Keeping up with AI can feel like clinging to a bullet train:  thrilling, exhausting, but unavoidable. For generalist marketers, already stretched thin by smaller teams and growing demands, AI is both a lifeline and a challenge, offering new efficiencies while raising expectations.

But where should your attention go? Which tools actually move the needle? And how do you use them to get more done without burning out?

To find out, I spoke with six experts from across Myosin, each tackling a different slice of marketing, each with a unique level of technical fluency. Together, their experiences show how AI is reshaping everything from content and operations to creative strategy. Whether it’s generating human-sounding copy, automating the boring stuff, or pushing the boundaries of what’s possible, their stories reveal what it takes to make AI work in the real world.

Let’s dive in.

Victoria is a powerhouse of productivity, juggling Myosin accounts, writing thought leadership pieces for clients, and executing brand strategy. In conversation, she stresses the importance of viewing AI strategically as a tool to amplify one’s creativity, but “never as a replacement.”

"I use it every day," she explains. "If I need a transcript distilled into an operations template or a recap formatted for Telegram, Notion, and Slack, I can generate three versions instantly, it already knows how I like my notes and follow-ups."

Her toolkit includes Perplexity for research, website copywriting with ChatGPT, and tone-of-voice development with Claude. 

When it comes to thought leadership posts, Victoria has crafted her process with intent. "Claude is phenomenal when I'm building a unique tone of voice for a client," she adds. "I can pull three months of tweet history, turn it into 30 templates, and feed those into Claude. From there, I can generate first drafts for announcements or posts that need only minimal editing."

Victoria is particularly proud of her ability to make her pieces undetectable by AI-detection tools.  “The trick is to make it sound like a real thought leader wrote it,” she says. “Vary sentence length, cut out hypotheticals and listicles, avoid things like emojis or em dashes, and keep the tone casual but professional." Every piece is thoroughly reviewed, a process that also serves to train the model for an even higher degree of accuracy, while keeping her content fresh.

Matt gets a lot of value out of using AI for iterative strategy conversations. “I use AI like a sparring partner, not a vending machine. I’ll feed it market research and ask ‘What tensions do you see here?’ Or “What's something this brand would never admit about itself but really should?” Then I push back hard and edit ruthlessly. “People spend so much time effort and money on ‘the perfect prompt.’ And while that’s certainly important, the real magic happens through ongoing dialogue."

“‘Play devil’s advocate with this idea’, ‘Give me 5 outrageous ways to [solve problem]’ or ‘What tensions exist in this data?’” are some of the prompts he recommends trying. “AI is brutally honest about its flaws,” he says, adding that these kinds of prompts push past obvious solutions.

When it comes to LLMs, Matt advocates experimenting across models and using different ones for different purposes. Claude Sonnet is his go-to for copy: “It’s phenomenal at capturing the human spirit, being witty and clever without feeling robotic.” On the other hand, Grok serves as his “culture scout,” especially for Web3 and crypto. “It’s tied to crypto Twitter, so I get the raw market pulse, not sanitized corporate takes.”

Matt also recommends playing with personas and using creative filters. “I’ll literally say ‘Have David Ogilvy and Gary Vee audit this marketing plan,’ or ‘ask, ‘Rewrite this as if Hunter S. Thompson was launching a productivity app!”’ You get perspectives that push you way past your own defaults.

One of the many ways Alex integrates AI into his day-to-day is by using LLMs as experts or strategic advisors to pressure-test his ideas and identify gaps in his thinking, whether at Myosin or with his company Madscript, which helps founders build a personal brand.

“I don’t just stop at the initial prompt,” he explains. “I’ll set a clear role and context. For example, act as a critical strategist, then feed in source material, and then have a real back-and-forth conversation. That’s where the insights emerge,” he says. 

Alex leans heavily into voice-to-text tools like OpenAI’s Whisper, which not only increases the speed of his prompting but also allows him to work on the move. He’s not alone: industry experts expect a rapid shift in AI prompting from text to voice in the coming years. 

When it comes to research and learning, Alex uses Google’s NotebookLM to quickly digest huge quantities of diverse content, from YouTube videos to long PDFs, in the form of a podcast.  While his AI toolkit is vast, what really excites Alex at the moment is how AI is revolutionizing video production. “Video used to be something I admired but never touched,” he says. “Now, being able to generate clips from text feels like a huge unlock for creators, though it also means average content won’t cut it anymore. The bar is rising fast!”  

For Reggie Tan, a senior growth marketer and fractional CMO, AI is indispensable. “Not a day goes by where I’m not using it,” he says. Reggie constantly experiments with new tools, often spending weekends building AI agents to streamline his work.

He is a strong proponent of using AI for automation. Across his businesses, he’s mapped out repetitive tasks and built custom workflows using n8n to eliminate the grunt work.

At the coworking space he runs, Reggie created automated systems for clients. “When someone puts our number into WhatsApp or Telegram, it pulls up an AI we built called Garrison,” he explains. Far from a basic chatbot, Garrison combines vector databases, LLMs, and real-time research. He’s even testing Eleven Labs for voice bots that respond via voice notes.

Not only that, Reggie also built a scheduling tool that uses multiple LLMs (ChatGPT, Grok, and Claude) to draft and publish posts automatically. Each model has its particular strengths and weaknesses; it’s important to figure out which one works best for your desired output. 

However you’re using it, Reggie’s recommends integrating AI across multiple tools. “This is where AI becomes truly powerful,” he says. Tools connected to one another and automated unlock compounding benefits. That takes time and upskilling, but it’s the direction things are heading. 

Like others on the team, Reggie is clear-eyed about the importance of staying on top of AI. “It’s like jumping on a moving train,” he says. “People who make the leap are reaping the benefits. Others who ignore it will get left behind.”

⚒️ Pro tip: n8n is great if you're technically minded. For no-code alternatives, try Zapier.

Bettina Sosa, a full-stack engineer and developer relations specialist, takes AI to the next level. “I use it for coding, research, and breaking down complex documentation, especially in Web3, where things can be academic and hard to follow.”

Her AI toolkit includes Cursor for coding, Claude for technical support, and Perplexity for fast, broad-spectrum research. At Myosin, she’s building internal systems to capture and share collective knowledge so clients benefit from the entire network’s expertise, not just the team assigned to their brief. It’s still in progress, but potentially transformative.

Her personal projects reflect AI’s creative range. She’s built a journaling therapist that turns daily reflections into anxiety-reduction strategies. She launched The Eight Personalities of Crypto, an onchain personality quiz. And she created OneThoughtADay.com, a minimalist site for collective daily reflection.

Lately, she’s been digging into privacy-preserving tech and using LLMs as a study aid. “I started with zero-knowledge proofs, but wanted to understand Trusted Execution Environments better,” she says. “So I asked AI to explain it with diagrams. I’m visual, soseeing where things come from really helps.”

Like Reggie, Bettina suggests connecting multiple tools for maximum impact. “AI becomes most powerful when it’s integrated with Notion, Airtable, Gmail, and Google Docs. That’s when it really helps marketers organize and analyze information.”

Vincze and his team have built an autonomous system that manages day-to-day operations and holds everyone accountable. It connects to all company communication — from Telegram chats to video calls — and listens for tasks being discussed. When someone mentions a to-do, the AI logs it, assigns an owner, sets a priority, and tracks progress on a live dashboard.

“The AI is kind of like our boss,” Vincze laughs. “If I don’t complete something and it stalls, it pings a colleague to check on me.”

What makes the system powerful is that it runs automatically. If a task is marked as done in a meeting, the AI hears that too and closes it without anyone lifting a finger.

According to Vincze, the system works because nearly all of the company’s operations happen online and even when they don’t, the AI captures the data.

By building AI directly into their workflows, domino.run is showing how lean teams can operate with the precision and consistency of much larger ones.

The Future Belongs to Marketers who Embrace AI Today.

These interviews are just a snapshot of how marketers across our network are using AI. While there are common threads, there’s no one-size-fits-all approach. What is clear is that the marketers who will make the biggest impact tomorrow are the ones actively experimenting, testing, and evolving today.

At Myosin, we’re doing the same. We’ve helped teams triple their content output, cut lead-gen costs in half, and scale without burnout: not by working harder, but by working smarter with AI.

This space is moving fast. We're not chasing the bullet train. We're already on it.

Curious to explore how Myosin can help you get the most out of AI? Book a call with us.