DIY Automation

In today's fast-paced world, efficiency and productivity aren't just buzzwords—they're essential for survival and growth. But what if you could achieve unprecedented levels of both without relying on complex, costly, and time-consuming custom development? That's the promise of Automation DIY-Style.

We help you streamline operations and boost productivity by enabling to automate repetitive business processes with AI—freeing up your team to focus on what matters most.

Our approach isn't about teaching you to code. It's about equipping you with the mindset and tools to leverage powerful, user-friendly AI-driven platforms.

The method

  • 1. Identify repetitive tasks that are ripe for automation.

  • 2. Utilize no-code/low-code AI tools to build custom automation solutions.

  • 3. Integrate these solutions seamlessly into your existing systems.

  • 4. Monitor and optimize your automated workflows for continuous improvement.

Insights from the NoCode Summit

Just recently, GEDANKENFABRIK was on day two of the NoCode Summit in Paris, where we explored the transformative potential of No- and Low-Code applications with AI. Integrating GenAI into these platforms is fundamentally reshaping how products are developed, enabling faster and more cost-effective solutions for businesses like yours.

We saw firsthand how No-Code and Low-Code technologies have matured, evolving from simple MVPs to comprehensive, scalable systems. Companies like Xeno are now positioning themselves as the "Backend for Visual Development," while Airtable demonstrated how their system seamlessly integrates with ongoing operations. Platforms like Make and Bubble are leading the way in visual workflow development enhanced with AI, and Stacker highlighted the critical advantage of having a single source of truth for your data.

With Generative AI, even more complex processes are now within reach. Low-Code platforms provide the framework to seamlessly integrate custom AI agents into workflows, connect with external systems, and integrate large language models. As Kent Walters from Retool emphasized, thorough evaluation and testing are crucial to ensure confident AI agent deployment across various use cases.

Overall, it was a great mix of panels, talks, tool deep dives, and NoCode challenges. We're already excited to see even deeper AI integration into most of these visual tools next year, bringing even more power to your Automation DIY-Style efforts.