Platform Administration

Fetch Documents & Generate New Ones with AI

Build a complete AI-powered document processing system that fetches external documents, loads them into a private knowledge base, and uses AI to generate new documents based on the ingested content. In this use case, you will learn how to: • Connect KoolBox to external data sources and automatically ingest documents • Configure a knowledge base with proper chunking and indexing for optimal retrieval • Set up an AI assistant that can answer questions about your documents • Use AI to generate new reports, summaries, and documents based on your knowledge base • Automate the end-to-end pipeline from document ingestion to AI-generated output This is ideal for organizations that need to process large volumes of documents (PDFs, reports, policies) and produce new content — such as compliance reports, executive summaries, or policy documents — informed by their existing document library.

6 guides

Customer Support Bot

Set up an AI-powered customer support chatbot backed by your product documentation and FAQs. Your customers get instant, accurate answers 24/7 without waiting for a human agent. In this use case, you will learn how to: • Upload and organize your product documentation, FAQs, and support articles into KoolBox • Configure the knowledge base for fast and accurate retrieval of relevant answers • Deploy a chatbot interface that customers can interact with on your website or app • Fine-tune response tone and accuracy to match your brand voice • Monitor conversations and improve the knowledge base over time This is ideal for SaaS companies, e-commerce platforms, and any business that wants to reduce support ticket volume while providing faster, more consistent customer experiences.

5 guides

AI Research Assistant

Build an AI-powered research assistant that generates comprehensive reports on any topic. Uses local AI models for most work and only calls external APIs (Claude) when necessary — minimizing costs while maintaining quality. In this use case, you will learn how to: • Connect KoolBox to the Anthropic Claude API for intelligent research planning • Build a workflow that iterates through report sections using local AI with automatic Claude fallback • Create a RAG pipeline that gives your AI Agent access to the workflow as a callable tool • Deploy a chat-based research assistant that handles end-to-end report generation • Achieve 95%+ cost reduction compared to running everything on external APIs This is ideal for organizations that need frequent research reports, market analyses, or technical summaries — without the recurring cost of external AI APIs for every section.

6 guides