CT No.192: Using quality behavioral data for stronger editorial content
Because last week's issue didn't actually send.
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CT No.107 (rerun): Using quality behavioral data for stronger editorial content
This newsletter went out a little late today to give new subscribers from today's What's Next event, presented by the Minnesota Interactive Marketing Association (MIMA), a taste of what we're all about. Welcome, new subscribers! A couple of weeks ago I spoke with Mark...
CT No.191: A seamless and seductive image-narrative system
Great websites still exist. Here's a breakdown of a nonprofit grant-making arts organization's digital home and source of truth.
CT No.190: Website flyover country
A relevant rerun plus a new content strategy assessment we're, uhh, really excited to share
Join me in my media production kitchen
For content creators, it can be a struggle juggling multiple content streams at once. Turns out there’s a lot we can borrow from the restaurant industry to create efficient production pipelines of our own.
CT No. 189: Meal prep strategies for sustaining consistent content
Both tech and media companies need to listen to their audiences.
CT No.242: What's your vector, Victor?
How to understand tokens and vector embeddings, for word people.
CT No.241: TF? ID(GA)F: The old faithfuls of language processing
Even in the face of "black box" algorithms, the history of artificial intelligence—natural language processing, more specifically—has left plenty of clues. While we can't understand the full equation, we can see how building blocks create common patterns in how current algorithms process language.
CT No.240: Mad inconvenient infrastructure
Infrastructure, no matter how solid or planned or continuously improved, gets messy. Observing humanity in July feels like the ultimate UX research experiment.
CT No.239: Please automate the tedious part for me
July is prime chart-making season. July 2025 is one more chartmaking season that will not be powered by artificial intelligence, and here's why.
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