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

# Ai agents

## AI agents as workflow assistants

<figure><img src="https://1394161170-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FDdMuk4GiSJIpFyqK1m98%2Fuploads%2FUQbpus4EBZiwFb31WPIQ%2FAi%20agents.png?alt=media&amp;token=4a9cd749-b75e-4fe6-911d-ff8bf743d735" alt=""><figcaption></figcaption></figure>

KlineO AI agents are designed to support trading, campaign, content, and partner workflows.

They should not be positioned as guaranteed profit systems. They are structured assistants that help users and partners understand data, make workflows clearer, and reduce operational friction.

## Agent categories

| Agent                  | Purpose                                                                               |
| ---------------------- | ------------------------------------------------------------------------------------- |
| Trade Analysis Agent   | Summarizes market context, indicators, sentiment, and trade setup structure.          |
| Risk Review Agent      | Reviews position size, leverage, exposure, and user-defined risk rules.               |
| Copy Trading Assistant | Helps users understand Master Trader profiles and copy settings.                      |
| Portfolio Review Agent | Summarizes PnL, exposure, position concentration, and trade history.                  |
| Competition Agent      | Explains campaign rules, rankings, scoring, and reward eligibility.                   |
| Creator Agent          | Suggests content angles, campaign briefs, and creator activity summaries.             |
| Project Campaign Agent | Helps projects understand campaign performance and trader behavior.                   |
| Exchange Partner Agent | Provides venue-level campaign insights and activity summaries.                        |
| Support Agent          | Helps users understand settings, onboarding, exchange connection, and campaign steps. |

## Controlled autonomy model

KlineO AI agents should follow a controlled autonomy model.

```
AI observes
  ↓
AI analyzes
  ↓
AI recommends
  ↓
Risk engine validates
  ↓
User or configured rule approves
  ↓
Execution layer routes action
```

## AI safety and product trust

KlineO AI agents should include:

* Clear risk disclaimers
* No guaranteed return claims
* Permission boundaries
* User confirmation for sensitive trading actions
* Risk engine validation
* Audit logs for AI-assisted actions
* Context-aware explanations
* No custody over user assets

## Strategic value

AI agents make KlineO more than a static dashboard. They turn KlineO into an intelligent operating layer that can assist traders, creators, projects, and exchange partners across the entire campaign and execution lifecycle.