Axellero Studio

Axellero Studio is a comprehensive platform for building, integrating, and managing AI-powered workflows and applications. This reference documentation covers all Studio features and capabilities.

What is Axellero Studio?

Axellero Studio is a comprehensive platform that enables you to:

Capability	Description	Key Benefits
AI Agents	Design and deploy intelligent conversational agents	Natural language interaction, context awareness, automated responses
Workflows	Create automated processes using visual workflow builder	Process automation, data transformation, system integration
Integrations	Connect to databases, APIs, and external services	Unified data access, seamless connectivity, real-time sync
Project Organization	Structure work using organizations, workspaces, and applications	Team collaboration, access control, scalable architecture

Core Concepts

Platform Hierarchy

Studio uses a three-level hierarchy to organize your work:

Organization
└── Workspace
    └── Application

Organizations: Top-level containers for teams or companies
Workspaces: Project-level containers within organizations
Applications: Individual Studio projects containing AI agents, workflows, integrations, and database entities

Main Features

Feature	Purpose	Key Capabilities
AI AgentFlow Builder	Design conversational AI agents	Natural language understanding, context management, conversation flows
Workflow Builder	Visual canvas for creating automated processes	Drag-and-drop nodes, data transformation, conditional logic, loops
Integration Hub	Connect to external systems	Database connectors, API integrations, MCP server connections
Database Management	Handle data schemas and content	Schema design, data editing, query builder, relationship management
Settings	Configure authentication, permissions, and system settings	User management, API tokens, authentication providers, security controls

Foundation & Setup

Organizations & Workspaces

Platform hierarchy and structure management

Integration & Connectivity

Integration Overview

Connect to external systems and services

Connectors

Database, API, and service connectors

MCP Servers

Model Context Protocol server integrations

Building & Development

AI AgentFlow Builder

Create and configure AI agents

Workflow Builder

Build and manage automated workflows

Database

Manage data schemas and content

Configuration & Management

Settings

Configure and administer your Studio environment

Interface Overview

Studio's interface provides a comprehensive development environment:

Component	Function	Usage
Navigation Sidebar	Access all major features	Dashboard, AI Agents, Workflows, Database, Integrations, Settings
Main Canvas	Work area for building	Visual workflow design, agent conversation flows, data relationships
Properties Panel	Configure selected components	Node settings, agent parameters, connection details, validation rules
Toolbar	Common actions and tools	Save/load, run/debug, copy/paste, undo/redo, zoom controls
Context Panel	Workflow data and variables	View execution context, debug values, test inputs/outputs

Getting Started

First Steps

Understand Organizations & Workspaces - Learn the platform structure
Set up Integrations - Connect to your data sources
Create Your First AI Agent - Build an intelligent conversational agent
Build Your First Workflow - Create an automated process
Configure Settings - Set up authentication and permissions

Next Steps

Once you're familiar with the basics, explore:

Common Use Cases

Use Case	AI Agent Application	Workflow Application	Integration Requirements
Customer Support	FAQ automation, ticket routing, response generation	Ticket escalation, notification workflows	CRM, email systems, knowledge bases
Data Processing	Data validation, content generation, analysis	ETL pipelines, data transformation, scheduling	Databases, APIs, file storage
Business Automation	Approval processes, status updates, notifications	Multi-step workflows, conditional routing	ERP, messaging, document systems
Content Management	Content review, categorization, summarization	Publishing workflows, approval chains	CMS, storage, notification systems
Sales & Marketing	Lead qualification, customer interaction, follow-ups	Lead routing, campaign automation	CRM, email marketing, analytics

Architecture Patterns

Pattern	Description	When to Use
Agent-First	AI agent handles primary interaction, workflows for background tasks	Customer-facing applications, interactive systems
Workflow-First	Workflows handle data processing, agents for specific decision points	Data processing, automation systems
Hybrid	Agents and workflows work together in complex orchestration	Enterprise applications, multi-step processes