Publications
Guides, courses, and work samples.
Practical material on putting AI to work in the music industry: Guides you can act on, courses that go deeper, and examples of the work we do.
12 Tasks Every Music Business Is Still Doing by Hand (and Shouldn't Be) & The SquareWave.ai “Is Your Music Business AI-Ready” Self-Assessment
Twelve everyday tasks that most music businesses still handle manually, from artist bios and EPKs to venue research, pitch emails, inbox triage, and metadata tagging. Each one comes with the AI approach that replaces it and a realistic sense of what setting it up actually takes. Paired with the “Is Your Music Business AI-Ready?” self-assessment, which scores where you stand today and points you at the places worth starting.
Beyond Prompt Engineering: Why Context Engineering Is the New Best Practice
Prompt Engineering is where most people start, but when you are trying to get the best results out of AI tools, it is not where the leverage is. This recorded course covers how AI models actually work, the prompt patterns that genuinely matter, and then the shift that changes your results: Engineering everything the model sees in the full Context Window, rather than just the instruction you type.
Practical AI Opportunities for Star North
An anonymized example of a real SquareWave.ai work product. We identified how AI could realistically help an established artist in their business, creative output, and fan engagement without compromising their art. We identified twelve practical opportunities across creative, marketing, operational, and fan-engagement work, scored each on effort, benefit, and risk, and sequenced them into a phased roadmap with a clear set of first steps.
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