
The Eval That Never Finishes
Why confidence, not capability, is what deep AI products compete on. A first-person look at two-sided drift, rented models, and the measurement you actually own.
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Product Manager Hub
I started this so product managers who ship with AI can learn the work together. Stories, essays, and tools on this site are what we share.
The community
Playbooks, peers, and a classroom. I keep the stories and tools free on the site. The community is where we use them together.
Sequenced plays from my own builds. Members use them and add what they tried.
Peers who ship with AI. We compare what landed and what stalled.
A checklist and classroom space so the steps stay with the work.
Hands-on help on one product is a later step. Book a scoping call.
Go-to-market
Pricing, channels, and first users. Lessons from products I shipped, including the stretch between demo and done.
mvp → shipped
Local-first invoicing and time tracking for freelancers—no cloud account required.
Put the paywall after users hit real problems—not before they've finished the core workflow.
Channel: Reddit niche communities (comments beat launch posts)
Read the storymvp → traction
A calm pendulum clock for iPhone—desk presence, widgets, StandBy Mode.
A niche, well-designed product can find paying users across borders—even when building alone feels like shouting into the void.
Channel: Organic discovery (solo launch)
Read the storyThe shared practice
Stories, essays, ProductBot, and the tools stay free on this site. I put them here from my own builds. The community is where we work on them together.
Peers, playbooks, and a classroom. I host the room on Skool.
Free diagnostics for a launch stall or an AI guess. On the site, and in Claude.
Pricing, channels, and first users. Lessons from products I have shipped.
Essays and build notes. I write them so a lesson is usable the next time.
Ask about a ship story, a tool, or how the community works.
The same library, inside Claude Desktop.
Plays for AI strategy, prioritization, and product decisions.
From the library
Essays from my own builds—strategy, AI judgment, and notes from shipping.

Why confidence, not capability, is what deep AI products compete on. A first-person look at two-sided drift, rented models, and the measurement you actually own.
Read article
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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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.
Read articleProductBot
ProductBot answers from the ship stories and the library. Deeper playbooks live in the community, and the same library is in Claude.
Ask about product strategy, frameworks we share, or how Product Manager Hub can help.
Ready to go deeper? Join the community for playbooks and peers—or ask more here within the daily sampler.
FAQ
Straight answers about the community, ProductBot, and the library.