Our internal AI agent for expenses: Bonbonnetje 🍬
Bonbonnetje is an AI Agent running in production on Agent Platform helping Xebians submit expense claims. Bonbonnetje is in active use by multiple internal departments and successfully completes hundreds of submissions monthly, helping save both employees and back-office valuable time.
TEDXKE 2025
Amersfoort, The Netherlands —
TED-style Xebia knowledge sharing session (XKE) in the Flint theatre in Amersfoort, sharing experiences on a three month working engagement at a health-tech company in Kenya.
From Nanyuki to Nairobi with Kenya Railways
This is what it's like to travel from Nanyuki to Nairobi by train 🚂.
Fine-tuning LLMs yourself
Fine-tuning can be a powerful way to specialised Large Language Models (LLMs). With open source models readily available, it is now also possible to fine-tune yourself. Read along to find out how.
Python Devcontainer with uv
Devcontainers are very powerful. So is uv. How do we combine the two?
Are you ready for MLOps?
MLOps has survived the hype cycle and is gaining in maturity. But are we looking at MLOps for answers for the right things? When should you even start thinking about MLOps, or when is ‘plain’ DevOps wiser to focus on first?
Around the Amstel station
Taking a good look at the Amsterdam Amstel station surroundings.
The GenAI automation potential of data extraction
GenAI has been around for a little while and its capabilities are expanding quickly. But still, many companies fail to generate actual value with GenAI. Why is that? In this blogpost, we explore the GenAI automation potential that exists today for data extraction.
The Levels of RAG
LLM’s can be supercharged using a technique called RAG, allowing us to overcome dealbreaker problems like hallucinations or no access to internal data. But what can we expect from RAG? What use cases work well and which are more challenging? Let’s find out together!
