CyberJungle, the Youtube channel of Hamburg-based Senior IT Product Manager Cihan Unur, has posted Veo 3 Worth $250?
The answer is, “Not yet.”
My take: Wow! The tech has taken quite a leap, but so has the price!
CyberJungle, the Youtube channel of Hamburg-based Senior IT Product Manager Cihan Unur, has posted Veo 3 Worth $250?
The answer is, “Not yet.”
My take: Wow! The tech has taken quite a leap, but so has the price!
Gemini Gems are AI mini-agents that you can create with specific instructions and knowledge files, making them experts in particular tasks.
According to Google:
“Gems let you customize Gemini to create your own personal AI expert on any topic, and are starting to roll out for everyone at no cost in the Gemini app. Get started with one of our premade Gems or quickly create your own custom Gems, like a translator, meal planner or math coach. Just go to the “Gems manager” on desktop, write instructions, give it a name and then chat with it whenever you want. You can also upload files when creating a custom Gem, so it can reference even more helpful information.”
Some of the pre-made Gems:
Google suggests using this format when writing instructions: Persona / Task / Context / Format. For instance, this is their prompt for Brainstormer:
| Persona | Your purpose is to inspire and spark creativity. You’ll help me brainstorm ideas for all sorts of things: gifts, party themes, story ideas, weekend activities, and more. |
|---|---|
| Task |
|
| Context |
|
| Format |
|
My take: Google’s Gems are similar to OpenAI’s CustomGPTs. I’ve made a few for my own use and they work very well. Even in a free Google account. Canada now has a federal government Minister of AI and Digital Innovation – maybe it’s time to bite the bullet and start exploring?
Haydn Rushworth shares his AI filmmaking journey with all on YouTube and says, “Finally, AI Filmmaking Tools I DESPERATELY Need!”
He has a list of 18 categories of things he feels filmmakers need to specify and,
“Number one and number two for me are gaze control and expression control.”
He explains:
“The reason you need gaze control or eye control is because where a character is looking in a story tells you everything about what they want or what they don’t want, what they’re afraid of. It shows you what their desires are, what their hopes, their dreams, their aspirations, the thing that they’re working towards. The thing that is most important to them in any given moment is revealed through what they are looking at.”
Dzine to the rescue! See their new Face Kit Expression Edit in action below.
He squeals, “She’s looking at the guy. She’s looking at the guy. She’s looking at the guy!”
Here’s the full tutorial:
My take: Hayden is right. More control is critical for all AI filmmakers.
Kevin Hutson of Futurepedia.io has just Tested The Most Complex AI Video Prompts to See What’s Possible.
The four AI video generators he visited are:
He concludes:
“We’re already to the point where you can make videos indistinguishable from reality or create entire short films and this will only keep getting better.”
My take: Very interesting to see where we are today — and arguably these are not the latest cutting-edge tools.
Tim Simmons of Theoretically Media made an CGAI (Computer Generated Artificial Intelligence) short film using Google’s new Veo 2 model:
He completes the package by taking us behind the scenes to reveal his workflow:
The software or services he used and their cost per month (or for this project)? See below:
In addition to the great AI news and advice, Tim is actually funny:
“At some point in the process Gemini and I definitely got into a bit of a groove and I just ended up ditching the reference images entirely. I have often said that working this way kind of feels a bit like being a writer/producer/director working remotely with a film crew in like let’s say Belgium and then your point of contact speaks English but none of the other department heads do. But like with all creative endeavours you know somehow it gets done.”
My take: Tim’s “shooting” ratio worked out to about 10:1 and there are many, many steps in this work flow. Basically, it’s a new form of animation — kinda takes me back to the early days of Machinima, that, in hindsight, was actually more linear than this process.
BONUS
Here is the Veo 2 Cheat Sheet by Henry Daubrez that Tim mentions.
1/ If you’re not using a LLM (Gemini, ChatGPT, whatever), you’re doing it wrong.
VEO 2 currently has a sweet spot when it comes to prompt length: too short is poor, too long drops information, action, description etc. I did a lot of back and forth to find my sweet spot, but once I got in a place I thought felt right, I used a LLM to help me keep my structure, length, and help me draft actions. I would then spent an extensive amount of time tweaking, iterating, removing words, changing order, adding others, but the draft would come from a LLM and a conversation I built and trained to understand what my structure looked like, what was a success, or a failure. I would also share the prompts working well for further reference, and sharing the failures also for further reference. This would ensure my LLM conversation became a true companion.
2/ Structure, structure, structure
Structure is important. Each recipe is different but same as any GenAI text-to something, it looks like the “higher on the prompt has more weight” rule applies. So, in my case I would start by describing the aesthetics I am looking for, time of day, colors, mood, then move to camera, subject, action, and all the rest. Once again, you might have a different experience but what is important is to stick to whatever structure you have as you move forward. Keeping it organized also makes it easier to edit later.
3/ Only describe what you see in the frame
If you have a character you want to keep consistent, but you want a close-up on the face for example, your reflex will be to describe the character from head to toe and then mention you want a close-up…It’s not that simple. If I tell VEO I want a face close-up but then proceed to describe the character’s feet, the close-up mention will be dropped by VEO… Once again, the LLM can help you in this by giving it the instruction to only describe what is in the frame.
4/ Patience
Well, it can get costly to be patient, but even if you repeat the same structure, sometimes changing one word can still throw the entire thing out and totally change the aesthetics of your scene. It is by nature extremely consistent if you conserve most words, but sometimes it happens. In those situations, trace your steps back and try to figure out which words are triggering a larger change.
5/ Documenting
When I started “Kitsune” (and did the same for all others), the first thing I did was start a Figjam file so I could save the successful prompts and come back to them for future reference. Why Figjam? So I could also upload 1 to 4 generations from this prompt, and browse through them in the future.
6/ VEO is the Midjourney of video
Currently, no text-to-video tool (Minimax being the closest behind) gave me a feeling I could provide strong art directions and actually get them. I have been a designer for nearly 20 years, and art direction to me has been one of the strongest foundations of most of my work. Dark, light, happy, sad, colorful or not, it doesn’t matter as long as you have a point of view and please…have a point of view. Recently watched a great video about the slow death of art direction in film (link in comments) and oh boy, did VEO 2 deliver on giving me the feeling I was listened. Try starting your prompts with different kinds of medium (watercolor for example), the mood you are trying to achieve, the kind of lighting you want, the dust in the rays of light, etc… which gets me to the next one
7/ You can direct your colors in VEO
It’s as simple as mentioning the hues you want to have in the final result, in which quantity, and where. When I direct shots, I am constantly describing colors for two reasons: 1. Well, having a point of view and 2. reaching better consistency through text-to-video. If I have a strong and consistent mood but my character is slightly different because of text-to-video, the impact won’t be dramatic because a strong art direction helps a lot with consistency.
8/ Describe your life away
Some people asked me how I achieved a good consistency between shots knowing it’s only text-to-video and the answer is simple: I describe my characters, their unique traits, their clothing, their haircut, etc..anything which could help someone visually impaired have a very precise mental representation of the subject.
9/ But don’t describe too much either…
It would be magical if you could stuff 3000 words in the window and have exactly what you asked for, right? Well, it turns out VEO is amazing with its prompt adherence, but there is always a moment where it starts dropping animations or visual elements when your prompt stretches for a tad too long. This actually happens way before the character limit allowed by VEO is reached, so don’t overdo it, it’s no use and will play against the results. For info, 200-250 words seems like a sweet spot!
10/ Natural movements but…
VEO is great with natural movements and this is also one of the reasons why I used it so extensively: people walking don’t walk in slow-motion. That being said, don’t try to be too ambitious on some of the expected movements: multiple camera movements won’t work, full 360 revolutions around a subject won’t work, anime-style crazy camera movements won’t work, etc… what it can do is already great, but there are still some limitations…
Jourdan Aldredge on No Film School invites us to Meet the World’s First Cinema-Grade Mobile Lenses for iPhone.
There are at least half a dozen brands of add-on lenses for iPhone cinematography, but these promise to be the first cinema-grade lenses from ShiftCam, working with TUSK.
Beyond the optical quality and build, consider their best use cases:
Here’s the link to the Kickstarter campaign. Not cheap.
My take: I would love to see real-world test footage and charts from these lenses.
Rory Flynn has shared a workflow that uses a combination of AI tools to create aerial clips.
CLAUDE + MAGNIFIC + RUNWAY WORKFLOW
3D-to-Video (full tutorial) ↓
PROCESS:
01. Build 3D Renders in Claude 3.7
02. Program camera movements
03. Screen record render
04. Upload video to Runway Gen-3
05. Extract 1st frame
06. Magnific Struct. Ref. 1st frame
07. Upload in Runway… pic.twitter.com/PriqPhnKif— Rory Flynn (@Ror_Fly) March 11, 2025
The tools are: Claude 3.7, Magnific and Runway.
The workflow is:
The Claude prompt he used in Step 1 is: “can you code a 3d version of [subject + env] in three.js?” E.g. “can you code a 3d version of an epic castle atop a mountain plateau in a valley in three.js?”
The Magnific Structure Reference he used in Step 6 is: “editorial photo, epic castle on a plateau, intricate rocky textures and fine details, immaculate New Zealand landscape, white marble castle, high precision photography” with these settings:
See his X post or LinkedIn post.
See an interview with Rory on AI in business.
My take: amazing!
Luma Labs might just have taken the lead in computer generated video with their Ray2 model.
It now uses image to video, an update from text to video.
See Theoretically Media for more.
My take: wow. Just wow! (How about lip sync next, eh?)
Riffusion has just opened a public beta and it rocks!
Riffusion is the brainchild of Hayk Martiros and Seth Forsgren.
“Our goal is to make everyone into a musician and bring a future where music is interactive and personalized.”
TechCrunch reported their $4M seed funding in October 2023.
My take: damn! Not only will this create full songs, it will also create stems you can download for further modification in your DAW of choice.
There is a new open source Text to Speech generator in town called Kokomo-82M.
As far as I can determine, it’s being developed by one person, Hexgrad, based on earlier models.
Apparently, this is something you can install and run locally on your own computer.
You can try it out online here. You can also compare various open source models at the TTS Arena.
My take: note that this does not clone voices or emote (at all.) Perhaps in the next version?