Insights, updates, and deep dives into AI-native product development and how we’re building the future of PM tools.
Most "AI features" shipped in 2026 are rules engines wearing an AI costume. Here's the four-question test to run before you spec one — and what it looks like when a feature fails all four.
Practical guides, product frameworks, and Specky updates — sent when it’s worth your time.
AI collapsed the time it takes to build a feature, but not the time it takes to decide what to build or validate that it worked. The Three Clocks framework shows product teams where their real bottleneck moved — and how to stop mistaking build speed for progress.
Software is quietly picking up a second audience — AI agents acting on a human's behalf. Here's a framework for auditing whether your product actually works for both.
The most dangerous moment in a PM's career isn't running out of ideas — it's the first month in a new role, when they have too many. Here's the 30-60-90 framework for building credibility before you change anything.
AI has collapsed delivery time. The bottleneck is now discovery. Dual-track agile is the methodology that fixes the sequencing problem most product teams don't know they have.
Most product teams spend 20% of their time on the problem and 80% on the solution. The best invert this ratio — and ship fewer things that work better.
Most PMs say yes when they should say no — not because they lack opinions, but because they lack organised evidence. Here's the four-part framework for declining feature requests in a way that builds trust instead of burning it.
Product intuition isn't a gut feeling — it's calibrated judgment. Here's the three-level evidence framework senior PMs use to make confident calls when the data is incomplete.
Every product team makes hundreds of decisions per quarter. Most disappear into Slack. Here is the five-field decision log that makes every product choice visible, searchable, and accountable — and the habit that keeps it alive.