Long-form articles and guides on applied AI systems for operators, practical agent builds, and the workflows behind shipping real software.
Place AI code review in the loop where it actually helps, and keep the human review doing the design and intent work it is good at — with a concrete placement and a set of failure modes to watch
Stop spending your effort on the cheap side of the trade (more building) and redirect it to the expensive side (distribution, trust, and a wedge) — with a concrete triage rule for when shipping cheap is purely a win (build for yourself) versus when it gets you nothing (shipping a clone into a saturated market)
Stop underfitting your fundraising narrative — translate your real numbers into the investor language pre-seed decks actually require, with a concrete framework and a test you can run before you send the deck
After reading, an operator can (a) tell which of their workflows are 'work-critical' and need a heartbeat, and (b) build their own dead-man's-switch — a second scheduled Make scenario (or healthchecks-style URL) that pings with a 'records processed' payload and alerts on absence or suspiciously low volume — so a silent failure surfaces within hours, not the weeks their customer currently hears about it first