— Door 04 · Capacity, honestly shown
One specialist. A studio's output.
The honest pitch: AI handles the routine half — resizing into every format, generating variants, tagging metadata, renaming and filing — so the human half (brand taste, guideline adherence, catching the placeholder text, final quality) gets all of me. The panel below is an illustrative concept, not live data.
- Resize one asset into every required formatscaled
- Generate first-pass variants to choose fromdrafted
- Tag metadata against the annotation schematagged
- Apply naming convention & file the assetfiled
- Flag low-confidence / odd text for reviewflagged
- Does it actually look on-brand?human
- Catch placeholder / gibberish texthuman
- Follow the guidelines exactlyhuman
- Taste, hierarchy & final polishhuman
- Sign off before it joins the sethuman
Workstream
End-to-end
create → document → file
Real designs built
3
live in Door 02
Quality bar
4 gates
all pass/fail
Placeholder text shipped
0
the only acceptable number
Asset workflow feed · illustrative
"The poster came back with AI placeholder text ('Blixel Squad System'). I opened the editing session, read every layer and replaced it with clean copy before it shipped."
"Variant 3 drifted off the palette — held it back and corrected the gradient to the brand violet/cyan before filing."
"Three assets resized, tagged with metadata and named to convention — ready for your sign-off and the training set."
How the engagement runs
A line I won't blur
AI accelerates resizing, variant generation, tagging and filing. It never decides what's on-brand, it never ships unchecked text, and it never replaces taste or guideline judgement. Every asset that joins the set is reviewed and signed off by a human — me. This dashboard is a concept to show the workflow, not a live system.