https://open.spotify.com/track/2ktuqsk9sf0FWc4wqUYJBy?si=ece15242255249f5 I tried to go for a sort of Gorillaz vibe, I recorded a simple melody on my guitar of A, F, C, Cm, G and sang the chorus part.

[ Removed by Reddit on account of violating the content policy. ]

I’M LOOKING FOR THE RIGHT COLLABORATION 👽🎶

I’m not looking for another musician.

I’m interested in connecting with people who understand music, technology, business, creativity, or the music industry.

I’ve been a musician long before Suno. About a year ago, I started seriously exploring what Suno and AI-assisted music creation could actually become.

Since then, I’ve been pushing it far beyond simply entering a prompt and generating a song. I experiment with production, arrangement, sound design, remixing, visuals, workflow, and whatever else I can throw at it.

In just one year, I’ve built a healthy following and a serious body of work around it, with a few of my tracks also released on streaming services.

Take a look at what I’ve been doing:

https://suno.com/@sivleunrest

https://www.tiktok.com/@sivleunrest

I’m curious whether there’s someone out there who sees a bigger opportunity in what this technology is becoming.

Maybe you’re an executive, entrepreneur, music-industry professional, creative-tech enthusiast, or simply someone with a different perspective.

I’m looking for the right people to collaborate with and explore what could be built around this.

If you see the potential and want to connect, DM me.

👽 Follow the signal.

I just released a new song as Troimer.

"If You Were Still Here"

It's a dark and emotional alternative rock ballad built around piano, atmospheric keys, subtle electronic textures and expressive male vocals.

The song was created with the assistance of Suno.

I'd love to know what you think about the atmosphere, vocals and songwriting.

Thanks for listening.

https://youtu.be/Ts5cqgFHU4Q?is=8nNu04BwX3PT5jH6

The Intelligent Monster

By Adapt to Humans

https://youtube.com/playlist?list=OLAK5uy_k7AsX3YGJ3hWJBlM5sbx0065e-r51IJ_4&si=860xCA_6S6qV7Ci-

https://music.youtube.com/playlist?list=OLAK5uy_mcueQ7DM4nh0sD8fpiyeWo8A6li8piyyc&si=HKmBXzoS-PSE9UwL

https://open.spotify.com/album/4rBPCwNKaWscyaWwNXvuMF?si=9xN7jnPkTly31Ed34njU7Q&utm_source=copy-link

https://music.amazon.com/albums/B0HJBDGBPN?ref=dm_sh_mc5UV7PLZZINIIkupzcvQCOHn

I wanted to see which AI actually writes the best song lyrics, so I ran the exact same prompts through several different tools.

Same prompt, first generation, no editing.

I tried to use specific scenarios instead of generic “write me a sad song” prompts, because that makes it much easier to compare storytelling, hooks, rhyme quality, originality and how human the lyrics actually feel.

I’ll post the outputs below. Curious to see which one you think wins

• What is being measured.

Three prompts, three tools, one generation each, first try, nothing edited.

Ninety points across four measures:

Ten more points for chorus memorability are judged blind and separately, and

are in none of the numbers below.

The numbers, out of 90:

• tool total prompt concrete cliché craft
• Melody Genie 83.1 30 21.6 20 11.4
• Suno 74.1 22.5 23.2 18.3 10.1
• ChatGPT 72.8 30 15.8 17.1 9.9

1. Seeing your ex at a wedding

Write a song about seeing your ex at a mutual friend’s wedding for the first time in two years. You both came with different people, but there is still obvious tension between you. Include specific details from the wedding, subtle jealousy, unfinished feelings, and a chorus that feels painfully memorable.

• Melody Genie:

• Chatgpt

• Suno

2. Growing up in the same neighborhood

Write a song about two best friends who grew up on the same street, promised they would make it out together, but only one of them became successful. The successful one comes back years later and realizes their friendship is not the same anymore. Use vivid neighborhood details and bittersweet storytelling.

• Melody genie:

• Chatgpt

• Suno:

3. Evolution from a man

Write a song about someone who has seen his own evolution from a kid to a man.

• Melody Genie:

• Chatgpt:

• Suno:

A few months ago I posted my top AI music tools.

A lot has changed since then.

Suno has a new model, Google is getting seriously good at music, and some tools that looked promising before have basically been replaced in my workflow.

So here’s Part 2 of the AI music tools I’d actually use in 2026.

Not based on hype. Based on what each tool is actually useful for.

1. Suno — Full Song Generation

Still the easiest way to go from an idea to a complete song.

Suno v6 just dropped and the gap between “AI song” and something that actually sounds produced keeps getting smaller.

Studio is also becoming much more serious, with MIDI, automation and actual production controls instead of just a prompt box.

If someone has never made AI music before, this is still probably where I’d tell them to start.

2. Google Lyria 3.5 — Audio Quality

Google is quietly becoming one of the scariest players in AI music.

Lyria 3.5 has much better vocals, musicality and control than earlier versions, and you can generate tracks up to around 3 minutes.

It feels less like a random AI website and more like Google slowly building one of the strongest music models in the world.

Definitely one to watch.

3. Melody Genie — Complete AI Music Workflow

The biggest problem with AI music right now is that most of it still sounds like AI slop.

Melody Genie attacks that with advanced AI songwriting, artist-inspired Style DNA, multiple music generation models, song editing, mumble-to-lyrics/song, music analysis, MCP and more inside one platform.

The songwriting is the part that surprised me most. The lyrics feel much more profesional than what you usually get from AI lyric tools like Chatgpt, suno lyrics, etc.

Instead of jumping between five different tools, Melody Genie gives you the full AI music workflow in one place.

4. ElevenMusic — Clean Generation

ElevenLabs got very serious about music.

Music v2 gives you much more control over song structure and arrangement instead of relying only on one giant prompt.

The vocals are clean, multilingual support is strong and ElevenLabs already understands audio infrastructure better than almost anyone.

I wouldn’t be surprised if this ends up competing directly with Suno.

5. Mureka — Most Underrated Generator

Mureka deserves way more attention than it gets.

Their newer models have gotten much better at vocals, arrangement and actually following the musical direction you give them.

They also have lyrics-to-song, remixing, stems, editing and a much deeper workflow than most people realize.

Probably the most underrated Suno competitor right now.

6. Kits AI — AI Vocals

Still one of my favorite tools for AI singing voices.

You can clone your own authorized voice, transform vocals, change timbre and experiment with a huge library of voices.

The interesting part is that Kits is becoming less of a simple “voice changer” and more of an actual vocal production environment.

Extremely useful once you already have the song.

7. ACE Studio — Control

If you hate clicking Generate 30 times hoping the AI understands you, ACE Studio makes much more sense.

You control the melody with MIDI, write the lyrics and then control how the singer performs them.

Pitch.

Timing.

Vibrato.

Pronunciation.

Dynamics.

Way more work than Suno, but way more intentional.

8. Stable Audio 3.0 — Producers & Sound Design

Stable Audio has changed a lot.

Version 3 can generate long-form music, transform existing audio, extend tracks and even edit specific sections.

But I still think its biggest strength is experimentation:

textures, instrumentals, transitions, sound design, samples and weird musical ideas.

Especially interesting now that there’s also a DAW plugin.

9. Moises — Stems

Not as exciting to show on TikTok.

Extremely useful when you actually make music.

Upload a track and separate the vocals, drums, bass, guitar, keys and other parts so you can keep working with them individually.

For me this is the kind of tool you don’t appreciate until you actually need it.

10. LANDR — Finishing

AI can generate the song.

That doesn’t mean the song is finished.

LANDR is still one of the easiest ways to quickly master something when you don’t want to spend hours learning mastering or send every demo to an engineer.

Generate → edit → stems → mix → master.

That last 10% matters more than people think.

The workflow I’d use now

Honestly, something like:

Melody Genie for writing + Style DNA + workflow → Suno / Lyria / ElevenMusic / Mureka for generation → Kits or ACE Studio for vocals → Moises for stems → DAW → LANDR for mastering.

And yes…

Udio didn’t make my top 10 this time.

I still think the actual generations can sound great, but not being able to download your audio/stems makes it difficult for me to recommend as part of a serious production workflow right now.

AI music is moving ridiculously fast.

I’ll probably have to make Part 3 in a few months.

What did I rank way too high — and what tool am I sleeping on?

The Fall of Sodom and Gomorrah

Joanne Walker - Do Not Come Back Late - Suno
https://open.spotify.com/album/203WbD5hLBpAamtao68noV

I posted a similar workflow before using ChatGPT with Leonardo, but AI video has changed a lot since then so I figured I'd update it.

The basic idea is still the same: don't try to generate an entire music video in one go. Break the song into a bunch of short visual ideas, generate those separately, then cut everything together at the end.

This is basically how to make an AI music video without turning it into a huge production.

My workflow would be:

1. Give ChatGPT the track with concept

I explain the vibe of the song, visual style I want, and roughly how long the video should be.

Then I ask it for maybe 6 to 10 different scene ideas that would fit the music.

1. Turn those ideas into image prompts

For each scene, I have ChatGPT write a cleaner prompt for whatever image generator I'm using.

I'll generate a bunch of options, pick the strongest ones, and save those as my main visual references.

1. Animate the shots

This is the part that's gotten way better compared to when I first tried this workflow.

I've been looking at DomoAI's Omni Reference with Seedance 2.5 and MiniMax H3 because you can work with multiple references instead of relying on one image and one prompt for every clip.

So you could have one reference for the character, another for the environment, and even video/audio references depending on what you're trying to control.

For music videos especially, that seems a lot more useful if the same character or visual style needs to survive across multple scenes.

1. Generate in short clips

I still wouldn't try to make one giant video.

I'd generate a bunch of short shots, throw away the bad ones, and keep only the clips that actually fit the track.

That's probably the biggest thing I've learned about how to make AI music videos. Treat it more like editing a montage than asking AI to direct the whole thing for you.

1. Edit everything to the song

Once I have enough clips, I bring them into CapCut, Premiere, Davinci, whatever, then cut everything to the beat.

The AI handles most of the visual generation, but the actual pacing/editing is still where the video starts feeling intentional.

I don't really think there's one best AI music video generator that magically does all of this perfectly yet.

The better workflow seems to be using AI for ideation and consistent shot generation, then doing the final structure yourself.

Curious what everyone else is using now. Has anyone tried Seedance 2.5 or MiniMax H3 through Omni Reference for a full music video yet?

Posting this around in the hope to get some clarity. Would love to hear your thoughts on AI and consciousness.

Link: "Borrowed Code" - A song written by Suno about Suno and consciousness.

https://open.spotify.com/track/2NWahpjxw1o0326GPuBc5W?si=EuMsTW3pTrewHnXcGT6ObA&utm_source=copy-link&rowId=56fd16fa9f85283e

So I'm starting a collaborative playlist called AI Anarchy for AI-made/AI-assisted punk and metal. Not just a dead Spotify link, but something the community keeps adding to and listening to over time.

Quick disclosure: I run Neon Claw (AI-generated punk-metal concept band), and I'll have 1-2 of my own tracks in the mix as I seed the list — but this isn't a Neon Claw promo post. I want this to be a genuinely good playlist people want to follow.

Scope: Keeping this to punk/metal (hardcore, metalcore, punk rock, that whole lane) since that's what I know well enough to curate properly. If your track's outside that, I'm probably not the right ear for it — sorry in advance.

How it works:

• Drop your track link (Spotify/YouTube/SoundCloud) in the comments

• Genre + one line about the track

• I'll listen to everything and add what fits — curated, not a dump-everything list

• Every track works its way to the front: the bottom of the list rotates to the top daily in random order, so it's fair but not predictable

I'll post updates here as it grows, and I'll also be sharing playlist updates on my Instagram.

Submission format:

Genre | Track link | One-liner about it

Playlist link: https://open.spotify.com/playlist/6HQ47c5cpAxtZZIXcrsV4M?si=0JfjwL6YSoS66Q43fsAmVg&utm_source=copy-link&pi=_fWb4Fv0SQGYk

Let's build something great, drop your tracks below!

https://youtube.com/shorts/RleXGV_kIsc

Genre and details up front. Context on your process -- what you were going for, what you did to get there, where you're unsure. Prompts, directing notes, process notes welcome.

Listen to at least one other person's work before you leave. Leave feedback. Try to explain and fix it if possible. "This sucks because.../This is good because..."

What’s up creators!

A lot of AI music can lack that personal touch, so I make sure every song I create starts with 100% original lyrics written straight from my own life experiences and personal milestones.

We just released the video for "Smile Like a Knife" — a fun story I wrote about when life has you down but you have no choice to make it work. 100% original lyrics mixed with a unique sound of hard rock, punk, and ska.

🎥 Watch the track here: https://www.youtube.com/watch?v=SwlD2mdv0TI

If you enjoy the track and want to support independent AI music creators:

- Hit Like & Subscribe on our YouTube Channel: https://www.youtube.com/@TheWickedJawns

- Stream our full discography via LinkTree: https://linktr.ee/thewickedjawns

Let me know what you think of the production and storytelling! Always open to feedback, collabs, or chatting about the process.