When Thorne came to us their brief wasn’t “help us experiment with AI.” They were looking for an evolution.

After recently refreshing their brand, they were ready to extend the new system across product, marketing, and commerce. Exploring AI-driven solutions felt like a natural next step. So, instead of proposing another roadmap deck, we suggested something different: a three-day immersion session that we call VibeSprint.

This idea grew out of the impact we’d seen from our pro-bono initiative, Build Week. When you compress strategy and making in the same room, with the right mix of people, magic happens. VibeSprint is our way of bringing that same energy to key clients: a tailored, hands-on experience that condenses weeks of strategy, experimentation, and execution into a focused, time-boxed sprint.

For Thorne, it wasn’t about abstract AI exploration. It was about applying intelligence to real workflows to see how we could meaningfully transform how marketing functions. It’s like an operating model intervention disguised as a three-day workshop.

Day One: Alignment Before Acceleration

We came into the sprint with a deliverables mindset. Our initial plan was to jump right into prototyping to get to tangible proof on what AI could do. A few hours into day one, we quickly realized sticking to that idea would have been a mistake.

Twenty team members from across Thorne — lifecycle, performance, e-commerce, creative, and operations — came together for the session. As we spent time with the group, it became clear that operational practices varied widely across teams. So when it came to AI, adoption varied too.

Some teams were already experimenting enthusiastically. Many felt stuck on how to apply it. And, others questioned output quality. The opportunity was clear, but so was the friction.

Before you can move faster, you have to create alignment. So we pivoted. Instead of continuing to push toward deliverables, we stepped back and focused on bringing the team together around a shared understanding.

We created space to talk openly. We listened, aligned, and worked through it together. Then we reframed AI as a collaborator that could take on repetitive work and create space for higher-value thinking.

Together, we built a shared understanding of AI’s value. That became our first real deliverable. Curiosity replaced hesitation. Conversation turned into experimentation. And that shift set everything else in motion.

Lifecycle: From Email Production to Process Innovation

The lifecycle team came in with a clear goal: generate more content, faster. And yes, AI could absolutely help with that. But we saw a bigger opportunity.

Instead of using AI solely to produce emails, we moved upstream, inviting the team to rethink where intelligence could have the greatest impact. Together, we explored how AI could:

• Analyze performance patterns
• Identify engagement trends
• Enrich personas with panel modeling
• Automate the translation of Figma designs into Iterable-ready HTML

The shift was subtle but powerful. AI didn’t just have to accelerate asset production. It could strengthen the connection between insight and execution, helping every email work harder and perform better.

Performance: Briefs as Living Systems

For the performance marketing team, we helped them reimagine the creative brief.

By integrating campaign insights from Motion, we developed a more actionable brief template inside Wrike. AI helped gut-check positioning, generated persona-tailored messaging, and enabled rapid iteration using RunwayML — all before launch.

The unlock was structural. The team moved from static briefs to dynamic, insight-driven frameworks. Campaign learnings no longer lived in post-mortem decks. They were embedded directly into the workflow, fueling the next iteration in real time.

Commerce: Prototyping at the Speed of Thought

The e-commerce team explored how AI could compress the path from insight to interface design.

Through AI-assisted audits, content brief generation, and rapid prototyping, we developed interactive concepts focused on:

• Goal-centered shopping journeys
• Education-driven PDPs
• Personalization quizzes

Ideas moved fluidly from Gemini into Figma and into collaborative iteration, reducing the lag between thinking and making.

The kind that sharpens clarity, strengthens alignment, and ultimately builds belief through shared velocity.

The Real Deliverable: A New Way of Working

Did we produce every asset originally scoped? No.

Did we create something more durable? Absolutely.

VibeSprint compressed what typically takes months into three focused days. But the real unlock wasn’t technical. It was cultural.

Teams left with:

• Stronger cross-functional alignment
• A clearer understanding of where AI reduces friction
• Practical integrations within real workflows
• Confidence to experiment and evolve

AI adoption doesn’t fail because of tools. It breaks down when teams aren’t aligned and value isn’t clear.

For Thorne, the sprint didn’t just generate outputs.

Because the future of work isn’t about automating tasks. It’s about redesigning systems that can flex and grow.

And that’s the real impact.