Insights, updates, and deep dives into AI-native product development and how we’re building the future of PM tools.
Shipping AI features without evals is how 95% of pilots fail. Here is how product managers define "good" for probabilistic features — and ship with evidence instead of hope.
Practical guides, product frameworks, and Specky updates — sent when it’s worth your time.
Vibe coding makes a prototype free. Turning it into a fundable product takes the product thinking the prompt left out: the problem, the user, the edge cases.
A technical spec is a thinking tool, not a formality. Here is how to write one that engineers actually read, focused on the risky decisions instead of completeness.
Signups are vanity; activation is survival. Find your aha moment, run the activation loop, and connect signals to decisions so the work compounds.
A product strategy that does not fit on one page is not guiding decisions. The strategy canvas distills diagnosis, bet, and tradeoffs into something a team can actually remember.
As product teams scale, decision velocity drops because informal coordination breaks. The fix is a product operating model and connected context, not more headcount.
AI now does the PM grunt work, promoting technical PMs from executor to orchestrator. The AI-native loop, where it wins, and why connected data is the prerequisite.
Every roadmap is a stack of untested assumptions. Assumption mapping surfaces the load-bearing, unproven bets and tells you what to test first, before you waste a quarter.
A pre-mortem assumes your launch already failed and asks why, surfacing the risks confident planning meetings miss. Here is how to run one and turn it into a living risk radar.