$ cat services/nodejs-ai.md
Node.js AI integration, by a named engineer
Agencies sell you a bench. I'm Aditya Kumar - Tech Lead @ MM Nova Tech, 9+ years of shipped systems - and I build AI features into existing Node.js and Next.js apps with my own hands. The terminal assistant on this site's homepage runs on the same patterns I ship to clients.
AI features inside your Node/Next.js app
Chat assistants, retrieval-augmented generation over your own data, streaming responses, and tool-calling agents - built into your existing Next.js or Node backend with the Vercel AI SDK or direct provider APIs. Works with your App Router, edge or Node runtime, and existing auth. No rewrite.
Production concerns handled, not demoed
Rate limiting, spend caps, prompt caching, streaming, failure modes, and evals. The difference between an AI demo and an AI feature is everything that happens when the API is slow, wrong, or down.
Full-stack delivery
9+ years shipping TypeScript/Node, Next.js, and React systems for real businesses. One person from data model to deployed feature - no handoffs.
Who this is for
A good fit
- You have a Next.js or Node app and want streaming AI features in it without a rewrite.
- You need the endpoint hardened: rate limits, spend caps, and sane behaviour when the provider is down.
- You want the AI SDK used properly rather than copied from a quickstart.
Not a fit
- You want a greenfield AI product designed from scratch. This is integration work.
- You need a realtime multiplayer system where AI is incidental.
- Your bottleneck is model quality, not engineering. That is a research problem.
How an engagement works
- 01
30-minute call
You describe the workflow that hurts. I tell you honestly whether AI helps - sometimes the answer is a queue and a cron job, and I'll say so.
- 02
Fixed-scope audit
One week. I review your Node/Next.js codebase, identify the 2-3 highest-ROI AI integrations, and deliver a build-ready spec with cost and latency estimates. Fixed quote up front.
- 03
Build
I implement the spec - tested, rate-limited, spend-capped, deployed. You own the code; nothing is locked to me.
The offer: AI Integration Audit
One week, fixed price, quoted on the call. You get a build-ready spec naming the 2-3 AI integrations with the highest ROI for your Node app - with cost, latency, and risk spelled out.If the honest answer is “AI doesn't help here,” you'll get that in writing instead, and it costs you the call.
Proof, not promises
Read the field notes - end-to-end build walkthroughs of real projects - or the AI engineering series on Dev.to.
- AskAditya - a public LLM endpoint that cannot run up a bill →
Built in exactly this stack: Next.js App Router, the Vercel AI SDK, streaming, four gates before the model. Open it and try to break it, then read what is behind it.
- The lens that stops me lying about my own work →
A Node CLI wired into a commit hook and CI. The kind of unglamorous tooling that decides whether a codebase stays honest.