AI BriefingSERHANT.'s Playbook for Rapid AI Iteration
Key point
SERHANT. leveraged the Vercel AI SDK to flexibly swap between various LLMs and rapidly scale its AI service.
Details
SERHANT.'s AI product S.MPLE was built on Next.js and Vercel, securing the flexibility to expand into a React Native iOS app without rebuilding the backend.
To respond to the rapidly changing AI technology landscape, the team adopted the Vercel AI SDK. This abstracts away the complexity between models, providing infrastructure independence that lets them swap models or add new features through configuration changes alone, without being locked into a specific model.
They also implemented orchestration that selects the optimal model depending on the purpose of the task:
- Claude Sonnet: complex market analysis where accuracy matters
- Claude Haiku: lightweight intent recognition and data entry where speed matters
- OpenAI: conversational voice and general chat features
- Gemini: image generation and browser automation workflows
By centrally managing usage across the app through the AI Gateway, they sped up debugging and cost optimization. Thanks to this strategy, they were able to successfully scale the service to over 900 users during the internal pilot stage, without major changes to their infrastructure.
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