> For the complete documentation index, see [llms.txt](https://aaai.gitbook.io/aaai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aaai.gitbook.io/aaai/how-aaai-works.md).

# How AAAI works

* **Live Data Streaming:** Continuously captures data from CEX's to provide real-time insights.
* **Anomaly Detection:** Utilizes[ Bayesian Anomaly Detection](https://www.kaggle.com/code/mikepetrouleas/anomaly-detection-with-bayesian-neural-networks) and [Z-Scores](https://www.kaggle.com/discussions/general/414467) to detect and classify anomalies.
* **Real-time Alerts:** Posts instant anomaly detection notifications to traders and stakeholders initially through <https://x.com/aaai_agent>, and later through a $AAAI token holder exclusive community.
* **Adaptive Learning:**  AAAI uses [Deep Reinforcement Learning ](https://www.kaggle.com/code/alexisbcook/deep-reinforcement-learning)with a reward function that combines anomaly prediction accuracy with feedback and social media engagement to reinforce behaviour.
* **User-Centric Design:** Designed with user feedback in mind, ensuring intuitive interaction and usability.

<figure><img src="https://1481285407-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FcxbtuQnOTSthgKNfnHDa%2Fuploads%2FhauoSNGYZTJe1gBgsq2U%2Fezgif-2-ab707f7bb9.gif?alt=media&amp;token=c17eedfc-a719-42ae-99f8-69831c446d52" alt=""><figcaption><p><a href="https://www.bayesserver.com/docs/techniques/anomaly-detection/">Introduction to Anomaly Detection</a></p></figcaption></figure>
