Turning an idea into a successful SaaS or AI product takes the right strategy, the right team, and flawless execution.

That’s what we do best! We've worked with 50+ B2B companies to build and scale SaaS & AI products that bring results.

With a proven process, clear communication, and a focus on scalability, we make sure your product is built fast and made to laaaast 🚀

Our process involves:

👉 Defining the best product strategy & tech stack
👉 Designing an intuitive & beautiful UX/UI
👉 Building an MVP in 8 to 12 weeks
👉 Scaling it into a robust, full-featured platform

💡 Experts in: React • Django • Node.js • Bubble.io • WeWeb • Xano

Diogo Guerner

How long does it actually take for a non-technical person to build their first AI agent?

Last night at buildersklub, Marvin Aziz from Lindy led a workshop with no buzzwords, no "AI will replace everyone" hype.

But here’s what made it special: we didn’t just talk about AI agents.
We built one. Live. From scratch.

Marvin walked a room full of business folks (most without technical backgrounds) through creating their first AI agent. 

Here is what we learned:

→ AI agents aren’t just fancy chatbots: they’re autonomous systems that can handle complex workflows 
→ You don’t need to be a developer to build them (seriously, we proved it last night) 
→ The key is starting small: one task, one agent, one problem at a time 
→ Memory + Tools + Clear Instructions = Powerful automation

Building with AI is becoming a practical skill rather than a technical barrier. Now that the technology is accessible to everyone, a big differentiator is knowing what to build.

Huge thanks to:
- Berlin Bytes for hosting us
- Marvin Aziz for the incredible workshop and for being so grounded in practical insights. 
- And everyone that joined.

Thank you for being part of the Klub. See you at the next one! 🚀

CEO @Naviu / Launch digital products & AI solutions at startup speed

Is the secret to scaling AI and Automation actually... boring? 

For the final stop of the German AI Roadshow by Make and buildersklub, we skipped the hype and looked at the plumbing. 

We had the pleasure of hosting Florian Kristof (Peter Park) and Fabian Q. Veit (CEO of Make) to discuss why you have to “start boring” if you want to build fast.

Florian’s team of three manages nearly 600 active scenarios. His main takeaway? If you don’t have a strict foundation, you’re not building a product. You’re building a “maintenance trap.”

Here are the highlights that stood out to me:
- "Start Boring": Before building fancy AI agents, you need the basics. Strict naming conventions and a solid decision framework are the only ways to survive scaling from 100 to 600 scenarios.

- Catching “Silent Failures”: Errors are easy to spot; it’s the triggers that don’t fire that kill you. They built a custom observability layer to catch these “silent failures” before the business even notices.

- The “AutoMax” Feedback Loop: They built a mascot bot that automatically surveys users. If a workflow isn’t providing value, they kill it. It’s product thinking applied to automation—focus on impact, not just output.

- AI Documenting AI: To prevent documentation from suffering during growth, they use AI agents to automatically write documentation for every scenario and review builds against internal design principles.

Fabian also shared some heavy-hitting strategic insights:

- The Reliability Mix: Long-term impact isn't created by AI alone, but by combining intelligent components with reliable, rule-based automation.

- The CEO’s “Second Brain”: Fabian uses a custom Telegram bot to triage links, ideas, and screenshots based on his calendar context, allowing him to stay fully present in the real world.

It’s easy to get distracted by the "magic" of AI, but the companies actually winning are the ones treating automation as a disciplined craft. 

No buzzwords. No nonsense. Just clear, practical implementation.

Huge thanks to Florian, Fabian, and the Make team for closing out this series with such grounded, practical insights. And a shoutout to Roger P. for showing everyone exactly how to build their own AI task manager.

Thank you for being part of the klub!

#MakeAIWorldTour

Patrick Jacolenne

Founder @ DATALOGIQ 360 | Battle-Tested Insights on Data, Leadership and Culture 📈🌐#CertifiedData #DataasaProduct #DataStrategy

The future of Data & AI isn’t governed or compliant. It’s Certified.

And we’re pioneering that future now.

From banking executive to founder, I’ve spent my career turning data governance and regulatory compliance from a cost center into an engine of value, where data isn’t just governed, it’s certified and monetized.

Join us as we move the industry from Data Governance & Compliance to Certification.

Dean's Leadership Council (Advisory Board)

The UCI Information & Computer Sciences Dean's Leadership Council is an advisory board of executive-level leaders who's goal is to advance the research, teaching and public service goals by strengthening the school's ties to industry and the community.

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