FoundrySoft
Artificial Intelligence (AI)

Artificial Intelligence (AI)

Vercel AI SDK Integration

Seamlessly integrate Vercel AI SDK into your existing React, Next.js, or Node.js applications. We build the features so your team can focus on the core product.

All services
Focus
Full-stack engineering
Engagement
Fixed-scope or dedicated
Timeline
From 4 weeks
Ownership
100% yours
How we deliver

Our process for vercel ai sdk integration

A fixed four-step path from first call to production, with weekly demos and a hard launch date.

Days 1–3
Step 01

Systems audit

We analyze the current systems, constraints, and risks, then define scope and a fixed quote.

Deliverable

Systems map & fixed quote

Days 4–7
Step 02

Architecture

We design the target architecture and a safe, incremental migration or build path.

Deliverable

Architecture & migration plan

Weeks 2–3
Step 03

Build & test

We implement with rigorous automated testing, monitoring, and reversible, well-documented changes.

Deliverable

Tested, monitored code

Week 4
Step 04

Deploy & handover

We verify reliability, optimize performance, deploy to production, and hand over full ownership.

Deliverable

Production release & docs

See where your project fits.

Book your systems audit

Overview

Adding AI to an existing application usually creates a mess of fragile API calls and confusing state management. Our Vercel AI SDK Integration service handles the heavy lifting of wiring AI into your production environment.

Whether you need a simple chat interface, a complex multi-step agent, or multimodal data processing, we build it cleanly using the Vercel AI SDK.

Key Capabilities

  1. Seamless Frontend Integration
    We implement the useChat and useCompletion hooks directly into your React or Next.js app, ensuring smooth streaming and a native feel.

  2. Backend Tool Wiring
    We connect the SDK's generateText and streamText functions to your existing databases, APIs, and business logic.

  3. Security & Data Privacy
    We configure the SDK to respect your authentication layers, ensuring users only access data they are permitted to see.

Why Partner With Us?

  • Zero Disruption: We integrate the AI features without breaking your existing workflows or slowing down your CI/CD pipelines.
  • Maintainable Code: We write clean, typed TypeScript that your engineers can easily maintain and extend.
  • Focused Expertise: We understand the nuances of the Vercel AI SDK, so we avoid the common traps of runaway tokens and stale state.

Let us handle the AI integration so your team can stay focused on what they do best.

From our engineers

What we've written about this

All writing

Build a Realtime Voice Agent with Grok

A hands-on Grok Voice API tutorial: WebSocket setup, turn detection, and function calling for live order lookups in a support agent.

Read it

Teaching an Agent Our Client Reporting Playbook with Vercel AI SDK v7 Skills

Our monthly client reports followed a 40-line prompt nobody dared touch. I moved the whole playbook into an uploaded skill using the new uploadSkill API in Vercel AI SDK v7.

Read it

Building a Realtime Voice Support Agent with Vercel AI SDK v7

Voice agents used to mean marrying one provider's WebSocket event format. I used the new experimental realtime API in Vercel AI SDK v7 to build an order-status voice agent I can move between providers.

Read it
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Ready to build vercel ai sdk integration?

Every project starts with a clear scope and a fixed timeline. Tell us what you're building and we'll reply within one business day.