ERNIE Prompt Builder

Structure is what makes an ERNIE prompt reliable

When you prompt Baidu 文心一言 (ERNIE), the quality of the answer depends far more on how you structure the request than on which clever phrase you use. ERNIE is built around Chinese — strong on Chinese common-sense knowledge, idiom and local context — which makes it a natural fit for Chinese writing (中文创作) and office work (办公): drafting notices, weekly reports, emails, outlines and polished copy. A structured prompt names the assistant's role, states the task, supplies the context, fixes the output format and lists the constraints. This builder keeps that structure for you: fill the fields, and it joins them into a clean prompt with a leading "你是…" role line followed by clearly headed sections, each prefixed with a Markdown-style heading the model can read at a glance, ready to paste into ERNIE. The result is the kind of prompt a careful prompt engineer would write by hand, only assembled in seconds, and aimed squarely at the Chinese office and writing tasks ERNIE handles well.

The single highest-leverage line is the role. "你是一位资深公文写作编辑" steers the model's viewpoint, register and depth in one sentence — far more efficiently than a paragraph of adjectives. After the role, the task and context do the heavy lifting: the task says exactly what to produce — what to write, for whom, and how long — and the context gives the model the facts it needs so it grounds more and guesses less. For Chinese office writing in particular, naming the document type — an official notice, a memo, a weekly report, a client email — lets ERNIE match the conventions and honorifics that Chinese workplaces expect. A good rule of thumb is to make each field concrete and specific: instead of "write well", say "write in clear, formal Chinese, suitable for a notice sent to all staff, with a title, body and sign-off".

Format and constraints separate a demo from a usable office draft

The fields people skip and regret are the output format and the constraints. The format — "answer in bullet points", "return a table", "公文体，含标题、正文、落款", "under 300 字" — is what turns rambling prose into something you can copy straight into a document. The constraints — "never invent data", "keep a formal tone", "say 不确定 when unsure" — are what make a draft safe to send to colleagues, managers or clients. None of this limits the model; it focuses it. For office documents especially, spelling out the structure and the things ERNIE must not do is consistently the cheapest way to raise the quality of the finished Chinese text, because a notice or report is judged on form and accuracy as much as on wording.

Because the output is structured plain text, the same prompt is portable: although it is tuned for ERNIE, it works just as well in other Chinese models, and even in ChatGPT, Claude or Gemini, since the structure travels regardless of which model reads it. Write it in Chinese when you want natural, idiomatic Chinese — that is exactly where ERNIE is strongest. And because the whole tool runs locally in your browser, you can iterate freely — tweak one field, copy again, and test in ERNIE — without anything you type ever leaving your device, being sent to a model, or being stored. Treat the first prompt as a draft: run it in ERNIE, see where the answer drifts, and tighten the matching field. Two or three rounds of that usually turn a mediocre reply into exactly the Chinese document you wanted, and you keep a clean, reusable prompt at the end.