Research & Field Notes
The agentic music industry, in the open.
Essays on where music and AI are heading — plus guides and tutorials you can ship today. Straight from the team building the agent infrastructure and running our own label.
20 pieces · research, guides & tutorials
AI A&R: How Labels Are Using AI to Find the Next Hit Artist
Traditional A&R relies on gut instinct and relationships. AI A&R uses data to surface breakout artists before anyone else. Here's the playbook labels are actually using.
AI for Music Distributors: Automate the Ops That Are Killing Your Margins
Music distributors are drowning in operational overhead — metadata, marketing, reporting, artist support. AI agents are the only way to scale without hiring. Here's how.
The Music Executive's Guide to AI Agents: What to Buy, What to Build, What to Ignore
Every music company is being pitched AI tools. Most of them are useless. Here's a decision framework for executives who need to cut through the noise and actually deploy AI that works.
Your Catalog Is Dying. AI Agents Can Revive It.
Most labels have hundreds of tracks generating declining passive revenue with zero marketing support. AI agents change that math entirely.
Why Labels Are Replacing Marketing Teams with AI Agents
The math doesn't work anymore. A junior marketer costs $55k/yr and handles 3 artists. An AI agent costs a fraction and handles 50. Here's how labels are making the switch.
How Much Does AI Music Marketing Actually Cost? A Real Breakdown
Everyone talks about AI saving money. Nobody shows the receipts. Here's what labels and managers are actually paying — and what they're getting back.
Install the Recoup Skills & Plugins Marketplace on Claude Desktop
A step-by-step walkthrough for installing the Recoup skills and plugins marketplace inside Claude Desktop.
AI for Record Labels: How Smart Labels Are Cutting Costs and Scaling Output
Record labels spend $50k–$500k per release on marketing. AI agents are cutting that by 80% while increasing output. Here's how.
The Best AI Tools for Music Managers in 2026
Music managers are drowning in content, campaigns, and admin. Here are the AI tools that actually work — and the one approach that changes everything.
How Labels Use AI in 2026: From Catalog Reactivation to Autonomous Marketing
Labels are quietly using AI to reactivate dead catalogs, slash marketing costs, and scale artist development. Here's what's actually working.
How to Create a Month of Content in One Day
A step-by-step workflow for using AI agents to batch-create 30 days of social media content for your music in a single session.
The ROI of AI Music Marketing: What the Numbers Say
A hard look at the real costs of music marketing — hiring, freelancers, and DIY — versus what AI agents cost. The math is not close.
The Independent Artist's Marketing Guide: No Label, No Budget, No Problem
A practical marketing playbook for independent artists with zero budget. Real tactics, no fluff, and how AI levels the playing field.
The Complete Music Release Strategy for 2026
A phase-by-phase music release strategy covering pre-release, launch week, and long-tail promotion with platform-specific tactics for 2026.
Why Artists Need AI Agents, Not AI Tools
AI tools help you do tasks faster. AI agents do the tasks for you. For musicians drowning in marketing work, that distinction changes everything.
Open Labels
The record label is no longer a set of tools — it's a programmable system your agent can run.
How AI is Changing Music Marketing
Artists spend 10+ hours a week on content and social. AI agents compress that to minutes. Here's how the shift is happening — and what it means for independent artists.
Sandbox for Record Labels
A file system and bash for your mood boards, docs, and rules — a sandbox built for how record labels actually work.
Recoup in 2026
In 2026 we're optimizing Recoup for enterprise label teams: recurring value for every seat, measurable time saved, and clearer outcomes per campaign.
Meta Bought Manus Because Agents Still Break
Meta's $2-3B acquisition of Manus signals where AI value is accumulating: not in models, but in orchestration layers that keep agents coherent across real work.
AI is changing the music business fast.
Notes on AI agents for music — research, open tools, and what we learn running our own label. For labels, managers, and distributors.
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