed and feature parity are the trap. The moat moves toward embedded domain knowledge and workflow depth before foundation models commodify the gap.
ProductBot
ProductBot answers from curated product leadership knowledge—not generic chat. Ask about strategy, prioritization, AI decisions, or how the hub works.
FAQ
Straight answers about the hub, ProductBot, and how to get help.