Publications
Research
Technical reports from FRITS AI. We document what we discover building and operating European AI systems in production — methods, failures and measurements included. Reports are self-published, numbered and citable; they are not peer-reviewed. Subscribe via RSS.
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The Cruise Missile and the Lasagne: How to Make AI Chatbots Greener by Right-Sizing the Model to the Question
Most questions people ask AI chatbots are easy — a lasagne recipe, an email draft, a word explained. Yet the industry default is to answer every question with the largest model available, the way one might sink a dinghy with a cruise missile. This report…
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Every Turn Ends in a Tool Call: Reliable Tool Use for Mid-Size Open Models via Two-Stage Forced Routing
Production assistants want many tools; mid-size open models want few. Operating a Mistral-based assistant with more than twenty tools, we catalogued what actually goes wrong as tool count grows: the model answers from its priors in prose before deciding to…
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Re-Authoring, Not Translating: A Two-Stage Meaning-First Pipeline for Native-Quality Machine Translation
Machine translation — including translation by strong LLMs — produces output that is technically correct and unmistakably foreign: calqued phrases no native speaker would write, invented compound words, English sentence structure wearing local vocabulary.…
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Language-Dependent Political Bias in Large Language Models: Detection and Neutralisation in a Multi-Provider Production System
While calibrating an evaluation gate for admitting new language models into a production assistant, we found that a model can give measurably different answers to the same politically sensitive question depending on the language it is asked in — drifting…
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