AI strategy
Your AI lives in one person's head
Keep AI instructions, tools, and access with the company, then test whether another employee can run the workflow without its builder.
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AI and music.
Workflows, tools, and ideas for managing artists, marketing releases, and running catalogs.
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Featured · AI strategy
The Music Executive's Guide to AI Agents: What to Buy, What to Build, What to Ignore
A decision framework for music executives evaluating AI: what to buy, what to build, and how to test a useful first workflow.
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Music operations
Use AI to bring catalog data into your quarterly report
See how a finance lead used Claude to transfer catalog data into a quarterly report, check totals, and make progress before live integrations were ready.
Music investment
Use past investment memos to teach AI how your firm evaluates deals
We customized Recoup's free Deal Ingestion Skill with a client in one session, using past investment memos to reflect the firm's curves and investment standards.
AI strategy
How to roll out AI beyond your first successful team
Use practical one-on-one sessions to help the next department adopt AI, then turn the requirements teams discover into shared instructions and systems.
AI strategy
How to show your board whether AI is paying off
Compare a workflow’s full cost before and after AI. Use a board-reporting table that separates measured results, recalled estimates, and missing evidence.
Music and AI
AI Music Marketing: The Complete Guide for 2026
Workflows to test for music marketing, the data and review controls they need, and how artists, managers, and labels can evaluate the results.
Music and AI
AI for Music Managers: Automate the Busywork, Keep the Relationships
How managers can evaluate AI for reporting, content drafts, and outreach preparation while keeping ownership of artist relationships.
Product
Bring your own agent
Connect your own AI agent to Recoup with its API, CLI, and MCP server, and bring music workflows into the tools you already use.
Insights
AI A&R: How Labels Are Using AI to Find the Next Hit Artist
How to use AI for sourced artist briefs, catalog comparisons, and an A&R research pipeline your team can evaluate.
Insights
AI for Music Distributors: Automate the Ops That Are Killing Your Margins
How to evaluate AI for metadata checks, marketing preparation, reporting, and catalog monitoring without losing review and service quality.
Music and AI
Why Music Labels Are Hiring AI Agents Instead of More Interns
A practical way for labels to evaluate AI for catalog research, A&R preparation, and artist operations without assuming staffing or revenue gains.
Insights
Your Catalog Is Dying. AI Agents Can Revive It.
How to identify catalog work worth testing, prepare a reviewed campaign, and measure effort separately from revenue outcomes.
Insights
Why Labels Are Replacing Marketing Teams with AI Agents
Which marketing tasks can AI assist with, and what should a label measure before changing staffing or spend?
Insights
How Much Does AI Music Marketing Actually Cost? A Real Breakdown
The costs to include when budgeting for AI music marketing, from subscriptions and implementation to review and ongoing support.
Music and AI
ChatGPT vs. Music AI Agents: Why Generic AI Falls Short
How to compare general-purpose assistants and music-focused workflows by data access, context, recurring tasks, and review controls.
Music and AI
AI Playlist Pitching: How to Get More Placements Without More Hours
How to use AI for playlist research, relevant pitch drafts, and response tracking, with checks for fit, approvals, and measurable results.
Tutorials
Install the Recoup Skills & Plugins Marketplace on Claude Desktop
Install the Recoup Skills & Plugins Marketplace in Claude Desktop, add Recoup skills, and connect your music workspace.
Insights
AI for Record Labels: How Smart Labels Are Cutting Costs and Scaling Output
Where AI can help a label’s marketing team: recurring preparation, content drafts, catalog research, and reporting, with a practical way to evaluate the cost and quality.
Guides
The Best AI Tools for Music Managers in 2026
A workflow-based guide to choosing AI tools for artist management: context, data access, approvals, total cost, and useful output.
Insights
How Labels Use AI in 2026: From Catalog Reactivation to Autonomous Marketing
Five AI workflows a label can evaluate, from catalog research and content localization to artist marketing preparation and performance review.
AI agents
Why Artists Need AI Agents, Not AI Tools
How a connected AI workflow can help musicians organize drafts, context, and review, and how to tell whether it is actually saving effort.
Content creation
How to Create a Month of Content in One Day
A practical batching exercise for turning artist material into a month of planned drafts, with clear steps for review and scheduling.
Release strategy
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.
Insights
The ROI of AI Music Marketing: What the Numbers Say
How to compare software, setup, review time, and actual cash savings when evaluating AI for music marketing.
Insights
The Independent Artist's Marketing Guide: No Label, No Budget, No Problem
A small-budget music marketing plan with content ideas, a suggested weekly schedule, relevant outreach, and practical ways to test AI.
Product
Open Labels
How Recoup's API and agent tools let you build a programmable record label around your artists, catalog, and music workflows.
Insights
How AI is Changing Music Marketing
A practical workflow for connecting artist context, content drafts, review, and publishing preparation with AI.
Engineering
Sandbox for Record Labels
Use Recoup sandboxes to give your music team's AI agents a file system, documents, and tools for working with artist context.
Company
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.
Music and AI
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.
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