Build AI Agents That Think and Act
Create intelligent autonomous assistants that can reason, use tools, and accomplish complex tasks
AI agents go beyond simple chat interactions. They can analyze complex scenarios, break down multi-step tasks, use external tools, and work autonomously to achieve goals - all while maintaining context and learning from your organization's knowledge.
Video Tutorial
What Makes Agents Different
Understanding the key differences between traditional chat and agentic AI helps you choose the right approach for your use case.
| Capability | Chat Interface | AI Agent |
|---|---|---|
| Response Type | Single response | ✓ Multi-step reasoning |
| Tool Usage | Limited or none | ✓ Full tool ecosystem |
| Task Planning | Basic understanding | ✓ Complex task breakdown |
| Memory | Conversation only | ✓ Knowledge base access |
| Actions | Text responses | ✓ External system integration |
| Autonomy | Reactive | ✓ Proactive problem solving |
Execution Modes
Choose the right execution mode based on task complexity and response time requirements.
Standard Mode
Fast & Efficient
Optimized for quick responses and straightforward tasks. Best for customer support, basic queries, and simple tool usage.
- Sub-second response times
- Lower computational cost
- Single-step reasoning
- Perfect for high-volume use
Super Mode
Deep Reasoning
Advanced cognitive capabilities for complex problem-solving, multi-step analysis, and sophisticated task planning.
- Multi-step reasoning chains
- Complex task decomposition
- Advanced tool orchestration
- Self-correction capabilities
Creating an Agent
Follow these steps to build your first AI agent.
- Define Agent Purpose Clearly outline what tasks your agent will handle and its primary objectives.
- Choose Execution Mode Select Standard for quick responses or Super for complex reasoning tasks.
- Select LLM Model Pick from Claude 3.5 Sonnet, GPT-4, or other available models based on your needs.
- Configure System Prompt Write detailed instructions that define the agent's personality, behavior, and expertise.
- Add Knowledge Base Connect relevant documents and data sources for context-aware responses.
- Enable Tools Grant access to web search, file operations, API integrations, and custom MCP servers.
- Set Temperature Adjust creativity level from 0 (precise) to 1 (creative) based on use case.
- Test & Deploy Validate agent responses and deploy for use in workflows, widgets, or direct access.
System Prompt Templates
Well-crafted system prompts are crucial for agent performance. Here's a customer support agent example:
You are a helpful customer support agent for TechCorp, a software company.
Your role:
- Provide accurate, friendly assistance to customers
- Use the knowledge base to find relevant information
- Create support tickets for complex issues
- Always maintain a professional, empathetic tone
Guidelines:
- Greet customers warmly and ask how you can help
- Search the knowledge base before answering questions
- If you cannot find information, create a support ticket
- Provide step-by-step instructions when helping with technical issues
- Always ask if there's anything else you can help with
Available tools:
- search_knowledge_base: Search company documentation
- create_support_ticket: Create tickets for unresolved issues
- send_email: Send follow-up emails to customers
Remember: Your goal is to resolve customer issues quickly and effectively while maintaining a positive experience.
Include specific examples of how to handle edge cases and define clear boundaries for what the agent should and shouldn't do.
Agent Templates
Start with these proven agent configurations for common business scenarios.
Support Agent
24/7 customer support with knowledge base integration, ticket creation, and escalation workflows.
Data Analyst
Query databases, generate reports, and provide insights from your business data with natural language.
Research Agent
Comprehensive research with web search, document analysis, and structured report generation.
Web Automation
Automate web interactions, form filling, and data extraction with browser control tools.
Model Selection Guide
Choose the right LLM model based on your specific requirements and budget.
| Model | Best For | Cost | Speed | Reasoning |
|---|---|---|---|---|
| Claude 3.5 Sonnet | General purpose, coding, analysis | Medium | Fast | Excellent |
| Claude 3 Haiku | High-volume, quick responses | Low | Very Fast | Good |
| GPT-4 Turbo | Complex reasoning, creativity | High | Medium | Excellent |
| GPT-3.5 Turbo | Cost-effective, simple tasks | Low | Fast | Good |
| Local Models | Privacy, offline, custom | Variable | Variable | Variable |
Temperature Guide
Temperature controls the randomness and creativity of AI responses. Choose the right setting for your use case.
Low (0.0 - 0.3)
Precise & Consistent
Use for factual responses, data analysis, customer support, and tasks requiring accuracy and consistency.
Medium (0.4 - 0.7)
Balanced
Ideal for general conversation, content creation, and tasks that benefit from some creativity while maintaining coherence.
High (0.8 - 1.0)
Creative & Varied
Best for creative writing, brainstorming, marketing content, and scenarios where diverse responses are valuable.
Higher temperatures increase response variability but may reduce factual accuracy. Always test your agent's performance at different temperature settings.
Troubleshooting
Common issues and solutions when working with AI agents.
Cause: Temperature too high or vague system prompt
Solution: Lower temperature to 0.1-0.3 and provide more specific instructions in system prompt
Cause: Tools not mentioned in system prompt or unclear tool descriptions
Solution: Explicitly list available tools in system prompt and provide clear usage examples
Cause: Super Mode enabled for simple tasks or complex knowledge base
Solution: Switch to Standard Mode for simple tasks or optimize knowledge base size
Cause: Knowledge base not properly connected or poor document quality
Solution: Verify knowledge base connection and ensure documents are well-formatted with clear structure
Ready to Build Your First Agent?
Create intelligent AI agents that can handle complex tasks and integrate with your business systems.