You will get a custom AI agents and workflows using LangChain and LangGraph
Project details
Stop relying on fragile, linear chatbots and upgrade to deterministic, multi-agent systems. I engineer production-ready AI agent workflows using LangGraph and the Model Context Protocol (MCP), building autonomous backend systems that execute complex, multi-step business logic without hallucinations or infinite loops. Whether you need a specialized research agent, an automated financial data processing pipeline, or a dynamic routing system that triggers external APIs, I architect the state machine logic to ensure your agents follow exact conditional pathways. By utilizing custom Python tools and secure MCP servers, your application gains controlled, safe access to your private databases and third-party platforms. At the end of the project, you receive an enterprise-grade handoff featuring clean, maintainable, and modular Python code, complete with full documentation and dependency management ready for immediate deployment.
AI Development Type
Knowledge Representation, Recommendation SystemAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$35
|
Standard
$50
|
Advanced
$75
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 5 days |
Number of Revisions | 1 | 2 | 4 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | - |
Model Documentation | - | ||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$25 - $50Frequently asked questions
About Adil
AI Workflow & Automation Architect | n8n, LangChain, Python
Tetouan, Morocco - 9:04 am local time
My recent work includes developing a voice-first AI legal assistant using React Native, FastAPI, and ChromaDB for seamless vector retrieval. I am also highly experienced with the Model Context Protocol and the n8n automation platform, allowing me to connect LLMs seamlessly to external tools and complex business workflows.
Core Expertise:
AI & LLMs: LangChain, LangGraph, Generative AI integration, ChromaDB, RAG pipelines.
Backend Development: Python, FastAPI, API development and integration.
Automation & Tooling: n8n, Model Context Protocol servers.
Whether you need a custom AI agent to streamline your operations or a robust backend to power your next application, I build scalable, efficient, and well-architected solutions. Let's discuss how we can bring your project to life.
Steps for completing your project
After purchasing the project, send requirements so Adil can start the project.
Delivery time starts when Adil receives requirements from you.
Adil works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture Design & Scope Mapping
I review your intake questionnaire to map out the exact state machine logic. I define the specific nodes, edges, and conditional routing required to translate your manual business process into a deterministic LangGraph workflow.
Custom Tool & MCP Development
I build the secure integration layer. This involves setting up custom Python tools or a Model Context Protocol (MCP) server so your AI agent can safely interact with your external APIs, private databases, or third-party platforms without data leaks.