About
A consultancy for the unglamorous parts of LLM engineering.
TokenTailors exists because the hard part of LLM applications moved. Getting a model to answer questions stopped being difficult; getting a system to answer your users' questions correctly, quickly, at an acceptable cost, on the ten-thousandth request — that is where teams get stuck. That is the work we do.
What we believe
Retrieval is a search problem. Most "the model is hallucinating" reports trace back to the model never seeing the right passage. We treat the retrieval layer with the seriousness search engineers always have: measured recall, deliberate ranking, corpus-aware chunking.
Evals are infrastructure. A system you cannot measure is a system you cannot safely change. We build evaluation into every engagement, from the first week.
Frameworks are tools, not commitments. We know the LangChain ecosystem deeply — its genuinely useful parts and its accidental complexity. We recommend what the problem needs, including less machinery than you currently have.
Cost is a feature. An application that works but costs too much per request does not actually work. Token accounting, caching, and model routing are part of the job, not an optimization phase that never comes.
How we engage
Senior US engineers, billed hourly, working as a project team or embedded in yours. Every engagement starts with a conversation about the system and its symptoms, and every engagement is structured so your team ends up more capable, not more dependent.
If that matches the problem you have, tell us about it.