meow:scale-routing

Domain-aware routing classifies task descriptions by scanning domain keywords to determine complexity levels, workflow intensity, and model tier overrides. It improves consistency by providing structured, auditable routing decisions based on the domain context.

You can automate AI task classification by providing a task description to a domain-aware routing tool. It scans the text against a domain-complexity CSV file and returns a structured object containing the domain, complexity level, workflow, and model tier.

Yes, domain-aware routing applies across multiple domains. It scans task descriptions for specific domain keywords and consults a domain-complexity configuration to determine the appropriate routing strategy for any technical area.

To override model tiers, route task descriptions through a complexity classifier that outputs a model_tier_override field. This structured output guides orchestration by matching the task's complexity level to the appropriate model tier.

Yes, domain-aware routing is specifically designed to integrate with Phase 0 orchestration. It classifies task complexity and outputs structured routing data to guide the orchestration workflow from the very beginning.

The best way to ensure consistent routing decisions is to use data-driven classification based on a domain-complexity CSV. This approach automatically categorizes tasks into domains and complexity levels, creating auditable and repeatable routing outcomes.