Impact at a glance Using multiple models to balance cost, speed, and complexity Worry-free scale: Adding users and assets Future-proofing an unpredictable landscape Started with Next.js on Vercel, which made it easier to expand to a React Native iOS app without rebuilding their backend Engineers focus on AI design and iteration instead of platform plumbing Orchestrates OpenAI, Claude, and Gemini by task to optimize cost vs output Scaled from an internal pilot to 800–900+ real estate agents without replatforming for complex, accuracy-critical analysis like comparative market analysis, where strong structured-data reasoning mattersClaude Sonnet for lightweight intent and field-filling tasks where speed mattersClaude Haiku for conversational voice and general chat behaviorsOpenAI models for image generation, browser automation, and computer-use workflows where reliability and speed are the priorityGemini When Jeremy Bunting joined SERHANT.

as VP of Engineering in February 2024, was already showing promise. 200 real estate agents were piloting the AI product, which was designed to save time by automating cumbersome and repetitive daily tasks, like market analysis and contact…