You will get a custom AI SaaS application with Python & Next.js

Let a pro handle the details

Buy Web Application Programming services from Muhammad, priced and ready to go.

Let a pro handle the details

Buy Web Application Programming services from Muhammad, priced and ready to go.

Project details

Building an AI SaaS product requires more than connecting an API to a user interface. A successful platform needs clean architecture, secure authentication, efficient backend services, responsive frontend development, and an experience that users can rely on from day one.

This service provides complete AI SaaS development using Python and Next.js for startups, founders, and businesses launching AI-powered products. Whether you're creating a subscription platform, AI writing tool, document processor, customer portal, automation platform, or business application, every feature is built around your product goals.

The solution can include user authentication, dashboards, payment integration, AI features, database design, admin panels, API development, deployment, and technical documentation. You'll receive a modern application that's organized, easy to manage, and ready for real users while giving your business a professional product that supports long-term growth.
What's included
Service Tiers Starter
$1,200
Standard
$2,800
Advanced
$5,500
Delivery Time 10 days 20 days 35 days
Number of Revisions
UnlimitedUnlimitedUnlimited
Design Customization
Content Upload
Responsive Design
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Source Code
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Muhammad M.Status: Offline

About Muhammad

Muhammad M.Status: Offline
AI Chatbot Developer | SaaS, AI Agents, RAG, Langchain & Automation
Attock City, Pakistan - 7:28 pm local time
Full-stack AI Chatbot development using Python, FastAPI, LangChain, LangGraph, OpenAI, Claude, and Next.js. Backend architecture, RAG pipelines, multi-agent systems, user authentication, subscription billing, vector databases, and deployment. Everything a working AI SaaS product actually needs, not just the LLM call in the middle.

What I build and how

Most AI Chatbot requests fall into a few categories. New SaaS products where the founder has a workflow they want to turn into a product. Existing applications where a team wants to add AI features properly instead of bolting on an API call. Private knowledge platforms where businesses need RAG over their own documents without sending data to public models. Internal tools replacing spreadsheets and manual approval chains with AI-assisted workflows.

For RAG systems, I build LangChain and LangGraph retrieval pipelines with proper chunking, embedding strategy, vector storage in Pinecone or pgvector, source citations, and hallucination controls. Not a chatbot sitting on top of a PDF. An actual retrieval architecture that gives accurate answers from private data.

For AI agents, I go beyond single-turn completions. Multi-agent systems with supervisor patterns, human-in-the-loop approval steps, tool calling across APIs and databases, structured outputs with validation, retry logic, and cost controls. Systems built on LangGraph that handle the edge cases instead of breaking on them.

For full-stack AI Chatbots, the AI layer is one part. The rest includes FastAPI backend with proper authentication and role management, multi-tenant architecture for SaaS, PostgreSQL or MongoDB database design, Next.js or React frontend, Stripe subscription billing, usage limits, admin dashboards, background jobs, logging, and cloud deployment on AWS or Railway.

I have shipped legal knowledge base platforms, invoice and document processing systems, tender and proposal generation tools, AI tutoring applications, and multi-tenant RAG platforms for B2B clients.

Technical depth

AI: OpenAI GPT-4o, Claude 3.5, Gemini, AWS Bedrock, LangChain, LangGraph, RAG, embeddings, vector databases, fine-tuning, HuggingFace
Backend: Python, FastAPI, Node.js, REST APIs, webhooks, background jobs, Celery
Frontend: Next.js, React, TypeScript, Tailwind CSS
Databases: PostgreSQL, MongoDB, Pinecone, pgvector, Supabase, FAISS
Infrastructure: AWS, Railway, Docker, GitHub Actions, CI/CD

Good fit

You are building an AI SaaS product or vertical AI application and need a developer who understands both the AI architecture and the product infrastructure around it. You have an existing application and want AI features integrated properly with real retrieval or agent capabilities. You tried building with LangChain or OpenAI yourself and hit complexity in the architecture. You need multi-tenant infrastructure, billing, and user management alongside the AI.

Not a good fit

You need a basic ChatGPT wrapper with a chat interface. You want AI features that look impressive in demos but have no production requirements. Budget under one thousand dollars for full product builds.

Send me your product brief, existing workflow, or technical requirements. I will respond with the architecture approach and a practical first milestone within 24 hours.

Steps for completing your project

After purchasing the project, send requirements so Muhammad can start the project.

Delivery time starts when Muhammad receives requirements from you.

Muhammad works on your project following the steps below.

Revisions may occur after the delivery date.

Initial consultation

Review the work, release payment, and leave feedback to Muhammad.