KOJIE Visual Agent Builder

Build powerful AI agents in minutes with drag-and-drop simplicity

Build Enterprise AI Workflows

Start with a template, or drag AI models from the sidebar to create custom workflows

Component Library
Drag & Drop
โ˜… Popular Essential AI Powered โœจ Show All
๐Ÿ“Š Data Sources
5
Google Sheets Reader
Import spreadsheet data with headers
โ˜… Popular 2 credits
CSV Reader
Parse CSV with custom delimiters
Website Scraper
Extract web content intelligently
Database Query
SQL query execution
RSS Feed Reader
Monitor feeds for updates
๐Ÿค– AI Processing
HTTP Tools
๐Ÿ“ Text Operations
๐Ÿ”€ Flow Control
๐Ÿ”Œ Integrations
๐ŸŽจ Creative Media
๐Ÿ’ป Custom Code
๐ŸŒ Web Automation
Agents
Input/Output
Enterprise Business Logic
Security & Authentication
Social Media Publishing

DRAG & DROP CANVAS

Component Properties

Click on a component
to configure its properties

Step-by-Step Visual Agent Builder Guide

Master the neural workspace in 5 simple steps

01

Select Your AI Components

What to do: Browse the left component panel and find the AI agents you need.

What you'll see: Components organized by category (AI Agents, Data Tools, Logic, etc.)

Example Components:

  • ๐Ÿ“ GPT-5 Text Generator - For content creation
  • ๐Ÿง  Claude-4 Analyzer - For data analysis
  • ๐Ÿ’Ž Gemini Vision - For image processing
  • ๐Ÿ“Š Data Processor - For data transformation

Tip: Hover over components to see their description and capabilities

02

Drag Components to Canvas

What to do: Click and drag your chosen components into the neural workspace canvas.

What you'll see: A glowing drop zone with neural grid that pulses when you hover over it

Expected Experience:

  • โœจ Drag Start: Component glows and follows your cursor
  • ๐Ÿง  Hover Canvas: "NEURAL WORKSPACE" pulses with cyan/green effects
  • โšก Drop Success: Component appears with connection points and glow effects
  • ๐ŸŽฏ Grid Snap: Component automatically aligns to the neural grid

Tip: The canvas will show "Drop Zone" indicators and expand when you approach with a component

03

Connect Your Workflow

What to do: Click and drag from output points (right side) to input points (left side) of other components.

What you'll see: Connection points that glow and expand when you hover over them

Connection Process:

  • ๐Ÿ”ต Output Point: Blue circle on the right side of components
  • ๐ŸŸข Input Point: Green circle on the left side of components
  • โšก Connection Line: Animated curve that flows between connected points
  • ๐ŸŽจ Visual Feedback: Lines glow with neural energy when data flows through

Sample Workflow:

๐Ÿ“ Input Text โ†’ ๐Ÿง  GPT-5 Process โ†’ ๐Ÿ“Š Format Output โ†’ ๐Ÿ’พ Save Result

Real Workflow Output Example:

AI Workflow Demonstration

This is what your completed workflow looks like with real AI processing results

Tip: Invalid connections will show red warning indicators

04

Configure Component Properties

What to do: Click on any component to see its properties in the right panel.

What you'll see: A detailed properties panel with all configurable options

Typical Properties:

  • ๐Ÿ”ง Model Settings: Choose GPT-5, Claude-4, Gemini, etc.
  • โš™๏ธ Parameters: Temperature, max tokens, system prompts
  • ๐Ÿ“‹ Input/Output: Data format and validation rules
  • ๐ŸŽฏ Behavior: Retry logic, error handling, timeouts

GPT-5 Configuration Example:

โ€ข Model: gpt-5
โ€ข Temperature: 0.7 (creativity level)
โ€ข Max Tokens: 2000 (response length)
โ€ข System Prompt: "You are a helpful AI assistant..."

Tip: Properties automatically save as you type

05

Test & Deploy Your Agent

What to do: Use the toolbar buttons to test your workflow and deploy it.

What you'll see: Real-time execution with visual feedback and results

Available Actions:

  • โ–ถ๏ธ Run Flow: Execute your workflow with test data
  • ๐Ÿ’พ Save Flow: Store your workflow for later use
  • ๐Ÿš€ Deploy Agent: Make your agent live and accessible
  • ๐Ÿ“ Generate Code: Export as Python/JavaScript code

What Happens When You Run:

โœ… Validation: Checks all connections and settings
โšก Execution: Components light up as data flows through
๐Ÿ“Š Results: Output displayed in real-time
๐ŸŽฏ Success: Green checkmarks show successful completion

Tip: Watch components glow with neural energy as your agent processes data

Popular Workflow Examples

๐Ÿง  Content Generator

Input Topic โ†’ GPT-5 Generate โ†’ Format Output โ†’ Save Content

Content Creation Automated Writing

๐Ÿ“Š Data Analyzer

Upload Data โ†’ Claude-4 Analysis โ†’ Gemini Visualization โ†’ Export Report

Data Science Business Intelligence

๐ŸŽจ Creative Assistant

User Input โ†’ GPT-5 Ideas โ†’ Gemini 3 Images โ†’ Combine & Present

Creative Design Visual Content

๐Ÿ” Research Agent

Query โ†’ Perplexity Search โ†’ Summarize โ†’ Generate Insights

Research Information Gathering

Pro Tips for Success

๐ŸŽฏ

Plan Your Flow

Start with the end goal and work backwards to create efficient workflows

โšก

Test Early & Often

Use the Run Flow button frequently to catch issues before deployment

๐Ÿ”ง

Optimize Settings

Fine-tune model parameters for better performance and cost efficiency

๐Ÿ’ก

Use Error Handling

Add fallback nodes to handle failures gracefully in production