Hello to all AI music creators. Before I get to my question, a big thank you goes out to you, Jesse, for creating this community and encouraging so many people to start their musical adventure with your YouTube videos. Has anyone here had any experience with Google Flow? How do you rate the quality of the music created there? I must admit, I've been testing this tool for a few days now, and honestly, I've given up on my planned Suno subscription for the moment because Google's solution gives me much better quality tracks. I'm curious to hear what you guys have to say about Google Flow?

Just for inspiration to my fellow Ai Guerrillas. I got paid $473, from a total of the last 3 months, my Jan $40, Feb $60 and Mar $373. It only goes up from here. I am happy with this. But i dont spam, and i dont put out slop. We have to preserve and protect what we are doing. This is not "get rich quick" deal. Take your time.

I’m trying to understand how people are adapting to the new AI music landscape, especially around Spotify, Deezer, TikTok/SoundOn, DistroKid, and platform detection. A few things I keep seeing discussed: 1. AI music may be getting separated from human artists. Some platforms seem to be moving toward stronger AI tagging, reduced algorithmic support, or different credibility signals for real-world artists. 2. AI disclosure may become unavoidable. Distributors are already asking about AI-generated music, vocals, and lyrics. I’m wondering how people here are handling that honestly without hurting reach. 3. Raw Suno/Udio exports may be risky long-term. Are people still uploading raw exports, or are you now post-processing, stem-splitting, remixing, adding real vocals/instruments, or running tracks through a DAW first? 4. Upload behavior may matter as much as the audio. Bulk uploads, similar track lengths, repetitive metadata, and generic artist personas could potentially look spammy to platforms. 5. Artist positioning may need to change. Instead of pretending an AI project is a traditional band, is it better to position yourself as a producer, curator, composer, or creative director using AI tools? What I’m looking for is practical field advice: - Are you disclosing AI usage on DistroKid or other distributors? - Are you changing your mixing/mastering workflow before release? - Are you spacing out uploads differently? - Are you avoiding certain keywords or artist positioning? - Have you seen any real evidence of deranking, takedowns, reduced reach, or royalty issues? I’m not looking for theory or fearmongering. I want to know what is actually working right now from people releasing AI music in the real market. How are you adapting your workflow?

Hey guys — my name is Sergio from the Azores. I’m getting started with DistroKid for an AI music setup and I want to make sure I buy the right plan before uploading anything. My situation: - I plan to run multiple AI artist projects - right now I’m thinking about 8 separate artist names - each artist may end up having many albums/releases What is confusing me is the pricing page. I see that: - one plan allows 1 artist - another allows 2 artists - and the higher tier allows more artist slots My question is: Does DistroKid limit the number of distinct primary artist names I can use based on the subscription tier, and then allow unlimited albums/releases per artist once that artist slot is used? In other words, if I want 8 different artist names, do I specifically need a plan with at least 8 artist slots? I want to confirm that the limit is about artist slots, not about the number of albums I can upload under each artist. Also, for anyone here already doing AI artists at scale with DistroKid: - is Ultimate the right move for this kind of setup? - any mistakes I should avoid before creating all the artist profiles? Thanks.