🤖 This video showcases the process of building an AI chatbot for a client in real-time, worth $3,500, demonstrating how Bot Press and Stack AI work together.
💼 The chatbot was designed to be placed on various sites of a martial arts SAS platform, collecting user information and guiding them towards the right products and services.
📊 The chatbot also includes lead capture functionality, enriching the captured leads with collected data and sending it to a Google sheet for email marketing.
🧠 The key AI functionality of the chatbot is the ability to ask questions to a knowledge base, providing answers based on the ingested data in Stack AI and Bot Press.
🛠️ The tech stack used for this application includes Bot Press as the base for handling logic and deployment.
🤖 The video is about building an AI chatbot using Bot Press and Stack Ai.
💡 The video demonstrates how to create the bot press application from scratch and connect it to Stack Ai.
👥 The tutorial covers various functionalities, including API calls, custom code blocks, routing, and lead capture.
📚 Understanding the logic behind transitions in building an AI chatbot.
💻 Using custom code blocks to access and manipulate variables in the chatbot.
🔧 Creating personalized messages based on user input in the chatbot.
🥋 Karate is recommended as one of the best martial arts for self-defense.
📝 A personalized message and user information are captured using switch cases and choice blocks.
💡 The chatbot utilizes a knowledge query function with a fallback system to provide accurate answers.
🤖 The video demonstrates the process of building a $3,500 AI chatbot.
💡 The chatbot queries a knowledge base for answers, and if there's no response, it routes to a stack AI query.
🔄 The chatbot can engage in an infinite loop of answering user questions until the user indicates they have no further inquiries.
🤖 Using a language model like GPT 3.5 turbo, we can create a personalized response to user queries in an AI chatbot.
🔑 Stack AI's query feature provides the advantage of customized answers based on user questions over the native bot press.
✉️ The chatbot can capture leads by collecting email addresses and names, and sending them to a Google sheet through Zapier integration.
The video is about building an AI chatbot for a client.
The chatbot is designed to provide personalized information and assistance to customers.
The chatbot integration includes lead capture and seamless handover to the client.
The video demonstrates how to add a customizable UI to a client's website using bot press.
Different deployment options can be explored to provide additional services and generate more revenue.
The speaker encourages viewers to join the community Discord for workshops, Q&A sessions, and valuable resources for starting an AI automation agency.
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