Product strategyFeatured
Aug 14, 20266 min read
The Vibe Coding Stall: Why Your AI-Assisted Code Never Ships
AI-assisted code works in demos. It stalls in production. Here's why the gap exists and how to close it.
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Product Manager Hub
Stuck between demo and done.
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
From stuck to shipped
Hands-on help when you need a product partner who actually builds—whether that's with a full team or just you.
I scope it
A short call to figure out what's actually stalled—and what shipping looks like. No project too small to talk through.
I build it with you
I embed with you for the engagement—whether that's just you, or product, ops, and engineering. Not a handoff deck that disappears.
It ships
Real users, real production—not another demo.
Book a scoping call
Not sure if it's a fit? Book the call anyway—it's just a conversation.
Explore first
Not ready to talk yet?
Explore the thinking on your own first—articles, tools, and the library behind the work.
Articles
Essays and build notes that turn industry lessons into usable judgment.
Use cases
Concrete plays for AI strategy, prioritization, and decision work.
ProductBot
Ask grounded product questions—answers rooted in curated PM knowledge.
MCP for Claude
Bring the same library into Claude Desktop when you work day to day.
Pro
Go deeper with the full advisor and growth tools when you are ready.
From the library
Latest writing
What we're collecting and sharing—strategy theory, AI judgment, and notes from building real solutions.
Aug 9, 202610 min read
MCP for Product Managers: The Hidden Leverage Point in Your AI Architecture
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.
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Jul 5, 20268 min read
Stop White-Knuckling 'Understanding' — It Was Never Yours to Hold Onto
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.
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Ask the library
ProductBot answers from curated product leadership knowledge—not generic chat. Ask about strategy, prioritization, AI decisions, or how the hub works.
FAQ
Common questions
Straight answers about the hub, ProductBot, and how to get help.
- What is Product Manager Hub?
- Product Manager Hub is a product leadership knowledge hub built by Anthony Ludwig. He collects frameworks, failure patterns, and decision criteria from real product work, then shares them through essays, ProductBot, a knowledge base, MCP for Claude, Pro tools, and advisory.
- What is ProductBot?
- ProductBot is the public guide on productmanagerhub.io. It answers product strategy and hub questions using curated product leadership knowledge—not generic chat. For deeper coaching and the full advisor, explore Pro or start an advisory conversation with Anthony.
- How is this different from ChatGPT or Claude alone?
- General models draw on broad public text. Product Manager Hub focuses on curated product leadership knowledge—frameworks, criteria, and patterns meant for PM decisions—available on the site, in ProductBot, and via MCP in Claude Desktop.
- Who is Product Manager Hub for?
- Product leaders, founders, and ambitious PMs who need clearer AI-era strategy, prioritization, and decision quality—whether they want to read, ask ProductBot, connect MCP, use Pro, or work with Anthony directly.
- Who built Product Manager Hub?
- Anthony Ludwig (Tony) builds Product Manager Hub himself—writing, ProductBot, the knowledge stack, MCP, and client tools. Learn more and connect on the About page.
- How do I get started?
- Start with Ask ProductBot on the homepage, browse Articles, read Getting started, connect MCP for Claude, try Pro, visit About to connect, or email ludwigad@productmanagerhub.io.