The premium yoga retreat business that proves AI works best where customers never see it
This is the first in a series of case studies from AgentAya, where we talk to real business owners and entrepreneurs about how they’re actually using AI: the good, the bad, and the bits nobody warns you about.
Stephanie’s business is, in her own words, “almost the antithesis of AI.”
Luul runs premium yoga retreats for women. Over 600 have attended. Growth has been almost entirely organic through word of mouth, strong branding, and personal connection. People don’t book because of funnels or optimisation. They book because they trust Stephanie, the person behind it.
And yet, here she is, trying to figure out how AI fits into her business. Not because she wants to be cutting-edge. Because she’s running out of hours.
“I feel like I’m creating a bit of a monster,” she says, “that I need to control now rather than in a couple of months, because it’s going so fast.”
The gap between awareness and action
Stephanie isn’t unusual in being curious about AI. What’s interesting is how universal the hesitation is, even among successful business owners.
She describes a recent coffee with an Instagram influencer and another business owner. All three run successful businesses. All three are aware that AI tools exist. And all three admitted the same thing: “We all want to use AI, but ultimately we just don’t understand how it works.”
This is the reality for most SME owners right now. They see the ads. They hear other founders talking about it. Everyone seems to be “using AI.” But awareness isn’t confidence. And confidence is what you need before you spend time on something that might not work, or worse, make you look like a robot to customers who expect a human.
The first experiment: copywriting
Stephanie’s first real step into AI was Happy Copy, about eighteen months ago. The trigger was simple economics. She’d been paying a professional copywriter around £250 per newsletter. The quality was excellent. But at that price, it wasn’t sustainable as the business scaled.
Happy Copy delivered two surprises. First, it was genuinely useful. Second, it was far easier to use than she expected. For many business owners, the psychological barrier to AI isn’t the subscription cost. It’s the fear that it’ll be complicated, frustrating, or require technical skills they don’t have. When that first experiment goes smoothly, everything after becomes possible.
Switching to Sintra: trading perfection for practicality
About six months later, Stephanie moved to Sintra AI, a platform offering multiple “helpers” for different tasks including copywriting, ideation, and basic business analysis.
The decision was pragmatic. Happy Copy was strong at one thing, but £50 a month for a single use case felt a bit expensive. Sintra offered a bundle of capabilities for an introductory price of $111 per year. The maths was obvious.
Was Sintra better at copywriting than Happy Copy? Not really, and Stephanie is clear about this. Happy Copy produced slightly better output. But the difference wasn’t large enough to justify the additional cost and complexity of running two AI tools. For most SMEs, breadth beats depth. A tool that does seven things at 80% quality often beats seven specialist tools at 95% quality, because the real constraint is attention, not perfection.
That said, Sintra is far from flawless. It glitches or freezes from time to time. Stephanie describes having to close the whole thing down and restart when it gets stuck. The business ideas it generates are sometimes interesting but “not always quite right for my size business.” And she tried another AI tool for creating videos and reels that looked amazing in the ads but was completely unusable in practice. “I literally could not make head nor tail of it,” she says. She signed up and unsubscribed the same day. This is the reality that the marketing glosses over. These tools can be genuinely helpful, but they’re also buggy, inconsistent, and sometimes just don’t work as advertised. The learning curve is real. And that is exactly why we write the reviews we do at AgentAya. The marketing from AI tools shows you the best-case scenario. Our AI tool reviews break down what the tool actually does, where it delivers, and where it falls short, so you don’t have to find out the hard way.
The hidden requirement: feeding the machine
Here’s something the AI tool marketing rarely mentions. These tools are not really plug-and-play.
Sintra only became useful once Stephanie fed it with her website content, previous newsletters, Instagram posts, and enough context about her brand and voice. Before that, everything it produced was, in her words, “vanilla.”
This creates a real divide between businesses that get value from AI and those that don’t. If you already have clear branding, existing content, and a defined voice, AI amplifies it. You’re giving the tool something to work with, and it can match your style. If you don’t have that foundation, AI exposes the absence. It produces generic content because you’ve given it nothing specific to learn from.
This also explains why switching tools feels expensive once you’ve invested the time. Stephanie considers herself “quite loyal” to Sintra now, not because it’s perfect, but because starting over with a new tool means re-feeding all that context. The hardest part isn’t the subscription. It’s the setup.
This is one of the reasons we created a detailed Sintra implementation guide: a step-by-step walkthrough covering how the platform actually looks and works, how to get started, best practices for feeding it your brand content, with screenshots and videos throughout.
Where AI works (and where it doesn’t)
The most interesting part of Stephanie’s journey is where she draws the line, and how that line has shifted through trial and error.
Newsletters work well. People write back to her AI-assisted newsletters saying things like “so personal, amazing.” With enough guidance and editing, the output passes completely. Recipients have no idea.
Instagram posts are a different story. Sintra tries to generate them automatically each week, but Stephanie has mostly stopped using that feature. “It’s so obvious what it is,” she says. “I can see other people who are trying to grow their Instagram accounts, and it’s AI generated, you can spot it a mile off.” She’s not willing to risk her own brand looking the same.
Visuals are where she draws the hardest line. Her website originally used polished stock photography. It looked beautiful. It also looked fake. She had a friend send the site to ten people and ask if they’d book a retreat. All ten said no. The feedback: “It looked like a wedding album.” They replaced every image with real photos from actual retreats. Less polished, but real. Bookings improved.
There was one moment that captured the tension perfectly. Sintra generated a promotional image using her Instagram photos, and half the women in it had been on actual retreats with her. The other half were AI-generated faces. “Blimey, that’s scary,” she says. It was impressive and unsettling at the same time.
The real opportunity is backstage, not front stage
So where does AI actually help a business built on human connection? The answer, for Stephanie at least, isn’t in the customer-facing moments.
It’s in the admin. She has 64 women coming on retreats this month alone. Each one requires information: previous injuries, dietary requirements, massage preferences, room allocation, phone numbers, addresses. Currently, she collects some of this manually, six weeks before each retreat, one person at a time. “When you’re doing that for 64 people,” she says, “that’s a lot of organisation.”
This is where AI and automation feel like relief rather than risk. Collecting structured information. Reducing back-and-forth. Pre-filling forms so that when Stephanie does have a human conversation, which she still wants to have, it’s a better conversation. She can ask about the knee injury rather than asking whether there is one.
The principle is simple: AI should handle what’s boring so humans can do what’s meaningful.
The antithesis of AI, and why that’s the point
There’s something almost paradoxical about a yoga retreat business using AI. People book Luul specifically to get away from technology. They want presence, connection, calm.
But that’s exactly why AI has a role, if it’s used correctly. The goal isn’t to automate the experience. It’s to automate everything around the experience, so that more energy goes into the parts that actually matter.
“My business is almost the antithesis of AI,” Stephanie says. “People are craving to get away from tech.”
If a business that exists as a refuge from technology can still find valuable uses for AI, then the question isn’t whether AI fits your business. It’s which parts of your business should never feel automated, and which parts absolutely should.
What happens next
This isn’t a finished story. Stephanie is still figuring out the buyer journey automation. Still testing what works and what doesn’t. Still balancing the human brand with the operational reality of a business that’s scaling faster than expected.
We’ll follow up once those systems are live, including what worked, what failed, and what turned out to be harder than expected. Because for most business owners and entrepreneurs, that’s the part that actually matters.
Luul runs amazing premium yoga retreats for women. Learn more at luul.co.
Read our Sintra AI review here.
Follow our Sintra implementation guide to get set up properly .