Hamza Ali
/Case Study
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AI / Low-Code

General Admin

AI Low-Code Platform

General Admin democratizes software development by providing AI-assisted app-building capabilities. Business users describe what they need, and the AI generates the underlying workflow logic, database schema, and UI — all configurable through a visual editor.

AI-generated workflows
Visual app builder
No-code deployment
10x faster delivery

Tech Stack

Node.jsAngularOpenAIPostgreSQLRedisDockerKubernetes
01

The Problem

Internal tooling development is a bottleneck in most organizations. Engineering teams are overwhelmed with requests for dashboards, CRUD apps, and workflow automations that take weeks to build.

02

Architecture

The platform uses a three-layer architecture: a natural language interface powered by OpenAI for intent extraction, a schema-driven UI renderer for visual editing, and a workflow engine that compiles visual flows into executable Node.js functions. All state is managed through a real-time Redis-backed event bus.

03

Engineering Challenges

  • Generating correct, production-safe code from natural language prompts
  • Designing a flexible enough schema to represent arbitrary business workflows
  • Ensuring security isolation between tenant-created apps
  • Providing meaningful AI suggestions without overwhelming non-technical users
04

Solution

Used OpenAI function calling to extract structured workflow intent from natural language. Built a custom DSL for workflow representation that compiles to safe sandboxed JavaScript. Implemented tenant isolation at the database and execution layer using row-level security.

05

Results & Impact

  • Reduced internal tool development time by 10x
  • Enabled non-technical users to build and deploy workflows independently
  • Adopted by 5+ internal departments within 3 months