Building a Smart Packing List Generator with Framer & AI
4 Jun 2025
Aman Ansari
Introduction
Smart Packing List Generator - A Micro-Tool with Macro Impact
In our journey to elevate the travel planning experience for our client, we recently built and integrated a Smart Packing List Generator directly into their prototype website using Framer.
Table Of Content
The Idea: Smart, Tailored Packing in Seconds
Packing for a trip often feels overwhelming. So we asked:
What if a simple dropdown could generate a smart, personalized packing list for Japan based on where you’re going, when you’re going, and how you travel?
That’s where the Packing List Generator was born. Travelers can now select a City, Month, and Travel Style, and get instant, tailored recommendations based on Japan’s weather, local context, and travel intent all via a beautifully responsive Framer component.
Tech Behind: AI + Framer
The real challenge was integrating external logic into Framer until we discovered the Code Block Component from the Framer Library, which supports React, TypeScript, and more. To bring this idea to life:
We used ChatGPT to help write and refine the core logic of the Smart Packing List API.
We embedded the functionality into Framer using the Code Block Component.
We styled and animated the tool to stay true to our minimal, modern design philosophy.
This wasn’t just a visual prototype the component is fully functional and already live on the prototype website. We've also shared it via email with stakeholders for early feedback.
A Simple UI, A Thoughtful UX
The UX goal was clear: Keep it simple. Make it smart.
Just three dropdowns (City, Month, Travel Style)
Instant feedback with context-aware suggestions
A downloadable PDF format for travelers to use on the go
This isn’t just about showing what to pack it’s about reducing cognitive load and saving time with intelligent defaults.
What We Learned
This experiment lays the groundwork for more intelligent micro-tools from Smart FAQs to dynamic content blocks, and more AI-assisted components.
We’re excited to continue exploring how tiny utilities can add major value to digital experiences.
- Aman Ansari
The Idea: Smart, Tailored Packing in Seconds
Packing for a trip often feels overwhelming. So we asked:
What if a simple dropdown could generate a smart, personalized packing list for Japan based on where you’re going, when you’re going, and how you travel?
That’s where the Packing List Generator was born. Travelers can now select a City, Month, and Travel Style, and get instant, tailored recommendations based on Japan’s weather, local context, and travel intent all via a beautifully responsive Framer component.
Tech Behind: AI + Framer
The real challenge was integrating external logic into Framer until we discovered the Code Block Component from the Framer Library, which supports React, TypeScript, and more. To bring this idea to life:
We used ChatGPT to help write and refine the core logic of the Smart Packing List API.
We embedded the functionality into Framer using the Code Block Component.
We styled and animated the tool to stay true to our minimal, modern design philosophy.
This wasn’t just a visual prototype the component is fully functional and already live on the prototype website. We've also shared it via email with stakeholders for early feedback.
A Simple UI, A Thoughtful UX
The UX goal was clear: Keep it simple. Make it smart.
Just three dropdowns (City, Month, Travel Style)
Instant feedback with context-aware suggestions
A downloadable PDF format for travelers to use on the go
This isn’t just about showing what to pack it’s about reducing cognitive load and saving time with intelligent defaults.
What We Learned
This experiment lays the groundwork for more intelligent micro-tools from Smart FAQs to dynamic content blocks, and more AI-assisted components.
We’re excited to continue exploring how tiny utilities can add major value to digital experiences.
- Aman Ansari