Why we lay our content out
as a matrix
Most AI content sites sort by tool: a column for images, one for video, one for writing. The problem with that split is that it assumes everyone working on the same axis needs the same thing.
In practice, someone just starting to try image generation and someone already managing asset libraries for three hundred SKUs have exactly one thing in common: both are making pictures.
So we added a second axis: how far along you are. Seven axes times four stages gives twenty-eight cells, and each cell is one concrete class of problem.
How we run our benchmarks
Every comparison is based on the same sketch, the same voice-over script, the same repository. Scores from different tasks are not comparable.
We record the moments where it made things worse, too. A benchmark that only reports good news is worth nothing.
Every conclusion states which stage it applies to. “Worth using” has a different answer at different stages.