# Revision

In the Ensis web app, you can refine proposal responses with AI-powered revisions. Guide the revision process with a custom prompt and leverage your organization's stored Resources for more precise edits.

{% hint style="info" %}
**For guidance on crafting effective prompts to refine AI-generated revisions, check out our** [**Effective Prompts in Ensis**](/ensis-documentation/fundamentals/writing-effective-prompts-in-ensis.md) **guide.**
{% endhint %}

### Step 1 - Select text for revision <a href="#step-1-navigate-to-your-proposal-and-section" id="step-1-navigate-to-your-proposal-and-section"></a>

In your proposal, navigate to **Outline View** or **Narrative View**. Highlight the text you want to refine. Click **Revise** in the text field to open the revision pop-up.

<figure><img src="https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F7HdISF9pyeBbjcArxaLT%2Fuploads%2FLcMb8zmHDDqE8jXhIhzP%2FScreenshot%202025-03-05%20at%201.33.54%E2%80%AFAM.png?alt=media&#x26;token=4ae9ffa0-1f7b-4a8e-82d7-aedf3512e0a5" alt=""><figcaption></figcaption></figure>

### **Step 2 - Provide a custom revision prompt**

In the **Revise** panel, enter a **custom prompt** to guide the AI-generated revision. Your prompt can specify how you’d like the content adjusted, such as:

* **Tone** (e.g., “Make this more formal and professional.”)
* **Expand** (e.g., "Expand on our approach for delivering technical support.")&#x20;
* **Clarity** (e.g., “Revise for better readability and flow.”)
* **Accuracy** (e.g., “Revise our total employee count. We have 1200 employees.”)

Once your prompt is entered, click **Revise** to generate the improved version.

<figure><img src="/files/D2bfFmzZFYUDXRebjslr" alt="" width="375"><figcaption></figcaption></figure>

### **Step 3 - Store your revision as a fact for future use (Optional)**

If the revision contains key information that should be **reused** in future AI-generated responses, you can store it as a **Fact**.&#x20;

After generating a revision, check the **Store this fact for future responses** box. Select either:

* **For this proposal** – Saves it only for use within the current proposal.
* **For my organization** – Makes it available in all future proposals.

Click **Save** to confirm.

<figure><img src="/files/aKtei7CBpByr7dhRfLH8" alt="" width="375"><figcaption></figcaption></figure>

{% hint style="info" %}

#### **Ensis Allows You to Store Facts at Two Levels:**

#### **Option 1: Store for This Proposal**

Ensis will recall this Fact **only within the current proposal**. Helps maintain consistency for opportunity-specific messaging. Ideal for customer preferences, proposal themes, or bid-specific requirements.

#### **Option 2: Store for Your Organization**

Ensis will apply this Fact **across all future proposals** created by your organization. Ensures company-wide consistency on standard messaging, differentiators, and compliance statements.Best for frequently used content such as mission statements, capabilities, or industry certifications.
{% endhint %}


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://ensis-ai.gitbook.io/ensis-documentation/product-guides/proposal-writing/on-web/revision.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
