The AI Video Expert: The NEW Way To Use A.I. To Get Rich in 2026 (Sora 2, Nano Banana & Veo 3)
A comprehensive guide to using cutting-edge AI video tools to create professional-quality content for marketing, branding, and creative expression.
Published Nov 3, 2025 by The Calum Johnson Show
Key Insights
AI video tools like Nano Banana, V3, and Sora 2 have democratized content creation, allowing individuals to produce professional-quality videos without technical expertise or large budgets.
The key workflow involves: getting inspired by examples, using ChatGPT to create effective prompts, generating initial images, expanding scenes with Nano Banana, then animating with video AI tools.
Nano Banana (Google Gemini 2.5 Flash Image) revolutionized AI creation by allowing consistent characters and settings across multiple generated images, enabling cohesive storytelling.
These AI tools enable creators to mock up products, brands, and marketing materials before making significant investments, drastically reducing market entry costs.
Each AI tool has specific strengths: Nano Banana excels at image creation and scene extension, V3 produces cinematic quality videos, and Sora 2 creates realistic user-generated content style videos.
The barrier between amateur and professional content creation is disappearing, with AI-generated ads already appearing in major venues like the Super Bowl.
Success with AI tools requires both technical knowledge of prompting and creative taste to curate and refine the generated content.
0:00
Intro and Overview of AI's Impact
“You can literally change your life. If you feel a little bit stuck or you feel like you got more to offer, these generative AI tools can build bridges you could never really imagine before.”
The episode opens with a series of powerful clips showcasing the capabilities of AI video creation tools. Host Calum Johnson introduces Jack, an experienced VFX artist with over 10 years in the advertising industry who has become an expert in using generative AI tools for creative content and marketing videos.
Calum explains that this episode was released earlier than planned due to the rapid pace of AI development and the urgency of sharing these opportunities with viewers. He frames the conversation as particularly valuable for business owners looking to scale without large marketing budgets.
Takeaways
The AI revolution in video content creation is happening now, creating an urgent opportunity
Professional-quality video production is becoming accessible to anyone, regardless of technical background
The conversation will cover the entire creative workflow from idea to finished marketing video
Even with minimal budget, AI tools can help create content comparable to professional productions
7:22
The Spark Moment: The Insane Power of Generative AI
“These are the building blocks of filmmaking. These are the building blocks of advertising. And as soon as that kind of clicked in my head, I thought this is the new way to go.”
Jack explains his background in the film and TV industry, starting from the ground up and working his way to becoming a VFX artist for major brands. He describes his journey from traditional VFX work to discovering the potential of generative AI tools beyond just chatbots like ChatGPT.
The key moment for Jack was realizing that AI tools could generate not just text but also images, video, music, and sound effects—all the essential elements of filmmaking and advertising. This realization opened his eyes to a new world of creative possibilities without the traditional barriers of expertise or budget.
Takeaways
Generative AI goes far beyond text generation, offering tools for creating all elements of multimedia production
The transition from traditional production to AI tools is natural for those in creative industries
AI tools remove barriers of expertise and budget that previously limited creative expression
Understanding both the technical and psychological aspects of content creation is valuable when working with AI
8:47
Nano Banana is the Tool That Will Change Everything
“You can take a photo on your phone, upload that to Nano Banana and say, 'Turn this into a professional product shot,' and it will give you that output. And you'll sit back in your chair and go, 'Damn, the time is now.'”
Jack describes his pivotal moment with Nano Banana (Google Gemini 2.5 Flash Image), which revolutionized his approach to AI creation. He explains how earlier AI tools generated impressive but disconnected images, while Nano Banana solved this by maintaining consistency across multiple generated images.
This breakthrough allows creators to establish a character, location, and style in one image, then generate different camera angles and shots that maintain all those elements consistently. The result is the ability to create cohesive storyboards and, when combined with animation tools, complete short films or advertisements with consistent visual elements.
Takeaways
Nano Banana maintains visual consistency across multiple generated images, solving a major limitation of earlier AI tools
This consistency enables true world-building and storytelling that wasn't possible before
The tool can transform amateur product photos into professional marketing images instantly
The psychological impact of seeing these transformations creates an immediate understanding of AI's potential
15:05
How Small Creators Are Making Thousands with AI Ads
“For him to have this dream brand reach out to him purely because he's mastered these generative AI tools I think is an insane example of the connections you can make and how you can literally change your life.”
Jack shares real-world examples of creators leveraging AI tools to generate significant opportunities, highlighting Rock Heath who created spec ads for Vans (a brand he personally loved) without being commissioned. The quality and creativity of his AI-generated content impressed Vans so much that they flew him to their headquarters to teach their creative team how to use these tools.
This example illustrates how individuals can now build bridges to major brands through demonstrating mastery of AI tools rather than through traditional career paths. Jack notes that many creators are making substantial income by producing AI-generated ads for brands who are impressed with their output.
Takeaways
Creating spec work with AI tools can lead to relationships with major brands
Creators can leverage AI mastery to bypass traditional career paths
Companies are willing to pay for high-quality AI-generated content
Demonstrating expertise with these tools creates unique opportunities that weren't possible before
22:41
The 3 Tools Running 2026: Sora 2, Nano Banana, VEO 3
“It's insane how much a video model like V3 is able to create for you with a pretty standard text prompt. You can create these things that are just incredibly lifelike and like really quite engaging as well.”
Jack outlines the three primary AI tools that currently form his creative workflow: Nano Banana for image creation and scene development, V3 (now V3.1) for cinematic-quality video generation, and Sora 2 for realistic user-generated content style videos. He explains how these tools work together in a multi-step creative process.
The process begins with writing prompts and creating initial images to establish the scene, characters, and style. Nano Banana then allows for expanding the visual world by generating consistent additional images from different angles. Finally, video tools like V3 or Sora 2 animate these images to create complete video content with different aesthetic qualities depending on the tool used.
Takeaways
Different AI tools have specific strengths and are best used for particular purposes
A multi-tool workflow yields the best results: text prompts → images → scene expansion → animation
V3 excels at cinematic quality while Sora 2 is better for authentic user-generated content styles
These tools will continue to evolve rapidly, making current versions the worst they'll ever be
25:19
Inside Jack's Workflow: The 3-Step Creative System
“I think about AI filmmaking in a few different steps. The first step is writing the prompts because you don't get anything until you've written a good prompt. The second is using Nano Banana to flesh out your world. The third is using video models to animate each of those frames.”
Jack details his systematic approach to AI content creation, beginning with prompt writing. He explains that rather than struggling to craft perfect prompts himself, he leverages ChatGPT as a creative assistant, asking it to generate detailed text prompts that he can then use with image generation tools. This approach helps overcome the intimidation many people feel when first working with AI tools.
After generating initial images, Jack demonstrates how he uses Nano Banana to modify and expand them, creating consistent scenes from different angles. He shows examples of a fictional energy drink brand called "Nova" that he created entirely through AI, demonstrating how the process allows for iterative refinement until achieving the desired aesthetic.
Takeaways
Using ChatGPT to write AI prompts creates better results and reduces the learning curve
Effective AI content creation is an iterative process requiring multiple attempts and refinements
Platforms like Art List and Higsfield provide access to multiple AI tools through a single subscription
Building a personal library of effective prompts speeds up the creative process
The approach embodies the concept of being "directors over doers" in the AI era
31:10
Real-World Demo: Building a Product Brand from Scratch
“We would have I would have just downloaded this and then I would have fed it back into Nano Banana. We're taking the product, we're mixing it with myself, and we've created something of this quality.”
Jack provides a detailed demonstration of building a complete product brand identity from scratch using AI tools. He shows how he created a fictional energy drink called "Nova" with distinctive branding, professional product photography, and marketing materials—all without any physical product or professional photography equipment.
The demonstration illustrates how entrepreneurs can now visualize and test product concepts before making significant investments. Jack shows how the initial product design can be refined through iterative prompting, then placed in different contexts and marketing scenarios through consistent image generation and finally animated to create complete video advertisements.
Takeaways
AI enables product visualization and marketing before physical production, reducing startup costs
The ability to iterate rapidly on product design allows for testing multiple concepts quickly
Professional product photography can be generated from simple reference photos
The entire branding and marketing package can be created without specialized design skills
This approach fundamentally changes product development by allowing market validation before investment
41:00
Turning a Static Image into a High Performance Ad
“Once we've got this as our starting frame, the first frame in our sequence of moving images essentially, we can go ahead and get that downloaded and rather than using a text prompt to create a video, we can use our starting frame combined with a text prompt.”
Jack walks through the process of transforming static AI-generated images into dynamic video content. Using his "Nova" energy drink example, he demonstrates how to take an image created with Nano Banana and animate it using V3, maintaining consistent product appearance and character features throughout the animation.
The demonstration shows how a simple prompt like "The bearded man has an excited expression as he picks up the can of Nova Energy Drink and points at it" combined with a starting image creates a realistic video clip with consistent lighting, reflections, and textures. Jack emphasizes how the quality rivals professional video production at a fraction of the cost and time investment.
Takeaways
Using AI-generated images as starting frames for video creation ensures visual consistency
Combining image frames with simple text prompts produces surprisingly natural movements and expressions
The AI maintains complex details like reflections, skin texture, and lighting throughout the animation
This approach gives creators a high level of control over the final output compared to text-only prompts
The professional quality rivals traditional production methods while requiring minimal technical skills
46:50
AI Filmmaking is Addictive (and What That Means)
“I found creating with AI quite addictive. Being able to bring my ideas to life really quickly and then through the process of iteration, you start making images, then you want to bring them to life, then tell a little story. Before you know it, you're creating full generative AI videos.”
Jack discusses the psychological impact of working with AI creative tools, describing the experience as addictive due to the rapid feedback loop and the ability to bring ideas to life quickly. He explains how the process naturally escalates from creating still images to wanting to animate them, to building complete narratives.
He showcases a variety of personal creative projects ranging from photorealistic images to stylized 3D Lego-style animations to illustrate the versatility of the tools. Jack emphasizes that despite their power, these tools still require human creativity and taste to produce truly engaging content, differentiating between generic "AI slop" and thoughtfully crafted AI-assisted content.
Takeaways
The immediate creative gratification from AI tools creates a powerful feedback loop that drives continued exploration
The creative process naturally evolves from still images to animation to complete narrative storytelling
Mastering these tools involves developing a personal aesthetic and understanding what makes content engaging
Human creativity and taste remain essential components in producing high-quality AI-generated content
The versatility of AI tools allows creators to explore styles and concepts they couldn't otherwise produce
55:10
The First Super Bowl Ad Made Entirely with AI
“This was a huge moment for generative AI, for an ad like this that's completely generated with AI to be shown on that kind of world stage. It just proves that the time is now.”
Jack shows an example of a Super Bowl advertisement created entirely with AI by creator PJ Ace. He explains how this milestone demonstrates that AI-generated content has already reached mainstream acceptance at the highest levels of advertising. The ad, created with V3, shows how creators can lean into AI's distinctive aesthetic rather than trying to perfectly mimic traditional production.
This example illustrates how both major brands and individual creators can leverage these tools to create professional content. Jack notes that while traditional production methods and AI can coexist, the tools are rapidly improving and becoming more integrated into professional workflows, creating urgency for creators to develop these skills now.
Takeaways
AI-generated content has already reached mainstream acceptance at the highest levels of advertising
Successful creators lean into AI's unique aesthetic rather than trying to hide its origins
Major brands are already embracing AI-generated content for high-profile marketing campaigns
The tools are becoming integrated into professional production workflows, not just replacing them
Early adopters who master these tools now have significant advantages as the technology becomes mainstream
1:00:20
The Rise of the One-Person, Million-Dollar Agency
“These generative AI tools are as bad as they're ever going to be. Literally what we're seeing right now on screen is actually the worst probably iteration of what their capacity is. It only gets better from here.”
Jack and Calum discuss the emerging business model of the one or two-person creative agency leveraging AI tools to service major brands at a fraction of the traditional cost. They explore how these tools are continuously improving, with Jack emphasizing that current versions represent the lowest quality they will ever be—they will only become more powerful, more accessible, and less expensive over time.
This section highlights the urgency for creators and entrepreneurs to master these tools now to position themselves ahead of the inevitable mainstream adoption. Jack notes that the exponential learning curve of AI means those who start now will have significant advantages as the technology becomes standardized across industries.
Takeaways
AI tools enable small teams or individuals to provide services previously requiring large agencies
The quality and capabilities of these tools are improving exponentially
Early adopters have a time-limited opportunity to establish themselves before mainstream adoption
The barrier to entry is primarily willingness to learn rather than technical expertise or budget
Future iterations will be more powerful, more intuitive, and able to handle longer and more complex generations
1:04:10
Sora 2 is Changing UGC Forever
“Sora has decided that the safety guy is actually carrying out this jump. Why not have him do a little thumbs up to the screen? I didn't ask it to do that. That's one of the strengths of Sora—it sticks to what you want, but it can also take on a little bit of a journey of its own.”
Jack demonstrates how Sora 2 excels at creating realistic user-generated content (UGC) style videos that are becoming increasingly popular in marketing. He shows an example of an AI-generated skydiving video featuring the fictional Nova energy drink, highlighting the remarkable physics simulation, natural movements, and consistent product appearance throughout the clip.
What makes Sora 2 particularly powerful is its ability to create realistic "world-building" details beyond what was explicitly requested in the prompt. Jack notes that Sora seems to have been trained on phone footage, dashcam videos, and other authentic content sources, giving its output a distinctly realistic quality compared to the more cinematic look of V3. The result is content that is virtually indistinguishable from authentic user-generated videos.
Takeaways
Sora 2 excels at creating realistic user-generated content style videos that appear authentic
The tool adds natural world-building details beyond what is explicitly requested in prompts
Physics simulation, fabric movement, hair dynamics, and other details create convincing realism
Product placement and presentation remains consistent throughout the generated video
The output is so realistic it becomes difficult to distinguish from actual human-created content
1:13:32
How to Actually Start TODAY: Step-by-Step Plan
“If you're listening to this right now and you're like, 'I want to get started, I want to make something'—download the Gemini app, click on the little Nano Banana icon at the bottom of the screen, and start making something.”
Jack provides concrete advice for beginners looking to start creating with AI tools immediately. He recommends starting with image generation through tools like Midjourney or the more accessible Nano Banana (available in the Google Gemini app). He suggests exploring these platforms' galleries for inspiration before creating your own content.
He encourages viewers to resurrect creative ideas they may have abandoned in the past due to technical limitations, as AI tools now make these projects feasible. Jack emphasizes that the process should be enjoyable and experimental, allowing users to discover their own aesthetic preferences while gradually building confidence with the tools before moving to video creation.
Takeaways
Start with image generation before moving to video to build confidence with AI tools
Use existing galleries of AI-generated content for inspiration and to understand possibilities
Revisit creative ideas that previously seemed impossible due to technical or budget limitations
The Gemini app provides an accessible entry point through Nano Banana for beginners
Focus on enjoying the process of discovery rather than achieving perfect results immediately
1:17:00
The #1 Skill That Will Help You Create World Class AI Video
“It's about taste. These AI tools can generate you some really amazing stuff. They can also generate some crap as well. You need to understand about taking bits and pieces from them, the good bit.”
Jack identifies taste as the critical differentiator between generic "AI slop" and compelling AI-generated content. He explains that while the tools can produce impressive raw material, the human creator's ability to curate, refine, and combine the best elements is what elevates the work to professional quality.
This curation process involves selecting the strongest segments from multiple generations, adding personal creative touches, and developing a distinctive style. Jack demonstrates this principle by showing various projects where he applied his aesthetic judgment to shape the AI output, noting that the most successful creators aren't just prompt engineers but directors who guide the AI toward a cohesive vision.
Takeaways
Aesthetic judgment and curation skills are what separate mediocre from exceptional AI-generated content
Successful creators take a directorial approach, selecting and refining rather than accepting raw output
Developing a personal style helps differentiate your work in an increasingly crowded space
Being selective about what parts of AI generation to use is as important as generating good content initially
The creator becomes a director of multiple creative departments rather than just a prompt writer
1:25:58
The Moral Question: Will AI Destroy or Democratize Creativity?
“If you put that to one side, you realize this is happening whether we like it or not. There's too many amazing benefits when it comes to AI. The AI boulder is rolling down that hill whether we like it or not. So for me personally, I'm like—embrace it.”
In the closing segment, Jack addresses the ethical considerations around AI creative tools, acknowledging the valid concerns while emphasizing the inevitability of the technology's advancement. He describes his own initial moral dilemma before deciding that the democratizing benefits outweigh the potential negatives.
Jack advocates for a balanced approach: embracing the creative opportunities while remaining conscious of our responsibility to hold developers and governments accountable for ethical implementation. He expresses hope that AI will ultimately create more opportunities rather than fewer, particularly for those who previously lacked access to creative tools due to technical or financial barriers.
Takeaways
The benefits of creative democratization need to be balanced against ethical considerations
Individual creators can embrace the technology while still advocating for responsible development
AI tools are particularly valuable for those previously excluded from creative fields by technical or financial barriers
The technology is advancing regardless of resistance, making adaptation more practical than opposition
The ultimate goal should be a world with more creative opportunities, not fewer
Conclusion
The revolution in AI video creation represents a fundamental democratization of creative production, allowing individuals to produce professional-quality content without the technical expertise, equipment, or budgets that were previously required. Jack's demonstration of tools like Nano Banana, V3, and Sora 2 reveals how the barriers between amateur and professional content creation are rapidly dissolving, creating unprecedented opportunities for entrepreneurs, marketers, and creative individuals.
What makes this moment particularly significant is the convergence of accessibility and capability—these tools are simultaneously becoming more powerful and easier to use, creating a brief window where early adopters can establish themselves before the technology becomes standardized. The ability to visualize products before manufacturing them, create comprehensive brand identities without design teams, and produce compelling video content without production crews fundamentally changes the economics of business launch and marketing.
So what? The implications extend far beyond just making pretty videos. This technology represents a massive redistribution of creative power from institutions to individuals. Those who embrace these tools now—learning to pair technical proficiency with aesthetic judgment—will have unprecedented abilities to bring ideas to market, test concepts before significant investment, and compete with established players despite limited resources. The question is not whether AI will transform creative industries (it already is), but rather who will harness its potential most effectively during this transitional period.