Examples & Use Cases
Discover how Reactive Agents can help improve your AI agents and LLM performance across different scenarios and applications
Overview
Reactive Agents provides comprehensive AI agent optimization across various industries and use cases. Here are real-world examples of how organizations use Reactive Agents to improve their AI systems.
Get Started
Quick Examples
Customer Support Automation
Agent: customer-support, Skill: email-processing, Evaluation: Task Completion, Turn Relevancy, Role Adherence
Content Generation
Agent: content-creator, Skill: blog-writing, Evaluation: Argument Correctness, Knowledge Retention, Conversation Completeness
Data Analysis
Agent: data-analyst, Skill: data-analysis, Evaluation: Task Completion, Argument Correctness, Knowledge Retention
E-commerce Chatbot
Agent: ecommerce-bot, Skill: product-recommendations, Evaluation: Tool Correctness, Turn Relevancy, Role Adherence
Healthcare Assistant
Agent: healthcare-assistant, Skill: symptom-analysis, Evaluation: Task Completion, Argument Correctness, Role Adherence
📋 Available Evaluation Methods: See the evaluation methods documentation for a complete list of available evaluation types.