We Have Built an Advanced Multi-Agent LangGraph System with Planners & Human-in-the-Loop for Salesforce We Have built a production-style multi-agent system that demonstrates how modern agent architectures can be planned, controlled, and executed end-to-end using LangGraph. 🔹 Workflow Breakdown 1️⃣ We use a supervisor agent to analyze user queries and intelligently route tasks 2️⃣ We designed two specialized sub-agents, each focused on a different domain 3️⃣ We implemented independent planners to generate structured plans per agent 4️⃣ We added a Human-in-the-Loop approval gate (Approve / Edit / Reject / Re-plan) 5️⃣ We integrated MCP (Model Context Protocol) with SSE-based automatic tool loading 6️⃣ We execute plans dynamically only after human validation 7️⃣ We return final structured outputs from the correct sub-agent This system shows how we combine transparency, control, and reasoning in complex multi-agent workflows using LangGraph. 🔹 System Capabilities • We coordinate agents through a supervisor-driven architecture • We enable planner → agent routing logic • We keep humans in control of the planning pipeline • We support automatic tool discovery via MCP • We perform tool-calling inside agent reasoning loops • We maintain conversation memory, checkpointing, and error handling • We provide full end-to-end execution visibility 🎥 What You’ll See in This Demo • We walk through the full planning sequence • We show supervisor reasoning and planner selection • We demonstrate the human approval and re-planning step • We execute tools via MCP/SSE • We run sub-agent workflows • We deliver the final end-to-end result 👉 Ideal for: Multi-Agent System Design LangGraph & LangChain Developers Human-in-the-Loop AI Enterprise AI Workflows Salesforce Automation Agentic AI Architectures #AI #LangGraph #LangChain #MCP #AIAgents #HumanInTheLoop #AgenticAI #EnterpriseAI #MultiAgentSystems #Automation #Salesforce #LLM

At DataLinkk, we built a production-ready Test-Time Diffusion Deep Researcher (TTD-DR) using LangGraph and LangSmith — and ran the entire multi-stage workflow LIVE end-to-end. 🔹 Workflow Breakdown 1️⃣ Planning agent to define research strategy 2️⃣ Noisy draft generation for hypothesis exploration 3️⃣ Iterative search & retrieval across sources 4️⃣ Diffusion-style refinement to denoise insights 5️⃣ Feasibility reasoning and validation 6️⃣ Final structured research report generation This system demonstrates how test-time diffusion reasoning can be applied to deep research workflows using long-running agents, iterative refinement, and full trace visibility inside LangSmith. 👉 Ideal for: Deep Research Automation AI Agent Builders LLM Reasoning Systems Enterprise Knowledge Workflows Multi-Stage Agentic Pipelines #AI #LangGraph #LangSmith #AIAgents #DeepResearch #LLM #Automation #AgenticAI #EnterpriseAI #ResearchAutomation

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

At DataLinkk, we’ve built a fully automated end-to-end LinkedIn lead generation system using Browseflow.io and n8n. 🔹 Workflow Breakdown 1️⃣ Scrape targeted LinkedIn profiles using advanced filters 2️⃣ Automatically send connection requests from your LinkedIn profile 3️⃣ Monitor and verify accepted connections 4️⃣ Send personalized follow-up messages automatically after acceptance This system is designed for agencies, founders, and sales teams who want to scale outbound outreach without manual work, while keeping personalization intact. 👉 Ideal for: B2B Lead Generation Sales Automation LinkedIn Outreach at Scale AI-Driven Business Automation #Automation #B2BSales #LinkedInOutreach #n8n #AI #SalesAutomation #CRM #HubSpot

I just built a complete B2B outreach automation system that does in minutes what used to take days! Here's what it does: ✅ Scrapes LinkedIn for company data ✅ Enriches profiles using AI ✅ Finds decision-makers (CEO, Sales Directors, etc.) ✅ Sends personalized connection requests ✅ Syncs everything to HubSpot CRM All running on autopilot with n8n workflows. In this video, I'll walk you through the 4-workflow system and show you how it actually works. #Automation #B2BSales #LinkedInOutreach #n8n #AI #SalesAutomation #CRM #HubSpot