Most AI music creators don’t fail because they can’t generate good songs. They fail because the process breaks after generation. Common problems I see: • the best prompt gets lost• versions get messy• creators don’t remember which take was strongest• the song never reaches a “finished” stage So even good songs die in the folder. 🐝 The real shift AI music gets way easier when you treat it like a process: Generate → Save → Compare → Refine → Release Instead of: Generate → Regenerate → Regenerate → Forget Simple habit that changed everything for me The moment I get a good version, I immediately: • save the prompt• label the version clearly• note why it’s strong This alone helped me finish more tracks than any new prompt trick. ⚠️ Beginner trap Chasing “one more generation” instead of improving the strong one you already have. ✅ Creator takeaway Good AI music comes from: Clear prompts + version control + refinement Not endless regenerating. How do you currently keep track of your versions — or do they get messy like mine used to? 👇

Welcome! 👋This community is about building real AI music projects — not just random generations. Take 1 minute to introduce yourself so we can support each other better. Copy and fill in: Name / creator name: AI music tool you use (Suno, etc.): Main genre or style: What you’re working on right now: What you want help with most: Link to a track (optional): I’ll start in the comments 👇

When you type a prompt into Suno, you’re not just asking Suno to make a song. You’re giving it instructions. Meta tags are simply the words that tell Suno: • what style of music to create• what emotion to focus on• how the vocals should sound• how the song should flow Think of them as musical directions — not random keywords. ❤️ Why love songs are a great example Love songs exist in every genre: Pop love songsAfrobeat love songsCinematic love themesWorship love songs The genre sets the music style.The meta tags guide the feeling and performance. 🎵 Simple example Instead of just writing: Love song Try guiding Suno like this: Pop, romantic, emotional, soft female vocal, slow build, heartfelt chorus Now Suno understands: • the genre• the emotion• the vocal style• the flow ⚠️ Common beginner mistake Using only genre names and wondering why songs feel random. Genre tells Suno what kind of music.Meta tags tell Suno how it should feel and perform. You need both. ✅ Beginner takeaway Think in terms of: Genre + Emotion + Vocal style + Flow This alone will dramatically improve your results. 👉 If you’d like to actually try this with a guided beginner-friendly workflow (saving prompts, tracking versions, and building a love song from start to release), I put together a free Love Song Challenge here:https://jackrighteous.com/blogs/news/create-a-love-song-this-week What emotion do you enjoy creating most right now — love, joy, sad, epic, peaceful, or hype? 👇

Not every Suno song has the same purpose. A short-form clip needs a hook fast. A story or cinematic track may need mood and build. Early drafts are different than late-stage finals. So this is my general all-purpose workflow, then I adjust the weighting based on the goal. ✅ Scorecard (0–3) - Hook hits in 10–15 seconds (1) - Vocal fits genre/emotion (1) - Build or flow isn’t flat (1) 🎯 General rule - 0–1: regenerate - 2–3: save + refine ⚖️ Purpose weighting (pick one) - Social/short-form: Hook = 2 points - Story/cinematic: Build/flow = 2 points - Vocal testing: Vocal fit = 2 points 🧪 Stage filter - Early stage: keep versions that nail the style even if lyrics or structure need work later - Late stage: only keep versions that are already close to release-ready 🚫 Instant regenerate red flags - vocal clearly wrong for the genre - awkward or unstable groove - hook never arrives 🛠 What “refine” means (simple)Once it’s a keeper, I stop chasing perfect generations and start improving it using Suno’s Song Editor or controlled variation like Remaster. Question: What do you weight most right now — Hook, Vocal, or Build? 👇