> For the complete documentation index, see [llms.txt](https://davidadeola.gitbook.io/influx-ai-whitepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://davidadeola.gitbook.io/influx-ai-whitepaper/6.0-economic-model/6.2-influx-ai-economic-model-cycle/6.2.1-influx-getting-ai-points.md).

# 6.2.1 Influx ▪︎Getting AI points

#### Train your own AI agent <a href="#xun-lian-zi-ji-de-ai-agent" id="xun-lian-zi-ji-de-ai-agent"></a>

Users can use their own data to train their own AI agents, join the Influx ▪︎AI ecosystem, and receive fixed points.

The number of points earned will decrease over time.

#### Invitation Tasks <a href="#yao-qing-ren-wu" id="yao-qing-ren-wu"></a>

Users can earn points by inviting others to join the community and official website.

Before the Influx ▪︎AI platform is officially launched, users can earn points by inviting into the community;

After the Influx ▪︎AI platform is officially launched, the powerful multimodal model of Influx ▪︎AI will recommend outfits to users based on the weather, temperature, face shape, body shape, and occupation of the day. Users can link their Twitter account, choose their favorite outfit, and share their daily OOTD (outfit) on Twitter, using QR codes for more efficient invitation fission.

You will get a small amount of points for each share, limited to once a day.

If a user invites new users to download the app, they can get more points; if a user completes onboarding, they can get double points. There is no limit on the points earned by sharing the app.

![](https://gannicuss-organization.gitbook.io/~gitbook/image?url=https%3A%2F%2F2514378276-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FK51drKkHB7QguxHgbYjX%252Fuploads%252F4AmV0Le7q2XKDGgwyqmt%252F%25E5%25BE%25AE%25E4%25BF%25A1%25E6%2588%25AA%25E5%259B%25BE_20240517160704.png%3Falt%3Dmedia%26token%3Ddcf1cca4-e0af-4e27-a126-0a79e54b1c74\&width=768\&dpr=4\&quality=100\&sign=1a6bc044a5579b9183ab5e1e84a3f3becc384b04fa685529a0c3f1125084b462)
