Petriflow 102 - Tutorials Overview

Welcome to Petriflow 102 - a continuation of your journey into s, workflow semantics, and the deeper logic behind Petriflow-based low-code processes.

What you'll learn

Theory Meets Practice

In this module, you’ll go beyond forms and user interfaces and dive into how workflows actually work under the hood - powered by Petri Net theory.

You’ll explore:

1. Petri Nets & Token Semantics - the foundation of
2. Interpretation of Places - understanding model meaning
3. Sequence Variations & Token Multiplicity
4. Types of Arcs - Read Inhibitor, and Reset Arcs

Throughout the process, the user can track the status and see the final answer.

Complete Tutorial Series

1️⃣ Introduction to Petri Nets and Workflow Semantics

Learn the basics of Petri nets - places, transitions, and tokens - and how PetriFlow adds task lifecycle semantics with Assign → Finish → Cancel logic.

2️⃣ Interpretation of Places and Model Semantics

Understand how places can represent abstract states or physical objects, using the bicycle assembly example to illustrate object-centric process logic.

3️⃣ Sequence Variations & Token Multiplicity

See how multiple execution paths and concurrent transitions create flexibility in Petri nets - and how PetriFlow restricts concurrency for workflow consistency.

4️⃣ Types of Arcs: Read, Inhibitor & Reset

Discover advanced Petri net arcs that control conditions and resets - extending workflow logic with read, inhibitor, and reset arcs.

Learning goals

By completing Petriflow 102, you will:

• Understand the mathematical foundation of PetriFlow
• Interpret workflow states using markings and token flow
• Recognize how semantics and interpretation shape real-world processes
• Learn to simulate and analyze concurrency and token multiplicity
• Apply advanced control through special arc types (Read, Inhibitor, Reset)

What's next

After finishing Petriflow 102, you’ll be ready to design complex, data-driven, and role-aware workflows in Builder and eTask.

Continue your learning with Petriflow 201, where we’ll cover:

• Dynamic data dependencies
• Inter-process communication
• Advanced arc behaviors in collaborative scenarios

Stay tuned for more tutorials and updates!