Best Practices

Expert tips and strategies for maximizing the value and effectiveness of your agents.

Effective Communication

Be Specific and Clear

Vague questions lead to vague answers. Instead of asking general questions, provide specific details about your situation.

❌ Avoid: "How do I code?"

✓ Try: "How do I create a REST API in Python using Flask? I need endpoints for CRUD operations."

Provide Context

Give agents relevant background information. This helps them understand your situation and provide more appropriate responses.

✓ "I'm developing an ecommerce platform for fashion items. We expect 10,000 daily users. What database should I choose?"

Ask Follow-Up Questions

If a response isn't quite right, ask the agent to clarify, expand, or approach the topic differently. The conversation context helps refine answers.

✓ "That's helpful! Can you explain that more simply for a beginner?" or "Can you provide code examples?"

Use Precise Language

While agents understand casual language, using precise terminology helps get better results. Use domain-specific terms when appropriate.

Optimizing Configuration

Match Tone to Your Use Case

Select response tone based on your needs:

Professional - Business communications, formal documentation
Casual - Learning, exploration, creative tasks
Technical - Deep technical discussions, specifications
Balanced - General purpose, most situations

Adjust Response Length Strategically

Use brief responses for quick facts, standard for most situations, and detailed/comprehensive for learning or complex topics.

Experiment with Creativity Level

For brainstorming and ideation, increase creativity. For factual accuracy, use conservative. Start conservative and increase as needed.

Save Preset Configurations

If you frequently use the same settings, create named presets. Access them quickly without reconfiguring each time.

Leveraging Agent Specialization

Choose the Right Agent

Match agents to their specialization:

Einstein for science, math, research questions
Tech Wizard for programming, tech support, debugging
Travel Buddy for travel planning, destination research
Chef Biew for recipes, cooking techniques, meal planning
Fitness Guru for workouts, nutrition, fitness advice

Combine Multiple Agents

Don't limit yourself to one agent. For complex projects, consult multiple agents for different aspects. For example, ask Tech Wizard about architecture, then Einstein about the mathematics involved.

Use Agent Domain Focus

Set domain focus within specialized agents to narrow expertise. For Tech Wizard, focus on your programming language. For Travel Buddy, focus on your destination region.

Conversation Management

Start Fresh When Needed

If your conversation topic shifts significantly, consider starting a new conversation. This keeps context clean and improves response quality.

Save Important Responses

Bookmark or copy important responses for future reference. Create a knowledge base of useful agent responses.

Review and Validate

While agents are highly capable, always review responses critically, especially for important decisions. Cross-reference facts and test code suggestions before using in production.

Provide Feedback

Use the feedback system to rate responses. This helps improve overall agent quality and personalization for your needs.

Advanced Techniques

Iterative Refinement

Get an initial response, then iteratively refine by asking follow-ups: "Make it more concise," "Add more examples," "Explain for a child," etc. This builds exactly what you need.

Role-Based Prompting

Ask agents to adopt a specific role: "As a senior architect, how would you design this system?" This often produces more targeted, expert-level responses.

Structured Requests

Break complex requests into structured steps. Example: "First, explain the concepts. Then provide a concrete example. Finally, list best practices."

Comparison Prompts

Ask agents to compare options: "Compare these three approaches in terms of performance, maintainability, and learning curve." This produces comprehensive analysis.

Scenario-Based Queries

Present specific scenarios for tailored advice. Example: "I have 3 hours to learn React basics before a job interview. What should I focus on?"

Common Mistakes to Avoid

✗

Asking too general or vague questions

Specific questions get specific answers. Vague questions get vague responses.

✗

Ignoring context and conversation flow

Agents work best with context. Provide relevant background in your questions.

✗

Using wrong agent for the task

Choose agents based on their specialization. Tech Wizard won't help with recipes.

✗

Not reviewing responses critically

Always verify important information, especially for decisions or production code.

✗

Never adjusting configuration

Experiment with settings to find what works best for your use case.

Use Case Examples

📚 Learning & Education

Set to detailed response length and balanced tone. Ask questions progressively, building knowledge. Request examples frequently. Save responses for review.

💼 Professional Work

Use professional tone with standard response length. Set citations on. Combine multiple agents for complex projects. Archive important conversations.

🚀 Brainstorming & Ideation

Set creativity to high. Use casual tone. Ask comparison questions and role-based prompts. Iterate on ideas to refine them.

🔧 Problem-Solving

Provide detailed context about the problem. Ask step-by-step solutions. Use the Troubleshooting guide for technical issues. Test recommendations before implementation.

Key Takeaways

→Be specific and provide context for better responses

→Choose the right agent for your task's domain

→Configure agents for your specific use case

→Use iterative refinement to get exactly what you need

→Always review and validate important responses

→Combine multiple agents for complex projects