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Agentic music OS

Your music business.On autopilot.

Artist context, release planning, storefronts, fan capture, and roster intelligence — the music software I built around Aria and MCP.

app.patchline.ai/artists
Patchline artist intelligence: search, track, and read artists in one workspace
MCP

One music context. Connected assistants.

Artist information, project context, and scoped tools shared between a product interface and AI assistants.

// Integration engineering

From a question to an approved action.

The integration work explored release preparation, preflight checks, payload review, and explicit approval. A distributor connection belongs to the client’s own account and is scoped separately.

ContextValidateReviewApprove

Review first

Your approval

Check the context, permissions, and proposed action before anything consequential runs.

Client-owned tools

Your accounts

Connected tools and platform accounts stay with the person or team using them.

Shared context

Structured artist and project information gives the assistant something concrete to work with.

Explicit permissions

The interface separates proposed work from the actions a user chooses to approve.

A scoped connection

A custom automation names its tools, output, review steps, and acceptance checks.

// Aria works in your AI tools

ClaudeChatGPTGeminiCursorGrok

// One brain for your music stack

Patchline connects the places where artist, label, and management work already happens.

  • Spotify
  • Apple Music
  • Instagram
  • YouTube
  • Google Drive
  • Notion
  • ClickUp
  • Stripe

// Release content kit

Every drop comes with a release kit.

Upload one track and Patchline generates the promo videos, platform captions, and a launch calendar, all attached to your drop page and storefront. It is the content that sells the release.

Upload trackGenerate kitLaunch drop
01Plan
app.patchline.ai/campaign
The Patchline campaign planner timeline and launch checklist

Plan the release

Timeline, checklist, and assets in one campaign workspace built from the track.

02Drop
music.patchline.ai/algoryx
A Patchline drop page with countdown and fan email capture

Launch the drop

A shareable drop page with a countdown and fan email capture, ready before release day.

03Sell
music.patchline.ai/vibelab1150hz
A Patchline storefront with players, live signals, and direct checkout

Sell direct

A Stripe-powered checkout interface on an artist’s own storefront.

01Context

Structured artist and project information

02Workflows

Scoped tools, permissions, and review

03Interfaces

A product workspace and assistant connections

// The drop lives here

Every release gets a storefront that sells.

Competitors can generate media. Patchline attaches it to the place the release actually lives: a link you own, with players, live signals, direct checkout, and fan capture built in.

music.patchline.ai/algoryx
A Patchline storefront with players, live signals, and direct checkout
Direct checkout

A Stripe-powered checkout interface on an artist’s own storefront.

Live signals

Plays, visitors, and fans update in real time as the drop travels.

Fan capture

Every buyer and signup becomes a contact your roster keeps.

// Marketplace

Every drop lands in one marketplace.

Your storefront is yours to own, and it also joins Patchline Music, where fans discover, play, and buy across the whole roster.

music.patchline.ai
The Patchline Music marketplace where fans discover and buy releases

// Roster intelligence

Turn roster and catalog signals into AI-ready context.

Patchline brings artist intelligence, catalog, audience, store, and campaign context into one hub your team can actually use.

Roster

Every artist in one operating layer

Artist profiles, catalogs, release plans, store links, and audience context in one workspace your team runs from.

Signals

Streaming, social, and catalog context

Read momentum across streaming, social, store, and fan sources without turning research into spreadsheet work.

Action

Turn intelligence into release work

Ask Aria to build plans, prep links, summarize opportunities, and route the next move to the right surface.

Patchline roster growth analytics across streaming and social
Patchline playlist targeting for a release
Patchline fan globe showing audience activity around the world

// Fan capture

Turn every drop into audience you own.

Every sale, signup, and reminder becomes fan signal on your map, not a metric locked inside someone else's platform. That audience is the context Aria uses for the next release.

Own the list

Drop pages and storefronts capture fan emails straight into your roster, not a platform silo.

See the map

Watch where an audience lights up so the next drop and campaign target the right rooms.

// Inbound connectivity

Every page you publish is built to be read by AI.

Discovery is moving from search boxes to AI answers. Your store, artist, release, and smart-link pages ship with machine-readable context, so when an AI looks up your music, it gets the real story.

Published pages

Store, artist, release, and smart-link pages ship machine-readable context.

Agent discovery

Agent-discovery files and MCP expose the same operating layer as the docs.

Real metadata

Answers stay grounded in catalog, release, store, and fan context.

// Ways to put Aria to work

Use the same music brain everywhere.

Start in Patchline, or connect the MCP layer to the AI tools your team already uses. Same agent, same data, same operating loop.

Web app

Run the team workspace

The full Patchline command center for catalog, releases, store, fans, and business workflows.

MCP layer

Use Aria inside Claude, ChatGPT, and Gemini

Install the connector once and ask from the AI tools you already use, grounded in the same Patchline data.

Explore Aria & MCP
Aria running a multi-agent music-business sweep inside Claude
Patchline connected stack: Notion, Instagram, ClickUp, YouTube, Drive

Then ask Aria: "what should this roster do next?"

// Field proof

Built with real music operators.

When you're making music to move people, you can't afford to slow down. Patchline isn't just infrastructure; it's the engine. The hands-on support makes it clear this is built by a creator who understands the work.

Integrating the Patchline MCP server into Claude has streamlined everything: no more copy-pasting ISRC codes or screenshots. My catalog, audience data, and infrastructure are directly accessible to the AI, so I can focus on the sound while building a direct-to-fan business I own.

Vibe Lab 1150HzRecording artist

// FAQ

Questions, answered.

What is Patchline?

This is the music software I built: an AI-native workspace for catalog, release planning, direct-to-fan sales, fan capture, and roster intelligence. Aria and its MCP layer connected that music context to AI assistants.

Which AI apps does Aria work in?

The MCP integration layer was designed for compatible assistants, including Claude and ChatGPT. Current assistant setup work is scoped around the tools your team chooses and the connections they support.

What grounds Aria's answers?

The product organized roster profiles, catalog metadata, release plans, storefront activity, and fan signals as context for Aria. Connected tools, available data, and explicit permissions define what an assistant can do.

Does this replace our distributor or DSPs?

This page shows product and integration engineering. A custom connection to a distributor is scoped around the client’s own account, permissions, review process, and available tools; it is not a distribution subscription.

Can Patchline handle a full roster with multiple artists?

The product was designed around multiple artists, roster profiles, and catalog context. For current work, we agree the assistant setup, training, or automation scope with your team before the build starts.

How does the release kit get generated?

The release-kit workflow connected track metadata to promo media, a shareable drop page, captions, a launch calendar, and a store listing. The original planner, drop-page, and storefront interfaces are shown above.

Bring that experience to your workflow.

AI assistant setup, hands-on learning, and custom automation for music businesses.