Magic AI

Magic AI is a no-code AI chatbot and knowledge-hub platform that lets individuals, teams, website owners, educators, and researchers create custom AI chatbots using their own information. Users can upload documents, connect external knowledge sources, or provide website content, and Magic AI uses that information to create chatbots that can answer questions based on the supplied knowledge.

The platform is designed around a simple idea: organizations often have useful information spread across documents, websites, cloud storage, and other resources, but employees and customers may have difficulty finding the right information quickly. Magic AI brings those sources together and makes them accessible through natural-language conversations.

Users can create separate chatbot projects for different purposes and customize their behavior. Data sources can include PDF files, Word documents, Excel spreadsheets, PowerPoint presentations, Notion pages, Google Drive, Google Docs, Google Slides, web pages, Markdown files, and text content. The platform processes these sources and makes their information available to the corresponding chatbot.

Custom AI chatbots

A central feature of Magic AI is the ability to create custom chatbots without coding. A user can provide their own information and configure how the chatbot responds. This makes the platform suitable for organizations that want an AI assistant focused on their own documents, policies, product information, educational material, or website content rather than a completely general-purpose chatbot.

Magic AI’s API documentation describes projects as customizable chatbot environments with system prompts, welcome questions, public/private settings, and connected data sources. This allows different chatbot projects to serve different teams or purposes.

Website chatbots

Magic AI can turn website content into a knowledge-based chatbot. The platform can scrape a website, use its content as a knowledge source, and allow the resulting chatbot to be embedded into another website.

Website owners can use an embedded chatbot to answer common visitor questions, help users find information, and provide self-service support. Magic AI supports both bubble-style and inline chatbot embedding according to its published guidance.

This makes the platform particularly useful for businesses that want to add an AI-powered information or support layer without building a chatbot infrastructure from scratch.

Knowledge hub for teams

Magic AI can also function as an internal knowledge hub. Teams can centralize documents and other information, invite team members, and use AI chat to search and ask questions about the organization’s knowledge base.

The platform is designed to reduce repetitive questions and make internal information easier to access. Team members can work with shared chatbot projects and use the same underlying knowledge sources.

Education and academic research

Education is one of the specific use cases highlighted on Magic AI’s website. Educators and students can upload educational documents and use the chatbot to ask questions about the material.

The platform also specifically promotes academic research, where researchers can upload relevant research documents and use conversational queries to locate and understand information.

This approach can be useful when users need to interact with a large collection of documents rather than manually search through each file.

Retrieval-augmented generation

Magic AI describes its approach as using Retrieval-Augmented Generation (RAG) rather than training its underlying model on each customer’s data. According to its security page, customer data is used to retrieve relevant information for generating responses, while Magic AI says it does not use customer data to train its AI model.

This distinction is important because the platform is primarily a knowledge-grounding and chatbot layer rather than a service for training a new foundation model.

API

Magic AI provides a REST-based API that allows developers to create, manage, train, and use custom chatbots programmatically. The API uses API-key authentication and HTTPS.

The published API includes functionality for creating projects, retrieving and updating projects, managing data sources, sending chat messages, and retrieving chat sessions. Chat responses can also include source documents used to generate the answer.

This gives developers a way to integrate Magic AI chatbots into their own applications and workflows instead of relying only on the hosted Magic AI interface.

Collaboration

Magic AI supports team collaboration through shared organizations and team members. Its pricing structure also includes team-member allowances, making it possible for multiple people to work with the platform without requiring a separate chatbot deployment for every user.

The current pricing page lists up to 10 team members on Standard, 50 on Premium, 250 on Platinum, and unlimited team members on Enterprise.

Security and privacy

Magic AI states that customer data is encrypted and securely stored and that access is restricted to the customer and authorized team members. The company also states that it does not use customer data to train its AI model.

Its security documentation identifies Amazon Web Services, Pinecone, Stripe, Auth0, OpenAI, and Brevo as subprocessors or service providers used for infrastructure, vector storage, payments, authentication, AI services, and email. Magic AI states that its data is stored in AWS’s US East (N. Virginia) region.

Organizations should nevertheless review Magic AI’s current privacy, security, and contractual terms before using it for regulated or highly sensitive information.

Pricing

Magic AI has a free plan with no time limit and no credit card requirement. The current pricing page also lists four paid plans: Standard at $19/month, Premium at $49/month, Platinum at $149/month, and Enterprise at $449/month. Annual subscriptions receive two months free according to the pricing page.

The Standard plan includes 5 chatbot projects, 500 messages, up to 500,000 characters of uploaded content, 10 data sources, embedding across 3 websites, 10 team members, and API access.

Premium increases these limits to 20 chatbot projects, 5,000 messages, 1 million characters, 50 data sources, 20 websites, and 50 team members.

Platinum provides 50 chatbot projects, 15,000 messages, 5 million characters, 150 data sources, 30 websites, and 250 team members.

Enterprise provides 100 chatbot projects, 25,000 messages, 5 million characters, 500 data sources, embedding across 50 websites, unlimited team members, removal of the Magic AI logo, and API access.

Review

Magic AI is a practical choice for users who want to create custom knowledge-based chatbots without coding. Its strongest advantage is the simplicity of turning existing documents and website content into an interactive AI knowledge base.

The platform supports a useful range of information sources, including Google Drive, Notion, office documents, PDFs, spreadsheets, presentations, web pages, and Markdown. This gives teams considerable flexibility when building a chatbot around existing organizational knowledge.

Its website embedding capabilities also make it useful for customer-facing information and support. Instead of requiring users to search through a website manually, an embedded chatbot can answer questions using the site’s indexed content.

The REST API is another advantage for developers because it allows Magic AI projects and chatbot interactions to be incorporated into external applications. The API can also return source documents associated with chatbot responses, which can help users understand where an answer originated.

The main limitations are the platform’s relatively focused scope and usage limits. Magic AI is primarily a custom chatbot and knowledge-management platform, rather than a broad AI development environment. Paid plans also impose limits on chatbot projects, messages, data sources, character uploads, and website embeds.

The platform’s public documentation also appears relatively focused on its chatbot and API functionality, so organizations seeking extensive enterprise developer tooling may find larger AI platforms more comprehensive.

Magic AI is best suited to businesses, educators, researchers, website owners, and teams that want an accessible way to turn their existing information into custom AI chatbots and searchable knowledge bases.