Build
Learn to build with Axellero through hands-on tutorials covering AgentFlows, Workflows, and Database integration.
Build with Axellero
Develop applications using Axellero platform through structured, project-based tutorials. Each tutorial follows a Connect β Build β Test β Deploy methodology covering platform concepts through practical implementation.
Tutorials are organized by complexity level: π’ Beginner (30-90 minutes), π‘ Intermediate (2-3 hours), and π΄ Advanced (3+ hours). Each focuses on specific platform components like AgentFlow, Workflows, or Database integration.
Available Tutorials
π’ Documentation Agent
Beginner β’ 30-60 minutes β’ AgentFlow + Knowledge Base
Build an intelligent AI agent that answers questions about Axellero documentation using RAG and LLM connections.
π’ Customer Support Bot
Beginner β’ 1.5 hours β’ AgentFlow + Backbase
*Create a FAQ chatbot with ticket creation capabilities and backbase (database) integration for customer data.
π΄ Content Moderator
Advanced β’ 3 hours β’ Multi-Agent + Workflows + Guardrails
Coming Soon - Build a comprehensive content moderation system with multi-agent orchestration and guardrail implementation.
π΄ Data Processing Pipeline
Advanced β’ 2.5 hours β’ Workflows + Database + APIs
Coming Soon - Create an intelligent ETL pipeline with workflow-based data transformation and external API integration.
Tutorial Structure
Each tutorial follows a proven Connect β Build β Test β Deploy methodology:
- Connect - Set up external integrations, LLM providers, and data sources
- Build - Create functionality using visual, node-based design tools
- Test - Validate behavior with chat interface and debugging tools
- Deploy - Publish to production with HTTP endpoints and monitoring
Learning Paths
New to Axellero? Follow this path:
- Platform Overview - Core concepts
- Documentation Agent - Complete tutorial
- AI Agentflows - AI agents concepts
- Workflows - Automation patterns
Building production apps? Try this sequence:
- Documentation Agent - Complete tutorial
- Customer Support Bot - Database integration (Coming Soon)
- Axellero Studio - Development environment
- Connect Integrations - External systems (Coming Soon)
Complex enterprise use cases:
- Content Moderator - Multi-agent systems (Coming Soon)
- Data Pipeline - Advanced workflows (Coming Soon)
- Integration Patterns - Enterprise connectivity (Coming Soon)
- Operations - Monitoring and scaling (Coming Soon)
What You'll Learn
| Category | Skills & Concepts | Applications |
|---|---|---|
| Core Platform | Visual design, integration patterns, testing strategies, production deployment | Foundation skills for all Axellero development |
| AI Agent Development | LLM integration, tool development, knowledge base setup, multi-agent patterns | Building intelligent conversational agents |
| Workflow Automation | Visual process design, trigger configuration, error handling, database integration | Creating automated business processes |
| Database Integration | Schema design, data validation, performance optimization, backup strategies | Managing application data and relationships |
Platform Components Reference
Quick access to detailed component documentation:
Documentation Agent Tutorial
Complete step-by-step tutorial for building AI agents
AI Agentflows
Understand AI agents, concepts, and implementation patterns
Axellero Studio
Development environment and visual builders
Connect & Integrate
External systems, APIs, databases, and integrations
Getting Help
Documentation Resources
- Core Concepts - Understand platform fundamentals
- Studio Reference - Complete interface guide
- Component Guides - AgentFlow, Workflow, and Database references
Community Support
- Tutorial feedback and improvement suggestions
- Community forums for questions and discussions
- Example projects and code sharing
- Best practices and implementation patterns
Next Steps
Ready to start building? We recommend:
- New users: Begin with Documentation Agent Tutorial
- Experienced developers: Choose any tutorial matching your use case
- Enterprise teams: Plan a learning path based on your application requirements
For conceptual foundation, start with AI Agents Overview to understand the platform's core capabilities and design philosophy.