Eragon AI projects hundreds of thousands in inference savings with model routing via Merge Gateway
shensi · x · 2026-10-01
AI work-agent startup Eragon AI shares a case study: by routing each agent task to the right model through a single Merge Gateway endpoint, it projects hundreds of thousands of dollars in inference savings this year.
- Problem: early on, most requests hit the most capable model even for simple email checks or document retrieval; model provisioning became a full-time engineering function consuming 1.5 engineers' workload
- Approach: custom routing logic classifies prompts and selects models per task, honoring customer preferences (e.g., one model for coding, another for email), data residency, cost, and availability
- Result: same quality at far lower cost, plus reclaimed engineering time
A reusable cost-saving pattern for teams building multi-agent products.
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