Clawd Throttlev2.0.0

Handles routine inquiries and FAQ responses using simple models like Grok 4.1 Fast in eco mode, reducing costs while maintaining quality. For complex issues, it automatically routes to higher-tier models like Haiku or Sonnet, ensuring accurate resolutions without manual intervention.

Processes large volumes of articles by classifying prompts for simplicity and routing to cost-effective models like Gemini Flash. For in-depth analysis or multi-step reasoning, it escalates to models like Sonnet, optimizing speed and expense across varied content types.

Analyzes code snippets and bug reports using the classifier to detect complexity markers, routing simple checks to cheaper models and intricate logic problems to advanced ones. Supports overrides for specific models when developers need targeted expertise.

Routes student questions based on complexity, using eco mode for basic queries and gigachad mode for advanced topics. Logs decisions to track costs and model performance, enabling scalable, affordable personalized learning support.

Classifies patient inquiries to route simple informational requests to low-cost models and complex medical reasoning to higher-tier models. Ensures privacy by hashing prompts and keeping data local, suitable for sensitive health applications.

Offers tiered pricing based on routing modes (eco, standard, gigachad) and usage volume, with premium features like advanced logging and override capabilities. Targets businesses seeking to optimize LLM costs without sacrificing performance.

Provides custom setup, API key configuration, and mode optimization for enterprises integrating Clawd Throttle into existing workflows. Generates revenue through project-based fees and ongoing support contracts.

Licenses the routing technology to other AI platforms or developers, allowing them to rebrand and offer cost-efficient LLM access. Revenue comes from licensing fees and a share of savings passed to end-users.