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Use-case stack · educators, exporters

Translation & localization

Draft translations for project docs and handouts; native review still required for anything public-facing.

Machine draft first; human review for safety and idioms. Keep technical terms in a glossary.

Preferred / primary

Web LLM / chat

Claude

Anthropic models strong at long-context writing, code review, and careful analysis.

In this stack: Careful long-form draft translation.

Strong alternatives

Web LLM / chat

ChatGPT

OpenAI’s mainstream chat + tools product for writing, code, and analysis.

In this stack: Short UI strings and variants.

Web LLM / chat

Google Gemini

Google’s multimodal chat with strong Google Workspace / Search integration.

In this stack: When the source lives in Google Docs.

Web LLM / chat

Mistral Le Chat

European-rooted models with strong coding/multilingual chat and a clean web product.

In this stack: Strong multilingual drafts.

Supporting tools

Hybrid LLM / chat

LanguageTool

Grammar/style checking with self-host option — lighter privacy model than many SaaS editors.

In this stack: Target-language grammar pass.

Stacks are editorial starting points — swap tools when policy, budget, or hardware demands it.