> ## Documentation Index
> Fetch the complete documentation index at: https://praison.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Self Reflection

> Enable agents to analyze their own performance

Self-reflection allows agents to analyze and improve their responses.

```mermaid theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
graph LR
    subgraph "Self Reflection"
        O[📤 Output] --> A[🔍 Analyze]
        A --> I[💡 Insights]
        I --> B[📤 Better Output]
    end
    
    classDef output fill:#6366F1,stroke:#7C90A0,color:#fff
    classDef analyze fill:#F59E0B,stroke:#7C90A0,color:#fff
    classDef better fill:#10B981,stroke:#7C90A0,color:#fff
    
    class O output
    class A,I analyze
    class B better
```

## Quick Start

<Steps>
  <Step title="Create Self-Reflecting Agent">
    ```rust theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
    use praisonai::Agent;

    // Build reflection into instructions
    let agent = Agent::new()
        .name("Writer")
        .instructions("Before providing your final answer:
        1. Draft your initial response
        2. Ask yourself: Is this helpful and accurate?
        3. If not, revise and improve
        4. Provide the improved response")
        .build()?;

    let response = agent.chat("Write a summary of AI advances").await?;
    // Agent self-reflects and improves before responding
    ```
  </Step>

  <Step title="Two-Stage Reflection">
    ```rust theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
    use praisonai::Agent;

    // First agent generates
    let writer = Agent::new()
        .name("Writer")
        .instructions("Write a helpful response")
        .build()?;

    // Second agent reviews
    let reviewer = Agent::new()
        .name("Reviewer")
        .instructions("Review this response. Is it helpful? Suggest improvements.")
        .build()?;

    let draft = writer.chat("Explain quantum computing").await?;
    let feedback = reviewer.chat(&format!("Review: {}", draft)).await?;
    ```
  </Step>
</Steps>

***

## Related

<CardGroup cols={2}>
  <Card title="Reflection" icon="rotate" href="/docs/rust/reflection">
    Reflection system
  </Card>

  <Card title="Evaluation" icon="chart-bar" href="/docs/rust/evaluation">
    Quality metrics
  </Card>
</CardGroup>