# Tier 2: Specialized Models (Experts/Tools)

Tier 2 consists of a collection of specialized agents, models, or tools, each optimized for a specific domain or task. This allows the system to leverage "best-in-class" capabilities for different problems.

## Key Responsibilities

### 1. Task Execution
*   Perform deep processing in a specific area (e.g., writing Python code, generating images, performing complex mathematical calculations).
*   Operate within the constraints provided by the Tier 1 Orchestrator.

### 2. Domain Expertise
*   Provide specialized knowledge that a general model might lack.
*   Utilize specialized formatting or protocols (e.g., returning structured JSON for data analysis tools).

### 3. Tool Integration
*   Act as wrappers for external APIs or local scripts (e.g., `shell_runner` in Manual Slop).
*   Manage its own internal state or "scratchpad" during complex multi-step operations.

## Common Specialist Examples
*   **Code Expert:** Optimized for high-quality software engineering and debugging.
*   **Search/Web Tool:** Specialized in retrieving and summarizing real-time information.
*   **Data Scientist:** Capable of running statistical models and generating visualizations.
*   **Creative Writer:** Focused on tone, narrative, and artistic expression.

## Implementation Principles
*   **Fine-Tuning:** Models in this tier are often smaller models fine-tuned on specialized datasets.
*   **Isolation:** Specialists should ideally be stateless or have well-defined, temporary state to prevent cross-contamination.
*   **Interface Standards:** Use consistent input/output formats (like JSON) to simplify communication with Tier 1.