Most AI teams still buy inference like they are buying software from 1 vendor.
They pick a model, accept the fixed price, wire it into the app, and keep paying that rate even when cheaper models could handle the same work.
@The_GridAI takes a different approach.
Instead of choosing a model name, you choose the level of work you need: standard, prime, or max. A simple task like support-ticket classification can run on standard. Normal production work like RAG, drafting, support replies, or agent steps can run on prime. Harder work with long context or higher error cost can run on max.
The Grid then routes the request to the cheapest supplier that still qualifies for that tier.
So the app still uses one API and mostly the same code, but the model behind the request can change as price and quality change.
I tested it with Hermes Agent on my Ubuntu machine. Hermes ran locally, while The Grid handled the inference through agent-prime. The workflow was simple: read support tickets, apply a policy file, and write a triage report.
