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COURSE CATALOG

SquareWave.ai offers the following courses, workshops, and seminars for music professionals. Each session is designed to produce usable skills, repeatable workflows, and clear next steps.

AI Overview

AI Overview & Foundations

These sessions are the “get oriented, get fluent, stop guessing” layer. They’re built for music professionals who keep hearing about AI but don’t have time to chase every tool, trend, and opinion. You’ll leave with a clean mental model of what modern AI is, what it isn’t, and where it actually fits across creation, marketing, operations, and rights workflows.

This category is intentionally non-technical: no code, no hype, no vendor upsells. The goal is practical literacy: Clear terms, realistic expectations, and a repeatable way to evaluate tools and use cases so you can make confident decisions without falling into hype, fear, or endless experimentation.

You’ll Get:
 

  • A simple map of today’s AI landscape (LLMs, image/video tools, music generation tools, agents, assistants, etc.)

  • What AI is good at, what it’s bad at, and where it breaks

  • How to think in workflows (inputs, process, output, review, adjust, reuse) so AI becomes usable


Available Courses:

AI Foundations for
Music Professionals

Core concepts, key terms, and the practical reality of AI in music work

This is “AI for busy people,” tuned for music roles. You’ll get the minimum viable understanding needed to use AI responsibly and effectively, without drowning in jargon or wasting weeks testing the wrong tools.

What We Cover:

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  • The AI landscape in one map: LLMs, music generation, image/video, assistants/agents

  • Key terms and concepts in plain English (what matters, what doesn’t)

  • Practical prompting basics for LLMs (how to get useful output consistently)

  • What AI can and can’t do in real music workflows

  • A fast evaluation method so you can test tools without wasting time or money

 

Optional Workshop Add-On:

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  • Live Q&A and hands-on walkthrough of ChatGPT and other core tools

  • Bring your real use cases and we’ll pressure-test them in the room

 

Best For: Artists, managers, marketers, label teams, and music-tech builders who want a baseline fast.

 

Pricing:

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  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

Understanding
the Mind of AI

How LLMs behave, why they fail, and how to communicate with them so they’re actually useful

Most people don’t have an “AI problem.” They have a translation problem. This course gives you a practical model of how LLMs operate and "think", so you stop treating them like magic and start using them as tools to break creative roadblocks and solve real business problems.

You’ll learn what these systems are doing under the hood (patterning, not truth), what they reliably do well, where they predictably fall apart, and how to structure inputs so the output is usable.

What We Cover:

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  • How LLMs generate outputs (pattern completion, not “truth”)

  • Why hallucinations happen and how to reduce them

  • How context works: What’s remembered, what’s missing, what you must supply

  • Prompt patterns that improve results: Constraints, examples, rubrics, iterative drafts

  • Practical guardrails: Verification checks, sources, and human review steps

  • Real-world use cases and short case studies (creative and operational)


Optional Workshop Add-On:

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  • Live analysis of participant prompts

  • Build a reusable “prompt stack” for your work

  • Q&A on edge cases: Brand voice, sensitive topics, accuracy, and workflow integration


Best For: Anyone using ChatGPT/Claude/etc. for writing, ideation, planning, operations, or systems.

Pricing:

 

  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

Applied AI for Creatives and Music Teams

A practical tour of tools, techniques, and real-world use cases across the music stack

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This is the bridge from “understanding AI” to “using it with intent.” You’ll see where AI fits across real music workflows, what tools are commonly used, and what “good” looks like in practice. The goal isn’t deep mastery of one platform. It’s giving you an adoption playbook you can apply immediately and refine over time.

What We Cover:

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  • High-impact use cases across creation, production/post, marketing/content, operations, and rights workflows

  • Tool selection by outcome (not novelty) and how to evaluate tools quickly

  • Simple workflows that you can adapt and reuse: Inputs, steps, quality checks, and handoffs

  • Where risk shows up (rights, brand voice, disclosure) and how to keep it controlled

  • Practical examples and short case studies
     

Optional Workshop Add-On:

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  • Analyze and map participant workflows from “current state” vs. “AI-assisted state” in real time

  • Build a first-pass workflow doc: Tool shortlist, prompt starters, quality gates, human review steps

  • Define a 2-week pilot plan: Who owns it, what success looks like, what to measure, what to stop doing


Best For: Teams who want a music-focused overview so they can decide what to try first, what to ignore, and how to avoid wasting cycles.

Pricing:

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  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

Ready to book a course,

or just want to learn more?

Prompt Engineering

Prompt Engineering & Workflow Design

Prompting is not “asking AI nicely.” It’s specifying inputs, constraints, and success criteria so the tool reliably produces usable output. For music teams, the difference between mediocre results and repeatable, high-quality output comes down to two things: how you communicate with the model, and whether you’ve built a workflow around it that holds up in real use.

Prompt engineering is still evolving. This category teaches practical prompting frameworks and workflow patterns grounded in current best practices, so your results stay consistent as tools and models change. You’ll leave with reusable prompt structures, quality checks, and simple systems you can apply across writing, planning, content, and creative development without turning your day into a never-ending prompt experiment.

You’ll Get:

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  • Prompt frameworks that produce consistent results (constraints, examples, iterative drafting, evaluation)

  • Workflow design: where AI fits, where humans stay in control, and how handoffs work

  • Reduced failure modes: hallucinations, tone drift, inconsistency, and “looks good in a demo” output

  • Repeatable systems your team can actually adopt (templates, checklists, standards)


Available Courses:

Prompt Engineering
for Musicians and Creatives

Practical prompting frameworks for real creative output

This is the “core prompting” workshop, tuned for people who make things. You’ll learn how to consistently get usable output from LLMs (ChatGPT) and creative tools (image/video generators), without wasting hours in trial-and-error.

We focus on repeatable prompt structures and lightweight workflows that hold up under real use: Writing, planning, ideation, creative direction, content packaging, and production support. Light coverage of music-gen prompting concepts is included, but this course is primarily about building durable prompting skills across creative work.

What We Cover:

 

  • Prompt frameworks that work: Constraints, examples, tone control, rubrics, iterative drafting

  • Getting consistent results: Templates, reusable “prompt blocks,” and versioning

  • Turning vague goals into actionable prompts (inputs, outputs, criteria, edge cases)

  • Managing failure modes: Hallucinations, style drift, “helpful nonsense,” inconsistency

  • Using AI in a workflow: When to use it, when to stop, and how to review outputs

  • Light overview: Prompting patterns you’ll see in tools like Suno and Udio


Optional Workshop Add-On:

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  • Hands-on lab: participants build a reusable prompt kit for their own work (writing, planning, creative direction), plus live troubleshooting and refinement.


Best For: Artists, producers, managers, marketers, label teams, and music-tech builders who already use (or want to use) ChatGPT and other creative AI tools, but need a reliable method for getting consistent, usable output without wasting time.

Pricing:

 

  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

Prompt Engineering for Songwriters and Lyricists

Lyric ideation, drafting, revision, and “finish the song” workflows

This course is built for the realities of songwriting: Half-finished drafts, strong ideas that won’t land, mood boards that go nowhere, verses that work but a chorus that doesn’t, and lyrics that sound like “AI wrote them.” You’ll learn how to use an LLM as a co-writer without losing your voice, originality, or taste.

The emphasis is on process: Generating options fast, imposing creative constraints, preserving your voice, and revising toward lyrics that actually feel performable.

What We Cover:
 

  • Lyric ideation systems: Themes, hooks, angles, “seed lines” that create momentum

  • Voice constraints: Enforcing perspective, tone, vocabulary, and “what you would never say”

  • Drafting workflows: Structure, internal rhyme, meter, imagery, variation

  • Revision workflows: Kill clichés, fix weak lines, increase specificity, raise emotional stakes

  • “Finish the song” systems: Filling gaps, bridging sections, second-verse problems

  • Avoiding AI-flavored lyrics: Specificity, imperfections, and human fingerprints

  • Clean handoff patterns for moving lyrics into music-gen tools


Optional Workshop Add-On:

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  • Live lyric lab: Participants bring a draft or concept and leave with a strengthened version using guided prompting and structured revision.


Best For: Songwriters and lyricists who want faster ideation and stronger revisions without compromising voice. Also ideal for artists who write their own lyrics, co-writers who want structured collaboration tools, and producers working with writers who need a repeatable “get to finished” process.

Pricing:

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  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

Prompt Engineering for
Suno and Udio

Better generations, cleaner iteration, and end-to-end song crafting basics

Music-gen tools are powerful, but they’re not magic. The difference between “random cool output” and repeatable results is prompt structure, iteration strategy, and how you manage lyrics, sections, and revisions across versions.

This course teaches practical prompting patterns for Suno and Udio-style tools, plus a simple end-to-end workflow for getting from idea to a usable track without spiraling into endless iterations.

What We Cover:

 

  • Prompt anatomy for music-gen: Genre anchors, instrumentation, energy, structure, and reference language

  • Iteration strategy: How to steer results without resetting from scratch

  • Lyric handoff workflow: Write in an LLM, format for music-gen, revise with intention

  • Meta-prompting: Generating better prompts with AI without producing generic mush

  • Remix and variation tactics: Alternate versions, arrangement shifts, “performance” swaps

  • A basic song-crafting loop: Ideate, prompt, generate, evaluate, refine, export

  • Quality control: What to listen for, what to keep, and what to discard quickly


Optional Workshop Add-On:

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  • Hands-on generation lab: Participants build prompts, run iterations, and leave with practical prompt templates plus a repeatable iteration workflow.

 

Best For: Artists, producers, and creators who want to use Suno and Udio to generate original material, fast demos, alternates, or creative starting points. Also ideal for non-producers who want a structured way to get to usable tracks, and for teams experimenting with AI music generation who need repeatable quality instead of roulette.

Pricing:

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  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant​

Prompt Engineering
for Podcasters

A practical AI toolkit for ideation, scripting, voice workflows, and publishing support

Podcasting is a workflow machine: Ideas, structure, writing, editing, clips, titles, descriptions, and distribution. This course shows participants how to use AI to reduce friction across the full pipeline while keeping your show’s voice and quality human.

We take a deep dive into LLM workflows (planning, scripting, repurposing), voice tools (e.g. ElevenLabs), and packaging systems that make publishing faster and more consistent.

What We Cover:

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  • Episode ideation: Angles, series concepts, guest prep, and content calendars

  • Outline and script workflows: Structure, pacing, segment writing, intro/outro systems

  • Voice workflows overview: Narration drafts, voice tools, and quality considerations

  • Editing support: Show notes, summaries, timestamps, clip scripts, and pull quotes

  • Publishing support: Titles, descriptions, platform metadata, social snippets, email blurbs

  • Consistency systems: Templates and reusable prompt packs for recurring formats


Optional Workshop Add-On:

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  • Workflow build session: Participants create a reusable “episode pipeline kit” (outline template, script prompt, clip prompt, and publishing prompt) tailored to their show.

 

Best For: Podcast hosts, producers, and small teams who want to publish more consistently with less grind. Especially useful for interview shows, solo narrative shows, and branded podcasts that need repeatable workflows for research, scripting, repurposing, and distribution without turning the show into bland “AI voice.”

Pricing:

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  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

Custom Prompting Workshop

Tailored prompting and workflows for your team, built around real requirements and real constraints

This is a scoped, role-specific workshop designed around how your team actually works. Instead of generic prompting advice, we build a practical prompt kit and lightweight operating process your team can use immediately, with standards for quality, review, and consistency.

Common directions include: Marketing prompts and content systems, release ops and rollouts, label ops workflows, management/admin workflows, or internal enablement for a specific function.

What We Cover (customized):

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  • Your use cases: What outputs you need, what “good” looks like, and where AI fits

  • Prompt kit creation: Templates, examples, constraints, tone controls, and evaluation rubrics

  • Workflow design: Handoffs, review steps, standards, and adoption habits that won’t collapse after week one

  • Quality control: Reducing drift, inconsistency, and time-wasting iteration loops

  • Implementation plan: A simple cadence for using the kit weekly without turning it into a process tax


Optional Workshop Add-On:
 

  • Live build lab: We create and refine your team’s prompt library in-session, then lock a usable v1 kit with standards, examples, and usage guidance.


Best For: Teams and operators who already have real workflow pressure and need AI to perform consistently: labels, agencies, marketing/content teams, artist teams, managers, and internal ops groups. Also a fit for leaders who want standards and repeatability across multiple contributors (so output doesn’t depend on “who’s good at prompting”).

Pricing (custom):

 

  • Standard workshop: $500–$750 per participant (final pricing based on scope and customization depth)

  • Private/team delivery available (scoped separately)

Ready to book a course,

or just want to learn more?

Tool Surveys

Tool Surveys & Roundups

The AI tool landscape is crowded, fast-moving, and full of duplicates. Music professionals who want to adopt AI often waste weeks evaluating options, adopt too many tools at once, or choose tools that don’t fit their workflow, budget, or quality standards.

This category is built to fix that. These workshops provide a guided, role-specific tour of the tools actually worth considering right now, plus a practical method for evaluating and adopting them without turning tool shopping into your new part-time job. You’ll leave with a shortlist, clear evaluation criteria, and concrete next steps, not a random pile of app links.

You’ll Get:

 

  • Role-based tool overviews grounded in real use cases (not novelty)

  • A simple evaluation method: What to test, what to measure, what to ignore

  • Recommendations shaped by your constraints: Budget, team size, workflow complexity, risk tolerance

  • Adoption guidance: How to test and roll in tools without creating chaos or inconsistent output

  • A clear shortlist and a “start here” path for your role or team


Available Courses:

AI Tools Survey:
General (All Roles)

A guided tour of the AI tools that matter, plus a simple method to evaluate what’s worth adopting

This is the “wide-angle lens” tools overview course. In three hours, we walk through the core AI tool categories most people in music will touch, explain what each class of tool is good for (and what it’s not), and teach a practical evaluation method so you can stop guessing and start choosing tools with intent.

This isn’t a demo parade. It’s a curated survey designed to help you build a short, sensible toolkit that fits your workflow, creative goals, budget, and risk tolerance.

What We Cover:

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  • The current AI tool landscape, organized by category (LLMs, image/video, music-gen, transcription, assistants, automation, analytics, and more)

  • What each category is actually good for in real workflows (creation, marketing, operations, planning, admin)

  • A fast evaluation method: What to test in 10–15 minutes, what “good” looks like, common red flags

  • Tool selection by constraints: Budget tiers, solo vs. team usage, collaboration needs, privacy and IP considerations

  • How to avoid tool overload: Building a minimal, coherent stack instead of collecting apps

  • Practical starting recommendations: A baseline stack most roles can use immediately


Optional Workshop Add-On:

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  • Live evaluation lab: Participants test 2–3 tools using a simple scorecard, then leave with a shortlist and a “try first” plan.

  • AI tools question and answer session


Best For: Artists, producers, managers, marketers, label teams, founders, and anyone who wants a broad, non-overwhelming view of the AI tool landscape before going deeper by role.

Pricing:

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  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

AI Tools Survey:
Musicians & Producers

Tools for writing, production support, sound design, stems, mastering, and release-adjacent workflows

This course is a focused tour of the AI tools that actually show up in modern music creation. We cover what’s worth experimenting with right now, what’s mostly marketing fluff, and how to evaluate tools quickly without derailing your creative process.

The goal is not to “use AI for everything.” The goal is a tight, practical toolkit that helps you write faster, get past production roadblocks, improve polish, and reduce the annoying parts of finishing and releasing music.

What We Cover:

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  • Core tool categories for creators: LLMs for writing/ideation, music-gen tools, audio editing support, stem workflows, mixing/mastering assistants, transcription/notation helpers, and release-support tools

  • Music-gen reality check: Current capabilities, common limitations, and lesser-known tools worth testing

  • Writing + arrangement support: Turning fragments into drafts, variation generation, chord/structure options, lyric refinement workflows

  • Stems and separation: What current tools do well, common artifacts, and practical use cases (edits, remixes, live stems, content)

  • Mixing/mastering assistants: When they’re good enough, when they’re risky, and how to A/B and QA results without fooling yourself

  • AI-enabled DAW tools and plugins: Where AI actually helps inside modern DAWs and how to avoid workflow clutter

  • Release-adjacent workflows: Metadata, descriptions, credits, content packaging, planning support

  • Evaluation method for music tools: What to test in 10–15 minutes, quality checkpoints, and red flags


Optional Workshop Add-On:

​

  • Live evaluation lab: Participants test 2–3 tools using a simple scorecard, then leave with a shortlist and a “try first” plan.

  • AI tools question and answer session


Best For: Artists, songwriters, producers, and engineers who want practical, current tool guidance without getting trapped in endless experimentation.

Pricing:

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  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

AI Tools Survey:
Marketing & Social Teams

Content systems, creative generation, analytics, targeting, community ops, and campaign workflows

This course is a guided tour of the AI tools most useful to music marketing and social teams right now, with an emphasis on practical adoption. We cover what each tool category is best at, where common failure modes show up (brand voice drift, low-quality output, misleading insights), and how to evaluate tools quickly so you don’t waste weeks on platforms that won’t stick.

The goal is a small, coherent toolkit that helps your team move faster, stay consistent, and execute campaigns with less grind.

What We Cover:

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  • AI-assisted content systems for faster ideation, writing, and repurposing across platforms

  • Creative generation support for visuals, short-form scripts, and campaign variations

  • Practical analytics workflows: What to track, how to interpret results, and how to adjust quickly

  • Campaign support: Planning, messaging, rollout structure, and consistency across channels

  • Administrative acceleration: Lightweight workflows that reduce repetitive marketing work

  • A simple tool evaluation method: Quick tests, quality checks, and red flags to avoid

 

Optional Workshop Add-On:

​

  • Live evaluation lab: Participants test 2–3 tools using a simple scorecard, then leave with a shortlist and a “try first” plan.

  • AI tools question and answer session


Best For: Marketing leads, social teams, label/artist marketing staff, agencies, and anyone responsible for marketing content creation, campaign execution, or audience growth.


Pricing:

 

  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

AI Tools Survey:
Managers, Labels, and
Business Operators

Tools for planning, operations, rights-adjacent workflows, reporting, and decision support

This course is a guided tour of the AI tools most useful to the business side of the music industry: Managers, label teams, distributors, operators, and anyone accountable for execution. We focus on practical workflows that reduce administrative drag, sharpen decision-making, and improve consistency, without turning your team or organization into a graveyard of half-used subscriptions.

The goal is a small, dependable toolkit that makes operations faster and cleaner: Better planning, better documentation, smoother coordination, and fewer dropped balls.

What We Cover:

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  • Planning and decision support: Turning messy inputs into usable outputs, clear options, and next steps

  • Operational acceleration: Repeatable workflows for admin, coordination, and internal communications

  • Reporting and documentation: Briefs, summaries, meeting capture, internal updates, and deliverable drafting

  • Team usage standards and governance: Guardrails for privacy/IP, review steps, and consistency

  • Evaluation method: Quick tests, workflow-fit checks, and red flags to avoid


Optional Workshop Add-On:

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  • Workflow mapping lab: Participants identify and outline one real operational workflow, and then build a small “AI assist layer” with templates and a simple evaluation checklist.

  • AI tools question and answer session


Best For: Artist managers, label ops teams, distributors, project coordinators, business owners, and anyone running schedules, systems, or cross-stakeholder coordination across releases and campaigns.

Pricing:

​

  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

AI Tools Survey:
Visual Artists

A practical overview of AI tools for images, design assets, and short-form video

This workshop is a guided tour of the AI tools most useful to visual artists working in and around music: Cover art, single/album visuals, promo graphics, merch concepts, tour posters, social assets, and lightweight motion content. We keep it practical and realistic, focusing on what’s worth experimenting with now and how to evaluate output without lowering your standards.

The goal is a small, workable toolkit that speeds up conceptualization and production support, while keeping taste and final decisions human.

What We Cover:

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  • Core tool categories: Image generation, editing/enhancement, upscaling, background/object changes, style exploration

  • Design workflow support: Variations, layout exploration, asset ideation, and fast mockups for approvals

  • Brand consistency basics: Keeping a visual direction coherent across multiple assets and campaigns

  • Rights, ethics, and safety notes: What to watch for, similarity risk, and client expectations

  • Evaluation method: Quick tests, quality checkpoints, and common red flags


Optional Workshop Add-On:

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  • Hands-on lab: Participants run a small “asset sprint” (one concept, multiple variations) and leave with a reusable prompt and revision workflow

  • AI tools question and answer session


Best For: Designers and visual artists supporting music projects, merch/tour poster creators, social content designers, and artist teams that want practical AI support for visual production

Pricing:

​

  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

Custom AI Tools Survey

A curated shortlist and workflow mapping for your team’s exact context

Most teams don’t need “more tools.” They need the right tools, chosen against real constraints: Budget, skill level, approvals, IP/privacy concerns, turnaround time, and the actual work you do every week. This workshop is a scoped, role-specific tools survey built around your business and environment.

We map your workflow, identify the highest-leverage tool categories for your needs, and deliver a curated shortlist with a practical adoption path so your team can test, decide, and implement without chaos.

What We Cover:
 

  • Workflow and requirements intake: What you do today, where friction lives, what “good” looks like, and what you must avoid

  • Tool category fit: Which classes of tools actually matter for your use case (and which are distractions)

  • Curated shortlist: A focused set of options matched to your budget, team size, and quality bar

  • Evaluation method: Simple scorecard testing so decisions happen fast and defensibly

  • Adoption plan: Who uses what, when, with lightweight standards for consistency and review


Optional Workshop Add-On:

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  • Live selection lab: We run structured evaluations on a few shortlisted tools and leave you with a clear “try first” plan

  • AI tools question and answer session


Best For: Teams with specific workflows or higher stakes, including labels, agencies, artist teams, music-tech groups, and operators who need role-based tool decisions that won’t fall apart after the first week

 

Pricing:

​

  • Standard workshop: $500–$750 per participant (final pricing based on scope and customization depth)

  • Private/team delivery available (scoped separately)

Ready to book a course,

or just want to learn more?

Music Creation

Music Creation & Song Design

Music-gen tools can generate “cool” in seconds. That’s not the hard part. The hard part is getting repeatable, release-worthy output, steering generations toward a clear creative intent, and building a process that doesn’t collapse into endless rerolls and half-finished drafts.

This course category is built to turn AI music creation into a usable craft. We focus on prompt structure, iteration strategy, lyric handoffs, tool mechanics, and quality control. The goal isn’t to replace musicianship. It’s to give creators and teams a practical workflow for generating, refining, and packaging ideas into finished, usable tracks.

You’ll Get:

 

  • A simple end-to-end workflow: idea, prompt, generate, evaluate, refine, export

  • Prompting patterns that improve coherence, structure, and stylistic control

  • A grounded walkthrough of what modern music-gen tools can and can’t do, including what the latest models are best at

  • Iteration systems that steer results without starting over every time

  • Quality checkpoints: what to listen for, what to keep, what to discard fast

  • Practical guidance for blending AI and non-AI workflows using real import/export paths


Available Courses:

Song Design with
Suno and Udio

End-to-end creation: Concept, lyrics, iterations, versions/remixes, export, and production handoff

This course turns “AI can generate music” into “I can reliably craft tracks with intent.” We walk through a complete song-design workflow using Suno / Udio-style tools, focused on repeatable results: How to start with a clear target, steer outcomes, iterate without spiraling, and export material that’s genuinely usable for next-step production.

You won’t just press “generate” and hope. You’ll learn how to direct generations, manage versions, and build a lightweight system that consistently produces keepers.

What We Cover:

 

  • Concept-to-brief: Turn a vague idea into a clear creative target (genre anchors, mood, energy, structure, references)

  • Lyrics workflow: Draft in an LLM, format cleanly for music-gen, run fast revision loops, and correct vocal generator errors

  • Prompt anatomy for music-gen: The levers that actually move results, plus what not to over-specify

  • Iteration strategy: Steer changes across takes without losing what worked

  • Remixes & variations: Performance swaps, arrangement shifts, alternate hooks/sections, controlled “same but different” output

  • Quality control: What to listen for, common failure modes, and simple assessment criteria

  • Export and handoff: What you can take into the next stage (DAW handoff, stems/parts where available, mix/master next steps, content packaging)


Optional Workshop Add-On:

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  • Hands-on build lab: Participants run a mini-pipeline in-session and leave with a clean track and reusable prompt template and iteration checklist tailored to their own style and goals.


Best For: Artists, producers, songwriters, content creators, and teams who want a practical, repeatable way to generate tracks they can actually use, refine, and release (or hand off for finishing).

Pricing:

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  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

Generating Songs with AI:
End-to-End Crash Course

Fast-start training to take a track from idea to a clean, release-ready package

This is the “move fast and finish” workshop. In a single session, we walk through an end-to-end workflow for generating a song with AI tools, refining it into something coherent, and packaging it for release. The point isn’t perfection. It’s building a repeatable process that reliably produces finished output you can build on.

We stay grounded in real-world constraints: Quality control, basic mixing/mastering realities, metadata, artwork needs, and the practical ethics/rights decisions that come with AI-assisted creation.

What We Cover:

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  • Start with intent: Turn a loose idea into a simple creative brief (style, mood, structure, references)

  • Lyrics + concept workflow: Generate, revise, and format lyrics so they actually work in music-gen tools

  • Music generation workflow: Prompt anatomy, iteration strategy, version management, and listening assessment criteria

  • Clean finishing basics: Practical polish steps (edits, light cleanup, loudness/level targets, AI mastering tools, common pitfalls)

  • Artwork and packaging: Fast cover concepts and export-ready assets

  • Release prep essentials: Metadata, credits, and basic rollout notes

  • Ethics and rights guardrails: Reasonable choices around disclosure, originality, and risk boundaries


Optional Workshop Add-On:

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  • Release-ready lab: Participants bring a concept (or rough draft) and leave with a completed “release package” checklist: Lyric sheet, prompt set, selected track version, basic artwork direction, metadata draft, and a next-step distribution plan.


Best For: Creators who want a fast, structured path from blank page to finished track, plus the practical steps around release. Especially useful for independent artists, content-first creators, and first-time music-gen users.

Pricing:

​

  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

Ready to book a course,

or just want to learn more?

Ethics

Ethics, Rights, and Decision Making

AI doesn’t just change what’s possible. It changes what’s acceptable. In music, that spans everything from rights and liability to the softer (but very real) questions of taste, authenticity, and the long-term cost of outsourcing too much human craft.

This category is built around decision points. At nearly every step in a creative, business, or marketing workflow, you can choose: Human or AI. Some choices are harmless and efficiency-positive. Others quietly erode originality, blur authorship, or weaken the very human edge that makes music matter. The goal here is simple: Use AI intentionally, with clear boundaries and defensible decisions.

You’ll Get:
 

  • A practical map of the current ethical and rights landscape in AI music and media

  • A decision-point framework you can apply across your full workflow (creation, production, visuals, marketing, ops)

  • Guidance on the “loss of human creativity” problem: Where AI helps craft, where it replaces craft, and how to avoid creative atrophy

  • Risk checkpoints for rights and exposure: Inputs, training-data concerns, similarity risk, and what to document

  • A simple disclosure lens: When disclosure is wise, when it’s optional, and how to communicate it without triggering backlash or undermining trust

  • Team guardrails: Lightweight policies, review steps, and “here’s how we do AI” standards that keep quality and accountability intact


Available Courses:

Decision Points:
Ethical and Legal Landscape
in AI Music

Where choices actually matter: Creation, training data, voice/likeness, disclosure, licensing, derivative risk, and platform rules

This course is a practical map of the “risk layer” in AI music. Not fear-mongering, not vague ethics talk. We break down the decision points that show up when you use AI across creation, production, visuals, marketing, and operations, and we clarify what’s known, what’s unsettled, and what choices reduce unnecessary exposure.

The focus is judgment: How to move fast without accidentally compromising rights, trust, or artistry.

What We Cover:

​

  • Decision points across the workflow: Where “human vs. AI” choices create real risk, and where they’re mostly harmless

  • Training data and provenance basics: What questions to ask about tools, inputs, outputs, and usage terms

  • Voice, likeness, and identity: Where impersonation risk shows up and how to avoid it

  • Licensing and derivative risk: What “too close” can look like, how similarity risk emerges, and what to document

  • Platform and distributor realities: Practical rules and review issues that can derail releases or campaigns

  • Disclosure choices: When it’s wise, when it’s optional, and how to communicate AI involvement without self-sabotage

  • Guardrails that work: Lightweight standards for teams (review steps, approval points, usage norms, record-keeping)


Optional Workshop Add-On:

​

  • Decision-point clinic: Participants bring a real project (song, campaign, content pipeline, or tool choice). We run it through a structured checklist for where to keep things human, where AI is reasonable, and what boundaries and documentation to put in place.


Best For: Artists, producers, managers, label teams, marketers, and music-tech builders who want to use AI without walking blindly into rights problems, reputation damage, or platform headaches.

Pricing:

​

  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

Ethical AI Creation for Musicians and Artists

How to use AI to augment humans, not replace them, with practical boundaries and best-practice patterns

This course is about using AI without hollowing out the very thing you’re trying to make. AI can remove friction, spark options, and cover skill gaps. It can also quietly replace taste, erode originality, and turn your output into generic sludge. We focus on the difference, and on building a creative workflow where humans stay in charge.

You’ll leave with practical boundaries, decision-point habits, and “human-first” patterns you can apply across writing, production, visuals, and content, so AI supports your craft instead of substituting for it.

What We Cover:

​

  • Human-first creative boundaries: Where AI helps, where it harms, and how to decide quickly

  • Decision points in the creative pipeline: Ideation, drafting, editing, production, visuals, packaging, and release assets

  • Keeping voice and taste intact: Constraints, references, and “what I would never do” rules that prevent generic output

  • Using AI for leverage, not authorship: Research, variations, structure options, editing passes, and production support

  • Ethical sourcing and inputs: What to avoid, what to document, and how to reduce “too close” risk

  • Disclosure and expectations: When transparency is smart, how to communicate it, and how to avoid accidental backlash

  • Lightweight guardrails: Review steps, approval points, and “how we use AI here” norms


Optional Workshop Add-On:

​

  • Workflow design lab: Participants bring a real project (song, visual concept, content plan, or production task). We map the workflow, mark the decision points, and build a clear “AI assist layer” with boundaries, templates, and review steps.


Best For: Musicians, songwriters, producers, visual artists, and marketing/content teams who want AI to speed up creation without sacrificing originality, taste, or credibility.

Pricing:

​

  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

Ready to book a course,

or just want to learn more?

Business

Business, Marketing,
and Industry Strategy

AI is changing the business side of music faster than most teams can react: How content is produced and tested, how campaigns are built and optimized, how fan data is interpreted, how workflows run, and how decisions get made. The organizations and teams that win won’t be the ones chasing every new AI tool. They’ll be the ones who build clear strategy, tight execution, and repeatable operating systems that use AI where it actually helps.

This category focuses on practical advantage: How AI is reshaping the music industry, where it’s already creating real leverage, and how to apply it to marketing, operations, and leadership decision-making without sacrificing brand integrity or getting lost in innovation theater.

You’ll Get:

​

  • A grounded view of how AI is impacting the music industry right now (and what’s likely to occur next)

  • Practical AI use cases for music marketing: Content systems, campaign execution, audience insights, and reporting

  • Operational strategy: Where automation and assistants actually reduce cost and cycle time

  • Leadership lenses: Governance, risk, resourcing, and how to make AI decisions without guessing

  • A “what matters vs. what’s noise” framework for tools, trends, and vendor claims


Available Courses:

The State of AI in the
Music Industry 2026

Guided walkthrough of SquareWave.ai’s white paper: Trends, shifts, impacts, and what’s becoming table stakes

This course is a structured briefing on what has actually changed in the last 12 months across AI and music, and what those shifts mean for creators, teams, and businesses. It follows SquareWave.ai’s forthcoming white paper, translating the key developments into a clear, usable picture of the landscape without turning into a strategy seminar.

The focus is precise awareness: What’s real, what’s inflated, what’s already showing up in day-to-day workflows, and what’s most likely to matter next.

What We Cover:

 

  • The year in AI and music: Major shifts in tools, platforms, and adoption patterns

  • AI music at scale: Growth on streaming/sync and what the data suggests about volume and discovery pressure

  • Business impact (by the numbers): Where AI is changing cost, cycle time, and output capacity

  • Tooling reality: The expanding ecosystem (music-specific and general tools) and what’s becoming baseline

  • Marketing evolution: How AI is shifting content production, testing, and audience insight workflows

  • Legal and policy landscape: What’s actively contested vs. what’s stabilizing, and why it matters

  • Ethical pressure points: Authenticity, trust, disclosure, and the “creative dilution” concern

  • What’s fading: Approaches, technologies, and tools losing relevance

  • What’s emerging: Capabilities likely to gain wider adoption in 2026 and beyond


Optional Workshop Add-On:

​

  • Live Q&A and open discussion: Participants compare what they’ve seen in the last year, surface open questions, and sanity-check what to watch next.


Best For: Label and agency teams, managers, operators, marketers, founders, and leaders who want a current, music-specific AI landscape briefing without wading through hype.

Pricing:

 

  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

AI Marketing in the Music Industry: Deep Dive

Content engines, audience insight, paid/organic workflows, creative iteration loops, and measurement

Music marketing is now a systems game. The teams winning aren’t just “posting more.” They’re building repeatable content engines, tightening feedback loops, social media strategies, and using AI to move faster without wrecking brand voice or creative standards.

This course is a functional, business-focused deep dive into how AI is being used in modern music marketing: Planning, production support, campaign execution, optimization, and reporting. Minimal tech talk. Maximum workflow clarity.

What We Cover:

 

  • Content engines that don’t burn teams out: Idea generation, writing systems, repurposing pipelines, and consistent output across platforms

  • Brand voice and creative direction at scale: Keeping messaging coherent, avoiding generic sludge, and building guardrails that protect taste

  • Creative iteration loops: Faster testing of hooks, angles, visuals, and variants

  • Campaign workflow design: Releases and rollouts, messaging hierarchy, channel planning, and tight execution across stakeholders

  • Audience insight: Turning messy platform data and qualitative signals into usable takeaways and next actions

  • Paid and organic alignment: Using AI to support creative iteration, targeting inputs, and message consistency across channels

  • Measurement that matters: What to track, how to read results, and how to adjust quickly without misreading bad signals

  • Operational acceleration: Briefs, calendars, approvals, reporting, and coordination that reduces cycle time and dropped balls

  • Risk and failure modes: Brand drift, low-quality output, misleading analytics, disclosure considerations, and quality checkpoints


Optional Workshop Add-On:

​

  • Live Q&A and workflow discussion: Participants share current marketing workflows, where AI is helping (or failing), and leave with clearer next steps, ideas for experimentation, and guardrails.


Best For: Marketing leads, social teams, label/artist marketing staff, agencies, managers, and operators responsible for content output, campaign execution, and performance reporting.

Pricing:

​

  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

AI for Leaders and Managers in Music

Non-technical strategic overview: Where AI fits, what to fund, what to avoid, and governance basics

Most leadership teams don’t need more AI tools. They need a clear, non-technical way to make good decisions: Where AI creates leverage, where it’s a distraction, and how to adopt it without creating reputational or operational risk.

This course is built for managers, decision-makers, and leaders in music who want a practical, business-focused view of AI. We translate the current landscape into the things you can actually control: Priorities, resourcing, standards, risk boundaries, and execution discipline. No overly technical deep-dives. Just decision clarity.

What We Cover:

​

  • Where AI fits: the highest-leverage workflows across marketing, ops, release processes, fan engagement, and internal systems

  • What to fund vs. what to avoid: How to spot demo theater, vendor fluff, and initiatives with no adoption path

  • Operating model basics: How AI shifts cycle time, cost, and throughput, and what “success” should look like in real workflows

  • Build vs. buy decisions: When off-the-shelf tools are enough, when customization is justified, and when you should do neither

  • Governance without bureaucracy: Lightweight guardrails for IP and privacy, human review, disclosure norms, and consistency standards

  • Tool and vendor evaluation: The questions leaders should ask, red flags to watch for, and how to run pilots effectively

  • Adoption and change management: Why rollouts fail, how to prevent tool sprawl, and how to drive usage without forcing it

  • What’s becoming table stakes: Capabilities quickly turning into baseline expectations for teams and competitors


Optional Workshop Add-On:

​

  • Leadership clinic: Bring a real initiative (or a vague “we should do AI” idea). We discuss opportunities, identify risks, and help you leave with a short, prioritized next-step plan.


Best For: Label and agency leaders, artist managers, operations leads, marketing directors, founders, product owners, and anyone responsible for budgets, teams, and outcomes.

Pricing:

​

  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

Ready to book a course,

or just want to learn more?

Indie Artists

Independent Artist Enablement

Independent artists don’t lose because they lack talent. They lose because the workload is relentless: Content, planning, release prep, distribution details, fan engagement, admin, and constant context switching. AI can’t replace taste or voice, but it can remove friction, handle repetitive tasks, cover skill gaps, and give you leverage where you’re currently burning hours on low-value grind.

This category is built for real-world indie constraints: Solo operators and small teams with limited time and budget. We focus on practical workflows that actually stick, including faster content output without brand drift, cleaner release operations, better planning and follow-through, and lightweight automation that saves time without turning your work into a tech project.

You’ll Get:

 

  • Repeatable workflows for content, release ops, and day-to-day execution

  • Practical AI use for planning, writing, repurposing, and packaging without generic output

  • “Minimum viable stack” guidance: What to adopt and what to ignore

  • Simple guardrails for voice, quality control, rights risk, and disclosure decisions

  • Reusable templates and checklists so that each release isn’t a reinvention


Available Courses:

AI Creative Tools for
Independent Artists

A lean stack for music, visuals, video, and basic finishing, without needing a team

This course is built for independent artists who want practical creative leverage from AI without turning their process into a tech experiment. We focus on a small, reliable toolkit and a few repeatable workflows that help you generate ideas, develop songs, create visual assets, and finish release-ready materials faster, while keeping your voice and taste in control.

The goal is not “make everything with AI.” It’s to remove friction, speed up output, and help you ship more consistently with the time and resources you actually have.

What We Cover:

​

  • A “minimum viable” creative stack: What to use for lyrics and ideation, music generation, visual assets, short-form video, and basic finishing

  • Practical music workflows: Concept-to-draft, iteration strategy, version control, and simple listening assessment criteria

  • Lyric and writing support: Getting ideas and drafts fast while avoiding obvious AI-flavored lines

  • Visual and video workflows: Cover concepts, promo assets, simple motion content, and fast variation generation

  • Basic finishing realities: Light cleanup, loudness/level targets, mastering tool use, and common pitfalls

  • Packaging essentials: Artwork formats, metadata basics, and a simple “release kit” checklist

  • Guardrails: Voice consistency, quality control, rights/ethics decision points, and when disclosure is wise


Optional Workshop Add-On:

​

  • Workflow build lab: Participants pick one real project (song + promo assets). We build a simple end-to-end pipeline and a reusable checklist, with live tool experimentation along the way, so you leave with a repeatable process, not just ideas.


Best For: Independent artists and small teams who want a practical, low-overhead workflow to create music and release materials faster, without hiring a full team or drowning in tools.

Pricing:

​

  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

AI Marketing for
Independent Artists

Practical systems for content planning, posts, metadata, hooks, captions, targeting, and consistency

This course is built for independent artists who need consistent marketing output without turning promotion into a second full-time job. AI won’t build a fanbase for you, but it can cut the time it takes to plan, write, package, and ship content, while keeping your voice intact.

We focus on simple systems you can run consistently: A lightweight content engine, reusable templates, and feedback loops that reduce guesswork and help you build momentum release after release.

What We Cover:

​

  • Content planning that sticks: Weekly rhythms, release windows, and realistic calendars for solo artists

  • Post generation with voice control: Hooks, captions, variations, and “say it like me” guardrails to avoid generic output

  • Repurposing systems: Turning one idea into multiple platform-ready pieces without copy-paste fatigue

  • Metadata and packaging: Titles, descriptions, tags and hashtags, short blurbs, and platform-specific formatting

  • Fan targeting: Defining audience segments, angles, and messaging that matches the listener you actually want

  • Consistency systems: Brand voice rules, reusable prompt packs, lightweight approval checks, and simple quality control

  • Measurement basics: What to track, how to read signals, and how to adjust quickly

  • Risk and reputation guardrails: Disclosure considerations, brand drift, and avoiding low-quality output


Optional Workshop Add-On:

​

  • Content engine build lab: Participants build a practical content plan for a real release (or current project), plus a reusable prompt pack (hooks, captions, post variations, metadata) that they can run on repeat.


Best For: Independent artists and small teams who want a repeatable marketing system that increases output and consistency without burning out.

Pricing:

​

  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

Ready to book a course,

or just want to learn more?

Visual Creation

Visual Creation

Visuals help music get discovered and remembered. Cover art, promo graphics, short-form video, tour assets, merch concepts, and platform-native content all compete for attention. AI can speed up concepting and production support, but without strong direction it can also create generic sameness and inconsistent output that dilutes your brand fast.

This category is built to make AI useful for real visual work. We focus on practical workflows for generating, editing, and iterating on assets while keeping taste, direction, and final decisions human. You’ll learn how to move faster without turning your visuals into “AI-looking content.”

You’ll Get:
 

  • Practical tools and workflows for image and short-form video that support real releases, campaigns, and touring needs

  • A repeatable creative direction process: Prompts, references, iteration loops, and version control

  • Brand consistency tactics: Keeping style and visual language coherent across assets

  • Production support techniques: Cleanup, upscaling, background/object changes, and fast variations for approvals

  • Rights/ethics and safety guardrails: Similarity risk, training-data questions, and disclosure considerations

  • A simple evaluation method: Quality checkpoints and red flags so you know what to keep and what to drop


Available Courses:

AI Image Generation:
Tools and Techniques

Album art concepts, social content, brand packs, style consistency, prompt libraries, and iteration workflows

This course teaches a practical, repeatable way to generate strong visual assets using AI, without ending up with generic “AI-looking” output. We focus on creative direction, consistency, and workflow: How to go from an idea to usable images you can actually deploy across a release, campaign, or brand.

The goal is faster output without sacrificing taste. You’ll leave with a clean process for concepting, iterating, and locking a visual direction, plus a prompt library structure you and your team can reuse.

What We Cover:
 

  • Tool landscape: What different image tools are best at (generation vs. editing vs. upscaling vs. background/object changes)

  • Creative direction inputs: References, mood boards, style anchors, do/don’t rules, and what “good” looks like

  • Prompting for visuals: Composition, lighting, texture, typography-safe layouts, negative prompts, and constraint patterns that improve consistency

  • Iteration workflow: Generating variants, steering changes, and avoiding the reroll spiral

  • Style consistency systems: Building a lightweight “brand pack” that holds up across covers, posts, banners, and campaign assets

  • Prompt libraries: Reusable templates, naming/versioning, and prompt blocks your team can standardize on

  • Production support: Upscaling, cleanup, background removal/changes, and export-ready prep for designers and platforms

  • Guardrails: Similarity risk, client expectations, disclosure considerations, and basic safety checks


Optional Workshop Add-On:

 

  • Asset sprint lab: Participants pick one real need (e.g. Single cover, a social set, or a mini brand pack). We build prompts live, generate variations, and leave with a usable V1 asset set plus a reusable prompt kit.


Best For: Artists, managers, label/agency marketing teams, designers, and content creators who need faster visual output while keeping a coherent style and professional quality.

Pricing:

​

  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

AI Video Generation:
Tools and Techniques

Clips, lyric videos, short-form pipelines, and practical constraints

AI video tools can generate motion fast. The challenge is getting usable output that matches your song, your brand, and platform realities, without losing hours to artifacts, timing issues, or unusable outputs. This course teaches a practical workflow for creating short-form video assets with AI, then refining them into something you can publish or hand off cleanly to an editor.

The focus is production support, not filmmaking theory: Repeatable pipelines for clips, lyric-style visuals, loops, and campaign assets that look intentional and stay consistent.

What We Cover:

 

  • The current video tool landscape: Generation vs. editing vs. upscaling vs. motion/animation, and what each is actually good for

  • Creative direction for video: References, style anchors, pacing, motifs, and keeping a campaign coherent

  • Prompting for motion: Camera language, continuity, subject consistency, negative prompting, and constraints that reduce randomness

  • Short-form pipelines: Turning one concept into multiple platform-ready

  • Lyric-video workflows: Typography-safe framing, readability, timing, and building loops that don’t look cheap

  • Audio sync realities: What AI can and can’t do, plus practical workarounds for timing, cuts, and beat alignment

  • Iteration and version control: Steering improvements across takes without spiraling into endless rerenders

  • Output cleanup basics: Artifact reduction, stabilization, upscaling, color consistency, and export settings for common platforms

  • Guardrails: Rights and ethics, similarity risk, disclosure considerations, and basic safety checks


Optional Workshop Add-On:

​

  • Pipeline build lab: Participants pick one real goal (e.g. promo clip, loop, lyric-style visual). We test options live, build a repeatable workflow, generate multiple versions, and leave with a V1 asset pack plus a reusable prompt template and checklist.


Best For: Artists, marketing/social teams, content creators, and designers who need short-form video assets for releases and campaigns, and want a workflow that produces usable output without a full production team.

Pricing:

​

  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

Ready to book a course,

or just want to learn more?

Technical Enablement

Technical Enablement
& Automation

Music teams don’t need “more AI.” They need AI that actually plugs into how music work happens: Release ops, marketing pipelines, rights/metadata workflows, internal coordination, and the constant churn of content, copy, assets, approvals, and deadlines. The value shows up when AI becomes part of the system, not another tab someone forgets to open.

This category is built for labels, agencies, managers, music-tech teams, and operations-heavy artist teams who want to operationalize AI. We keep it practical: Assistants that understand your context, automations that remove repetitive work, and lightweight guardrails so outputs stay accurate, on-brand, and safe to publish.

You’ll Get:

 

  • Practical agent/assistant patterns for music workflows (release ops, content ops, internal comms, rights-adjacent admin)

  • Workflow design that holds up in real teams: Clear inputs/outputs, approval steps, human-in-the-loop review, and ownership

  • Guardrails for music-specific failure modes: Brand voice drift, wrong metadata, rights confusion, and “it sounded confident so we posted it”

  • Deployment basics for real orgs: Access control, privacy/IP constraints, tool selection, and maintainability

  • A grounded intro to LLM discovery and what “LLM-readable” content looks like for artists, labels, catalogs, and music-tech products


Available Courses:

Intro to AI Agents
and Assistants

What agents are, what they’re good for, and how to build a simple assistant/workflow

Most “AI agents” talk is either sci-fi or sales nonsense. In reality, an agent is just an assistant with instructions, context, and a job: Take an input, follow a workflow, and produce an output you can trust. This course gives you a clear, non-hype understanding of what agents and assistants can (and can’t) do today, and how music teams can use them to remove repetitive work without creating new chaos.

You’ll learn the core patterns behind useful assistants, then build a simple, practical workflow that fits a real music use case like release ops support, content pipeline support, internal Q&A, or admin coordination.

What We Cover:

​

  • What an “agent” actually is (vs. a chatbot), and the common types: Copilots, workflow assistants, task runners, knowledge assistants

  • Where agents help in music workflows: Release checklists, metadata drafts, internal briefs, campaign support, meeting capture, handoff summaries, SOPs

  • The anatomy of a reliable assistant: Role, instructions, constraints, sources, and “definition of done”

  • Context and knowledge: What the assistant needs to know, what it should never guess, and how to reduce hallucinations

  • Human-in-the-loop design: Review steps, approvals, and “safe-to-ship” checkpoints for music work

  • Simple guardrails: Brand voice rules, metadata accuracy checks, rights/privacy reminders, and escalation triggers

  • Tooling overview: What you can build with common platforms today, and what requires more engineering

  • Deployment basics: Access control, who can use it, where it lives, and how to keep it maintained


Optional Workshop Add-On:

​

  • Build lab: Participants pick one real workflow (e.g. release ops assistant, content assistant, internal knowledge assistant, or admin coordinator). We define the inputs/outputs, write the instructions, add guardrails, and leave with a usable V1 assistant plus a simple operating checklist.


Best For: Label/agency teams, managers, artist teams, music-tech operators, and anyone who wants to move from “we should build an assistant” to a real, working first version without an engineering project.

Pricing:

​

  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

Process Automation with Agents

SOP modernization, ops automation patterns, guardrails, monitoring, and failure modes

This course is for teams who are past “AI experiments” and want real operational leverage. We take the workflows music businesses actually run (release ops, content pipelines, rights-adjacent admin, intake requests, approvals, reporting) and show you how to modernize them with agent-assisted automation without creating a fragile mess.

The focus is durable automation: Clean SOPs, clear handoffs, human review where it matters, and monitoring so “it worked once” becomes “it works reliably.”

What We Cover:

​

  • SOP modernization for AI: Turning messy internal knowledge into clean, automation-ready steps

  • Choosing the right workflows: High-volume, repeatable processes with clear inputs/outputs and measurable “done”

  • Core agent patterns: Intake, triage, draft, review, publish/handoff

  • Common automation functions: Checklists, routing, summarization, enrichment, templated output

  • Guardrails that prevent damage: Approvals, permissions, brand voice rules, metadata validation, rights/privacy checkpoints, and “don’t guess” constraints

  • Failure modes and how to design around them: Hallucinations, stale info, edge cases, tool breakage, and silent drift

  • Human-in-the-loop design: Where humans must stay in control (and where they shouldn’t waste time)

  • Monitoring and quality control: Sampling, regression checks, feedback loops, and “hard stop” triggers

  • Change management: Adoption without chaos, ownership, documentation, and avoiding abandoned automations

  • Tooling overview: Realistic no-code/low-code options, and when you truly need engineering support


Optional Workshop Add-On:

​

  • Automation mapping lab: Participants bring one real workflow (e.g. Release checklist, content approvals, metadata prep, campaign reporting, internal requests). We map the SOP, identify decision points, design the agent-assisted flow, and leave with an implementation outline and guardrail checklist.


Best For: Operations-heavy teams, including labels, agencies, management teams, music-tech teams, and artist teams with recurring pipelines who want automation that holds up under real deadlines and real risk.

Pricing:

​

  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

Custom GPTs and Chatbots

Build an internal assistant for your team: Knowledge base, tone rules, review steps, and deployment basics

This course is for music teams who want a practical internal assistant that actually helps: Answering recurring questions, drafting on-brand outputs, and supporting workflows like release ops, marketing, and catalog/admin work. We focus on assistants that are useful, controlled, and maintainable, not chatbots that sound confident while being wrong.

You’ll learn how to shape a knowledge base, set tone and rules, design review steps, and deploy the assistant in a way your team can trust and actually use.

What We Cover:

 

  • High-value use cases for music organizations and teams: Release ops support, content drafting, internal FAQs, campaign coordination, metadata/admin assistance

  • Knowledge base fundamentals: What to include, how to structure it, what to exclude, and how to prevent stale/conflicting answers

  • Instruction design: Role definition, tone rules, do/don’t boundaries, and “don’t guess” behavior

  • Reliability patterns: Source linking where possible, “ask vs. answer” thresholds, and escalation rules

  • Review and approval steps: Human-in-the-loop workflows for anything external (copy, claims, credits)

  • Safety and governance basics: Privacy and IP constraints, access control, retention considerations, and practical usage norms

  • Deployment basics: Where it lives (chat, internal hub, shared workspace), rollout planning, and adoption habits

  • Maintenance and iteration: Feedback loops, versioning, knowledge refresh routines, and preventing drift over time


Optional Workshop Add-On:

​

  • Build lab: Participants bring a real internal workflow or FAQ set. We define scope, draft the core instruction set, outline the knowledge base, and produce a usable V1 spec.


Best For: Labels, agencies, management teams, music-tech teams, and operations-heavy artist teams that want an internal assistant for repeatable work without risking wrong info, brand drift, or rights confusion.

Pricing:

​

  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

SEO Optimization for
LLM Discovery

How discovery is shifting as audiences use LLMs more, and what “LLM-readable” content looks like

Search is changing. People increasingly ask an AI first, not a search bar, and the content that gets surfaced is often whatever is easiest to parse, trust, and cite. This workshop is an early, practical look at how to make artist/label/catalog content more discoverable in an LLM-shaped world, without pretending that anyone has “the final formula” yet.

We stay grounded in what you can control today: Content structure, clarity, entity signals (who/what/where), credibility cues, and technical knobs like snippet/preview controls and crawler access settings.  

What We Cover:

​

  • How LLM discovery differs from classic SEO: What changes when answers are synthesized instead of clicked

  • LLM-readable content fundamentals: Clean structure, explicit entities, consistent naming, and strong fact hygiene (credits, dates, roles, catalog metadata)

  • Music pages that matter: Artist bios, release pages, catalog entries, press kits, tour pages, and “about the song” context that gets reused

  • Authority and trust signals: How to write so key claims are attributable and less likely to be distorted

  • Technical control surfaces: Indexing/snippet/preview controls, crawler access settings, and what they practically impact

  • What’s still unsettled: What’s moving, what’s durable, and how to avoid wasting effort on fragile tactics


Optional Workshop Add-On:

 

  • Content clinic: Participants bring one page of online content (artist, release, catalog, or product page). We restructure it into a cleaner “LLM-readable” version and produce a reusable checklist.


Best For: Artists/teams, labels, distributors, music-tech teams, and marketers who want their catalog and brand to show up more accurately in AI-driven discovery.

Pricing:

​

  • 3-hour course: $250 per participant

  • 3-hour course + 1-hour workshop: $300 per participant

Ready to book a course,

or just want to learn more?

Crash Courses

Crash Courses & Fast Starts

Sometimes you don’t need another workshop. You need momentum. These crash courses are built to take a team from “we’ve talked about this” to “we shipped something” in a single session, with tight scope, clear steps, and practical outputs you can use immediately.

This category is built for real-world deadlines: A release window, a workflow that’s breaking, a leadership ask you need to answer, or a team that will only adopt AI if it’s instantly useful. The format is hands-on and outcome-driven, with lightweight guardrails so speed doesn’t turn into sloppy output.

You’ll Get:

 

  • A fast, structured path from zero to usable output in one session

  • Practical workflows and templates you can run again next week

  • Clear “keep vs. kill” checkpoints so you don’t waste cycles

  • Minimal tooling, maximum applicability

  • A finished deliverable or a defined V1 system depending on the course


Available Courses:

Build a Custom GPT in 1 Day

A 6-hour Build Day to design, build, and validate a usable internal assistant for a music organization or team

This is a hands-on crash course for music teams who want a custom GPT that actually helps in day-to-day work: Release ops, marketing, catalog/admin, internal FAQs, and coordinated execution. In one day, we go from “we should build an assistant” to a working V1 with clear scope, real source material, tone/rule controls, and a test plan that prevents confident wrong answers.

The focus is practical deployment, not novelty: Useful outputs, clear boundaries, and adoption-ready workflows.

What We Cover:

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  • Use case selection: Choose one high-impact assistant (release ops, marketing copy and approvals, catalog/metadata help, internal knowledge and SOPs, campaign coordination, etc.)

  • Scope and guardrails: What the GPT will do, what it will never do, and “don’t guess” rules for anything factual, rights-adjacent, or publishable

  • Knowledge base setup: What to include, how to structure it, what to keep out, and how to avoid stale or conflicting info

  • Instruction design: Role definition, tone rules, formatting standards, refusal/escalation behavior, and source-first answering where possible

  • Workflow integration: How the GPT fits into real workflows and handoffs (draft, review, approve, ship), not “ask it stuff sometimes”

  • Quality and safety: Test prompts, edge cases, failure modes (hallucinations, brand drift, wrong metadata), and simple QA gates

  • Rollout basics: Who gets access, usage norms, versioning, and how to maintain the assistant after launch


Optional Add-On: Office Hours (60 minutes):

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  • 1-on-1 troubleshooting session scheduled after the course

  • Review outputs, tighten guardrails, patch knowledge gaps, and calibrate behavior based on team feedback


Best For: Labels, agencies, management teams, music-tech teams, and operations-heavy artist teams who want an internal assistant for repeatable workflows without risking messy metadata, brand drift, or “confident nonsense” in anything that ships.

Pricing:

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  • 6-hour Build Day: $600 per participant

  • Optional Office Hours (60 minutes): $80 per participant

Build Your Own AI Agent

A hands-on Build Day to design and ship a simple AI agent that automates a real music-business workflow

This is for music teams who want more than “ChatGPT helps sometimes.” An agent is a workflow with structure: It takes an input, follows rules, pulls the right context, produces consistent outputs, and routes work to humans at the right moments. In one day, you’ll build a usable V1 agent that saves time on repetitive work without creating a fragile or risky automation.

We keep it practical: Lightweight tools, real guardrails, and a workflow your team can actually adopt.

What We Cover:

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  • Agent basics: What agents are, what they’re good for, and what they shouldn’t be used for

  • Pick the right workflow: High-volume, repeatable processes with clear inputs and outputs (release ops, content ops, intake/triage, reporting, internal requests, etc.)

  • Define “done”: Success criteria, quality thresholds, and “stop the line” conditions

  • Design the flow: Steps, decision points, human-in-the-loop review, and escalation rules

  • Context and knowledge: What the agent needs to know, where it gets it, and how to prevent stale or conflicting info

  • Tooling setup: Connecting the agent to docs/templates, forms, calendars, task trackers, or shared folders

  • Guardrails that prevent damage: Permissions, privacy/IP constraints, brand voice rules, metadata validation, and “don’t guess” constraints

  • Testing and monitoring: Test cases, edge cases, regression checks, and how to keep it reliable over time

  • Deployment and ownership: Who runs it, who approves outputs, and how to maintain the workflow after launch


Optional Add-On: Office Hours (60 minutes):

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  • One-on-one troubleshooting session scheduled after the course

  • Tighten rules, fix failure modes, and adjust workflow based on real usage and team feedback


Best For: Labels, agencies, management teams, music-tech teams, and operations-heavy artist teams with recurring workflows who want a practical automation layer without hiring a dedicated engineering team

Pricing:

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  • 6-hour Build Day: $600 per participant

  • Optional Office Hours (60 minutes): $80 per participant

Start Using AI Marketing
Tools Today

A 6-hour Fast-Start Build Day to implement a real AI-powered marketing workflow for music releases and campaigns

This is a hands-on crash course for music marketers who are tired of “we should use AI” conversations. In one day, we turn your current marketing process into a simple, repeatable system that uses AI to speed up things like planning, content creation, repurposing, and reporting, without wrecking brand voice or flooding channels with low-quality output.

The focus is execution: A workflow you can run next week, with templates, guardrails, and a clear cadence.

What We Cover:

 

  • Pick the right campaign scope: One release, one artist, or one campaign cycle

  • Build a content engine: Weekly rhythm, platform mix, and a realistic production plan that matches your team’s capacity

  • Brand voice controls: “Say it like us” rules, do/don’t lists, reference examples, and tone guardrails to prevent generic output

  • Asset production workflow: Hooks, captions, post variants, short scripts, email blurbs, and platform-specific packaging

  • Repurposing pipeline: Turn one core idea into multiple usable pieces across TikTok/IG/YT Shorts, email, and posts without copy-paste fatigue

  • \Approvals and QA: Review steps, checklists, and quality gates so speed doesn’t create reputational damage

  • Measurement that matters: What to track, how to interpret results, and how to adjust quickly without chasing noise

  • Tooling decisions: A minimal, coherent tool stack, plus what to standardize vs. what to keep flexible

  • Risk guardrails: Disclosure considerations, rights-safe content handling, and “don’t guess” rules for anything factual


Optional Add-On: Office Hours (60 minutes):

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  • One-on-one troubleshooting session scheduled after the course

  • Review what happened in real use, refine templates, tighten brand voice controls, and fix the parts that broke under pressure


Best For: Marketing leads, social teams, label/artist marketing staff, agencies, and managers who need a practical AI workflow for consistent output and campaign execution.

Pricing:

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  • 6-hour Build Day: $600 per participant

  • Optional Office Hours (60 minutes): $80 per participant

Generating Songs
Using AI Tools:
An End-to-End Approach

A 6-hour Fast-Start Build Day to take a song from idea to a release-ready package

This is the “finish something real” crash course. In one day, we walk through a complete, practical workflow for creating a song using AI tools, tightening it into a coherent track, packaging it with the assets you need, and preparing it for distribution. The goal is not perfection. It’s a repeatable process that reliably gets you from blank page to a finished release package you can ship or hand off for final polish.

We keep it grounded in real-world constraints: Quality control, basic finishing, metadata, artwork, and clear ethical/rights boundaries.

What We Cover:

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  • Ideation and creative brief: Turn a loose concept into clear direction (style, mood, structure, reference points)

  • Lyrics workflow (with an LLM): Generate, revise, and format lyrics so they sing, not just read

  • Music generation workflow (Udio/Suno-style): Prompt anatomy, iteration strategy, version control, and listening criteria

  • Song shaping: Structure fixes, section variation, and hook strengthening

  • Finishing basics: Practical cleanup, level/loudness targets, light mix decisions, and when AI mastering is “good enough” vs. risky

  • Artwork and visual packaging: Fast cover concepts and export-ready specs for platforms

  • Release prep essentials: Titles, descriptions, credits, metadata, and a simple release checklist

  • Ethics and rights guardrails: Decision points around inputs, originality, disclosure, and avoiding risk


Optional Add-On: Office Hours (60 minutes):

 

  • One-on-one follow-up scheduled after the course, once you've run the workflow in the real world

  • Refine prompts, troubleshoot weak points, tighten the finishing checklist, and set next-step priorities (distribution, content rollout, or handoff to a producer/engineer)


Best For: Independent artists, producers, songwriters, and content-first creators who want a fast, structured path from “idea” to a finished track package, and who care more about shipping consistently than debating tools forever.

Pricing:

 

  • 6-hour Build Day: $600 per participant

  • Optional Office Hours (60 minutes): $80 per participant

Ready to book a crash course,

or just want to learn more?

Custom

Custom & Team
Delivery Options

Sometimes the right answer isn’t a pre-named course. It’s a targeted session built around your role, your workflows, your tools, and your constraints. This category exists for teams and organizations who want training that maps directly to the work they’re actually doing.

These offerings are scoped after a short discovery so we can align on requirements, outcomes, audience skill level, and what “done” means, then deliver a focused session your team can apply immediately.

You’ll Get:

 

  • A session tailored to your goals, workflows, and risk profile

  • Practical outputs where relevant (templates, checklists, prompt kits, workflow maps)

  • Flexible delivery: In-person or virtual, single-team or cross-functional groups


Options:

 

  • Custom Courses (by role or workflow): A tailored course built around your function (marketing, release ops, rights/admin, creative, leadership, etc.) and the exact outputs you need.

  • Guided Workshops (hands-on builds): A build-focused session where your team learns a tool or technique and leaves with a working V1 system (prompt library, assistant, workflow, automation pattern, tool setup, etc.).

  • Guided Discussion Sessions (leadership/ethics/strategy): A facilitated session for alignment and decision-making on AI direction, boundaries, governance, and adoption priorities.


Pricing:

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  • Custom and team sessions are scoped and priced based on your needs: Audience size, topic complexity, level of customization, deliverables, and delivery format (virtual vs. in-person). After a short discovery, we’ll propose a clear scope with a fixed price or a simple day-rate structure so there are no surprises.

Want to learn more about

our custom course options?

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