NGenesis

NGenesis is an intelligent multi-tool AI orchestration platform that automatically coordinates different AI services to accomplish complex tasks from a single natural language prompt.

Comment

Inspiration

What it does

How I built it

Challenges I ran into

Tagline: AI Agent Orchestration That Handles Complex Workflows On-Demand With Just a Prompt

Inspiration

Managing multiple AI tools feels like conducting an orchestra - each API has its own documentation, authentication, and quirks. I wondered: What if an AI agent could orchestrate everything automatically? Just describe what you want, and let the agent figure out which tools to use, generate the necessary code, execute workflows, and ensure quality - all on-demand.

What it does

NGenesis is a smart AI agent that handles complex multi-tool workflows from a single prompt.

Simply tell it what you need - like "Monitor competitor prices and create weekly reports with visuals" - and the agent:

  • Analyzes your intent with Gemini 2.0 Flash
  • Generates custom code using Cline
  • Orchestrates TinyFish for web scraping, Freepik for images, Yutori for monitoring
  • Validates everything with Macroscope
  • Delivers complete results

No configuration. No coding. Just intelligent, on-demand orchestration.

How I built it

Backend: Node.js + TypeScript + Express with SQLite database

Core Architecture:

  • Gemini 2.0 Flash as the orchestration brain - analyzes intents, plans workflows, synthesizes outputs
  • Cline for on-demand code generation - creates custom execution logic for each workflow
  • AgentQL/TinyFish/Mino for self-healing web scraping with natural language goals
  • Freepik Mystic API for context-aware image generation
  • Yutori Scouts for continuous website monitoring and alerts
  • Tonic Fabricate for synthetic test data generation
  • Macroscope for automated code quality review and validation

Frontend: Vanilla JavaScript with a clean web dashboard for creating agents and monitoring workflows

Key Innovation: Multi-iteration feedback loop where Gemini evaluates outputs, identifies gaps, and triggers refinements automatically.

Challenges I ran into

Tool Coordination: Getting multiple AI APIs to work together seamlessly was complex. Each tool has different authentication, response formats, and timing. Solved this by creating a unified orchestration layer with Gemini as the central coordinator.

On-Demand Code Generation: Making Cline generate reliable, production-ready code for unpredictable user requests required careful prompt engineering and validation loops with Macroscope.

Quality Assurance: Ensuring outputs from multiple tools met quality standards. Implemented a multi-iteration feedback system where Gemini scores completeness and triggers refinements when needed.

Rate Limiting: Managing API rate limits across multiple services while maintaining fast response times. Built intelligent throttling and parallel execution strategies.

Accomplishments that I'm proud of

✨ True On-Demand Orchestration - Nothing is pre-built. The agent generates custom workflows for every unique request.

🧠 Smart Tool Selection - Users don't specify which tools to use; Gemini analyzes intent and automatically chooses the right combination.

🔄 Self-Validating Pipelines - Code generated by Cline is automatically reviewed by Macroscope, ensuring quality without manual intervention.

🎯 Real-World Impact - Transforms complex tasks like "scrape competitors, generate reports, set up monitoring" from hours of development into a 60-second prompt.

⚡ Intelligent Integration - Successfully orchestrated 7 different sponsor tools into a cohesive system that's greater than the sum of its parts.

What I learned

AI as an Orchestrator: Gemini isn't just good at answering questions - it excels at planning, coordinating, and synthesizing outputs from multiple sources.

Code Generation Maturity: Cline can generate production-quality code on-demand when properly guided, opening up possibilities for truly dynamic applications.

Self-Healing is Powerful: AgentQL's natural language approach to web scraping eliminates the brittleness of traditional selectors - workflows that would break with website updates just keep working.

Quality Automation: Macroscope's code review automation proved that quality assurance can be built into pipelines rather than being a separate manual step.

What's next for NGenesis

🎓 Learning from History - Train the agent to learn from past executions, getting smarter about tool selection and workflow optimization over time.

🎨 Custom Tool Creation - Let users create their own tool integrations that the agent can incorporate into future workflows.

📅 Advanced Scheduling - Multi-step workflows with conditional logic, scheduled execution, and dependency management.

🏢 Enterprise Features - Team collaboration, role-based access, usage analytics, and centralized API key management.

🌐 Template Marketplace - Community-shared workflow templates that users can customize and deploy instantly.

Vision: Make NGenesis the universal orchestration layer for AI tools - where any combination of services can work together intelligently, no manual integration required.

Built With

  • Gemini 2.0 Flash - AI orchestration and synthesis
  • Cline - Autonomous code generation
  • AgentQL/TinyFish/Mino - Self-healing web automation
  • Freepik Mystic API - AI image generation
  • Yutori Scouts - Continuous monitoring
  • Tonic Fabricate - Synthetic data generation
  • Macroscope - Code quality review
  • Node.js - Backend runtime
  • TypeScript - Type safety
  • Express.js - REST API framework
  • SQLite - Database
  • Vanilla JavaScript - Frontend## Accomplishments that I'm proud of

What I learned

What's next for NGenesis

Learning from History - Train the agent to learn from past executions, getting smarter about tool selection and workflow optimization over time.

🎨 Custom Tool Creation - Let users create their own tool integrations that the agent can incorporate into future workflows.

📅 Advanced Scheduling - Multi-step workflows with conditional logic, scheduled execution, and dependency management.

🏢 Enterprise Features - Team collaboration, role-based access, usage analytics, and centralized API key management.

🌐 Template Marketplace - Community-shared workflow templates that users can customize and deploy instantly.

Vision: Make NGenesis the universal orchestration layer for AI tools - where any combination of services can work together intelligently, no manual integration required.

Built With

Share this project:

Updates