The One-Platform Trap: What We Found Testing Mureka

There's a trap that doesn't look like a trap. It looks like expertise.

The creator who's spent six months mastering Suno — knows the syntax cold, built Personas, genuinely good at it — and has never opened another platform. The deeper your expertise in one tool, the more invisible its blind spots become.

In this episode we break down the One-Platform Trap and what we actually found when we took Mureka V8 into the lab.

In Red Lab Protocol #5, we ran 27 tracks across 9 tests on three platforms blind. Mureka earned three perfect 10/10 human emotional impact scores. Suno earned zero. The platform most creators haven't opened is the one winning the human ear test.

We also cover five things that surprised us testing Mureka V8 — including why "no drums" often produces more drums, why the first three words of your prompt set the lens for everything that follows, and the spectral dark issue that makes Mureka tracks sound dull out of the box (and the 30-second fix).

What's covered:

• Why platform lock-in is by design — and how your expertise becomes a cage
• The RLP #5 blind test results and what they mean for your workflow
• Five Mureka V8 discoveries from documented lab testing
• The hybrid workflow: when to use Suno, when to use Mureka, and how to own the master

One platform is a skill. Two platforms is a strategy. Three platforms is a studio.

Get Unlock Mureka ($8.99): https://www.jgbeatslab.com/store/p/unlock-mureka-the-producers-guide-to-generative-audio-plus-fader

Red Lab Access — full research library including RLP #5: https://www.jgbeatslab.com/red-lab-access

JG BeatsLab — Lane 2. Human-authored, AI-assisted.

If you're serious about AI music and ready to stop guessing — Red Lab Access is the complete system. Every book, every guide, every research report, all future releases included. One price. Lifetime access. jgbeatslab.com/red-lab-access

Red Lab Access is the complete system for serious AI music creators. Five books. Four guides. Five blind-tested research reports. Fourteen genre Blueprints. The 3-Song Sprint course. Fader your AI Studio Manager. And a private community of creators who are actually building. Hundreds of members across ten plus countries. One price. Lifetime access. Everything future included automatically. jgbeatslab.com/red-lab-access

New episodes of the AI Music Revolution drop every Friday, and most Tuesdays. Everything mentioned in today's episode is at jgbeatslab.com. Links in the show notes.

Transcript

Speaker 0:30

Hello and welcome. This is Josh from JG Lab. Welcome to the AI Music Revolution. For this episode, we're going to really talk a lot about platforms and platform diversification. You know, it's really, I view it as a trap that doesn't really look like a trap, but it is. It feels like expertise, I get it, but you are really putting yourself at risk if you are only learning one platform. And what do I mean by a platform? What I'm talking about here is just AI music creation engines like Suno or Murika or Producer.ai or whatever that engine is that you're using. Most people use Suno these days. So let's think about this. Think about a paint this picture of a guy or a gal who is all in on Suno. They understand all the nuances of Suno. They spent six months mastering it. They could tell you all about the different syntax with Suno. They've built a library of personas. They're really just excellent at Suno Studio. They understand all the new bells and whistles that come out. They're just generally good at it. But they've never opened another platform. Well, they're at risk. This is a big risk. The deeper your expertise is in one tool, the more invisible to blind spots you become. There's a lot of things that other tools do better than Suno, as an example. Now, by all means, I love Suno. I spend most of my time in Suno, so this is definitely not a bashing Suno session. But we have tested these tools inside of the lab, and I have seen firsthand and heard firsthand how some of these tools are simply better than Suno in different areas. Suno Industry Leader, it's my favorite, it's the one that I use the most. But I'm open to all the other tools as well. So we've taken these tools into the lab and we've tested, we've pressure tested. Recently, we did a test with Eureka, 11 labs, and Suno. We put them all three head-to-head. And we found a lot of very surprising results that we're going to get into here in this episode today. But first, let's go deeper into the one-platform trap, shall we? So the lock-in of these tools is by design. And what do I mean by the lock-in? What I mean is they want these tools want their product to be as sticky as possible, to make your effort needed to switch out of that tool into something else greater than the rewards of that switch. So take Suno for an example, the personas. This is a great one because you build your persona inside of Suno. That helps keep you stuck inside of Suno. Murika, they have their own vocal models, but those vocal models stay inside of Mureka. So you can't pull and blend this expertise. You have to be inside of their software, inside of their system to utilize these tools, to utilize these benefits of those tools. And good on them. I'm not criticizing them for this. But us as music creators, we have to understand that risk that we are taking if we decide to only go with one tool. Your expertise in this situation can quickly become a cage without you really realizing it. So let's say Suno. You use Suno, you understand Suno. Now every problem that you see in the AI music space, it looks like a Suno problem. You stop asking if maybe another tool could do this better. You stop looking. You just assume if Suno can't do it, it can't be done. When we looked at for the Red Lab protocol report number five, where we did the pressure test across these tools, we we ran 27 tracks across these platforms. We did nine tests and they were all blind, blind testing. With Murika, 11 labs, and Suno. One of the interesting things is part of the blind test was a human listening portion. Murika from that test had three 10 out of 10 perfect scores from the human listeners. They had zero. Now, I'm not saying that Murika is now better than Suno, but there were some elements in Murika that were objectively better than Suno. We would not know that if we did not actually experiment with Murika. If we were just stuck inside of Suno, we would have never known that. Wow, Murika actually has the ability to create emotionally gripping songs that grab the human. But now we do understand that. Now we understand that this is another tool that we have in our toolkit. And the funny thing about this is Murika is probably the one that most people haven't even opened yet. So here you are, you have a platform that most creators haven't used, and it's the one winning the human ear test. Again, this is not about abandoning Suno by any stretch of the imagination at all. I love Suno. I will probably always do most of my work inside of Suno unless crazy things happen in the future. But this is about creating or bringing at least a second tool into your toolkit. Not being single-threaded for one tool, but actually having more tools at your disposal. Yes, there's a new learning curve. Yes, the tools do behave and operate differently. But once you learn those and you've proven that you can do that, if you are an expert in Suno, you have proven you have that capability, spend the time. One platform, that's a skill. Two platforms, that that's a strategy. You want to get crazy? And though, three platforms? My friend, three platforms, that is a studio. So now let's talk about what we actually found when we tested Eureka against Suno and against 11 Labs. It was very interesting findings. Uh there were five findings here that I think uh warrant a conversation, or at least me discussing here on this podcast. First finding negative phrasing backfires. We ran a test where we tried to get a song created without drums. So we put in the prompt, no drums. Well, what did Eureka do? Play drums. So we thought, well, how can we how can we say no drums in different ways, right? So void of drums, no percussion, you know, we would throw all of those in there of what to exclude. And Eureka always included it. So we thought, what can we maybe if we take a different approach, if we if we reframe the exclusion as a categorical command saying, here's here's what we actually want included in the song. So we started doing things like a pure instrumental instead of no vocals, as an example. And guess what would happen? When you would say, here's what to include, it would do it. So if you say no vocals, it's going to pull vocals in there. If you say pure instrumental, that is what you want it to do versus what you want it to not do, it actually created songs without vocals. What one of the things that the AI tool does is if you put a word in there, it hyperfixates on the noun. So when you say no drums or no vocals, it hyperfixates on drums and vocals, and it ends up actually using those. It kind of discounts the no. So keep that in mind, at least for murika, although it does apply to Suno uh in some way as well, but negative phrasing absolutely backfires. Okay, let's talk about finding number two. That is the first three words that you put into a Murika prompt is the lens. So these are the words that now Murika is going to take everything else filtered through. And so what do I mean by that? If you create a prompt in Murika, dark cinematic electronic, and that's the first term that you put into the prompt, everything else you put into that prompt will be filtered through dark cinematic electronic. So this means if you want to add acoustic guitar, it doesn't become an acoustic guitar, it becomes an acoustic guitar taken through dark electronic aesthetic. So look at the prompt order as the production order. So the things that you want most front and center in your song, in your art, put at the top of the prompt list. Because everything else will get filtered through that. And again, that first prompt, that first idea, the first three words you put into the prompt are by far the most important. So make sure that you have a real understanding of what your goals are with this song, and make sure that those are the words that you use inside of the prompt to start. Okay, finding number three. Inside of Murika, there are different tiers or different models. These models are not quality tiers, they are simply different brains, different ways in which the tool operates, different ways in which the tool will take your commands and action them, different ways the tool treats outputs, different capabilities inside of Mureka. So it's not one is better than the other, it all absolutely just depends on your use case for the tool at that point in time. So for example, V5S is a checklist, so it's very literal, it's very obedient, it's absolutely the best one if you are looking for very rigid structure inside of your songs, or if you're looking to add elements of silence inside of the songs, that is the model that you would want to use. V8, that's the model that is the lead singer. This is the one that is melodically very, very strong. There's a very clear verse and chorus contrast. This is the model that when you listen to it, you actually feel like there is a human singing. And we've all listened to enough AI music that we can tell the difference between an AI-driven voice and a human-driven voice most of the time. But this is a situation where the tool has actually gone beyond our capabilities of telling. Now, if you're looking for really robust cinematographer type of music of scores, O2 is your tool. This is absolute maximum polish, but it it is very good at filling in the gaps. And so it hates a vacuum, it hates the idea of a vacuum, and it hates the idea of dead space. So it will fill silence with drones and reverb tales every time it can. But the polished results from O2 are amazing, absolutely amazing. It truly, the O2 model, the songs that come out of that, I'm not recommending this, but you could almost take those songs and directly release them onto streaming platforms. The quality is that good. It's expensive, it will chew up your credits, but the quality is that good. But there's limits. There's limits like I talked about. So you'll see the models are just different brains, different ways for the tool to operate. It's not that one's better than the other, it's just different tools for different purposes. Okay, finding number four inside of Murika. Murika tracks are spectrally dark. So we ran a spectral analysis across these tracks, and it showed that Murika's high frequency in energy sits roughly four dB lower than the equivalent Suno output as an example. So tracks sound polite, kind of dull. They just feel like they're missing a little bit of air. And so the fix for that is pretty simple. You just add a high EQ shelf of three to six dB, give or take, uh, right around the 8K level. Takes 30 seconds and a DAW to fix that. So, but it is definitely a characteristic of the Murika tool and the Murika output. And so once you learn that, now you get to look for that. You're you will look for that in the song is being created. And you almost know by default, okay, I know I'm going to have to put a bit of a boost uh on the EQ of this particular band. So that was Finding Four from our testing of Murika that we thought was pretty interesting. And then the last one, Finding Five. Well, there were a lot more, but for this podcast, Finding Five. Let's talk about reference audio. Reference audio inside of Murika is an absolute psychological anchor. Once you upload a reference track, your text prompt becomes merely a suggestion. A suggestion that for the most part, Murika is going to ignore. So make sure if you put a reference track in there, that you understand that the reference track will take preference and priority over everything else that you've put inside of that tool. Your text prompt becomes a suggestion, not a command. We tested, here's a great test that we ran on this. We tested aggressive metal as a reference. So we took an aggressive metal song, we loaded it up as a reference, and then we took inside of the prompt, we made the prompt feel like calm, acoustic type of output that we were looking for. The tool absolutely ignored the prompt 100% of the time. The metal track won every single time. So if you use a reference audio track inside of Murika, just know that the AI will absolutely lock into that vibe from the reference track. So if you understand that, now you know how to use the tool and how to utilize the reference track. There are some times where that is the behavior that you will want. And in that situation, Eureka would be your tool of choice. So those were five findings from our testing. Again, there was a lot more. If you're a Red Lab Access member, uh was report number five, and you can dig through all the gory details of that testing. It's one of the most enjoyable parts of my job is taking these tools into the lab and breaking them and seeing where they uh where they stress and how they compare. So that was a really, really fun one to do. And by the way, we I took the findings from that and spent a lot of time with Murika and actually pulled together that inside of a of a book that you probably have seen out there. Uh Unlock Murika. Unlocked seems to be our brand image, I guess, for these books. Um Unlock Murika is now publicly available. It's been available inside of the Red Access member area for a bit, but it's now publicly available on our website as well as YouTube, or YouTube, as well as Amazon. So that book, I think it's 200 pages, it's pretty in-depth across Murika. Uh again, it's it's a platform that I was I went in not knowing much about, and I walked away extremely impressed by, and I look forward to seeing what what more they do with that tool. All right, now let's close up this episode. You know, as I was going through all of all of this work with Mirika, uh, I kind of thought, how how would I personally use Suno versus Mirika? And I really, if I'm going for speed and organic feel, I think that's when I'll use Suno most. But if I'm looking for real like emotional impact, I may end up just using Mirika more than Suno. We'll see. I'll continue to experiment with this. I encourage all of you to experiment as well, not just these tools with others. Uh, if you find one that you really like that you're having a lot of success with, please, please, please let me know. You can email me josh at jgbeatslab.com or hit us up on Facebook or wherever. Uh, because I'm really looking to see what are the prevailing tools out there or the ones that are coming to market, or you know, ones that you are experimenting with and you've had good success or bad things that you don't like, and sometimes share those as well. Uh let us let us learn from your findings as well. So, again, unlock Mirika. You can find that at jgbeatslab.com or Amazon.com. Uh, and if you want to get into the Red Lab report number five, uh, you can join the Red Lab Red Lab easier said than done, Red Lab Access Group. Uh, you can find the details on that at jgbeatslab.com as well. And there you'll find all the red Red Lab uh protocol reports, including number five that we talked about here. So thank you very much for your time uh and attention, and I hope you enjoyed this episode. Uh, and I will chat with you again in the next week.