Insights, updates, and deep dives into AI-native product development and how we’re building the future of PM tools.
AI can summarize evidence and propose options, but some product decisions should remain human-owned. Here are the judgments PMs should never delegate without review.
Practical guides, product frameworks, and Specky updates — sent when it’s worth your time.
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.
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.
94% of PMs use AI daily — but only ~6% for strategy, and 43% of startups still fail on product-market fit. Why AI replaces the busywork, not the judgment.
The cost of building software collapsed — 41% of all code was AI-generated in 2025 — while the cost of knowing what to build didn't move. The data behind the shift.
The average manager spends ~13 hours a week in meetings and ~60% of the day on "work about work." For product managers, only ~27% of the time is left for strategy. Where the week really goes.
Pendo found 80% of software features are rarely or never used and 12% drive 80% of usage. It's rarely a functionality gap — and the 20% that stick share three traits decided before any code is written.
The most-cited cause of startup failure keeps changing, but the root barely moves: ~43% fail on product-market fit. The deadliest version is false PMF — mistaking early curiosity for durable demand.