This video introduces the AI Hub's new features, including AI agents, functions, tasks, and prompts. It demonstrates how to build an AI agent, create functions for tasks like fetching time and booking appointments, and use AI tasks for follow-up messages to re-engage users. The video also showcases how these features work seamlessly within a flow builder to handle conversations and scheduling efficiently.

The video explains how to create and activate AI agents within a chatbot platform, focusing on an appointment booking agent. It covers setting up the agent, configuring AI models and parameters, generating prompts, defining skills and constraints, and integrating the agent into a flow with options for secondary agents and timeout settings.

The video explains how to set up and enhance an AI appointment booking agent by adding functions to capture user details, fetch available time slots, and book appointments. It covers creating function prompts, handling user input, validating data, integrating workflows, and activating these functions within the AI agent for seamless scheduling.

The video explains how to enhance an AI agent's capabilities by creating AI tasks through the AI Hub. Specifically, it demonstrates setting up an AI task to generate engaging follow-up messages based on chat history when a user becomes inactive. The process involves analyzing the conversation, dynamically creating follow-up messages, and integrating them into the chat flow to maintain user engagement.

The video explains how to troubleshoot an AI agent by checking the AI messages system field and the live chat. It details how to monitor conversation flow, function calls, and custom field updates to identify issues in the AI's responses or workflows.

In this video, Mat from UChat demonstrates how to build an AI agent that uploads, processes, and extracts information from driver license images. Learn how to save image URLs, read data from images, and extend this setup to other file types.

This video demonstrates how to use AI tasks within a platform to generate personalized and engaging email content for marketing campaigns. It explains how to set up AI prompts, customize email subjects and bodies, and automate follow-up emails, making email marketing more efficient and creative.

The video explains the new feature enabling AI agents to understand images using a vision model. It demonstrates how to upload images, such as receipts or IDs, and ask the AI questions like identifying the image's title or describing its content. The feature enhances the AI's ability to process visual information and assist users more effectively.

The video introduces a new feature called Auto suggestion within the AI agent, available only for the webchat channel. This feature provides quick follow-up questions as suggestions after a user asks a question, enhancing user experience by allowing users to select relevant follow-ups instead of typing them out. The feature can be configured to base suggestions solely on the user's question or include additional business information for more accurate follow-ups.

This update introduces a new option in the AI agent to wait for a specified number of seconds, allowing users to input multiple responses before the AI provides a single, consolidated reply. This enhances user experience by enabling more natural and flexible interactions.

This update introduces the Advanced Mode feature, allowing users to better manage and customize AI agent responses through workflows, including formatting, adding media, and splitting responses for improved readability.

This video explains two methods to stop an AI agent from replying during or at the end of a conversation. It covers using the "Stop AI Agent" action in advanced mode flows and within AI function flows, allowing you to redirect users to different flows without further AI responses.

This video demonstrates how to improve user experience by splitting long AI agent replies into multiple paragraphs. It guides you through setting up AI tasks, using JSON operations, and applying conditions to format responses more naturally within a chat conversation.

This video explains the recent updates to the custom input feature in the AI agent node, including how to set custom variables for text, image, and audio inputs, and how to manage session control with advanced mode to improve user input handling and resolve previous issues.

This video showcases the new MCP server feature in the AI Hub, allowing users to easily connect and interact with third-party platforms like Shopify without complex API setups. It demonstrates how to set up an MCP server, connect it to a Shopify store, and use it within a flow builder to perform conversational queries and retrieve product information efficiently.

Learn how to set up a sophisticated AI web shop assistant for Shopify that handles product browsing, cart management, and customer inquiries. This course guides you through creating stable, efficient workflows and templates to enhance your online store’s shopping experience with AI-driven features.

Learn how to leverage AI tasks to efficiently monitor and categorize user progression through different stages in your chatbot, enabling timely follow-ups and improved user engagement.

Learn how to use AI tasks and time-based triggers to automatically analyze chat conversations, identify potential leads, and notify your team for follow-up. This step-by-step guide helps you never miss valuable opportunities in your chatbot interactions.

This video provides an update on AI functions, explaining how to trigger different flows after stopping an AI agent within a workflow. It introduces a new feature that allows users to continue to other parts of a chatbot or workflow directly from an AI function, simplifying the process and enabling multiple AI functions to guide users to various sections without relying solely on automation triggers.

This video demonstrates how to combine AI tasks, array creation, looping workflows, and scheduling messages to automate reminder systems. It guides users through creating AI-generated reminder messages for a coaching session, dynamically generating multiple messages at scheduled times, and managing these scheduled messages within a workflow.

This video explains the new feature for auto transcribing audio files in a chat system. It shows how to activate the feature in the settings, connect your OpenAI account, and use it with AI agents or manual flows. The transcription converts audio messages into text, allowing for automated responses and more interactive conversations.

The video demonstrates how to set up and test an AI booking agent, showing the process of capturing user details, fetching available time slots, selecting a date and time, and confirming the appointment. It highlights the simplicity of creating such an AI agent within an hour and explains the workflow for successful bookings.