u/ObjectivePresent4162

I recently came across this survey on how music producers actually view and use AI music tools. I think it pretty interesting so wanted to share.

It was commissioned by Sonarworks and conducted by Sound On Sound. Over 70% of respondents are working professionals with more than a decade of experience, so it feels fairly credible and representative.

Current usage: About one in five are already regular AI users, nearly half are in the experimental stage, and fewer than 20% have no interest in AI at all.

Biggest concerns: Over a third worry that using AI would compromise their creative identity. Almost as many have ethical concerns,  particularly regarding copyright and training data legalit. And more than a quarter feel current AI tools do not yet meet professional quality standards.

Where they're most open to AI: Close to three-fifths are on board with AI handling repetitive technical tasks like vocal tuning, drum editing, and file management. Acceptance drops significantly when it comes to AI making creative decisions.

Views on the future: Only 3.6% think AI is a passing fad, and nearly a third believe it's already revolutionizing the industry. 58% see AI eventually settling into a supportive role, with humans keeping creative control.

The part I found most interesting: Jazz, blues, and classical music are seen as the hardest genres for AI to replicate, while EDM and mainstream pop are considered the easiest for AI to generate and replicate.

https://www.soundonsound.com/music-business/ai-music-tech-2026

I've noticed is that a part of the disappointment and pushback against AI comes down to job anxiety. Graduates worried they can't find work because of AI, companies laying people off and attributing it to AI.

If the job market were in good shape and AI genuinely wasn't threatening anyone's livelihood, would most people's views on AI change?

While making AI music, I noticed a different type of AI music tool: AI music agents. These are collections of LLM+ Music Generator.

What it does: Generate and refine music through conversation.

How it works: Users describe their ideas using natural language → Agent intelligently interprets their creative intent to generate musical compositions → users preview and refine through dialogue.

I've used almost every AI music agent on the market: Producer.ai (now been renamed Google Flow Music), Tunesona, Songagent, Tunee, SongGPT, Wondera.ai, MixAudio, and Musixmatch.

Producer.ai

It has the best audio quality of all the music agents I used in my opinion. Generation speed is also the fastest. Context memory is excellent too. For example, when I selected option 3 from its suggestions, then later wanted to pair those lyrics with the style from option 2, it understood quickly and provided the right result.

Best of all, when recommending styles, it shows songs created by other users in the corresponding style. A nice touch.

But it burns through credits pretty fast. Honestly, it still doesn't quite match its predecessor Ruffsion. And its model has now changed so no longer as effective to use.

Tunesona

It offers multiple ways to generate music: chat, upload audio, or use custom mode. I really like its recently updated next step guided feature. For example, after generating a male vocal track, it proactively asked if I wanted a female vocal version. Super convenient.

I also think context memory is crucial for an agent, and Tunesona handles this well. It remembers what I say: when I edited some lyrics and told it to keep the previous style, it executed that immediately. Before generating anything, it lays out the full plan for me, like BPM, vocals, and so on. And I can tweak it before confirming. That gives me a lot more control over the final output.

Audio quality is also quite good, between Suno v4.5 - v5. However, it has limited features: lacks cover, remix, and mashup. I personally think it's more suitable for beginners.

Songagent

I like using it for quick inspiration. It offers a lot of creative directions. For example, when I asked for style recommendations, Producer.ai & Tunesona only gave 3 options, but it gave 5.

It can also generate a lot of songs at once. I generated a full 10-track album in one go, with each song based on the album's core concept. If you want to quickly rapid creative ideas or bulk generation, it's great.

Audio quality is between Suno v3.5-v4 in my opinion, the arrangements are not great. Its functions are also limited and comprehension ability is poor. For example, even when I say I don't like the lyrics, it still recommends styles. Doesn't feel like an agent at all, more like a traditional generator.

I've been using Mureka seriously ever since someone recommended it to me. With the V9 update just dropping, here's my honest take.

The vocal improvement in V9 is significant: breathing, vocal tails, and emotional delivery all feel a lot more natural. The overall mix is cleaner too, with noticeably better separation between drums, bass, and the main melody. Of course, it still don't quite match the realism and naturalness found in Suno or Udio.

The credits burn through really fast though so the value for money doesn't come close to Suno. And the Cover feature is pretty inconsistent too (honestly I haven't found a cover tool that really nails it yet).

Its vocal system is similar to Suno, I can upload own voice as a model. Probably because it also has TTS, the voice cloning is actually pretty solid.

But the thing I think is most worth paying attention to is Agent Studio. It's not prompt-based creation, literally chat with AI and adjust the structure. Even the Easy mode has switched to a conversational format now, giving me options to choose from along the way.

What's interesting is that Suno previously launched a chat feature in beta (Although it has now closed), and MiniMax is building out its agent ecosystem too. There are also tools that were built around conversational creation from day one, like Tunee and Tunesona. Feels like the agent direction is going to be the next major trend for AI music tools.

I saw a lot of people ran into this today: Uploaded audio matches existing work of art.

Suno staff responded on Discord. If this happened, you can fill out the form.

https://preview.redd.it/abrr7wk9zs1h1.png?width=1513&format=png&auto=webp&s=a1c365cef068cd33234c42e86f930d5ed5225f92

https://forms.gle/bwJyV18WM2ynYLwY6

Personally, I switch between several tools depending on my needs. Some are better for specific genres, others have features the rest don't.

My last post focused on the first 3 music agents. Today I'm covering the rest.

Tunee 

It offers many models to choose from, but I prefer Murekav9, its self-developed Tempolor model isn't as good. (But in the previous post, a friend pointed out that the models provided by Tunee are all fake.)

They're really fast at adding new models though, like Murekav9 and Lyria 3 pro. Its feature is comprehensive, can generate MV (use the latest seedance2), cover, and get stems. I like its conversational style, feels more natural than other music agents.

But it struggles with understanding sometimes. For example, when I wanted to keep the lyrics but use the style from option 1, instead of just generating it, it told me it can't modify songs and I'd need to input it manually. The cover and stem extraction features aren't fully polished either.

SongGPT

Response time is really slow. At first it completely misunderstood what I was saying. I asked it to recommend some styles and it immediately generated songs. Took me some tries before it actually gave me style recommendations. That said, it does offer the most options out of all these agents.

I appreciate that after I make a selection, it asks what I want to do next, because I personally prefer going from style→lyrics→demo→full song. Most other agents generate songs directly after I select a style.

But the site frequently crashes, making it very inconvenient to use. The responses feel pretty robotic too, and features are limited. Quality is mediocre. Won't be using this one again.

Wondera.ai

Offers the most generous credits among all agents with free users get 2000 credits per week, and pricing is pretty affordable. But creating one song costs 200+ credits... Understanding is decent though. still chose to retain the lyrics and let it generate a song in another style, and it responded quickly. It has a relatively rich set of features, can generate MVs and separate stems.

But the MV feature is way worse than Tunee's, it just keeps repeating the same visuals. I think the audio quality is close to Sunov 3.5.

MixAudio

I applied to join the waitlist but it keeps failing.

Musixmatch

I can't open it at all, keeps showing network errors.

I've been using Mureka seriously ever since someone recommended it to me. With the V9 update just dropping, here's my honest take.

The vocal improvement in V9 is significant: breathing, vocal tails, and emotional delivery all feel a lot more natural. The overall mix is cleaner too, with noticeably better separation between drums, bass, and the main melody. Of course, it still don't quite match the realism and naturalness found in Suno or Udio.

What I really like is the editing. Not only can extend songs but also regenerate specific sections without starting over.

Its vocal system is similar to Suno, I can upload own voice as a model. Probably because it also has TTS, the voice cloning is actually pretty solid.

But the thing I think is most worth paying attention to is Agent Studio. It's not prompt-based creation, literally chat with AI and adjust the structure. Even the Easy mode has switched to a conversational format now, giving me options to choose from along the way.

What's interesting is that Suno previously launched a chat feature in beta (Although it has now closed), and MiniMax is building out its agent ecosystem too. There are also tools that were built around conversational creation from day one, like Tunee and Tunesona. Feels like the agent direction is going to be the next major trend for AI music tools.

While making AI music, I noticed a different type of AI music tool: AI music agents. These are collections of LLM+ Music Generator.

What it does: Generate and refine music through conversation.

How it works: Users describe their ideas using natural language → Agent intelligently interprets their creative intent to generate musical compositions → users preview and refine through dialogue.

I've used almost every AI music agent on the market: Producer.ai (now been renamed Google Flow Music), Tunesona, Songagent, Tunee, SongGPT, Wondera.ai, MixAudio, and Musixmatch.

Producer.ai

It has the best audio quality of all the music agents I used in my opinion. Generation speed is also the fastest. Context memory is excellent too. For example, when I selected option 3 from its suggestions, then later wanted to pair those lyrics with the style from option 2, it understood quickly and provided the right result.

Best of all, when recommending styles, it shows songs created by other users in the corresponding style. A nice touch.

But it burns through credits pretty fast. Honestly, it still doesn't quite match its predecessor Ruffsion. And its model has now changed so no longer as effective to use.

Tunesona

It offers multiple ways to generate music: chat, upload audio, or use custom mode. I really like its recently updated next step guided feature. For example, after generating a male vocal track, it proactively asked if I wanted a female vocal version. Super convenient.

I also think context memory is crucial for an agent, and Tunesona handles this well. It remembers what I say: when I edited some lyrics and told it to keep the previous style, it executed that immediately. Before generating anything, it lays out the full plan for me, like BPM, vocals, and so on. And I can tweak it before confirming. That gives me a lot more control over the final output.

Audio quality is also quite good, between Suno v4.5 - v5. However, it has limited features: lacks cover, remix, and mashup. I personally think it's more suitable for beginners.

Songagent

I like using it for quick inspiration. It offers a lot of creative directions. For example, when I asked for style recommendations, Producer.ai & Tunesona only gave 3 options, but it gave 5.

It can also generate a lot of songs at once. I generated a full 10-track album in one go, with each song based on the album's core concept. If you want to quickly rapid creative ideas or bulk generation, it's great.

Audio quality is between Suno v3.5-v4 in my opinion, the arrangements are not great. Its functions are also limited and comprehension ability is poor. For example, even when I say I don't like the lyrics, it still recommends styles. Doesn't feel like an agent at all, more like a traditional generator.

Personally, I think it should. Any AI music I upload to YouTube I label as AI-generated. Because it is indeed AI music, and everyone has the right to be informed.

As for how to apply these labels, I think it might make sense to break it down by production stage, like vocals, instrumentation, mixing, mastering, etc. Each stage could have 3 options: fully AI, AI-assisted, or no AI.

I recently saw that MiniMax released Music 2.6, so I decided to put it to the test and share my honest thoughts.

AI Cover is the headline feature this update. Suno's cover function has always been kind of underwhelming, so I was curious. The samples on MiniMax's official site sounded genuinely impressive. I tried converting a pop track into electronic, the result was decent, but didn't quite match the demo quality.

What interests me most are the 3 open-source music agent skills they have released: minimax-music-gen, minimax-music-playlist, and buddy-sings. And theyve added a free daily quota of 100 songs in their token plan. It got me thinking about Suno's chat feature and the tools I've tested before like producer.ai (now is google flow music), tunee and tunesona, feels like more and more AI music tools are moving in the agent direction.

But since this is a Chinese model, English can be inconsistent, such as pronunciation gets a bit off sometimes. That still needs work.

Personally, I switch between several tools depending on my needs. Some are better for specific genres, others have features the rest don't.

I recently saw that MiniMax released Music 2.6, so I decided to put it to the test and share my honest thoughts.

AI Cover is the headline feature this update. Suno's cover function has always been kind of underwhelming, so I was curious. The samples on MiniMax's official site sounded genuinely impressive. I tried converting a pop track into electronic, the result was decent, but didn't quite match the demo quality.

What interests me most are the 3 open-source music agent skills they have released: minimax-music-gen, minimax-music-playlist, and buddy-sings. And theyve added a free daily quota of 100 songs in their token plan. It got me thinking about Suno's chat feature and the tools I've tested before like tunee and tunesona, feels like more and more AI music tools are moving in the agent direction.

But since this is a Chinese model, English can be inconsistent, such as pronunciation gets a bit off sometimes. That still needs work.

Personally, I think it should. Any AI music I upload to YouTube I label as AI-generated. Because it is indeed AI music, and everyone has the right to be informed.

As for how to apply these labels, I think it might make sense to break it down by production stage, like vocals, instrumentation, mixing, mastering, etc. Each stage could have 3 options: fully AI, AI-assisted, or no AI.