In today's edition: Find out your AI Survival Score—and what to do next GPT-5.6 Sol: 60,000 words for $6 in AI token costs CotranslatorAI Dashboard: A Quick Guide Hello, translators swimming in unfamiliar waters, NAVIGATING [...]
Your client asks, “Is our data secure with your AI translation service?” Steven S. Bammel, PhD LangOps Engineer What are you going to tell them? And they [...]
NOTE: If you want the freebie without reading the intro, just skip to the orange button at the end. :-) Fellow tilters at language windmills! Last week was the Direct Clients Summit hosted by Techforword, [...]
A client sends you a translation they ran through Google Translate and asks for a "quick quality check." Steven S. Bammel, PhD LangOps Engineer What are you going [...]
The integration of generative AI into professional translation has disrupted legacy workflows, rendering both traditional human translation and unoptimized machine translation post-editing (MTPE) obsolete. As unmanaged automation monopolizes the low-end market, a new analytical [...]
Turn AI potential into operational reality. Knowing that you need to adopt AI-driven translation workflows is only half the battle. The real challenge is in choosing, designing, and integrating these advanced tools into your [...]
The freelance translation industry is shifting rapidly. Many talented professionals are taking a hit to their income, losing confidence in their relevance, and working harder just to keep their heads above water. But imagine [...]
The reality of the modern translation market is stark: many direct clients have walked away, lured by the promise of "free" translation from tools like ChatGPT. But dropping your rates and begging for the [...]
In today's edition: The translation market is shifting, not collapsing. Is the AI losing focus on your big projects? Here’s the fix. Use Mark's routines to improve your workflow. To translators building faster, better workflows, [...]
The problem with conventional machine translation post-editing (MTPE) Training a conventional MT engine for high-quality output requires a significant up-front investment of engineering resources and time. Consequently, few boutique LSPs can actually afford to [...]
