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AI for Design

File Organization

The archaeology is the cost. Six months after a project ships, the client asks for the logo in one more format, and you spend forty minutes inside a folder containing logo_final, logo_FINAL_v2, logo_final_USE_THIS, and an export from a machine you no longer own. Nobody was careless. It is just that naming a file correctly at 2am, mid-flow, has never once felt more important than finishing the thing.

Skynet handles the part that requires discipline rather than skill. It learns your structure — how projects are foldered, how versions are named, what belongs in the delivery folder versus the working folder — then audits the real state of things against it and proposes fixes. It proposes; you approve. Your files never move because an agent got confident.

How it works

step 01

Describe the structure you meant to have

Tell Skynet your convention once, or point it at a project you did organize properly and let it infer the pattern. That becomes the standard it measures against.

step 02

Audit what is actually there

The agent walks your project folders and reports the gap: files off-convention, duplicate versions, orphaned exports, assets sitting in the wrong place. You get a list, not a surprise.

step 03

Approve the cleanup

It proposes renames and moves as a batch. You scan it, strike the ones that are wrong, and approve the rest. Anything ambiguous gets asked about rather than assumed.

step 04

Keep it clean going forward

Run it on a schedule at project milestones. Small drift gets caught weekly instead of becoming an excavation the next time a client comes back.

Build it from a prompt

Set the convention, then let it audit.

The payoff is not tidiness for its own sake. It is that six months from now, the request for one more format takes two minutes, and a new person joining the project can find things without asking you.

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