# Use Cases

**Primary Market Applications:** Smart SAFT by BGTAI is tailored for diverse primary market investment scenarios, facilitating secure and structured fundraising through smart contracts. This tool is applicable across multiple settings:

1. **Private Sale:**
   * Typically used in early-stage fundraising, where a Space Owner launches the SAFT for specific investors or selected community members under the Whitelist Type.
2. **Public Sale:**
   * Combines Whitelist and Public Type SAFTs to allow both prioritized community members and the general public to participate in token sales through whitelisted and first-come-first-served pools.
3. **Block Trading/OTC:**
   * Suitable for block trading or OTC transactions where terms like price, volume, and claim schedules are predetermined. For instance, a project team for tokens like $LUNA could utilize Smart SAFT to secure funds through targeted fundraising efforts, ensuring transaction security via smart contracts.
4. **Dedicated Launchpad Creation:**
   * Influencers, KOLs, community leaders, and project teams can leverage BGTAI's technology to create personalized launchpads. This not only capitalizes on their influence but also supports their branding and traffic generation.

**Steps to Create a Dedicated Launchpad:**

* **Create a Space:** Initiate your presence on BGTAI by setting up a dedicated space.
* **Request Space Verification:** Enhance your space's credibility through BGTAI’s verification process.
* **Launch Smart SAFT:** Initiate and manage token sales or fundraising deals directly from your verified space.


---

# 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://bgtai-officials-organization.gitbook.io/bgtai/bgtai/ecosystem/smart-saft/use-cases.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.