Gemini Omni Flash: Free Videos, but Not in Gemini

Gemini Omni Flash can make short social videos, and you can try it for free, just not in the Gemini app. The free route I'd use is Google Vids, with up to three 15-second videos a month, while the Gemini app needs a paid Google AI plan on a personal account. The Google pages I read don't say free clips are cleared for commercial use, so treat them as practice for now.

What Gemini Omni Flash Does

Gemini Omni is Google's AI video model. You describe a scene, or mix text, images and video, and it makes a clip. Then you change that clip by chatting: remove an object, swap the camera angle, adjust the scene.

The newest version, Gemini Omni 1.2 Flash, arrived on November 5. Google's changelog entry for that date is for developers, the people building apps on its tools, so its prices aren't what you'd pay.

Is Gemini Omni Free?

In the Gemini app, no. Google's help page says a personal account needs a Google AI plan for video, and you must be 18 or over. Google's limits table shows no video generation without a plan.

[INSERT IMAGE: google-gemini-video-help.jpg] Google's help page for making videos in Gemini Apps, showing that a Google AI plan is required

In US dollars on Google's plan page, AI Plus is $4.99 a month, AI Pro is $19.99, and AI Ultra is $99.99 or $199.99. Check the price for your own country before you quote it to a client.

In Google Vids, yes. Vids is Google's online video editor, at vids.new. On November 5, Google said anyone with a Google account or Workspace subscription can make up to three 15-second videos a month there at no cost. Google also launched Omni at no cost in YouTube Shorts and the YouTube Create app in May.

Google's November 5 post saying anyone with a Google account can make up to three 15-second videos a month in Vids

One small mismatch: Google's Vids help table lists 60 seconds a month for personal accounts, and says those accounts might have some limits on AI video editing. Plan on three clips at most.

How Long Are the Videos?

Google's help page says Gemini app videos run from 3 to 10 seconds, or up to 15 seconds with AI Ultra. Google's launch post says 15-second videos in the app are still rolling out to Ultra subscribers.

Paid plans don't come with a video count either. Usage refreshes every 5 hours until you hit a weekly limit, and Google says video generally uses the most.

In Vids, the help page lists 3 to 15 seconds, 720p or 1080p, and landscape or portrait, with animated still photos at 3 to 10 seconds. That page still says you need a Workspace subscription, which doesn't match the November 5 post, so a free account may get less.

Using Gemini Omni Flash for Client Videos

Google pitches Vids for product promos and social clips, so it's a fair place to practise. I'd try a short product teaser, a still photo brought to life, or a quick background clip for an event reminder. But the Google pages I read don't say whether free clips can be used commercially, so check Google's terms and ask your client before one goes on their page.

Google's help page suggests including the subject, location, action, camera, lighting, sounds and tone. Here's a sample prompt you can adapt:

"A vertical clip of a ceramic mug of coffee on a wooden cafe counter, steam rising, slow camera push-in, soft morning light, quiet cafe sounds."

Google says it's still improving things like fast sports action, rapid script changes and complex physics.

[MAYE (optional): make one free clip in Vids from a made-up product and add it here, with what you changed.]

Labels and Client Approval

Google says all Omni videos carry SynthID, an invisible watermark that marks them as made with Google AI. Content made in the Gemini app also carries C2PA Content Credentials, a kind of digital record of where a file came from.

Gemini app videos can also carry a visible watermark, an overlay controlled by a Media Watermark setting. In some countries, only AI Ultra gets that switch. The setting doesn't cover Vids, and the Vids pages I read don't mention a visible label. So decide with your client whether to add an "AI-generated" line, and check the rules of the platform you're posting on.

Google also says you must have the rights to any images you upload, and you can't use these videos to deceive people, including passing AI content off as human-made. Breaking those rules could cost you the account.

An AI clip can show a product a little differently from the real one. A client who sells food or skincare can't afford that. So nothing gets posted until the client has watched it and said yes.

What This Means for VAs

For a small business, three free clips a month is enough to test this properly. Make one sample from a made-up product, show the client, and let them decide if AI video fits the brand.

If they want it every week, that's when to look at a paid plan and its terms. I'd have the client hold that plan, so the account and the bill stay with the business.

Write down that approval step before you start, and agree on whether AI clips get labelled. My post on setting AI expectations with clients can help with that talk.

If you want a low-risk start, open vids.new this week and spend one free clip on a made-up product.

Day in the Life of an AI-Powered VA: My Real Week

This week, from Thursday to Saturday, I made two YouTube videos, two Shorts, and a 15-post blog plan, and Claude fact-checked 295 claims along the way. And I didn't film a single frame.

This is what a day in the life of an AI virtual assistant actually looks like for me. It's not a morning routine with a perfect latte. It's the real list of what I did, what Claude did, and what went wrong.

A Day in the Life of an AI Virtual Assistant: My Setup

Everything ran through Claude Code inside the Claude desktop app. Claude Code is the version of Claude that can use tools on your computer, like opening files, searching the web and running programs, instead of only chatting.

The videos are for my small test channel, The 1% Mindset. I pick the topics, approve every script, and say no when something looks off. Claude does the heavy lifting in between.

First: Research Before Anything Else

Both videos started with research, and this is the part I'd show any VA first.

For each topic, Claude sent several research helpers out at the same time, each looking at a different angle: the company's own pages, posts on X, and other YouTube videos. Then a separate set of checkers opened every source again and marked each claim as verified, partly right, unverified, or wrong.

The first topic was MiniMax M3.1 Flash, a new AI model. That ledger, which is just a list of every claim with its verdict, ended up with 194 claims. 155 checked out, 25 were partly right, 10 couldn't be confirmed, and 4 were wrong.

The second was Kimi K3.1, from the Chinese company Moonshot. That one had 101 claims: 76 verified, 19 partly right, 5 unconfirmed and 1 wrong.

That's 295 claims, and only the checked ones were allowed into a script.

Building the Videos

Once the facts were in, Claude wrote each script and I read and approved it. The voice-over comes from Kokoro, a free voice model that runs on my laptop. Most of the visuals are real screenshots of the sources, with red circles and underlines added by Claude.

The MiniMax video came out at 4 minutes 12 seconds. Its topic: a new AI model that guesses an answer 93% of the time when it doesn't know.

The Kimi video is 3 minutes 55 seconds, about what different AI models build when you ask them to build themselves in Minecraft.

Each long video took most of a day, with me reviewing at every step. On top of that came two Shorts, at 27.3 and 25.6 seconds. Claude also made the thumbnails with Nano Banana 2, Google's image model, and wrote the YouTube titles, descriptions and tags after checking what people actually type into YouTube search.

The Plot Twist: News Broke Mid-Project

Halfway through the Kimi project, Moonshot released Kimi K3.1 Pro (October 23, 17:15 UTC). Our script was suddenly out of date.

So we stopped and checked Moonshot's own launch post and its blog before changing a word. The script was rewritten the same day, using only what Moonshot itself had said. If you've ever had a client change the brief mid-project, you know that feeling.

The Part That Caught Real Mistakes

After each render, Claude pulled a frame from every 2 seconds of the video and checked them all, like a very patient editor.

It found a red circle sitting on the wrong bar of a chart, and an empty 8-second stretch where nothing was on screen. On the Kimi video, it spotted two screenshots that showed numbers we hadn't verified, and those were taken out.

None of these were big disasters. But each one is exactly the kind of thing a client would notice and I'd be embarrassed by.

Saturday: Planning This Blog

The last job was this blog. Claude ran the same research-then-verify process on what VAs search for: 61 claims checked (46 verified, 13 partly right, 2 wrong), 104 ideas, and a 15-post plan for this week.

The first post went live on Saturday: Can Claude Make YouTube Videos? I Made a 4-Minute One.

What This Means for VAs

Notice what I spent my time on. Not typing scripts or dragging clips around. I spent it deciding: which topic, which facts were good enough, which frame looked wrong, what to do when the news changed mid-project.

That's the job an AI-powered VA does. The tools handle volume, and you handle judgment. Clients can buy volume anywhere. Judgment is the part they keep you for.

If you want to start, copy just one habit from my week: never let a fact reach a client until something, or someone, has opened the source again.

Want the behind-the-scenes clips from weeks like this?

Can Claude Make YouTube Videos? I Made a 4-Minute One

Yes, it can. This week I made a full 4-minute YouTube video with Claude: the research, the script, the voice, every scene, and the thumbnail. But it didn't happen the way most people imagine, and the part that surprised me most wasn't the video at all.

Here's exactly what Claude did, what I did, and what I'd tell any VA who wants to try it.

First, What "Making a Video" Meant Here

Claude didn't press a magic "make video" button. There's no camera and no AI-generated footage in this video.

I used Claude Code, the version of Claude that can run tools on your computer, not just chat. It wrote the video as a set of animated web pages, then recorded them frame by frame into an MP4. Think of it like building slides that move, then filming them.

The video is for my small test channel, The 1% Mindset. The topic: a new AI model that guesses an answer 93% of the time when it doesn't know.

How It Went, Step by Step

Research. I asked Claude to dig into the topic. It sent several research helpers out at once, then a separate set of fact-checkers who opened every source again. They checked 194 claims. Four were wrong, and none of those made it into the script.

Script. Claude wrote a 4-minute script in plain English, then checked its own opening against a retention checklist and rewrote the first lines. I read it and signed it off before anything else happened. That's the same job I'd do for a human writer.

Voice. The voice-over comes from Kokoro, a free voice model that runs on my laptop. Claude split the script into sections, voiced each one, then transcribed the audio back to check that every word came out right.

Visuals. Every chart and post you see is a real screenshot of the source. Claude added the red hand-drawn circles and underlines, timed to the voice. The only made-up art is the cartoon test sheets and bunny from the thumbnail, plus a few simple bar graphics.

Thumbnail. Claude wrote the prompt for Nano Banana 2 (Google's image model), then added the "100% SURE" text on top.

The final file: 4 minutes 12 seconds, full HD.

What Surprised Me

The checking. After the render, Claude pulled a frame from every 2 seconds of the video and looked at all of them, like a very patient editor.

It caught real mistakes. One red circle sat on the wrong bar of a chart, because the website had shifted its layout after the screenshot. Another section sat empty for 8 seconds. Both got fixed before I ever saw the video.

On a second video, it caught something worse: a screenshot that showed numbers we hadn't been able to verify. It cropped them out. As someone whose job is getting details right for a client, that's the part that won me over.

Is It Free?

Not completely. Claude Code needs a paid Claude plan. The voice model is free, and the thumbnail image costs a little through Google.

Time is the bigger cost. This took most of a day, with me reviewing at every step. It's still a fraction of what one person would need to research, write, voice, animate, and edit the same video by hand.

What This Means for VAs

If you manage YouTube for a client, this changes what you can offer. You don't need to be a video editor to turn a script and real sources into a clean explainer, a Short, or a slide-style video.

But notice who made the decisions. Claude did the heavy lifting, while I picked the topic, approved the script, chose the look, and said no when something felt off. That's still VA work. It's just a bigger version of it.

Start small. Ask Claude to turn one of your client's blog posts into a 30-second Short script, and see how much of the rest you'd want to hand over.

If you try it, tell me how it goes on the comments.