A humble notebook — what I think, what I test, what I build, what breaks, and what I make of it.
Jev is a newly released decision model from TypeSafeAI. I test whether its combination of seconds-scale classification, very low inference cost and usable semantic accuracy can make large-scale chat-history analysis practical.
Read it →Field notes from shipping systems — what held up, what did not, and what I would do again.
Latest: Enterprise AI Integration: From Prototype to ProductionLabs, prototypes and unfinished tests. Useful even when they fail.
Latest: Can Jev Make Large-Scale Chat History Analysis Practical?Essays and arguments that are not a product yet.
Latest: Why AI Projects Die Between the Demo and ProductionServing, kernels, quantization and the cost of actually running the model.
Nothing in this section yet.Jev is a newly released decision model from TypeSafeAI. I test whether its combination of seconds-scale classification, very low inference cost and usable semantic accuracy can make large-scale chat-history analysis practical.
Confusion around enterprise AI integration is no longer unusual. Executives develop high expectations, a technical team produces an impressive demo within weeks, early users see the potential—and then the project gets close to production. Costs rise, latency appears, security questions surface, retrieval quality becomes inconsistent, and an architecture that worked for a handful of developers behaves very differently when hundreds of employees arrive.
A company rarely has one document to connect to an AI system. It has hundreds of policies, contracts, scanned PDFs, technical reports, presentations, tables and Excel workbooks. From the outside, the task looks straightforward: upload the file, extract the text, split it into chunks and send it to a vector database.
Over the past few years, I have seen many companies struggle with the same uncertainty around AI integration. Almost everyone agrees that AI represents a major transformation. Bringing it into business processes at the right time is now widely treated as a strategic priority.
A question, a project, or something that should not stay in a comment box.