The Archive · 2013 — Now
Notes from the practice.
Write to figure out what you actually think. The post is the second draft of a thought you had earlier in the day.
561 essays in the archive · 13 languages · 56 categories
What is AI-native media operations?
AI-native media operations is how advertising and marketing teams run the campaign lifecycle — research, planning, activation, reporting, measurement — when AI handles most execution. Here is what makes it different from "we use AI tools," how each stage of the lifecycle changes, and what the human still owns.
Read the analysisAI-Native Media Ops: Strategy Guide
Strategy for AI-native media operations is mostly a sequencing decision: fix the operating model and the research-to-measurement loop before you buy more tools. This guide maps the Strategy lane — what "native" means, why AI on top of old workflows fails, how research and planning change, and whether planners survive — and points to the deeper piece on each question.
I Built an App With Almost No UI. That Was the Point.
The best review of my comedy app came from a table with four friends and a round of drinks — and my first version failed it. So I removed the joke format, then I removed the interface. Here is what a one-gesture app forces, why a 75-second ceiling is a table-length constraint, and the uncomfortable part for anyone whose day job is attention metrics.
The Full Index
Earlier entries
Sort: Newest
AI-Native Media Ops: Execution Guide
No. 05AIAI-Native Media Ops: Agency-Model Guide
No. 06AII Gave My 9-Agent Marketing Platform Away as Open Source
No. 07AIWhat "AI-native" actually means for a marketing team (vs AI-assisted)
No. 08AIThe Parade Problem: why AI on top of old workflows fails
No. 09AIHow much of media work can AI actually do? The 75–80% principle
No. 10AIHow AI changes media research, personas, and data advantage
No. 11AIAI media planning and measurement design
No. 12AIMy AI Bill Went From $200/Month to $45. I Shipped More, Not Less.
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