The next competitive advantage in enterprise AI has less to do with which model you choose than with what you build around it. That’s an important shift. For the past several years, much of the AI conversation has centered on model capability: bigger models, better reasoning, larger context windows, higher benchmark scores. Those advances have…
Read the original at MIT Technology Review AI: Designing an AI serving harness built to last
How OpenSmartRoute helps
A published score is a starting point, not the answer for one team's prompts. 'osr eval' measures routing accuracy on the team's own data and can fail a build when it drops. The hosted platform adds public rankings built from real traffic, so a number can be checked against what the model does in use.
For a team that routes through the router, a release like this is one catalogue entry. The new model competes on the next request against what the team already runs, on quality, cost and speed. If it answers well it earns more traffic; if it fails it gets less, with no code change in the app.