The problem
A team using AI for everything ends up with everyone defaulting to the same frontier model for every task, because nobody has time to think about which model a given job actually needs. Simple lookups and heavy strategy work get billed the same way. Usage limits get hit mid-week, costs climb, and the team either rations its AI use or pays for capacity it doesn't need.
The outcome
We build and run the orchestration layer for you. The frontier model (Fable) plans the work and reviews what comes back; cheaper models (Sonnet for most tasks, Opus for the harder pieces) do the legwork, and the routing happens automatically. Say the team needs 20 prospects researched before a sales push: Fable plans the search and judges the results, twenty Sonnet subagents each read one prospect and report back, and Opus writes up the two that need real judgment. Fable touches a few thousand tokens instead of doing all twenty reads itself, and your team gets the research done at a fraction of the cost, without anyone having to think about which model to use.