Multi-Model Routing: Cost, Latency and Task Fit
One model rarely fits every task. How to route between models on cost, latency and quality, and how to test the routing before you trust it.
Agentic AI, infrastructure, and what it takes to run intelligent systems in the real world.
One model rarely fits every task. How to route between models on cost, latency and quality, and how to test the routing before you trust it.
Which events to log, how approvals should work and how to enforce least privilege so AI agents stay accountable in production.
What changes when AI agents must run with no internet: model serving, updates, integrations, audit logging and the mistakes teams commonly make.