Composing a Boutique Agent
A guide to building custom agents with our platform.
8 min read
Introduction
Building a Boutique agent means creating an AI assistant that's uniquely yours. This guide walks you through the process step by step, from selecting components to deploying a production-ready agent.
Step 1: Define Your Use Case
Start by clearly defining what your agent should accomplish:
- What tasks will it perform?
- Who will use it?
- What systems does it need to integrate with?
- What decisions require human approval?
Step 2: Choose Your Base Agent
Select a base agent that matches your use case. Our Boutique offers specialized agents for different domains:
- EU Funding Agent - for grant discovery and applications
- Portuguese Accounting Agent - for tax compliance
- Virtual Secretary - for email and calendar management
Step 3: Select Your LLM
Choose the language model that best fits your needs:
| Model | Best For | Considerations |
|---|---|---|
| Claude | Complex reasoning, long documents | Excellent for detailed analysis |
| GPT-4 | General tasks, code generation | Wide ecosystem support |
| Gemini | Multimodal tasks, Google integration | Large context window |
| Llama | Privacy-sensitive, on-premise | Self-hosted option |
Step 4: Build Your Knowledge Base
Upload documents and data that make your agent unique:
- Company policies and procedures
- Domain-specific documentation
- Historical data and examples
- FAQs and common responses
Step 5: Configure Thinking Strategy
Set up how your agent reasons through problems:
- Chain-of-thought prompting for complex decisions
- Step-by-step verification for accuracy
- Reflection patterns for self-correction
Step 6: Define Human-in-the-Loop Rules
Specify when your agent should pause for human approval:
- Before sending external communications
- Before making financial commitments
- When confidence is below threshold
- For any irreversible actions
Step 7: Test and Iterate
Before going live:
- Test with realistic scenarios
- Check edge cases and error handling
- Verify human-in-the-loop triggers work
- Review outputs for quality and accuracy
Step 8: Deploy
Launch your agent via:
- Web interface for direct interaction
- API integration with your systems
- Slack/Teams bot for team use
Ready to Build?
Join our waiting list to be among the first to compose your own Boutique agent.