How to Build a Production-Ready Onboarding Flow with ProtoPie AI (Step-by-Step Tutorial Breakdown)
POSTED 20th OF Feb, 2026, Posted by Summer Magdaraog
POSTED 20th OF Feb, 2026, Posted by Summer Magdaraog
ProtoPie AI enables designers to build production-ready onboarding flows using AI-assisted interaction generation combined with manual refinement. This tutorial series demonstrates how to create validation logic, scroll snapping, micro-interactions, and seamless scene transitions using a hybrid AI workflow inside ProtoPie.
In this two-part tutorial series, ProtoPie walks through how to build a fully interactive onboarding flow using ProtoPie AI. Rather than replacing manual prototyping, the workflow shows how AI accelerates complex setup while designers retain control over structure, motion, and interaction logic.
The result is a high-fidelity prototype that simulates production-level behavior, including:
If you’re evaluating AI-powered prototyping tools, this tutorial provides a practical example of how AI integrates into real UX workflows.
For a broader overview of the ProtoPie AI Beta release, read our detailed breakdown here.
Tutorial: How to Build an Onboarding Flow with ProtoPie AI
Part 1 focuses on foundational setup, importing design files, generating initial interactions, and configuring conditional navigation.
The process begins by importing design files from Figma into ProtoPie.
Proper layer organization ensures that:
This preparation step is essential before applying AI prompts.
ProtoPie AI is used to generate:
Instead of manually wiring each interaction from scratch, AI accelerates the setup phase. Designers can then adjust timing, easing, and behavior manually.
This demonstrates the hybrid workflow model:
AI handles configuration → Designer refines execution.
The tutorial then builds conditional navigation logic by:
This mirrors real onboarding logic in production applications, where progression depends on user input validation.
After AI-generated setup, animations are manually adjusted to:
This reinforces that ProtoPie AI does not remove creative control; it reduces repetitive setup while preserving manual refinement.
Tutorial: Smart Validation, Scroll Snapping & Seamless Transitions
Part 2 elevates the onboarding flow from functional to production-level fidelity.
The tutorial enhances password validation by:
These behaviors replicate real-world UX patterns found in mobile and web onboarding experiences.
The shake animation reinforces error feedback visually improving realism within the prototype.
The onboarding experience is expanded with:
This demonstrates how ProtoPie AI assists in setting up advanced scrolling behavior while allowing manual tuning of motion and visibility states.
Scroll snapping and pagination syncing are commonly seen in product walkthrough flows and this tutorial shows how to prototype them without writing code.
The final step focuses on cross-scene animation continuity.
The tutorial covers:
This stage emphasizes refinement where designers fine-tune motion for cohesion and realism.
The core principle demonstrated across both tutorials is clear:
ProtoPie AI accelerates complex interaction setup. Designers maintain full control over motion, structure, and logic.
Rather than replacing manual prototyping, AI reduces technical bottlenecks during:
Designers still shape the final experience.
This walkthrough is particularly relevant for:
If you are already exploring ProtoPie AI Beta, this tutorial shows how the AI capabilities function in a real project scenario.
Both parts of the ProtoPie AI tutorial are embedded below:
Part 1: Building the Onboarding Flow
Part 2: Smart Validation & Scroll Snapping
For a deeper understanding of ProtoPie AI’s release and capabilities, read our earlier breakdown here.
To explore ProtoPie and ProtoPie AI further, visit our product page.
ProtoPie AI assists in generating interaction logic, animations, input validation, and scroll behaviors within prototypes. Designers can refine all generated behaviors manually.
The tutorial demonstrates how ProtoPie AI can accelerate the setup of onboarding flows with conditional validation, scroll snapping, and scene transitions. Final refinement is handled manually for precision.
No. The workflow shown combines AI-generated setup with manual control over animation, structure, and interaction logic.