Overview

Real-world examples and tutorials for building with BroxiAI

Explore practical examples and tutorials that demonstrate how to build powerful AI applications with BroxiAI.

Getting Started Examples

Basic Chatbot

Build your first conversational AI agent.

Components Used:

  • Chat Input

  • OpenAI Model

  • Chat Output

Use Case: Customer support, FAQ assistance, general conversation

View Tutorial →

Document Q&A System

Create a system that answers questions based on uploaded documents.

Components Used:

  • File Upload

  • Text Splitter

  • Embeddings

  • Vector Database

  • RAG Agent

Use Case: Internal knowledge base, document analysis, research assistance

View Tutorial →

Business Applications

Customer Support Agent

Intelligent customer service with knowledge base integration.

Features:

  • Multi-language support

  • Ticket routing

  • Knowledge base search

  • Escalation handling

Components:

  • Language Detection

  • Translation

  • RAG Agent

  • External API Integration

View Example →

Sales Assistant

AI-powered sales support with CRM integration.

Features:

  • Lead qualification

  • Product recommendations

  • Meeting scheduling

  • Follow-up automation

Integration:

  • Salesforce API

  • Calendar systems

  • Email automation

  • Analytics tracking

View Example →

Content Generation

Automated content creation and optimization.

Use Cases:

  • Blog post generation

  • Social media content

  • Product descriptions

  • Email campaigns

Components:

  • Content Planning Agent

  • SEO Optimization

  • Brand Voice Analysis

  • Multi-format Output

View Example →

Technical Examples

API Integration

Connect BroxiAI to external APIs and services.

Examples:

  • REST API calls

  • GraphQL queries

  • Authentication handling

  • Error management

View Tutorial →

Multi-Agent Workflows

Coordinate multiple AI agents for complex tasks.

Patterns:

  • Sequential processing

  • Parallel execution

  • Hierarchical coordination

  • Event-driven workflows

View Tutorial →

Real-time Processing

Build streaming and real-time AI applications.

Technologies:

  • WebSocket connections

  • Event streaming

  • Live data processing

  • Real-time analytics

View Tutorial →

Industry-Specific Examples

Healthcare

AI applications for healthcare and medical use cases.

Examples:

  • Patient intake automation

  • Medical document analysis

  • Symptom assessment

  • Appointment scheduling

Compliance: HIPAA-compliant workflows

View Examples →

Finance

Financial services and fintech applications.

Examples:

  • Investment advice

  • Risk assessment

  • Fraud detection

  • Regulatory compliance

Security: Enhanced security measures

View Examples →

Education

Educational technology and e-learning applications.

Examples:

  • Personalized tutoring

  • Assessment generation

  • Learning path optimization

  • Student support

View Examples →

E-commerce

Retail and e-commerce AI solutions.

Examples:

  • Product recommendations

  • Inventory management

  • Customer personalization

  • Order processing

View Examples →

Advanced Patterns

Custom Components

Build and integrate custom components.

Topics:

  • Component development

  • Custom tools creation

  • Third-party integrations

  • Performance optimization

View Guide →

Workflow Orchestration

Complex workflow patterns and orchestration.

Patterns:

  • Conditional branching

  • Loop structures

  • Error handling

  • State management

View Guide →

Data Processing

Advanced data processing and transformation.

Examples:

  • ETL pipelines

  • Data validation

  • Format conversion

  • Batch processing

View Guide →

Integration Examples

Platform Integrations

Connect with popular platforms and services.

Database Integrations

Work with various database systems.

Cloud Platform Examples

Deploy and integrate with cloud platforms.

Performance Examples

Optimization Techniques

Learn how to optimize your workflows for performance.

Topics:

  • Caching strategies

  • Parallel processing

  • Resource optimization

  • Cost reduction

View Guide →

Scaling Examples

Scale your applications for production use.

Topics:

  • Load balancing

  • Auto-scaling

  • Geographic distribution

  • High availability

View Guide →

Template Library

Starter Templates

Pre-built templates for common use cases.

  • Basic Chatbot Template

  • RAG System Template

  • API Integration Template

  • Multi-agent Template

Industry Templates

Specialized templates for specific industries.

  • Customer Service Template

  • E-commerce Assistant Template

  • Content Creation Template

  • Data Analysis Template

Code Examples

Python Integration

import requests
from broxi import BroxiClient

# Initialize client
client = BroxiClient(api_token="your_token")

# Run workflow
response = client.flows.run(
    flow_id="customer_support_bot",
    input="I need help with my order",
    variables={"customer_id": "12345"}
)

print(response.output)

JavaScript Integration

import { BroxiClient } from '@broxi/sdk';

const client = new BroxiClient({
  apiToken: process.env.BROXI_API_TOKEN
});

async function handleUserMessage(message, userId) {
  const response = await client.flows.run({
    flowId: 'support-agent',
    input: message,
    variables: { userId }
  });
  
  return response.output;
}

cURL Examples

# Basic workflow execution
curl -X POST "https://api.broxi.ai/v1/flows/flow_id/run" \
  -H "Authorization: Bearer $BROXI_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"input": "Hello, world!"}'

Community Examples

User Contributions

Examples shared by the BroxiAI community.

Contribution Guidelines

Learn how to contribute your own examples.

Getting Help

Need help with examples or have questions?

  • Community Forums: Ask questions and share examples

  • Discord Channel: Real-time community support

  • Office Hours: Weekly community calls

  • Documentation: Comprehensive guides and references

Next Steps

Ready to build your own application?

  1. Choose an Example: Start with a relevant use case

  2. Follow the Tutorial: Step-by-step implementation

  3. Customize and Extend: Adapt to your specific needs

  4. Deploy to Production: Scale and optimize for users

  5. Share Your Experience: Contribute back to the community


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