CypherScribe is a no-code platform that converts your data into a fully functional, interactive documentation web app in just 18 seconds. It simplifies the process with a few easy steps: connect your data source, customize the app with your branding, and claim your subdomain. The platform supports rich documentation components, such as headers, tables, media, code snippets, and more, ensuring your documents are both comprehensive and easy to navigate. Additionally, built-in AI assistance and robust search functionality enhance user experience, making your documentation easily accessible.

DocChat-Docling is an AI document chatbot framework that transforms static documents into an interactive knowledge base. By ingesting PDFs, text files, and other formats, it indexes content with vector embeddings and enables natural language Q&A. Users can ask follow-up questions, and the agent retains context for accurate dialogue. Built on Python and leading LLM APIs, it offers scalable document processing, customizable pipelines, and easy integration, empowering teams to self-serve information without manual searches or complex queries.

PortableDocs is an innovative platform that allows users to interact with their PDF documents through AI-powered conversational tools. By uploading PDFs, the system processes the content and offers instant access to key insights and information. Whether you need to navigate through complex technical manuals, legal documents, or academic papers, PortableDocs streamlines the process, saving users valuable time and effort.

TogetherForm is an innovative platform that transforms traditional HTML forms into real-time collaborative documents, making each form field interactive much like Google Docs. This allows multiple users to edit and update form fields simultaneously, providing a smooth and efficient workflow for teams. With its unique approach, TogetherForm is designed to enhance productivity and streamline processes, making it an ideal solution for businesses seeking to improve their form-based interactions.

This starter project provides a ready-to-use FastAPI application preconfigured for AI agent development. It uses Pydantic for request/response validation, environment-based configuration for OpenAI API keys, and modular endpoint scaffolding. Built-in features include Swagger UI docs, CORS handling, and structured logging, enabling teams to rapidly prototype and deploy AI-driven endpoints without boilerplate overhead. Developers simply define Pydantic models and agent functions to get a production-ready API server.