The chorus lift is my benchmark. Does the energy actually rise, with added layers and a wider mix, or does the ai music maker just get slightly louder? Real arrangement dynamics are hard for models and easy for a trained ear to spot.
Loopability is a specific skill these tools rarely advertise. For a background bed under a voiceover, I need the last bar to flow into the first. Ask your ai music maker for a seamless loop and check the join in an editor.
Look at what happens to your old generations when you cancel. Some platforms delete your library or revoke the license. Before you build a catalog on any ai music generator, confirm the tracks stay yours after you stop paying.
I keep a spreadsheet: prompt, tool, keeper or not, and why it failed. After fifty rows you see which ai music generator fits your genre. Opinions in threads like this are useful, but your own failure log is the only data that matches your workflow.
A small detail that saves time: does the tool report key and tempo with each export? Detecting it manually across fifty tracks is tedious. An ai music maker that writes this into metadata makes library management much easier.
Structure markers in the prompt improve results dramatically. Labeling intro, verse, chorus, and outro gives the ai music maker a skeleton to fill. Without them, most tools wander. It is the single biggest improvement I found in my own prompting.
