Artificial Intelligence (AI)
Vercel AI SDK Consulting
Expert consulting for the Vercel AI SDK. We help engineering teams design and scale AI architectures that won't break in production.
- Focus
- Full-stack engineering
- Engagement
- Fixed-scope or dedicated
- Timeline
- From 4 weeks
- Ownership
- 100% yours
Our process for vercel ai sdk consulting
A fixed four-step path from first call to production, with weekly demos and a hard launch date.
Systems audit
We analyze the current systems, constraints, and risks, then define scope and a fixed quote.
Deliverable
Systems map & fixed quote
Architecture
We design the target architecture and a safe, incremental migration or build path.
Deliverable
Architecture & migration plan
Build & test
We implement with rigorous automated testing, monitoring, and reversible, well-documented changes.
Deliverable
Tested, monitored code
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 auditOverview
The Vercel AI SDK is powerful, but building reliable AI applications takes more than just calling an API. At FoundrySoft, our Vercel AI SDK Consulting service helps your team make the right architectural choices before you write the first line of code.
We work directly with your engineers to review your infrastructure, select the right models, and design systems that handle edge cases gracefully.
Key Capabilities
-
Architecture Review
We evaluate your current stack and design a Vercel AI SDK implementation plan that fits your specific data and latency requirements. -
Model Selection & Routing
We help you choose between providers (OpenAI, Anthropic, Google) and set up dynamic routing to balance cost and performance. -
Production Readiness
We implement guardrails, error handling, and fallback mechanisms so your AI features degrade gracefully instead of crashing.
Why Partner With Us?
- Direct Experience: We have built and scaled applications using every version of the SDK, including the latest v7 updates.
- Pragmatic Advice: We tell you when you don't need AI. If a standard database query is better, we will say so.
- Team Enablement: We do not just hand over a document. We pair with your engineers so they understand the system we build together.
Contact us to schedule a technical deep dive into your AI roadmap.
What we've written about this
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 itBuilding 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 itCreating an Autonomous Coding Agent using Vercel AI SDK and MCP
Learn how to build your own AI software engineer. We use the new Model Context Protocol (MCP) to give the Vercel AI SDK agent access to read your local file system, write code, and execute bash commands safely.
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Learn moreReady to build vercel ai sdk consulting?
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.