Prompts for Venice AI: Reusable Patterns for Text Work

Venice AI is a privacy-focused AI assistant that processes requests without storing your conversation history on its servers. That privacy design changes how you use prompts: because the model does not retain your previous sessions, every conversation starts fresh. The prompts that work need to be saved somewhere else — and so does the project context they rely on. Tools like fenbs let you store your reusable prompt patterns alongside the project brief and approved decisions, so every session starts from the same position regardless of which tool you open.

The prompts below are structured for three types of text work that benefit from a privacy-first assistant: research summaries from material you provide, drafting from a detailed brief, and review of existing text against clear criteria. Each prompt is designed to produce something verifiable rather than something plausible.

What to keep in mind when prompting a privacy-first AI

A privacy-first model that does not retain session history is well suited to work involving sensitive drafts, client information, or proprietary research — because the conversation does not persist after you close it. That same characteristic means the model knows only what you give it in the current session. There is no accumulated context from past conversations to draw on.

This makes your prompt more important, not less. A prompt that includes the project context, the relevant background, and the specific task produces far more useful output than one that assumes the model remembers what you discussed last week. Build prompts that carry all the context the model needs to complete the task without asking follow-up questions.

Keep the sensitive information in the session and the non-sensitive context elsewhere. If you are drafting a contract clause from a client brief, the client name and confidential terms belong in the session. The general drafting rules, the format guidelines, and the review criteria can live in your prompt library and be included at the start of each session without risk.

Prompts for research from source material

These prompts ask the model to work from material you provide rather than from its training knowledge. This reduces the risk of fabricated citations or outdated facts when you need results you can verify.

I am going to paste some source material. Your task is to summarize it.

Rules:
— Use only what is in the text I provide. Do not add information from your training.
— If the text does not cover something I ask about, say "not in the source" rather than guessing.
— Format: [e.g., three bullet points per main theme, or a one-paragraph summary of each section]

Source material: [paste text]

Question or focus: [what you want to extract from the material]

I will paste two documents. Compare them on [specific criteria, e.g., tone, recommendations, factual claims, structure].

Rules:
— Base the comparison only on the text I provide.
— For each difference, quote the relevant phrase from each document.
— Do not recommend which is better — only describe the differences.

Document 1: [paste]
Document 2: [paste]

Source-grounded prompts are the most reliable type for research work. When the model is told it may only use the text you provided, it cannot fill gaps with plausible-sounding information that did not come from your source.

Prompts for drafting from a brief

Drafting prompts work best when they give the model a complete brief: the purpose of the document, the audience, the required format, and the key points to include. A brief in the prompt produces a first draft; a vague instruction produces a template that looks complete but is actually empty.

Write a first draft of [document type, e.g., a summary memo, a client update, an email] using your brief:

Purpose: [what this document is for]
Audience: [who will read it and what they already know]
Key points to include: [list the 3–5 main points]
Tone: [describe, e.g., formal and precise, direct and practical]
Format: [e.g., short paragraphs under each heading, bullet points, prose only]
Length: [e.g., under 300 words, one page]
Do not include: [anything to leave out]

Write one draft only. After the draft, list any assumptions you made that I should check.

The instruction to list assumptions at the end is important. A model that surfaces what it filled in gives you something to verify. A model that does not leaves hidden gaps that look like completed work.

Prompts for reviewing existing text

Review prompts work better as separate prompts than as part of the drafting prompt. Asking a model to "write and then review" in one step means the review is done by the same pass that produced the draft, which tends to miss the same issues. Running a second prompt with explicit review criteria catches more.

Review this text against the following criteria:

1. Accuracy: Are all claims supported by the source material I provided? Flag any claim that is not.
2. Clarity: Is every sentence clear to someone who is not an expert in [topic]? Flag any sentence that is not.
3. Completeness: Are the key points listed below covered? Flag any that are missing.
   Key points: [list them]
4. Tone: Does the text match this voice? [describe] Flag any section that does not.

Text to review: [paste text]

For each issue found, quote the specific phrase and explain the problem in one sentence.

Prompts for setting privacy and source limits

One of the most useful prompt patterns for a privacy-first model is a set of explicit operating rules at the start of a session. These rules tell the model what it may and may not draw on, which prevents it from supplementing your brief with information you did not provide.

For this session, follow these rules:

1. Use only information I provide in this conversation. Do not use your training knowledge to fill gaps.
2. If you do not have enough information to complete a task, say what is missing rather than guessing.
3. Do not cite sources I have not given you.
4. When summarizing, quote the relevant phrase from the source rather than paraphrasing it.
5. [Add any other limits relevant to your work]

Confirm you understand these rules before I give you the first task.

Pasting this rule set at the start of each session takes a few seconds and significantly reduces the chance of the model supplementing your provided material with plausible-sounding additions. Store it as a Skill in your prompt library so it is available in one click.

How to do this with fenbs

1. Create a free account and add a project for your text work.
2. Save your session rules, drafting prompts, and review criteria as Skills in the project. Give each one a short title so you can find it quickly.
3. Add the project brief and any approved decisions as context notes or Decisions and rules in the project.
4. At the start of each Venice AI session, open the relevant project in fenbs and paste the session rules and project brief into your first message.
5. Connect a supported AI app over MCP from Integrations when you want an assistant to read the project context directly rather than pasting it each time.

fenbs does not integrate directly with Venice AI. It is a separate home for your prompt library and project context, which you can paste into any AI session — Venice AI, Claude, ChatGPT, or another tool — as needed. For prompt patterns that apply across many AI tools, see system prompt examples.