BY
Kathy Patton
Inside a Six Week AI Experiment That Changed Everything
Inside a Six Week AI Experiment That Changed Everything
Inside a Six Week AI Experiment That Changed Everything
Inside a Six Week AI Experiment That Changed Everything
From October 2025 through June 2026, I worked with Brandissimo while building DubStar, an AI playground designed to test, build, and experiment with emerging AI products, workflows, and creative systems. Somewhere along the way, I realized something. The biggest change isn’t the technology. It’s the speed at which people can learn.
What felt impossible a few months earlier became routine. Workflows that didn’t exist at the beginning of 2026 were already becoming standard operating procedures by spring. Entire creative processes were being rewritten in real time. The surprising part was how quickly that happened once we stopped watching from the sidelines and started building.
The Six Week Experiment That Changed My Perspective
Earlier in 2026, we launched an experimental project called Zoomies. The goal wasn’t to build a hit show, it was to answer a simple question:
What happens when you try to build an entertainment property using AI native production workflows from the ground up?
One of the first concepts we tested was The Real Catwives of Beverly Hills, an absurd reality show parody starring dramatic anthropomorphic cats. The concept was intentionally simple. The production challenge was not. At the start, we had no proven workflow. No established process. No roadmap. We simply believed the tools had reached a point where meaningful experimentation was possible.
So we started testing.
Image generation. Video generation. Voice systems. Editing workflows. Prompting techniques. Character consistency methods. Narrative production pipelines.
Most approaches failed. Some almost worked. Many produced results that were impressive one day and completely unusable the next. There were moments when prompting felt less like writing and more like inventing a new programming language in real time.
But every failure taught us something, and those lessons compounded faster than we expected. Watch the complete first episode below, or explore the ongoing experiments on the Zoomies Media channel.
The Six Week Experiment That Changed My Perspective
Earlier in 2026, we launched an experimental project called Zoomies. The goal wasn’t to build a hit show, it was to answer a simple question:
What happens when you try to build an entertainment property using AI native production workflows from the ground up?
One of the first concepts we tested was The Real Catwives of Beverly Hills, an absurd reality show parody starring dramatic anthropomorphic cats. The concept was intentionally simple. The production challenge was not. At the start, we had no proven workflow. No established process. No roadmap. We simply believed the tools had reached a point where meaningful experimentation was possible.
So we started testing.
Image generation. Video generation. Voice systems. Editing workflows. Prompting techniques. Character consistency methods. Narrative production pipelines.
Most approaches failed. Some almost worked. Many produced results that were impressive one day and completely unusable the next. There were moments when prompting felt less like writing and more like inventing a new programming language in real time.
But every failure taught us something, and those lessons compounded faster than we expected. Watch the complete first episode below, or explore the ongoing experiments on the Zoomies Media channel.
The Six Week Experiment That Changed My Perspective
Earlier in 2026, we launched an experimental project called Zoomies. The goal wasn’t to build a hit show, it was to answer a simple question:
What happens when you try to build an entertainment property using AI native production workflows from the ground up?
One of the first concepts we tested was The Real Catwives of Beverly Hills, an absurd reality show parody starring dramatic anthropomorphic cats. The concept was intentionally simple. The production challenge was not. At the start, we had no proven workflow. No established process. No roadmap. We simply believed the tools had reached a point where meaningful experimentation was possible.
So we started testing.
Image generation. Video generation. Voice systems. Editing workflows. Prompting techniques. Character consistency methods. Narrative production pipelines.
Most approaches failed. Some almost worked. Many produced results that were impressive one day and completely unusable the next. There were moments when prompting felt less like writing and more like inventing a new programming language in real time.
But every failure taught us something, and those lessons compounded faster than we expected. Watch the complete first episode below, or explore the ongoing experiments on the Zoomies Media channel.
The Six Week Experiment That Changed My Perspective
Earlier in 2026, we launched an experimental project called Zoomies. The goal wasn’t to build a hit show, it was to answer a simple question:
What happens when you try to build an entertainment property using AI native production workflows from the ground up?
One of the first concepts we tested was The Real Catwives of Beverly Hills, an absurd reality show parody starring dramatic anthropomorphic cats. The concept was intentionally simple. The production challenge was not. At the start, we had no proven workflow. No established process. No roadmap. We simply believed the tools had reached a point where meaningful experimentation was possible.
So we started testing.
Image generation. Video generation. Voice systems. Editing workflows. Prompting techniques. Character consistency methods. Narrative production pipelines.
Most approaches failed. Some almost worked. Many produced results that were impressive one day and completely unusable the next. There were moments when prompting felt less like writing and more like inventing a new programming language in real time.
But every failure taught us something, and those lessons compounded faster than we expected. Watch the complete first episode below, or explore the ongoing experiments on the Zoomies Media channel.
The Real Product Wasn't the Show
The first episodes took weeks. Not because the episodes were complicated but because we weren’t really making episodes. We were building systems. Every scene exposed a new problem and every problem forced us to develop a new process. Those processes became part of a larger production framework so what started as content creation slowly became workflow creation.
Then something interesting happened.
By Episodes Five and Six, we could move from script to finished episode in a single day.
This wasn’t because we suddenly became AI experts. It was because while we were learning our systems improved. The tools improved and because of this our understanding improved. The work wasn’t getting easier. We were simply learning faster.
The Real Product Wasn't the Show
The first episodes took weeks. Not because the episodes were complicated but because we weren’t really making episodes. We were building systems. Every scene exposed a new problem and every problem forced us to develop a new process. Those processes became part of a larger production framework so what started as content creation slowly became workflow creation.
Then something interesting happened.
By Episodes Five and Six, we could move from script to finished episode in a single day.
This wasn’t because we suddenly became AI experts. It was because while we were learning our systems improved. The tools improved and because of this our understanding improved. The work wasn’t getting easier. We were simply learning faster.
The Real Product Wasn't the Show
The first episodes took weeks. Not because the episodes were complicated but because we weren’t really making episodes. We were building systems. Every scene exposed a new problem and every problem forced us to develop a new process. Those processes became part of a larger production framework so what started as content creation slowly became workflow creation.
Then something interesting happened.
By Episodes Five and Six, we could move from script to finished episode in a single day.
This wasn’t because we suddenly became AI experts. It was because while we were learning our systems improved. The tools improved and because of this our understanding improved. The work wasn’t getting easier. We were simply learning faster.
The Real Product Wasn't the Show
The first episodes took weeks. Not because the episodes were complicated but because we weren’t really making episodes. We were building systems. Every scene exposed a new problem and every problem forced us to develop a new process. Those processes became part of a larger production framework so what started as content creation slowly became workflow creation.
Then something interesting happened.
By Episodes Five and Six, we could move from script to finished episode in a single day.
This wasn’t because we suddenly became AI experts. It was because while we were learning our systems improved. The tools improved and because of this our understanding improved. The work wasn’t getting easier. We were simply learning faster.
Why DubStar Exists
Zoomies helped clarify something important about what we’re building with DubStar. The purpose isn’t to chase every new AI tool. The purpose is to create an environment where experimentation happens continuously. A place where ideas can be tested quickly.
Our failures generate useful data and the emerging technologies can be evaluated through actual execution rather than speculation.
In AI, the gap between reading about something and getting in there and building with it is enormous. The people who learn fastest aren’t necessarily the people with the most expertise. They’re the people running the most experiments.
Why DubStar Exists
Zoomies helped clarify something important about what we’re building with DubStar. The purpose isn’t to chase every new AI tool. The purpose is to create an environment where experimentation happens continuously. A place where ideas can be tested quickly.
Our failures generate useful data and the emerging technologies can be evaluated through actual execution rather than speculation.
In AI, the gap between reading about something and getting in there and building with it is enormous. The people who learn fastest aren’t necessarily the people with the most expertise. They’re the people running the most experiments.
Why DubStar Exists
Zoomies helped clarify something important about what we’re building with DubStar. The purpose isn’t to chase every new AI tool. The purpose is to create an environment where experimentation happens continuously. A place where ideas can be tested quickly.
Our failures generate useful data and the emerging technologies can be evaluated through actual execution rather than speculation.
In AI, the gap between reading about something and getting in there and building with it is enormous. The people who learn fastest aren’t necessarily the people with the most expertise. They’re the people running the most experiments.
Why DubStar Exists
Zoomies helped clarify something important about what we’re building with DubStar. The purpose isn’t to chase every new AI tool. The purpose is to create an environment where experimentation happens continuously. A place where ideas can be tested quickly.
Our failures generate useful data and the emerging technologies can be evaluated through actual execution rather than speculation.
In AI, the gap between reading about something and getting in there and building with it is enormous. The people who learn fastest aren’t necessarily the people with the most expertise. They’re the people running the most experiments.
The Biggest Shift Happening in Marketing
Many people still talk about AI as a content generation tool. I think that’s too narrow. The bigger story is learning acceleration. AI dramatically reduces the cost of experimentation.
When experimentation becomes cheaper, organizations can learn faster. Teams that learn faster build better systems. Better systems produce better creative. Better creative produces better business outcomes.
The advantage isn’t simply creating more content. The advantage is discovering what works before everyone else does.
The Biggest Shift Happening in Marketing
Many people still talk about AI as a content generation tool. I think that’s too narrow. The bigger story is learning acceleration. AI dramatically reduces the cost of experimentation.
When experimentation becomes cheaper, organizations can learn faster. Teams that learn faster build better systems. Better systems produce better creative. Better creative produces better business outcomes.
The advantage isn’t simply creating more content. The advantage is discovering what works before everyone else does.
The Biggest Shift Happening in Marketing
Many people still talk about AI as a content generation tool. I think that’s too narrow. The bigger story is learning acceleration. AI dramatically reduces the cost of experimentation.
When experimentation becomes cheaper, organizations can learn faster. Teams that learn faster build better systems. Better systems produce better creative. Better creative produces better business outcomes.
The advantage isn’t simply creating more content. The advantage is discovering what works before everyone else does.
The Biggest Shift Happening in Marketing
Many people still talk about AI as a content generation tool. I think that’s too narrow. The bigger story is learning acceleration. AI dramatically reduces the cost of experimentation.
When experimentation becomes cheaper, organizations can learn faster. Teams that learn faster build better systems. Better systems produce better creative. Better creative produces better business outcomes.
The advantage isn’t simply creating more content. The advantage is discovering what works before everyone else does.
WATCH / SOURCE MATERIAL
THE REAL CATWIVES OF BEVERLY HILLS, EPISODE 1
THE REAL CATWIVES OF BEVERLY HILLS, EPISODE 1
What Six Weeks Taught Us
Zoomies wasn’t a massive hit. And that’s perfectly fine because the most valuable output wasn’t views it was knowledge.
In six weeks, we gained more practical understanding of AI workflows, creative production systems, and emerging tools than we could have gained from months of meetings, presentations, webinars, or planning sessions. That’s what makes this moment in technology so exciting! We’re watching an entirely new set of creative capabilities emerge in real time and the people gaining the most from it aren’t waiting for the technology to mature. They’re jumping in and learning alongside it.
What Six Weeks Taught Us
Zoomies wasn’t a massive hit. And that’s perfectly fine because the most valuable output wasn’t views it was knowledge.
In six weeks, we gained more practical understanding of AI workflows, creative production systems, and emerging tools than we could have gained from months of meetings, presentations, webinars, or planning sessions. That’s what makes this moment in technology so exciting! We’re watching an entirely new set of creative capabilities emerge in real time and the people gaining the most from it aren’t waiting for the technology to mature. They’re jumping in and learning alongside it.
What Six Weeks Taught Us
Zoomies wasn’t a massive hit. And that’s perfectly fine because the most valuable output wasn’t views it was knowledge.
In six weeks, we gained more practical understanding of AI workflows, creative production systems, and emerging tools than we could have gained from months of meetings, presentations, webinars, or planning sessions. That’s what makes this moment in technology so exciting! We’re watching an entirely new set of creative capabilities emerge in real time and the people gaining the most from it aren’t waiting for the technology to mature. They’re jumping in and learning alongside it.
What Six Weeks Taught Us
Zoomies wasn’t a massive hit. And that’s perfectly fine because the most valuable output wasn’t views it was knowledge.
In six weeks, we gained more practical understanding of AI workflows, creative production systems, and emerging tools than we could have gained from months of meetings, presentations, webinars, or planning sessions. That’s what makes this moment in technology so exciting! We’re watching an entirely new set of creative capabilities emerge in real time and the people gaining the most from it aren’t waiting for the technology to mature. They’re jumping in and learning alongside it.
Looking Ahead
If the period from October 2025 through June 2026 taught me anything, it’s this: The future won’t be built by the people waiting for AI to settle down. It will be built by the people willing to experiment while it’s still changing, because every test creates learning and every project creates insight.
In a world where technology evolves weekly, learning may be the most valuable competitive advantage of all.
Looking Ahead
If the period from October 2025 through June 2026 taught me anything, it’s this: The future won’t be built by the people waiting for AI to settle down. It will be built by the people willing to experiment while it’s still changing, because every test creates learning and every project creates insight.
In a world where technology evolves weekly, learning may be the most valuable competitive advantage of all.
Looking Ahead
If the period from October 2025 through June 2026 taught me anything, it’s this: The future won’t be built by the people waiting for AI to settle down. It will be built by the people willing to experiment while it’s still changing, because every test creates learning and every project creates insight.
In a world where technology evolves weekly, learning may be the most valuable competitive advantage of all.
Looking Ahead
If the period from October 2025 through June 2026 taught me anything, it’s this: The future won’t be built by the people waiting for AI to settle down. It will be built by the people willing to experiment while it’s still changing, because every test creates learning and every project creates insight.
In a world where technology evolves weekly, learning may be the most valuable competitive advantage of all.
We are more than an agency. We are a global collective focused on bringing creativity and innovation to consumer brands. We leverage our deep experience to partner with industry leaders and inspired brands, bringing big ideas to life and moving business forward.
©2026 Brandissimo.us
Let's Chat
hello@brandissimo.us
Careers & Applications
hiring@brandissimo.us
We are more than an agency. We are a global collective focused on bringing creativity and innovation to consumer brands. We leverage our deep experience to partner with industry leaders and inspired brands, bringing big ideas to life and moving business forward.
Let's Chat
hello@brandissimo.us
Careers & Applications
hiring@brandissimo.us
©2026 Brandissimo.us