Learn how to design intelligent agents that think, respond, and take action—just like a real teammate.
These tutorials are all about creating, customizing, and scaling AI agents inside AgenticFlow. Whether you’re building a single-task assistant or chaining multiple agents together, this series helps you master prompt writing, role-based behavior, and advanced AI logic.
What You’ll Learn:
- How to create your first AI agent using structured prompts
- Customize tone, role, and response format
- Add dynamic variables and user input into agent prompts
- Use system prompts to define how the agent behaves
- Chain multiple agents to create multi-step reasoning workflows
- Optimize for clarity, reliability, and consistency
Topics Covered:
- Role-based agent design (e.g., support agent, recruiter, editor)
- Best practices for prompt formatting and token efficiency
- Using agents with built-in knowledge or custom context
- Testing and debugging agent output
- Scaling agent behavior across different workflows
Pro Tip: Combine with “Add Knowledge” and “Edit Agent Prompts” to build deeply personalized agents that mirror real-world job roles.
Includes Templates & Prompt Examples
Each tutorial comes with editable agent templates and prompt blueprints you can copy, test, and adapt to your own use case.
05. Creating AI Agents with AgenticFlow 
06. Creating Your AI Agent from Scratch
