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Translation and languageBeginner

Natural English to Persian translation

Translate the English text fluently and naturally, like something written by a native Persian speaker, not word-for-word.

Prompt text

Translate the following English text into Persian. - Target audience: [Audience] - The translation must be fluent and natural, as if originally written in Persian; do not blindly follow English sentence structures. - Render idioms and proverbs with common Persian equivalents. - Keep proper nouns and common technical terms in their Latin form. - Observe Persian zero-widths non-spaces and punctuation marks. After translation, if you had doubts about any meaning or if multiple interpretations were possible, mention it in a short note. Text: [English text]

Parts to replace

  • [Audience]: General public, professionals, children...
  • [English text]: Text to be translated

Why does this prompt work well?

The biggest flaw of machine translation is its translation-like structure. This prompt explicitly asks the model to write more freely and naturally in Persian, and to report ambiguous cases.

Pro tips

  • For specialized texts, include a small glossary of your preferred equivalents in the prompt.

Execution result on models

Executed prompt example (with variables filled in):

Translate the following English text into Persian. - Target audience: General public interested in technology - The translation must be fluent and natural, as if originally written in Persian; do not blindly follow English sentence structures. - Render idioms and proverbs with common Persian equivalents. - Keep proper nouns and common technical terms in their Latin form. - Observe Persian zero-width non-spaces and punctuation marks. After translation, if you had doubts about any meaning or if multiple interpretations were possible, mention it in a short note. Text: AI assistants are no longer just a novelty. For millions of people, they've become the first stop for everything from drafting emails to debugging code. But there's a catch: these tools are only as good as the questions you ask them. Learning to write a clear prompt is quickly becoming as basic a skill as knowing how to use a search engine.

These are English translations of the original Persian lab outputs. The models were not rerun.

Claude Opus 5.5claude-opus-5-5Oct 28, 2026

The prototype written by Claude Opus 5.5 when building the site. Regenerated under standard conditions by running the lab (python -m sitegen lab --force).

AI assistants are no longer just a fresh novelty. For millions of people, these tools have become the first place they turn to for anything; from drafting emails to finding and debugging programming code. But there is an important catch: these tools are only as effective as the questions you ask them. Learning to write a clear prompt is quickly becoming a core skill; just as crucial as knowing how to use a search engine.

Translator's Note: - novelty: Translated as "fresh novelty". Another interpretation is "a novel and interesting phenomenon"; the text means these tools are no longer just something fun to try out. - debugging code: For the general audience, translated as "finding and debugging code" instead of literal technical jargon. - there's a catch: Means "a hidden condition or flaw", translated as "an important catch".

Outputs are saved unedited and directly from the models themselves.