> For the complete documentation index, see [llms.txt](https://docs.aimagine.wtf/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aimagine.wtf/ai-reliability/validation-process/on-chain-ai-monitoring.md).

# On-Chain AI Monitoring

Once an AI agent is deployed, its performance and interactions are continuously monitored to prevent unexpected behavior.

#### 1. Smart Contract Oversight

* AI agents interact with smart contracts that <mark style="color:orange;">**l**</mark><mark style="color:orange;">**og activities and transactions**</mark><mark style="color:orange;">.</mark>
* Any deviations from predefined behavior trigger alerts for further review.

#### 2. AI Model Accuracy Validation

* AI models are required to submit <mark style="color:orange;">**periodic performance reports**</mark><mark style="color:orange;">.</mark>
* Validators analyze reports and compare predictions or outputs against actual results.

#### 3. Automatic Red Flags & Suspicion Markers

* AI agents exhibiting abnormal behavior (e.g., spamming, manipulation, or self-altering code) are flagged for investigation.
* If an agent violates operational standards, it <mark style="color:orange;">**can be suspended or penalized**</mark><mark style="color:orange;">.</mark>


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