Notes from the machine. What it did, and why.
Short, honest write-ups from the execution logs. No stock photos, no fluff.
-
What Google Ads automation looks like when it runs a real account
One stretch of real work: 112,516 search terms read, 9,204 blocked, 714 keywords that now drive 64% of sales. Written from the logs, not the brochure.
-
Why blue artwork outsold everything in one account
A real Bayes reading: one color trait, 18 distinct images, 99.4% confidence. What it means and what the system did about it.
-
The ads that watch the forecast
Rain crossed 55% for three cities. The ads were created, scheduled and set to retire, all before anyone woke up.
-
You do not start advertising on ChatGPT from zero
First real numbers from advertising on ChatGPT: contexts carried from top Google Ads keywords converted 2.1× above the channel baseline, and ROAS rose 1.8×.
-
Inside the engine·Aug 20, 2026·2 minThe system that says no 17 times for every yes
418,306 logged decisions for 24,356 actions. Why refusing is the hardest feature we ever shipped.
-
Most Meta Ads automation is a nervous pause button
Our system evaluated 4,415 Meta ads and paused only 5. Patience, judged against each campaign's objective, beats trigger-happy pause rules.
-
The point of AI-generated ad creatives is accountability
AI-generated ad creatives that record their own traits at creation: blue converted at 1.36×, a face lifted 1.3×, and the images beat the client's by 36%.
-
112,516 search terms later: automated negative keywords that actually work
Our system judged 112,516 search terms one by one and blocked 9,204 that spent money without selling. What automated negative keywords look like done right.
-
The forecast is the brief: weather-based advertising that launches before the rain does
Weather-based advertising, done properly, is forward-looking: 7 weather types, 10 days ahead, hour by hour, with ads that retire themselves after the rain.
-
Why our AI-written search ads don't sound like anyone else's
In one overnight run, 1,454 AI-written search ads went live, built from each account's own converting language. Here is why they don't sound generic.
-
The hard part of automated A/B testing for ads is finishing the test
Humans start ad tests and abandon them. Our system designed, scheduled and read 15 A/B experiments to the end, every verdict shipped with its likely range.
-
When to pause an ad (and when to bring it back)
Our system paused 2,340 weak ads and brought 875 back when the auction shifted in their favor. A pause is a decision about a moment, not a sentence.
-
Inside the engine·Jul 22, 2026·6 min
How we build statistical confidence in ad decisions without a single formula
Most dashboards report luck with a straight face. Inside the three cuts a reading must survive before it moves budget, and why the refusals get written down.
- nothing found