# Tips for getting the most out of ScaleFlows

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<summary><strong>Start with approval mode.</strong></summary>

Let the AI draft replies but review them for the first week. This builds your confidence and helps you refine policies.

<div align="left"><figure><img src="/files/le1BVoykWwFmbZxp1t8z" alt=""><figcaption></figcaption></figure></div>

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<summary><strong>Use the "Try the AI" panel often.</strong></summary>

After changing any setting or policy, test it immediately.

<div align="left"><figure><img src="/files/OGP7HPL9v3Ci9KdIdEF8" alt=""><figcaption></figcaption></figure></div>

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<summary><strong>Add AI context to your top products.</strong> </summary>

The more the AI knows about your products, the better its answers.

<div align="left"><figure><img src="/files/Zt46RO2cb02rf8xPORJT" alt=""><figcaption></figcaption></figure></div>

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<summary><strong>Check Analytics regularly.</strong></summary>

&#x20;Look at auto-send rate and escalation rate to see where you can improve.

<div align="left"><figure><img src="/files/4iv0xuTanS3iJHQqXXzB" alt=""><figcaption></figcaption></figure></div>

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<summary><strong>Set up Slack or Discord notifications.</strong> </summary>

So you know immediately when something needs your attention.

<div align="left"><figure><img src="/files/SeIDJyp8a5CbjuRMNtOw" alt=""><figcaption></figcaption></figure></div>

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<summary>Use <strong>templates for complex replies.</strong> </summary>

<div align="left"><figure><img src="/files/jmBbfUKGxBGhUDpCHkge" alt=""><figcaption></figcaption></figure></div>

Even when writing manually, templates with placeholders save time.

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<summary><strong>Keep your knowledge base updated.</strong> </summary>

When policies change, update the AI's knowledge so it stays accurate.

<div align="left"><figure><img src="/files/kd8dX7RbI7b6mCL733Xs" alt=""><figcaption></figcaption></figure></div>

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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:

```
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```

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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.
