This tutorial offers a comprehensive tutorial on how to use the Relevance AI platform to build and deploy custom AI agents and automated workflows without needing any coding skills.

This guides viewers through the entire process, demonstrating how non-technical users can leverage the platform's features to create AI solutions for specific business tasks, such as content creation.

Key Learning Outcomes

• Understanding Relevance AI: Learn about the platform's no-code approach to building powerful AI agents and automating complex tasks.

• AI Agent Creation: Step-by-step guidance on initiating the creation of a new AI agent using the "Build with Invent" feature.

• Prompt Engineering for Agents: Discover how to provide specific and detailed instructions to the platform to generate an effective initial draft of the AI agent's prompt, including its role, objective, and instructions.

• Defining Agent Instructions & Content: Learn to refine the agent's instructions, ensuring the content it generates (e.g., social media posts for a construction company in Myanmar) is educational and engaging.

• Integrating Tools and Knowledge: Understand the importance of adding tools (like Google Search for up-to-date trends) and knowledge (e.g., construction engineering information via Google Drive, Notion, or websites) to enhance the agent's capability and output quality.

• Testing and Optimization: Learn how to run and test the newly created AI agent to verify its performance and make necessary adjustments to the prompt, tools, and knowledge base.