An intake form that stops bad jobs early
The nine required fields that prevent most rework, the default-answer trick that keeps intake fast, and the rule that nothing starts until the form is complete.
9 min read
Running four channels instead of one
A portfolio is termination insurance only when the failure modes are uncorrelated. What four faceless channels can safely share, and what has to stay separate.
9 min read
What junior creatives do in an AI studio
Generation absorbed the tasks juniors learned on, breaking the pipeline that makes seniors. A junior role rebuilt around curation, QC and provenance work.
9 min read
What YouTube counts as mass-produced video
Mass-produced is a two-part test in YouTube's July 2026 wording, and volume is not one of them. A definition you can act on, plus a batch pipeline that passes.
9 min read
When to hire your first AI specialist
The one-specialist-per-five-creatives ratio is a hypothesis, not a benchmark. Four trigger conditions drawn from your own throughput and rework data instead.
9 min read
Why AI did not give your team capacity back
Most creative teams are at or beyond capacity despite adoption, because the constraint moved downstream. A one-week method for locating yours.
9 min read
WIP limits for a generation-heavy studio
Cheap generation invites starting more jobs than anyone can review, so everything lands late together. Setting WIP caps per review stage, and holding them.
9 min read
Asset Naming and Version Discipline for Content Teams
Sloppy naming costs nothing when you're the only one who has to remember what it means. The moment a second person touches the pipeline, it's the bottleneck.
8 min read
Content Ops for Small Marketing Teams
Content ops for small marketing teams: naming conventions, asset libraries, ownership, SLAs, and the failure handling that keeps an AI content pipeline running.
8 min read
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