Executive Summary
Real estate firm SERHANT. developed S.MPLE, a proprietary AI platform for its agents, using Vercel's AI SDK and AI Gateway. This technology stack provided a crucial abstraction layer, enabling them to orchestrate multiple large language models (like Claude, OpenAI, and Gemini) for different tasks without being locked into a single provider. The solution allowed SERHANT. to iterate rapidly and scale its user base from a small pilot to over 900 agents without re-architecting its infrastructure.
Key Takeaways
* Product: The case study focuses on SERHANT.'s AI platform, S.MPLE, which was built using Vercel's AI SDK and AI Gateway.
* Vendor Independence: Vercel's AI SDK acts as a universal adapter, allowing developers to switch between different AI model providers (OpenAI, Claude, Gemini) through simple configuration changes rather than code rewrites.
* Multi-Model Orchestration: SERHANT. optimizes performance and cost by using specific models for specific tasks: Claude for complex analysis, OpenAI for chat, and Gemini for image generation and automation.
* Unified Observability: The AI Gateway provides a single dashboard for monitoring token usage, debugging, and analyzing costs across all integrated AI models and applications.
* Proven Scalability: The Vercel-based stack enabled the S.MPLE platform to scale seamlessly from an internal pilot of 200 agents to over 900 public users without infrastructure concerns or backend changes.
Strategic Importance
This case study positions Vercel's AI tooling as a critical enabler for companies needing to build flexible, future-proof AI applications that can adapt to the rapidly changing model landscape while controlling costs and reducing engineering overhead.