# Blog

> Articles by Simas Razinskas on building and running AI in production: architecture, evaluation, reliability and cost.

Source: https://simasrazinskas.com/blog

Articles on building and running AI in production.

- [Jev in production: putting TypeSafe's System One model behind real traffic](https://simasrazinskas.com/blog/jev-in-production) (2026-09-24): How TypeSafe's Jev works, where it fits next to LLMs, and the timeouts, fallbacks, evals and confidence thresholds to put around it before it touches real traffic.
- [When to move an automation off no-code](https://simasrazinskas.com/blog/ai-automation-vs-no-code) (2026-06-30): No-code is the right way to find out whether a workflow is worth having. These are the signs it has outgrown the tool, and how to move it without a big rewrite.
- [Agents or workflows: start with the workflow](https://simasrazinskas.com/blog/agents-vs-workflows) (2026-06-30): Most systems described as AI agents work better as workflows with AI steps. How to tell which one you need, and what an agent needs before it acts in production.
- [Before you build RAG: four checks](https://simasrazinskas.com/blog/rag-fit-check) (2026-06-30): Retrieval-augmented generation solves one specific problem. Four checks that tell you whether you have that problem before you build the pipeline.
- [Why AI projects fail after the demo](https://simasrazinskas.com/blog/ai-project-failure-modes) (2026-06-30): AI projects rarely fail at the demo. They fail months later in production, for reasons that were visible on day one: no evaluations, no owner, and releases that can't be undone.

RSS feed: https://simasrazinskas.com/blog/feed.xml

## Start with one process

A one-hour call costs €80. Afterwards you get a written plan, whether or not we work together.

[Book a call](https://simasrazinskas.com/book-me) · [simas@simasrazinskas.com](mailto:simas@simasrazinskas.com)