Popular Lesson
Create a chatbot: Open a new Chatbase bot and start from a clean account.
Add data sources: Upload PDFs, docs, and text, paste content, add a website link, or pull from Notion.
Prepare files: Export materials from Google Drive as PDFs and load them into your bot.
Configure behavior: Choose a model like GPT-4 and write clear instructions that set tone and fallback rules.
Customize the chat: Edit the starting message, colors, and icon, and know which options require a paid plan.
Publish and embed: Make the bot public, copy the iframe code, and embed it in Framer, Wix, Squarespace, or WordPress.
This bonus lesson shows a practical way to put AI to work on your website. Using Chatbase, you will build a chatbot that answers questions using your own content. The bot reads from uploaded files or linked sources and uses those materials as its knowledge base when visitors ask questions. This is useful for handling customer service, presales questions, and basic onboarding without constant human involvement.
The lesson focuses on the essentials. You will see how to gather and upload files, review model options, and write simple instructions that guide the bot’s behavior. You will also preview design options for the chat interface and learn how to publish the bot and embed it on a page. The free plan is limited, but it is enough to understand the workflow. A paid plan gives more message credits and a much larger character limit, which is helpful when you need a sizable knowledge base.
This fits the boot camp by connecting earlier model discussions to a real deployment. If you already have a website and a set of FAQs, product docs, or help articles, you can make those materials instantly useful to visitors through an AI chat window.
If you have a website and want AI to handle repetitive questions, this lesson will help you ship something useful quickly. It supports both first-time builders and those ready to scale.
Use this lesson after you have content worth answering from, such as FAQs, product sheets, tutorials, or policy docs. Organize those files, export them as PDFs if they live in Google Drive, and upload them as your knowledge base. Then set the bot’s tone and fallback behavior so it answers from your materials and clearly declines when it lacks information.
Common applications include placing the bot on a pricing or features page to handle presales questions or embedding it on a support page to reduce ticket volume. Once the bot is live, check the activity logs to see real questions and spot content gaps. Update your files or instructions as needed, then republish.
Manual support and sales chats require constant monitoring and can repeat the same answers all day. With a Chatbase bot, you load your documents once, set clear behavior, and let the bot respond using that content. The default model option is GPT-4, which is a strong general choice, and you can test answers in the playground before embedding.
A practical difference shows up immediately on pages that get frequent questions. For example, a product page that triggers “What does this feature do?” can answer directly by referencing your uploaded PDFs. On a help page, the bot can field setup questions pulled from your how-to documents. The free plan gives you a feel for the flow. A paid plan adds more message credits and a much larger character limit, which supports bigger knowledge bases and more traffic. The result is faster responses, fewer repeated tickets, and consistent answers shaped by your own content.
Try a small, realistic build to see the end-to-end workflow.
Scenario: Pick one topic you already document, such as a product, class, or tool. Gather 3 to 4 files that explain the basics, FAQs, and key features. If the files live in Google Drive, export them as PDFs.
Steps:
Reflect: Which questions were answered well, and which exposed gaps in your documents or instructions?
This bonus lesson adds a practical deployment to the 14-Day AI Boot Camp. Earlier videos discussed model choices. Here you see how those choices show up in a real chatbot that runs on your own materials. The video walks through creating the bot, writing effective instructions, testing responses, and embedding it on a website. Use this to offload basic customer service and sales questions, then build on it by adding more documents and refining your instructions. Continue through the boot camp to round out your AI skill set and apply what you build to real projects.