Why Not Just Use AI?

Large language models (LLMs) and machine translation (MT) are now more capable than ever. They are excellent for “gisting”—getting the general idea of a technical article or a menu.

However, there is a fundamental difference between processing data and communicating a narrative. AI operates on statistical probability refined by machine learning: It predicts the next likely word based on patterns. It does not understand your product’s architecture, your brand’s voice, or the expectations of an angel investor.

The Cost of “Good Enough”

When your business reputation is on the line, an “almost accurate” translation is a trust-breaker. In the US tech market, professional polish is a proxy for technical reliability. If your landing page or UI has “linguistic friction,” users may assume your backend is equally unpolished.

High-Stakes Documents That Require a Human Expert:

• VC pitch decks: where every word must signal authority and native fluency
• SOC 2 & compliance docs: where a single mistranslated technical nuance creates a liability
• API documentation: where “close enough” instructions lead to integration errors
• GTM landing pages: where you need to sound like a local player, not a foreign visitor

Comparison: Machine vs. Professional Human Translation

Source Context	Machine Translation	Professional Human Translation	What Happened
E-commerce website	“beef wallet”	leather wallet	MT applied a term for a bovine product to the wrong context: food versus a consumer product.
Network administration	“All the devices of this user are already added to this group.”	​All of this user’s devices to which you have access have already been added to this group.	MT changed the meaning by simplifying the sentence.
POS systems	“Ensure sales growth due to better roadblocks”	Ensure sales growth by increasing cash-register traffic.	MT hallucinated the idea of a “roadblock” by reversing the concept of passability or traffic flow.
Contract	“Attachment 1 Exhibit 2 Appendix 3 Schedule 4 Enclosure 5”	Attachment 1 Attachment 2 Attachment 3 Attachment 4 Attachment 5	AI does not maintain consistency of terminology. Here the inconsistency was absolutely perfect!

The Confidentiality Gap

Confidentiality is a major pillar of SOC 2 compliance. When you use free, web-based AI tools, your data is often retained to “train” future models. For a startup with proprietary IP or sensitive user agreements, this brings significant risk. I use professional, paid environments offering data isolation. Your technical documentation and legal notices are not used to train public AI models.

Why a “Native Ear” Matters

You might have an office assistant who “knows English well,” or a low-cost service overseas. But “knowing a language” is not the same as being a college-level, literate native speaker familiar with the industry.

What Is “Air Cash”?

A sign in Kyrgyzstan once proudly displayed the phrase “AIR CASH” in chrome lettering. It caught my attention. “What’s that?” I wondered. In Russian it said “АВИАКАССЫ” (transliterated aviakassy). Then I figured out what it was supposed to mean. In normal English it would have been called an “airline ticket office.” This was a beautiful, expensive mistake that signaled “amateur” to every English speaker who saw it.

The Nuance of Liability

A non-native translator rendered a sentence from Russian as: “We assume no liability or responsibility for all the fires or electrical shock caused by improper handling or installation.” By using the definite “all the fires” instead of the indefinite “any fires,” a company was accidentally saying that specific instances of fire or electric shock had already occurred, rather than addressing a hypothetical risk.

My Stance on AI

I don’t fight AI; I use it as a tool for efficiency. It helps me research and brainstorm ideas, and can reduce my typing time on simple sentences. I can then focus my energy on tone, technical accuracy, and cultural signalling. When you hire me, you aren’t paying for “words in English.” You’re paying for a Silicon Valley native to ensure that your US market entry sounds seamless, professional, and local.