Think about the relationships that matter most to you and treat them like they are part of your happiness infrastructure. Protect dinner where phones stay facedown. Call the person who steadies your nervous system instead of refreshing your inbox when stress spikes. Work will fill your calendar. But your humans will keep you upright.More
Yearly Archives: 2026
205: The daily infrastructure behind sustainable careers (50 Operators share the systems that keep them happy, part 1)
Last year, I spoke with 50 people working in martech and operations about how they stay happy under pressure. Today we start with part 1: stability through routines, boundaries, and systems that protect the body and mind.More
204: Phyllis Fang: Trust infrastructure and freakish curiosity as career growth levers
Phyllis learned how fragile marketing becomes when systems move faster than trust while working between lifecycle execution and product marketing at Uber. Safety work around emergencies, verification, and COVID forced messages to withstand scrutiny from riders, drivers, regulators, and the public.More
203: Jordan Resnick: How to distinguish fake traffic from real machine customers
Distinguishing fake traffic from real machine customers requires reading behavior. Jordan shows how AI-driven bots now scroll, click, and submit forms while inflating dashboards with activity that never converts. The signal lives in speed, sequencing, and follow-through. Teams that act protect the conversion point, block synthetic demand early, and report only after traffic earns trust.More
202: Aleyda Solís: AI search crawlability and why your site’s technical foundations decide your visibility
AI search is rewriting how people find information, and Aleyda explains the shift with clear, practical detail. She has seen AI crawlers blocked without anyone noticing, JavaScript hiding full sections of sites, and brands interpreting results that were never based on complete data.More
201: Scott Brinker: If he reset his career today, where would he focus?
Scott Brinker would build one deep specialty to judge AI’s confident mistakes, grow cross-functional range to bridge marketing and engineering, and lean into technical skills like SQL and APIs to turn ideas into working systems. More