AI / LLM Engineering
- LLM selection on real tasks: comparing 20+ models and modes for quality, speed, and cost
- Prompts and quality control: CEFR text adaptation and automated checks before content reaches the user
- AI cost optimization: caching translations and reusing prepared content
- AI feature economics: calculating text-processing and narration costs, and assessing break-even conditions
- Budget and load control: AI request limits and sign-in protection
- Multi-stage AI workflows: content selection, adaptation, and translation with a model chosen for each task
