Projects using LeadGraphProjects using LeadGraphBuilt and deployed a production-grade multi-tenant WhatsApp AI lead qualification platform for real estate, using LangGraph, Meta Cloud API, and OpenAI.
An AI agent (not a script) qualifies leads through natural conversation β understanding property type, location, budget, and timeline. Runs on a 7-node LangGraph state machine, not hardcoded if-else flows. Includes multi-language support (English, Hindi, Telugu, Tamil), automated follow-ups, vector-based semantic search for vague queries, real-time broker alerts, and multi-tenant isolation with AES-256 encrypted credential storage. SuperAgent is a multi-agent orchestration system built to automate complex, multi-step workflows across research, planning, coding, and general problem-solving tasks.
The platform uses a hierarchical Hub-and-Spoke architecture powered by LangGraph and Google Gemini. A central Supervisor agent interprets the userβs goal, breaks the task into smaller steps, and routes work to specialized agents based on capability.
The system includes a Coder Agent with isolated local code execution, a Generalist Agent for research and ideation, and persistent shared state to maintain context across agent handoffs. A React-based management dashboard provides visibility into agent activity, workflow progress, and approval-required actions.
Safety is a core part of the design. SuperAgent applies iteration limits to control runaway execution and requires human approval before sensitive code execution steps proceed. The code-execution workspace is isolated through Docker-based containerization.
I designed and developed the agent architecture, orchestration flow, safety model, code-execution environment, persistent context layer, backend services, and management dashboard. 
