Intelligent Routing
The system's ability to direct tasks to the right model, tool, or agent based on complexity, cost, and capability — rather than sending everything to the most expensive option.
Intelligent Routing recognizes that not every task needs a frontier model. A simple formatting task, a code linting check, or a straightforward data transformation can be handled by a smaller, cheaper, faster model. Complex architectural decisions, nuanced code reviews, or novel problem-solving might warrant a frontier model. Intelligent Routing makes this decision automatically, based on task characteristics, cost constraints, and capability requirements. The result is better cost efficiency without sacrificing quality where it matters.
More in Architecture
System-Centric AI
An architecture where planning, state, memory, and control live outside the model.
Model-Centric AI
An architecture where the model is expected to infer state, intent, plan, and memory from raw context.
Tool Isolation
Memory and context don't cross tool boundaries — each tool is a silo.
The Expertise Trap
Context and knowledge locked on one person's machine, inaccessible to the team.
Agent Fragmentation
Agents operating in disconnected silos with no shared state, duplicating work and contradicting each other.
Unified Context
A single, shared knowledge layer accessible to all agents and tools. The cure for Tool Isolation.
Context Portability
The ability to move knowledge between tools, agents, sessions, and team members without loss. The cure for The Expertise Trap.
Stateful, Inspectable Memory
A collaborative memory space where multiple agents and humans contribute to and draw from the same knowledge base — with full history and traceability.