Vitalii Vlasiuk
Co-founder
Co-founder of Transept, writing as “Mevkh.” A Language and Literature degree, then a turn into software: senior AI engineer shipping production LLM features to 50,000+ users — RAG, agentic tools, LLM-as-judge evaluation. A novelist on the slow path, with 120,000 words of satirical romance fantasy in a drawer. The friction between AI translation and his own prose is what set this whole thing in motion.
5 articles
Can AI detectors spot an AI translation? We tested Pangram and GPTZero
We translated passages of a novel between Ukrainian, English and Chinese with AI and ran them through Pangram and GPTZero. Every sample came back human-written, a plain ChatGPT translation included. Here is why, and why you should still disclose an AI translation.
Machine Translation Post-Editing (MTPE): What It Is, How It Works, and How to Do It Better
A practical guide to machine translation post-editing (MTPE): light vs. full post-editing, why raw MT still needs a human, how quality is measured — and why the usual batch-then-scrub model is often the wrong shape, plus the iterative, memory-fueled workflow that beats it on both quality and cost.
Translation Memory: What It Is, How It Works, and Why It Matters for AI Localization
A translation memory stores the lines your team already approved. We needed to figure out what TM means when the translator is an LLM, how the tools on the market remember (or forget), and the bet we made at Transept: memory as decision context.
How much does AI translation actually think?
We tried to control Gemini 3's thinking budget the same way we did with Gemini 2.5. It doesn't work that way anymore. Here's what we measured instead — and what it means for AI translation quality and cost.
Welcome to The Journal
Why we started writing here, what you can expect to find, and a small invitation to come back.