How To Leverage A.I Art Tools For Success
Chris Do and AI expert Brian Sykes reveal a definitive suite of AI tools and practical workflows for creatives to master their craft.
Chris Do
Founder, The Futur™ · September 5, 2023
A Crisis Is a Terrible Thing to Waste
For many creative professionals, the rise of artificial intelligence feels less like a new frontier and more like an existential threat. It’s a quiet hum of anxiety, a fear of obsolescence that grows louder with every new model release. But what if that crisis is actually a catalyst?
For Brian Sykes, an industry veteran with over two decades in design and branding, that question was not a hypothetical. When the COVID-19 pandemic hit, it decimated his business, AdJourney, which he had run for nearly 24 years. In a single year, he lost 80 percent of his receivables.
It was a moment that would have broken many. “I'm in a safe place financially,” Sykes recalls thinking, “but this gives me a chance to kind of step back and figure out where I want to go.”
Instead of rebuilding what was lost, he pivoted. Sykes launched Headspace Branding to focus on the part of his work he loved most. Simultaneously, he dove headfirst into the world of generative AI, exploring the early iterations of tools like Midjourney just as Chris Do was beginning to share his own experiments.
Sykes quickly realized he was standing in a new, uncharted territory. “I realized there's nobody out there really focused on telling other people how to do this stuff,” he says. He saw a void where clear, fundamental instruction for creatives should be. This led him to a new mission: teaching generative AI to other creatives, every single day.
His story is not just one of survival. It is a playbook for reinvention. It proves that the greatest creative tools are often forged in moments of intense pressure, and that the perceived threat of technology can become a creative’s most powerful ally.
The New Creative Toolkit: A Survey of the AI Landscape
The world of generative AI is expanding at a dizzying pace, with new platforms and capabilities emerging constantly. For a creative professional, just knowing where to start can feel overwhelming. Sykes provides a comprehensive but curated overview of the tools that matter most, broken down by function.
This is not a list of every tool available. It is a strategic map of the platforms delivering real value to creatives today.
Generative AI for Images
The most visible application of AI in the creative space has been text-to-image generation. These platforms transform written prompts into visual art, illustrations, and photorealistic images, but their outputs and interfaces vary widely.
Sykes highlights several key players:
- Midjourney: The platform that “definitely gets the most attention when it comes to what you can do visually.” Sykes calls it the essential starting point for any creative, a powerful tool whose possibilities are “remarkable.” Its only current limitation is its reliance on Discord, though a web version is anticipated.
- SDXL 1.0: The latest version of Stable Diffusion from Stability AI. The quality is a massive leap forward from previous versions, producing images that are now highly competitive with Midjourney. By making it available on Discord, Stability AI is using the community as a massive training ground to accelerate its improvement.
- Leonardo AI: A powerful tool built on a Stable Diffusion backend that has “surprised everybody with the quality that it's producing.” It offers unique features like generating up to eight images at once and robust control through negative prompts.
- Lexica: This platform excels at a more illustrative and simplified style. While not aiming for the photorealism of Midjourney, it serves as an excellent source of inspiration for illustration-focused projects.
Beyond simple text-to-image, a new class of tools focuses on image editing and manipulation. Sykes points to Pixelcut, an application for product mockups. Users can upload a product image with a transparent background, select from dozens of scenes, and instantly generate realistic photos of the product in that environment.
He says, “I could take this image, bring it into Adobe Photoshop beta, fill in around the image, and I’ve got an image pretty much mockup ready for social media posting.”
This is where Adobe, despite lagging in pure text-to-image quality with its Firefly model, shows its true power. The integration of generative AI into Photoshop Beta is a monumental shift. While creating an image from a blank canvas in Photoshop still yields low-quality results, its ability to use an existing image as a reference point is unmatched. By selecting an area and typing a prompt, a designer can add, remove, or change elements with startling speed and accuracy.
The Voice in the Machine
The revolution is not just visual. Generative AI is transforming audio production, from cleaning up poor recordings to generating entirely new voices and music.
For anyone producing podcasts or video content, Adobe Podcast is a must-have tool. Its Enhance Speech feature is currently free and can transform low-quality audio. Sykes notes it “removed all the hum, all the buzz, all the background noise, and it sounds like I'm speaking directly into a microphone in a professional setting.”
But the real frontier is in speech synthesis, where platforms create realistic human voices from text. Among these, Sykes crowns a clear winner: ElevenLabs.
“This is by far my favorite,” he says. “The sound quality is so rich.” The platform can capture the proper cadence and rhythm of a human speaker, and it can even be trained on your own voice to create a digital clone. Chris Do himself notes, “I have friends who've taken my voice and just showed me what's possible, and it's pretty close.”
Sykes shares an anecdote about a friend who produces podcast training. He records his intro and outro himself to capture his full personality, then uses his cloned ElevenLabs voice to read the main script. The transition is seamless. This strategy allows creators to maintain an authentic, high-energy connection with the audience while saving immense time on production.
Other notable voice and audio tools include:
- Murph and Speechify: Decent alternatives to ElevenLabs, though Sykes finds their quality less impressive. They offer a lower barrier to entry for those just starting out.
- Descript: Originally designed for editing audio by editing a text transcript, Descript can also clone a voice to replace misspoken words. It's more of a surgical tool than a full-text-to-speech engine.
- Mubert: This platform generates AI music. Sykes is impressed, calling it the first generative music tool he’s seen that sounds truly decent. Users can match tracks to different rhythms or even provide a YouTube link as a reference, and Mubert will create new music inspired by that sound. This capability offers a powerful alternative to stock music libraries, a process he likens to where image generation was a year prior. It is coming, but it is still early.
From Still to Motion: The AI Video Revolution
Once the domain of complex software and massive render farms, video creation and editing are being democratized by AI. Sykes breaks down the key players shaping this rapidly evolving field.
Runway has emerged as a leader, evolving from a standard image generator into a powerful video tool. Its first breakthrough, Gen-1, allows a user to apply the style of an image to an existing video. Sykes demonstrates this by transforming a video of his son playing handball into an animated sequence.
But Gen-2 is where the true disruption lies. It can generate a video from a single image or, even more impressively, from a text prompt alone. One example shows a static, reflective image from Midjourney animated with a slow, panning motion. “It’s actually pretty decent considering it's starting from just an image,” Sykes observes.
Another game-changing tool is Wonder Dynamics, from the company Wonder Studio. This platform effectively automates motion capture. A user can upload a video, select a character, and the tool replaces the human in the video with a 3D model that mimics their exact movements. Sykes shows a video of his son on a climbing wall, seamlessly replaced by a sci-fi character.
He notes the technology isn’t perfect; it struggles with interactions with 3D objects in the scene. Yet, the quality is remarkable for such a new application. With industry heavyweights like Steven Spielberg on the board of directors, Wonder Dynamics signals a major shift for film and animation. This is a path toward mocap without the need for technical cameras or expensive equipment.
Other important video tools include:
- Kaiber: A fun and artistically focused tool that excels at creating wild, expressive animations from a single image, perfect for music videos or abstract visual content.
- D-ID: A popular tool that animates a static portrait, allowing it to speak with a provided audio track. Though the results can be rudimentary, the technology is improving rapidly and offers a simple way to bring characters to life.
These tools are not just novelties. They represent a fundamental change in the creative workflow, compressing timelines and lowering the barrier to entry for high-quality video production. This shift in accessibility is similar to the changes seen in creating passive income streams with creative skills.
The Creative Copilot: AI for Copy and Logic
While image and video tools capture the imagination, Sykes argues that the most profound impact of AI for creatives lies in text-based platforms, particularly chatbots. This is where he has the most fun and sees the most potential to revolutionize how creatives think and work.
“Even though I have a lot of fun with Midjourney…this is where I have a lot of fun as a creative,” he explains. “In the AI space with chatbots.”
At the top of his list is ChatGPT. “This to me is by far the best platform out there currently for engaging and conversing,” he states. While the base version uses a fixed dataset, its ability to connect to the internet via plugins makes it a powerful and versatile research and ideation partner.
Sykes contrasts it with other major players in the space:
- Claude: Pitched as the “ethical rival” to ChatGPT, Claude is an impressive platform with high-quality output and a direct connection to the internet. However, Sykes questions the “rival” framing, as many of these models are built on the core technology pioneered by OpenAI.
- Microsoft Bing: Running on a version of GPT-4, Bing Chat is decent but flawed. It has a tendency to inject strange, non-sequitur suggestions and is heavily monetized, functioning more like a sales-driven search engine than a pure creative partner.
- Google Bard: Sykes is most critical of Bard, calling it “a liar.” He describes feeding it his own book, only for Bard to begin fabricating details in its summary. When corrected, it would apologize and then proceed to make different mistakes. The tendency to “hallucinate” or confidently present false information makes it the most unreliable of the major platforms.
Before ChatGPT, a wave of specialized copywriting tools like Jasper, Copy.ai, and WriteSonic emerged. While they were pioneers, Sykes believes their market is in jeopardy. He finds that he can achieve similar, or even better, results within ChatGPT by providing it with specific instructions and copy samples. By telling it to “sound like or write like” a certain source, a user can train ChatGPT for a specific voice, rendering many single-purpose writing tools redundant.
The AI-Integrated Workflow in Practice
The true power of AI is not in using these tools in isolation but in integrating them into a cohesive creative workflow. Sykes demonstrates several practical, real-world examples of how to move from a blank page to a finished concept using AI as a partner.
AI in Brand Strategy
Sykes starts with a process familiar to anyone who follows The Futur: defining brand attributes. He takes the output from an hour-long discovery interview and feeds it into ChatGPT. The information is organized under core categories: Culture, Customer, Voice, Feel, Impact, and X-Factor.
His prompt is crucial. He doesn’t just ask for a summary. He gives the AI a specific task: “Choose a set of three brand attributes with one direction attribute for each…that go together in a unique and unexpected way.” He also asks, “Does this make sense so far?” This step is vital to ensure the AI understands the objective before it begins.
ChatGPT responds by selecting “Fun,” “Funny,” and “Fosters positive relationships.” It then explains its reasoning: “These three direction attributes come together to paint a picture of a brand that doesn't take itself too seriously…but deeply values the connections it builds with its customers.”
This process removes the designer’s personal bias and uncovers connections based purely on the client’s own words. From there, Sykes directs the AI to use these attributes to build out the foundational elements of a mood board, asking for recommendations on typography, color, imagery, and examples of other brands with a similar style. The result is a complete creative direction a designer can immediately run with, a process that resonates with the principles of developing a winning brand strategy.
AI in Ad Concepts
To break through creative blocks in advertising, Sykes uses a framework from Tom Chrisman and Paul Fix’s Ad House of Cards, a deck with 35 proven advertising techniques. He programs ChatGPT with nine of these techniques, such as “Time Travel” and “Make an Enemy.”
He then presents it with a client problem: “I have a client that provides business-to-business solutions targeted at software as a service. From the card deck, what is a creative way to create an ad for this client?”
ChatGPT randomly selects a card, “Time Travel,” and generates an entire ad concept based on it. The concept involves envisioning a world without the client’s product, showing the chaos of the “pre-product era,” and then highlighting its impact. The AI acts as a creative partner, applying a proven framework to a specific problem to instantly generate a viable idea. This strategic approach to creative thinking is a cornerstone of effective strategic marketing.
AI in Ideation and Execution
The applications extend across the entire creative process. Sykes shows how he uses AI for:
- Unlikely Brand Collaborations: Using ChatGPT to dream up novel brand partnerships, like Adidas and Nintendo or Audubon and Starbucks, complete with product concepts and marketing angles.
- Storyboarding: Creating a series of images in Midjourney to visualize a narrative, then using ChatGPT to break a long-form story into ten distinct panels.
- Photo Shoot Planning: Generating stylized images to serve as a visual brief and inspiration for a complex photo shoot, defining the mood, lighting, and composition before ever stepping on set.
- Image Editing: Taking a stock photo into Photoshop Beta and rapidly transforming it: adding graffiti to a wall, replacing a building with a sky, and creating a reflecting pool at the bottom, all with simple marquee selections and text prompts.
This is not about letting the machine do the work. This is about directing the machine with precision and taste.
The fear of AI stems from a misunderstanding of its function. It is not an autonomous creator. It is a powerful instrument that still requires a skilled musician to play it.
Brian Sykes sums it up best: “The beauty of any of the generative AI tools is the strength is the creator who comes to the table. You come with your experience, your capabilities, and the things that are the words that you use to describe something. Your personality imbues itself on the things that you create.”
The tools will change. The platforms will evolve. But the one constant, the one irreplaceable element, is you. Your taste, your vision, and your ability to ask the right questions are the ultimate creative advantage. This mindset is what separates those who simply use tools from those who build a brand that stands out.
Stop fearing the future. Start building it.
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“The strength of AI is the creator who comes to the table.”
— Chris Do
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