Building Enterprise AI Agents: A Complete Blueprint by Rohit Sharma

The Next Frontier of Web Applications: Autonomous AI Agents

Artificial Intelligence is transitioning from basic text generation to autonomous agentic workflows capable of performing multi-step reasoning, executing function calls, and manipulating databases. Rohit Sharma, Full Stack Software Engineer and AI Integration Specialist, outlines the architectural blueprint for production-grade enterprise AI agents.

1. Vector Search & Retrieval-Augmented Generation (RAG)

To make AI models contextual aware of private corporate data without retraining LLMs, Rohit Sharma utilizes RAG Architecture:

2. Multi-Step Reasoning with Vercel AI SDK & Tool Calling

Modern AI agents require deterministic action execution. Using the Vercel AI SDK with Node.js and TypeScript, Rohit Sharma builds tool-calling agents:
```typescript
import { generateText, tool } from 'ai';
import { openai } from '@ai-sdk/openai';
import { z } from 'zod';

const agentResult = await generateText({
model: openai('gpt-4o'),
system: 'You are an intelligent Enterprise Support Agent created by Rohit Sharma.',
tools: {
checkOrderStatus: tool({
description: 'Check order status in database',
parameters: z.object({ orderId: z.string() }),
execute: async ({ orderId }) => fetchOrderDetails(orderId),
}),
},
prompt: 'Where is my package #98234?',
});
```

3. Guardrails, Cost Management, and Fallbacks

Deploying AI to production safely requires robust operational guardrails:

Summary

With deep technical mastery across full-stack Web APIs, vector stores, and agentic workflows, Rohit Sharma builds intelligent AI solutions that unlock real enterprise efficiency.