Available tutorials
Mortgage advisor chatbot
Build a conversational AI mortgage advisor that collects client data, evaluates eligibility across multiple banks, and generates personalized product recommendations.You will learn: intent routing, knowledge base RAG, hybrid AI + business rules, session management, chat UI integration
Document processing pipeline
Build an AI-powered document verification pipeline that classifies uploaded documents, extracts structured data, and reconciles it against application data.You will learn: fan-out extraction, document classification, AI reconciliation, business rules validation, human-in-the-loop review
Customer onboarding with KYC
Build a multi-step customer onboarding process with identity verification, document generation, manual review routing, and email notifications.You will learn: multi-step forms, REST API integration via workflows, exclusive gateways, document generation, task assignment, timer events, notifications
What makes these different
These tutorials are derived from production apps, not hypothetical examples. Each one:- Uses real workflow structures exported from working FlowX projects
- Shows how to combine multiple AI node types (extraction, understanding, generation) in a single app
- Demonstrates integration patterns (REST APIs, databases, email triggers, chat UI)
- Includes the business logic layer — not just the AI parts
Before you start
These tutorials assume familiarity with FlowX Designer basics — creating processes, workflows, data sources, and UI flows. If you are new to FlowX, start with the FlowX Academy courses first.
- Architecture overview — what you are building and how the pieces fit together
- Data model — the data types and sources you need
- Workflows — step-by-step workflow construction with AI nodes
- Process orchestration — BPMN processes that tie workflows together
- UI — the user-facing interface (chat or task management)
- Testing — how to validate the end-to-end flow