AI SaaS & No-Code Platform
Struggling with slow chatbot delivery? AIVIZED Agent Factory is a no-code AI platform that builds, configures, and deploys production-ready AI chatbots in under 10 minutes.

Case Study Overview
Custom AI chatbot development took 1–2 weeks per client with manual backend wiring, custom UI development, and zero reusability across client projects.
Built a self-service AI agent engine featuring a FastAPI/OpenAI backend, SSE streaming, and a minified Vite IIFE embeddable frontend widget.
Reduced delivery turnaround from 14 days to under 10 minutes per chatbot deployment with 100% code reusability.
Need an AI system tailored to your business?
Let's discuss custom AI automation, agents, or SaaS development.
The Problem
Every client project meant building a custom chatbot from scratch — wiring up the backend, designing a frontend widget, configuring the LLM, and handling deployment. What should have been a quick deliverable was bleeding into weeks, pushing back timelines and frustrating clients who expected instant results.
Before AIVIZED
1–2 weeks per chatbot — custom code, manual deployment, client wait time, and zero reusability between projects.
The Solution
I built AIVIZED Agent Factory — a no-code platform where I configure, generate, and deploy a fully functional AI chatbot in under 10 minutes. The backend handles LLM orchestration, API key management, structured logging, and async webhook delivery. The frontend widget bundles everything into a single self-contained script that drops into any website.
After AIVIZED
Under 10 minutes per chatbot — no code, reusable components, instant deployment, and a consistent architecture across every project.
How it works
The system is split into three layers — a Python/FastAPI backend, a self-contained React widget, and an admin dashboard.
FastAPI async server with SQLAlchemy ORM → PostgreSQL on Neon. OpenAI GPT-4o for chat completions with SSE streaming. Fernet-encrypted API key storage, structlog for structured logging, and httpx for async webhook delivery.
React 18 chat widget built with TypeScript, bundled via Vite 5 into a single IIFE file (dist/widget.js). CSS-in-JS keeps styles self-contained. Minified with terser — drop it into any website and it works.
Next.js 14+ dashboard with TailwindCSS, Prisma ORM, and JWT authentication. Manage chatbots, view analytics, configure webhooks, and monitor usage — all from one interface.
Full Tech Stack
A comprehensive breakdown of all languages, frameworks, libraries, and infrastructure used.
Python 3.11.8
Runtime environment
FastAPI (>=0.109)
Async REST API framework
Uvicorn (>=0.27)
ASGI server
SQLAlchemy 2.0
ORM → PostgreSQL (Neon, serverless)
Pydantic 2
Validation & settings
OpenAI Python SDK (>=1.12)
GPT-4o chat completions + SSE streaming
cryptography (Fernet)
Encrypted API key storage
structlog
Structured logging with secret scrubbing
httpx
Async webhook delivery
pytest + ruff
Testing & linting
React 18 (TSX)
Chat widget UI
Vite 5
Build tool → IIFE bundle dist/widget.js
terser
Minification
ESLint
Linting
CSS-in-JS via Vite plugin
Self-contained single-file widget
Next.js 14+
Admin dashboard framework
TailwindCSS
Dashboard styling
Prisma
ORM for dashboard data
JWT Auth
Authentication for admin panel
PostgreSQL 15+
on Neon (serverless)
Docker / Docker Compose
Containerization (planned)
Nixpacks
For Railway builds
Railway / Heroku
Deployment platforms
OpenAPI 3.0/3.1
API contracts for widget, admin, and webhooks
Get Your Own
I build custom AI chatbots tailored to your industry — handling customer support, lead capture, bookings, and more. No code required on your end. Deployed within hours, not days.
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