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Malik Hamza Shabbir
AI Engineering

Add AI to Your App

I add AI features to your existing SaaS or web app through clean API integration, no rewrite needed, for owners who want chat, search, or copilots shipped fast.

Send your project brief Last updated June 11, 2026
In short

AI integration services add features like chat, summarization, classification, and copilots to your existing app without a rewrite. I work into your current Next.js, React, or Node stack and wire up OpenAI, Azure OpenAI, or Claude through clean API calls. I handle prompts, streaming, retries, cost controls, and the UI so the feature ships and holds up in production.

What you get

OpenAI, Azure OpenAI, and Claude API integration into your existing backend, with model fallback and retry logic
Streaming chat and copilot UI built in React or Next.js, wired to your current auth and data
RAG search over your docs or database using pgvector or Pinecone, with source citations
Summarization, extraction, and classification endpoints added to your Node or Python API
Token usage tracking, rate limiting, and per-user cost caps so spend stays predictable
Prompt design, evaluation, and versioning so outputs stay consistent as you iterate
n8n or LangGraph workflows for multi-step AI tasks like routing, tagging, and enrichment
Secure key handling and request logging, kept out of the client and off your front end

How I work

  1. 01

    Short call and scope

    We talk through your app, the feature you want, and your stack. I confirm what is realistic, pick the right model, and send a fixed quote with a clear timeline before any work starts.

  2. 02

    Integrate into your stack

    I wire the AI feature into your existing codebase, not a separate app. That means your auth, your database, and your UI. I handle prompts, streaming, retries, and cost controls as I build.

  3. 03

    Test and tune outputs

    I run the feature against real inputs, check edge cases, and tune prompts until outputs are consistent. I add usage tracking and rate limits so you can see and control spend from day one.

  4. 04

    Ship and hand off

    I deploy the feature to production and walk you through how it works. You get clean code, documented endpoints, and notes on how to tweak prompts and watch costs after I am done.

Ways to work together

Single AI feature in 2 weeks, fixed price

I add one scoped AI feature to your app, such as a chat widget, a summarize button, or auto-tagging. Fixed price, fixed timeline, wired into your existing stack and shipped to production.

RAG search over your data, 2 to 3 weeks

I index your docs or database with pgvector or Pinecone and add semantic search with cited answers. Includes the retrieval pipeline, an OpenAI or Claude answer layer, and a clean query UI.

AI integration audit, 1 week

I review your app and map where AI fits, which models suit each use, and what each feature costs to run. You get a written plan with scope, stack, and an honest estimate per feature.

Azure OpenAI setup for your SaaS, fixed price

I integrate Azure OpenAI into your existing app with deployment config, key management, and content filtering. Good fit if you need data residency or are already on Azure infrastructure.

Tech I use for this

Next.jsReactTypeScriptNode.jsPythonOpenAI APIAzure OpenAIClaude APILangChainLangGraphpgvectorPineconen8nPostgreSQL

Common questions

Q.How much does it cost to add AI features to my app?

AI integration usually runs $120 to $200 per hour, or a fixed price per feature. A single scoped feature like a chat widget or summarize button often lands as a flat fee once we define it. After a short call I send a fixed quote, so you know the full cost before any work begins.

Q.Can you add AI to my existing SaaS without a rewrite?

Yes. I integrate AI into your current stack through API calls, not a rebuild. I work into your existing Next.js, React, or Node codebase and use your auth and database. Most features, like chat, search, or summarization, slot in as new endpoints and UI without touching your core app.

Q.Which AI models do you integrate, OpenAI or Azure OpenAI or Claude?

I integrate OpenAI, Azure OpenAI, and Claude, and I help you pick the right one. OpenAI suits most general use. Azure OpenAI fits teams needing data residency or already on Azure. Claude is strong for long context and careful reasoning. I can also set up model fallback across providers.

Q.How long does it take to ship an AI feature?

A single scoped AI feature usually ships in about 2 weeks. RAG search over your data takes 2 to 3 weeks, since it includes indexing and a retrieval pipeline. Timelines depend on how clean your existing code and data are, which I confirm on our first call before quoting.

Q.How do you keep AI costs from getting out of control?

I build cost controls into every integration. That means token usage tracking, per-user rate limits, and spend caps so a single user cannot run up your bill. I also pick models to match each task, using cheaper models where they work and reserving stronger ones for hard cases.

Q.Can you add RAG search over my own documents and data?

Yes. I build RAG search using pgvector or Pinecone over your docs or database. The feature returns answers with source citations so users can trust the result. I handle indexing, the retrieval pipeline, the OpenAI or Claude answer layer, and a clean query UI inside your app.

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Start your project

Tell me what you are building and I will reply within one business day with next steps. You talk to me, the person writing the code, the whole way through.