Jobis & Villains says its Carter platform operates eight AI agents with model tiering and shared cost observability. High-capability models generate answers, while lighter models handle tasks such as intent classification and safety checks. The company says roughly half of calls use lighter models, reducing LLM-call costs by about 45%. A separate 43% saving applies to cache-reused portions of repeated prompts. Shared tracing, personal-data de-identification and failover are also described. These are company-reported results, not a public benchmark guaranteeing the same savings or answer quality elsewhere.