We Built a Production-Ready Multi-Agent AI System (LangGraph + LangChain + LangSmith)

At DataLinkk, we built a real-world end-to-end multi-agentic automation system using LangGraph, LangChain, and LangSmith — designed for scalable production workflows, not demos.

🔹 Workflow Breakdown

1️⃣ Opportunity agent to detect and qualify incoming signals

2️⃣ Deal context agent to build full contextual memory

3️⃣ Research agent to enrich data from multiple sources

4️⃣ Pre-meeting agent to prepare actionable insights

5️⃣ Transcript agent to process and reason over conversations

6️⃣ Nudge agent to trigger intelligent follow-ups

7️⃣ Supervisor agent orchestrating routing, memory, and state

This system automates complex reasoning workflows using conditional routing, long-running execution, shared memory, and evaluation — all optimized for real enterprise use cases.

👉 Ideal for:

AI Agent Development

LLM-Powered Automation

Enterprise AI Workflows

Sales, Ops & Research Assistants

Multi-Agent Orchestration Systems

#AI #MultiAgentSystems #LangGraph #LangChain #LangSmith #Automation #LLM #AIAgents #EnterpriseAI #SalesAutomation

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