How to Use AI for Release Admin and Metadata

The boring half of a release

The core idea in this cluster is human for the art, AI for the ops. Release admin is the clearest example of that split. Once the music is finished, there’s a wall of paperwork between you and a live release: metadata fields, credit lines, ISRC codes, genre selections, distribution requirements, timelines that have to work back from a release date. None of it is creative. All of it is time-consuming, and all of it has consequences when it’s wrong.

That’s exactly the profile of work AI handles well. It can read a list of requirements, compare it against what you have, identify the gaps, and organize a plan. It can draft fields you’d otherwise type from scratch. It can turn a voice note of scattered thoughts about a release into a formatted checklist with deadlines. None of that replaces your judgment, but it replaces the part that was just repetitive.

What Vee can do inside your draft release

Vee, the assistant built into Velveteen, is the version of this that works on your real catalog instead of a general conversation. When you have a draft release open, you can ask Vee to fill in a field, explain what a field means, suggest a value, check whether the release is ready to submit, or go ahead and submit it. It’s reading your real draft as it stands, so when it flags a missing audio file or an empty genre field it knows what’s genuinely missing.

The actions it can take on a release: create a new draft, update fields on an existing release or track, set the artist, set the label, set artwork, link a track to a release, check readiness, and submit for distribution. Each of those requires your approval before it happens. Vee proposes; you confirm.

It can also create a pitch on a release, which is a different task but one that often happens in the same window as finalizing a release. That side of the workflow is covered in writing your Spotify pitch with AI.

Drafting metadata fields with AI

For artists releasing through any distributor, metadata drafting is one of the first useful things to hand off. A general AI assistant or Vee can draft the fields you’d otherwise fill in by hand: primary and featured artist names, genre, subgenre, mood, language, explicit content flag, and the written description fields some distributors include.

To get a useful draft, be specific about the inputs. “I make indie folk with fingerpicked guitar and reverbed vocals, influences are Phoebe Bridgers and early Iron & Wine, this track is about a specific place I grew up” gives the model enough to suggest genre and mood fields with actual precision. “Write my metadata” gets you something generic enough to be wrong.

The output is a draft. For credits specifically, you need real information: the legal name of every songwriter, the correct IPI numbers if you’re registering with a PRO, the split percentages from whatever agreement you have with collaborators. AI can suggest the format; it cannot know the content. For the full picture of what metadata fields mean and why each one matters, the release metadata guide covers the field-by-field breakdown without shortcuts.

Turning a brain-dump into a release plan

The release checklist task is one I actually use. You have a release date, some things done, some things not, and a rough sense of what needs to happen in between. That’s the kind of messy input AI handles well: give it the date, the release type, and an honest account of what’s complete and what isn’t, and ask it to produce a backwards timeline with deadlines.

A useful prompt for this: “I have a single releasing in four weeks. Mastering is done. Artwork is 80% ready. I haven’t pitched Spotify editorial yet, haven’t set up a pre-save, and haven’t submitted to my distributor. Build me a week-by-week checklist working back from the release date.” The result is a draft. Add the tasks it missed, and check that the distributor lead time it assumes matches your distributor’s requirements, because those vary.

Where Vee fits in this: for the release-readiness check inside Velveteen, Vee can tell you exactly which fields are missing and what needs to happen before submission. That’s a more precise version of the checklist task, because it’s reading your actual draft rather than estimating from a description.

check your release metadata before it reaches a distributor with the free metadata checker →

What AI can't know about your release

For all the fields AI can draft, there are fields that require real paperwork only you have. ISRCs come from your distributor or from a registration body and are assigned to specific recordings. If AI suggests one, it’s making it up. Same for UPC codes, IPI numbers, mechanical rights details, or any split percentage that should match a written agreement between collaborators.

The audio file technical requirements are another one. Whether your WAV is at the correct sample rate and bit depth, whether the loudness normalization is right, whether the file passes your distributor’s validation: AI can tell you what the requirements typically are. It cannot inspect your actual file. That check is either manual or handled by a tool that reads the file directly.

The practical rule: use AI to draft and organize, use the metadata checker to catch technical gaps, and verify every field that has a real-world counterpart against the actual source, whether that’s a split agreement, an ISRC registration confirmation, or a distributor spec sheet.

A practical workflow from draft to submitted

This is how the tools fit together for a release going through Velveteen. Start a draft release and use Vee to fill in the fields you know: the primary artist, the track title, the basics. Ask it to explain any field you’re not sure about. For genre and mood, give it a description of the sound and let it suggest, then evaluate whether the suggestion is accurate to how you sound rather than how you wish you sounded.

For credits, fill those in yourself from whatever paperwork you have. If there’s a co-writer or producer involved, that agreement needs to exist before you submit, and the values in the metadata need to match it. Vee can draft the format of a credit line, but the names, roles, and percentages come from you.

When the fields look complete, ask Vee to run a readiness check. It will tell you exactly what’s missing. Fix those, then approve the submission. The whole loop, from draft to submitted, can happen in a single Vee conversation, with you making every final call along the way.

run your metadata through the checker before you submit →