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Documentation Index

Fetch the complete documentation index at: https://docs.flowx.ai/llms.txt

Use this file to discover all available pages before exploring further.

Learn how to build AI-powered apps on FlowX by following end-to-end tutorials based on real implementations.

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Available tutorials

Mortgage advisor chatbot

Build a Chat Driven conversational AI mortgage advisor that collects client data across turns, evaluates eligibility across multiple banks, and generates personalized product recommendations.You will learn: Chat Driven workflows, built-in session memory, intent routing, knowledge base RAG with re-ranking, hybrid AI + business rules, Send as Chat Reply, 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

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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

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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.
Each tutorial is structured as:
  1. Architecture overview — what you are building and how the pieces fit together
  2. Data model — the data types and sources you need
  3. Workflows — step-by-step workflow construction with AI nodes
  4. Process orchestration — BPMN processes that tie workflows together
  5. UI — the user-facing interface (chat or task management)
  6. Testing — how to validate the end-to-end flow

AI patterns

Reusable patterns extracted from these tutorials

Agent Builder

Node types and configuration reference

Node types

Detailed reference for each AI node type

Using agents

Integration options for deploying agents
Last modified on April 24, 2026