Aria

Aria is Patchline’s AI assistant for the music business. You talk to Aria the same way you talk to a manager, A&R, or label-ops person — and Aria takes action: reads your catalog, queries streaming data, drafts pitches, plans releases, updates project anchors, generates artwork briefs. Aria is one assistant with multiple front doors.

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What Aria does

Aria is one assistant covering many disciplines — release strategy, A&R research, catalog captioning, playlist matching, audience reads, storefront ops, content generation, and cross-tool actions through your connectors.

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When to use Aria

Use Aria for the work that lives between tools — the strategy and synthesis that usually means hopping between Spotify for Artists, your DAW, a label spreadsheet, and a notes app.

• You just finished a track and don’t know what to do next. Paste the file or the link. Aria gives you a release plan grounded in your catalog, your audience, and what’s actually working for artists like you right now.
• A curator asked for a pitch and you have an hour. “Pitch this track to Mint Friday curators” returns a draft you can edit and send.
• You want to know if you have momentum. “Summarize my streaming for the last month” pulls the real numbers, not vibes.
• You’re managing 5 artists and an upcoming release schedule. “What do I owe on Mira’s release this week?” reads the project anchor and returns the shortlist.

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Where Aria lives

Same Aria, multiple surfaces. Pick whichever fits the workflow you’re already in — they all hit the same data and the same connectors.

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Quick start

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Prerequisites

• A free Patchline account (sign up).
• At least one track in your catalog (uploaded or imported) for tools that reference your catalog. Aria can answer general questions without a catalog, but the answers get much sharper once it has your real data.
• For the Claude plugin: Claude Desktop or Claude Code.
• For the MCP server: Cursor, Codex, VS Code, or any MCP-compatible client.

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One agent, many disciplines

Aria is built as an orchestrator — not a single LLM with a long system prompt, but a coordination layer that holds your full context and routes work across many specialized capabilities under the hood. What that means in practice:

• Aria has access to your Patchline workspace context. Profiles, catalog, releases, playlists, visuals, music store, launchpad, audience, connectors. One conversation can pull from all of them.
• Aria coordinates many specialist capabilities. Artist research, catalog captioning, playlist matching, release strategy, pitch drafting, audience reads, visual generation, storefront ops, connector actions. You see one assistant. Behind it, dozens of capabilities are being chosen, sequenced, and combined to answer your prompt.
• Aria reads the music-business knowledge graph. Aria isn’t just reasoning over your data — it’s also reasoning over a deep, continuously updated model of the music business: what works for which artist tier, which playlists are moving, which audiences are growing where. That’s what makes “what do I do now, and why?” a real question with a real answer.

This is why we built Aria as one agent to rule them all, instead of shipping ten separate agents you’d have to switch between. The work in the music business doesn’t live in silos — your audience is your release strategy is your storefront. Your assistant shouldn’t either.

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Grounded by design

Every Aria answer is grounded in real data — your account state plus the music-business knowledge graph. Aria does not invent ISRCs, fabricate stream counts, or guess curator names. If a piece of data isn’t available, Aria says so and offers to fetch it. You can verify any number Aria gives you. That’s the design.

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Developer / agent surface

The same orchestrator is exposed to external AI clients through the product MCP at www.patchline.ai/api/mcp/v1. Cursor, Claude Code, Codex, and any MCP-compatible client can call into Aria’s capability surface using their own AI.

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Examples

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Example 1 — From a Spotify link to a release plan

You: here’s my new single, planning to drop in 6 weeks https://open.spotify.com/track/… Aria: Got it. [reads title, artist, ISRC, cover art, release date]. This is a metadata import, so upload the audio when you want sonic captioning. Closest artists in your roster: Mira, Tessa. I can draft a 6-week rollout from the release metadata and your artist context:

• Week -6: confirm artwork, write pitch copy
• Week -4: submit to Spotify editorial via your submission_status: eligible flag
• Week -2: smart link, pre-save, Telegram teaser
• Week 0: release day, DMs to the 8 curators who added Mira’s last single
• Week +2: post-release: TikTok ad targeting the dreampop cluster

Want me to create the project anchor and schedule the tasks?

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Example 2 — Cross-roster audience read

You: Which artist on my roster is gaining traction fastest right now, and which markets is it coming from? Aria: Cleo Bell. Up 18% in monthly listeners over the last 30 days, +42% on TikTok. Lift is concentrated in three cities — Mexico City, São Paulo, and Stockholm — and traces back to a sync placement two weeks ago. Want me to draft a localized push for those three markets?

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Example 3 — Multi-tool workflow

You: is there a playlist on Spotify with a curator I could pitch Mira’s new track to, who also added a similar artist recently? Aria: Yes, three:

• Lush Sounds (78k followers, curator: @lush_sounds_oslo) — added Tessa’s “Sleeper” 11 days ago. Submission status: open.
• Bedroom Vibes (210k followers, curator: @bedroomvibes) — added four dreampop tracks this month. Submission status: open.
• Future Female Sounds (190k followers, curator: @futurefemale) — adds quickly, high curator responsiveness score.

Want a pitch draft for the first one?

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Pricing

Plans, AI credits, and limits live on the pricing page — we keep them there so they’re always current.

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Related features

• Talking to Aria — prompts that work
• Talking to Aria — on-demand summaries
• MCP server overview — Aria’s tool surface
• Claude plugin — Aria inside Claude

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FAQ