The hack that helped BIKEBAZE® activate a nationwide community in a single day
How a hackathon helped to build a working MVP in one day and test BIKEBAZE's community function, without having to develop an app.
LLM is an important technology in our methodology. From Rotterdam, we apply LLM in concrete projects and services, focusing on robust, scalable solutions that deliver real value.
You've seen what AI can do. Now you want it to actually work. We build AI agents and automations that take over tasks. Not demos, but production-ready solutions.
Expertises we frequently use alongside LLM.
Real-world projects and research articles where we applied LLM.
How a hackathon helped to build a working MVP in one day and test BIKEBAZE's community function, without having to develop an app.
A recruitment agency wanted to use AI for CV screening, but ran into legal and ethical objections. How we built a solution that did pass the compliance check.
How we helped Utilitarian build a scalable AI-powered platform for in-store product returns, from rapid prototype to live deployment across multiple retail stores.
Part 2 of AI Agents in Practice. What are AI agents good at? And where do things go wrong? The do's and don'ts based on practical experience.
The danger of AI isn't that it makes mistakes. The danger is that you stop checking, and no longer know what AI can and cannot do. Why that's a strategic risk.
Content teams create hundreds of tag variations. 'AI strategy', 'AI consulting', 'AI development', all meaning 'AI'. We built a system that automatically groups similar tags by meaning instead of exact text matches, mapping 140 variations to 27 core topics in seconds while revealing content gaps.
ChatGPT and similar AI interfaces are designed for complete autonomy, not for collaboration with experts. Why that's a problem and how to build AI interfaces that support verification.
Everyone codes with AI these days. But there's a crucial difference between vibe coding and AI-assisted coding. The difference determines whether you're making a proof of concept or production code.
Part 1 of AI Agents in Practice. Everyone's talking about AI agents, but what are they really? From hype to practice: function calling, MCP, and why the technology isn't the problem.
Our team has deep experience with LLM and related technologies. Discover which team members specialize in this expertise.
From AI prototypes that need to be production-ready to strategic advice, code audits, or ongoing development support. We're happy to think along about the best approach, no strings attached.
In 1.5 hours we discuss your project, challenges and goals. Honest advice from senior developers, no sales pitch.