NEW WAY to Build AI Agents FAST!! | Strict JSON Schema Tutorial

Learn the fastest and easiest way to build dynamic AI agents without using a flow builder by heading to chatbotbuilder.ai and creating a new account.

Navigate to settings, integrations, and open AI chat GPT to edit the system prompt text area, remove the placeholder text, and use quick replies to guide the conversation in all languages.

Learn how to structure responses in a single JSON format, ensuring that the response text matches the payload for effective communication with users.

Set the language for the user to match the strict JSON output format in the system prompt, and click continue to proceed to testing the welcome message.

Test quick replies functionality by inputting responses and verifying the conversation guidance with the desired outcome, ensuring smooth user interactions.

Take prompt customization to the next level by using cards and placeholders, incorporating examples, and exploring various prompts for a more interactive experience.

Integrate Google Sheets for data storage, manage menu items, and streamline the process of setting up flows for a seamless conversational journey.

Utilize system prompts effectively with Open AI chat GPT to enhance interaction capabilities, incorporate actions, and leverage JSON structures for dynamic responses.

Explore the process of creating tags for customers, tagging bad customer interactions, and utilizing automations to manage customer interactions efficiently.

Test the tag implementation to identify customer types, ensure tag visibility, and validate the AI's ability to detect and respond to different customer scenarios.

Customize customer interactions based on tags, demonstrate response variations, test conversation flows, and evaluate the AI's ability to handle different customer types.

Integrate and configure MCP server for advanced modeling, create custom prompts, connect to the MCP server, and utilize more powerful models for enhanced interactions.

Implement the Reebok model in the MCP server, set up prompts, follow agent instructions, connect to the server, and visualize responses with carousels and outros for a dynamic user experience.