AI images in marketing: on brand rather than arbitrary
How a fixed image recipe builds a recognisable visual language, and what to settle legally and technically before publishing.
How an instruction has to be worded for results to become usable – and how a single prompt turns into a workflow.
How a fixed image recipe builds a recognisable visual language, and what to settle legally and technically before publishing.
Why choosing the tool is the smallest decision, which four skills actually have to be taught, and what an introduction over twelve weeks looks like.
Why language models produce plausible-sounding false details, which five kinds of detail are most affected, and which measures actually help day to day.
Why lists of adjectives do not work, which six sections a usable style document has, and how a language model can actually use it.
The step from a single request to a repeatable process — the three readiness conditions and the places a human has to stay.
Sorted by the task to be done rather than by vendor — with the properties that matter per working step, and when switching costs time instead of saving it.
Sorted by task, each with an explanation of why it is built that way — plus the four building blocks you can assemble any prompt of your own from.
How Claude and ChatGPT differ in day-to-day marketing work, which system solves which task better, and where each one falls short — with prompts to copy.