# Vercel — SERHANT.'s playbook for rapid AI iteration

- Company: Vercel (vercel.com)
- Announced: 2026-03-23T04:00:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://vercel.com/blog/serhants-playbook-for-rapid-ai-iteration
- Record: https://forck.live/items/20727-serhant-s-playbook-for-rapid-ai-iteration
- Subject: v0 / AI SDK / AI Gateway
- Models affected: Claude Sonnet, Claude Haiku, OpenAI models, Gemini

SERHANT.'s S.MPLE AI product, built on Next.js and Vercel, orchestrates multiple models (Claude Sonnet, Claude Haiku, OpenAI, Gemini) by task to optimize cost and output. The team scaled from a 200-agent pilot to over 900 users without infrastructure changes, using Vercel's AI SDK and AI Gateway for abstraction and unified visibility. The company is now building toward conversational AI agents that combine multiple tasks in a single request.

## Evidence

Verbatim from https://vercel.com/blog/serhants-playbook-for-rapid-ai-iteration:

> Because the SERHANT. S.MPLE team was not spending its time rebuilding infrastructure or maintaining one-off AI integrations, they could shift their attention to testing models against real product tasks and choosing the right tool for each job: Claude Sonnet for complex, accuracy-critical analysis like comparative market analysis, where strong structured-data reasoning matters Claude Haiku for lightweight intent and field-filling tasks where speed matters OpenAI models for conversational voice and general chat behaviors Gemini for image generation, browser automation, and computer-use workflows where reliability and speed are the priority

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Record: https://forck.live/items/20727-serhant-s-playbook-for-rapid-ai-iteration
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