Original OrbTrail editorial, written in our own language from the reference publication.
Using the most powerful model for every request may feel safe, but it creates unnecessary cost and latency. Many enterprise interactions are repetitive and well defined, and smaller models can resolve them without a noticeable decline in quality.
Right-sizing classifies intent and directs each task to an appropriate level of capability. Simple questions follow a lighter path, while ambiguous or high-risk cases reach stronger models. This separation controls spending without lowering the service standard.
The router is a critical part of the architecture. It must recognize difficulty, domain and the impact of a possible error. A fallback path is also needed when confidence is low. Without observability, apparent savings can hide quality problems.
The best answer is neither the cheapest nor the most sophisticated model, but the combination that meets the business goal. Measure cost per resolution, response time, escalation rate and accuracy. The model portfolio should evolve with real usage patterns.
