I am Robin Jehanno. I am working on something new after building projects across e-commerce, SEO, Shopify, automation and internal AI tools.
I do not like defining myself too much by titles. I prefer showing what I have built.
Most production code is private because it contains API integrations, business logic and internal workflows. This repository documents what I built, why I built it, how it works and what can be demoed.
A desktop AI assistant that helps me write, dictate, rewrite and translate much faster in daily business exchanges, especially emails, supplier messages and long prompts.
I was spending too much time writing, translating and reformulating messages across different tools.
This was especially painful for:
- Long prompts.
- Supplier messages.
- Emails.
- French to English or Chinese translation.
- Turning spoken ideas into clean written output.
I wanted a faster workflow where I could speak once and instantly get the right written output in the right format.
The goal was not to build a public product. The goal was to remove friction from my own daily work and make written communication much faster.
- Dictation from a desktop shortcut.
- Rewriting spoken French into clean written output.
- Translation into English and Chinese.
- Custom output modes for emails, supplier messages and prompts.
- Clipboard-based workflow to use the output anywhere.
Used daily.
A chatbot that lets me query expert knowledge from YouTube on specific topics such as SEO, email marketing, business strategy and technical execution.
It uses a database of more than 10,000 indexed videos from more than 100 selected YouTube channels.
For fast-moving fields like SEO, email marketing, acquisition or business strategy, the best answer is often not a single universal answer.
Different experts have different methods, frameworks and beliefs. In many cases, what matters is not just getting a generic AI answer, but understanding how a specific trusted expert would think about the problem.
These are also the kinds of topics where people still pay for coaching, consulting or courses, even in the AI era, because they want judgment, method and experience.
I built it to create an internal expert layer that I could query when I face a precise business, marketing or technical problem.
Instead of manually searching through YouTube videos, courses, newsletters or notes, I wanted to ask a question and get an answer grounded in the content of selected experts I trust.
The goal was to reduce the time between having a problem, finding the right expert perspective and taking action.
- Collects content from selected YouTube channels.
- Transcribes videos through an external transcription service.
- Sends the content into a vector store.
- Lets me ask precise questions based on selected experts.
- Helps compare different expert methods on business, SEO, marketing and technical topics.
Used internally.
A custom Shopify theme built for Solstice Bijoux.
Standard Shopify themes were not adapted to what I needed.
I needed a theme that was:
- Fast.
- SEO-friendly.
- Structured for product discovery.
- Clean enough for search engines and AI crawlers.
- Compatible with a visual ear configurator.
- Adapted to the way customers buy ear jewelry.
Most existing themes were too generic, too heavy or not flexible enough for this use case.
I built a custom Shopify theme to control the structure, speed, SEO, UX and product experience from the ground up.
The goal was to create a theme adapted to:
- Conversion.
- SEO.
- Schema markup.
- Internal linking.
- Product data structure.
- Image-heavy e-commerce pages.
- The ear configurator experience.
- Custom Shopify theme based on Liquid and JavaScript.
- Clean HTML structure.
- SEO-oriented page structure.
- Schema markup.
- Optimized image loading.
- Product data structured for better discoverability.
- Compatibility with the custom ear configurator.
New Shopify version in preparation.
A visual ear jewelry configurator built for Solstice Bijoux.
Customers do not buy ear jewelry like they buy a single standard product.
They often need to visualize several pieces together before buying:
- Which jewelry goes where.
- Which pieces look good together.
- Which color or size works best.
- Whether the final composition feels balanced.
A normal product page does not solve this well.
I built the configurator to make the buying experience closer to how customers actually think about ear jewelry.
The goal was to:
- Improve customer experience.
- Increase buying confidence.
- Increase average order value.
- Improve conversion.
- Capture leads when users save their composition.
- Make the product discovery experience more interactive.
- Lets users build their own ear jewelry composition.
- Supports multiple placements on the ear.
- Handles jewelry variants, sizes and compatibility.
- Lets users save a composition and leave their email.
- Helps customers visualize several products together before buying.
New Shopify version in preparation.
Backend workflows to manage complex Shopify inventory, bundles and custom product compositions that Shopify does not handle well natively.
A custom ear composition can contain several individual jewelry pieces, but the customer needs to see one clean composition in the cart.
At the same time, the business still needs to manage inventory correctly at the component level.
Shopify does not natively handle this kind of custom composition and bundle stock logic well enough for this use case.
I built backend workflows to make the configurator usable in a real e-commerce context.
The goal was to connect the front-end composition experience with the operational reality behind it:
- Cart logic.
- Product composition.
- Component-level inventory.
- Bundle logic.
- Fulfillment clarity.
- Manages custom compositions.
- Handles bundle logic.
- Helps keep inventory usable.
- Creates cleaner cart workflows for customers.
- Makes the operational side easier to manage.
Built for internal use.
I am now exploring new AI product ideas, especially around acquisition, workflow automation and business operations.