AI Agent Automation: Multi-Agent Workflows with LangGraph by Talha DilshadAI Agent Automation: Multi-Agent Workflows with LangGraph by Talha Dilshad
AI Agent Automation: Multi-Agent Workflows with LangGraphTalha Dilshad
Cover image for AI Agent Automation: Multi-Agent Workflows with LangGraph
Automate repetitive, multi-step work with AI agents that research, write, decide and take action across your tools, with guardrails so they run reliably.
I'm currently building Lumina, a 7-agent content system (style cloning, trend scouting, drafting, QA, scheduling and analytics) orchestrated with LangGraph, with checkpointed crash recovery, retry limits and platform APIs wrapped as MCP servers.
What you get
A custom AI agent or multi-agent workflow designed around your process
Integrations with your tools and data (APIs, databases, Google Sheets, Slack, CRMs, social platforms) via MCP or direct APIs
Reliability built in: shared state, error recovery, retry limits and human-in-the-loop approval where needed
Monitoring and tracing with LangSmith so you can see what the agents did and why
Deployment (Docker, scheduled jobs or API) plus a handover guide
Great for
Content creation and scheduling, research and lead enrichment, report generation, support triage, data entry and other back-office workflows.
How it works
Map your current workflow and where AI can save the most time
Build a working agent prototype for your review
Harden, connect to your tools and deploy
Tell me which task eats up your team's time and I'll suggest an automation plan for free.
Starting at$500
Duration3 weeks
Tags
AI Agent Developer
AI Agent Engineer
Service provided by
Talha Dilshad Lahore, Pakistan
AI Agent Automation: Multi-Agent Workflows with LangGraphTalha Dilshad
Starting at$500
Duration3 weeks
Tags
AI Agent Developer
AI Agent Engineer
Cover image for AI Agent Automation: Multi-Agent Workflows with LangGraph
Automate repetitive, multi-step work with AI agents that research, write, decide and take action across your tools, with guardrails so they run reliably.
I'm currently building Lumina, a 7-agent content system (style cloning, trend scouting, drafting, QA, scheduling and analytics) orchestrated with LangGraph, with checkpointed crash recovery, retry limits and platform APIs wrapped as MCP servers.
What you get
A custom AI agent or multi-agent workflow designed around your process
Integrations with your tools and data (APIs, databases, Google Sheets, Slack, CRMs, social platforms) via MCP or direct APIs
Reliability built in: shared state, error recovery, retry limits and human-in-the-loop approval where needed
Monitoring and tracing with LangSmith so you can see what the agents did and why
Deployment (Docker, scheduled jobs or API) plus a handover guide
Great for
Content creation and scheduling, research and lead enrichment, report generation, support triage, data entry and other back-office workflows.
How it works
Map your current workflow and where AI can save the most time
Build a working agent prototype for your review
Harden, connect to your tools and deploy
Tell me which task eats up your team's time and I'll suggest an automation plan for free.
$500