AI platforms often have multiple specialized modes (creator modes, research modes, web dev modes) that are hidden from the default chat interface; to maximize their utility, users should first explore these modes, build detailed prompts before generating, and use the platform as part of a broader workflow rather than as a standalone tool.
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The first time I asked Quen for a video, it did not generate a video at all. It answered like a normal chatbot. Then I tried an image prompt and the same thing happened. No creator panel, no generation screen, nothing that made it feel like the tool I was seeing other people use.
>> [music] >> For text, Quen already felt powerful enough that I understood why people were paying attention to it. But as a creator tool, >> [music] >> it looked like I had opened the wrong thing.
Then I opened community and the contradiction was right there. [music] The normal chat was acting like it could not create what I wanted, but community was full of images and videos that looked like they were made inside Quen.
>> [music] >> That was the moment the test changed.
Quen was not failing because it could not do it. I was asking in the wrong room.
The platform only looks basic when you treat the text box as the product. Once I found the hidden modes, the useful part was not just that Quen could generate visuals. The useful part was that it could become a free creator workflow if I used it in the right order. My first problem was not the image model. It was the prompt. So before touching the image generator, I used Quen like a prompt builder. I asked the thinking model to create several realistic, highly detailed image prompts built for cinematic quality and strong visual detail. That gave me options before generating anything. Then came the mistake that makes Quen look limited if you do not know the interface. The creator tools are behind the plus icon and once I selected image mode, the interface finally behaved like an image [music] generator. For YouTube, I chose 16 to 9 because I wanted a horizontal frame that could become the base for a video clip. Then I pasted the prompt that Quen had already helped me build.
The image came back clean, detailed.
When I opened the generated image, I could edit it or turn it directly into a video. And on my account, at the time of recording, I did not see a visible watermark on the export. Under this setup, the output came out clean.
Text-to-video worked, and the results were good enough to keep testing. You can prepare a video prompt, use the video mode, set the format, [music] and generate directly from text. But for creator work, the route that made more sense was image-to-video.
Build the prompt first, generate the 16:9 [music] image, then animate it with motion instructions, instead of starting every clip [music] from text. And the image does not have to come from Kwen.
You can upload an external image and animate something you already made somewhere else. That makes Kwen useful [music] as part of a bigger creator workflow, not only as a place where every asset [music] starts from zero.
Community became useful for the same reason.
>> [music] >> At first, Community was the proof that the hidden modes existed. The normal chat made Kwen look like a text tool, but Community showed people creating images [music] and videos inside the platform. After that, Community became a prompt library.
>> [music] >> Not a place to copy someone's exact idea, but a place to study what working prompts look like inside Kwen. How do they describe the camera? How do they describe lighting?
>> [music] >> How much detail do they put into the subject? That matters because Kwen is not only limited by whether it can generate, it is limited by how many weak ideas you try before you get something usable. And video does have a real limit.
In my test, I could generate several videos, but after a while, Kwen asked me to wait a few hours before continuing.
[music] I did not see a normal credit store or a subscription route inside the tool during this test, so the practical verdict is not unlimited. It is [music] free, but with a waiting limit. That changes how you should use it. Do not waste the cap on random tests. Build the prompts first, pick the strongest ideas, generate images before videos when control matters, and spend the video attempts only on clips that already have a good visual base. But if what we want is to create [music] really eye-catching videos, I've got the perfect solution for you. Because with Higgsfield, we get the best image, >> [music] >> video, and audio models all in one platform. If we go into Marketing Studio, we'll find the new Hooks feature.
>> [music] >> With it, we can upload a photo of any product we want to sell or create an ad for, even for another company. And we won't even need to write a super detailed prompt. We just choose the type of ad we want to create, and if we select UGC, we'll get access to the Hooks option. This gives us a whole list of super viral video templates. Once we pick one, we can go into settings, where we can also choose where the video takes place. Then all we have to do is hit generate, and within seconds we'll have an ad that normally would have taken hours of work to create.
>> a watch this year, buy something that actually runs on its own. The Blue Malba fully automatic movement, no battery, no charging, ever. Stainless steel, 40 mm, and this dial color hits different in person. Works dressed up, works like this, nobody cares, it just reads right on the wrist. Link's in the bio. And honestly, there are basically no limits here. We can also add extra prompts to make even more specific and attention-grabbing things happen in the video. And if we still need even more content, now that we can use Higgsfield inside Claude through MCP, we can upload a photo of our product and ask it to generate hundreds of viral videos at once. And since we're using one of the most powerful reasoning models out there, I can guarantee the results are going to be incredible. If you want to try it yourselves, I'll leave the link in the description and in the pinned comment. Thanks to Higgsfield for sponsoring this video.
This is the Blue Malva Square Steel Automatic Watch. Now, after testing the visual side of Quen, the next creator problem was completely different: research.
A lot of videos fail before the script starts because the information is old.
If you ask the normal chat about recent events, Quen may respond like it does not have access to the latest information. That is not the moment to abandon it. It is another mode problem.
With web search enabled, Quen can search recent information. For creators, that matters most with fast-moving topics like AI news, new tools, model updates, and feature launches. The workflow is simple. Use web search [music] to collect the latest AI news. Then use deep research in advanced mode to turn that research into a structured [music] YouTube script. Web search finds the material. Deep research gives it more structure, connects the points, and turns the research into something closer to a usable video draft. Then I tested the part that solves [music] a different creator problem: building small tools.
Most AI coding chats give you code and leave you with the real question, "Where do I put this?"
>> [music] >> Web dev felt different because the code stopped being homework and turned into something clickable. For the simple test, [music] I asked for a calculator.
Instead of only giving me a block of code or files I had to figure out, Quen created something I could actually use inside the chat. [music] For creators, that can become an information manager, a routine manager, or even a simple game. The useful part is not that it writes code. The useful part is that the result can stay there, inside the chat, ready to use again later. This is not a replacement for a developer if you are building [music] something complex, but for quick internal tools and prototypes, web dev removes the step where most beginners get stuck. The smaller modes also make more sense when you treat them as problem solvers, not as leftover features. Slides is useful when you need a first draft presentation for class, work, [music] or a quick explanation. I would not treat it as final design without checking it, but it can save time when the hard part is getting the structure started.
Learn is for structured lessons when you do not want to write a perfect teaching prompt. You give it the topic and it turns that topic [music] into a lesson path you can continue over time instead of a one-off list of tips. Travel planner does the same for trips. You give it the destination and the trip length, it asks follow-up questions, and then it builds [music] a first itinerary. Opening hours, tickets, prices, and transport still need verification, but as a starting route, it has a clear job. That is the pattern with Quinn. Now, like I promised at the beginning of the video, I'm going to show you how to get the free PDFs with all the information from today's video.
Just go to my website with the link in the description and we're going to click free PDF.
Once we're here, all we have to do is select the video we want the PDF from, click this button, and we'll have [clears throat] it downloaded. But, there are also a lot of free options here that I'm sure you're going to be interested in. For example, we have a catalog that we keep expanding with free AIs that you can use from our website online and at no [music] cost. We also have our own AI tools directory, where in one place you have grouped together, updated day by day, the best AIs for generating each thing for free. [music] On top of that, you can see how the community rates them to help you choose better. We're also launching our new blog where you'll find updated news about new free AI content. And this is only going to keep growing. If you want to stay up-to-date with the world of artificial intelligence for free, I recommend that you check out this website. Thank you very much for watching today's video. I'll see you in the next one.
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