From Idea to Validated Product in 5 Weeks.
In a world where professionals and content creators with a strong online presence receive hundreds of emails and messages daily, identifying the truly important ones becomes a critical challenge. Our client needed a solution that could automatically analyze email content and flag those requiring immediate attention.
The solution had to integrate with Gmail and X (Twitter), respect data privacy according to GDPR rules, and provide accurate results in real-time. Additionally, it had to be scalable to potentially handle thousands of simultaneous users.
We designed an advanced artificial intelligence system using natural language processing algorithms to understand the context and urgency of each message. The system analyzes every message received by the user and classifies it with a score from 0 to 10 based on its content, priority, and context.
A client had replied asking for an urgent backlink check, but the email ended up in the "Promotions" tab. Filterly flagged it immediately. That email led us to a $2,000 upsell.
— Krissman Gupta, Founder & CEO of GetMoreBacklinks.org
(review from a Filterly customer)
The web app was developed with a modern, scalable architecture using Next.js for the frontend and Node.js for the backend. Integration with Gmail and X (Twitter) was implemented securely, ensuring maximum protection of sensitive data as required by GDPR regulations and also by the platforms themselves. Google in particular requires applications accessing their users' emails to pass a security audit, which we successfully completed.
The scoring system with a 0-10 rating notifies users only when necessary, reducing distractions and allowing greater focus on priority activities. The user interface was designed to be intuitive and easy to use, minimizing the learning curve and maximizing productivity, all while respecting the 5-week development timeline.
To ensure the best performance and scalability, we built a modern architecture using cutting-edge technologies selected for reliability and maintainability. The infrastructure was designed with auto-scaling to handle traffic spikes and ensure consistent availability.
The artificial intelligence system was developed using advanced machine learning and natural language processing algorithms to ensure maximum accuracy in message analysis. The entire system was designed with special attention to data security and compliance with international regulations.
Just 24 hours after launch, results exceeded all expectations. Users saw significant improvement in email management and overall productivity, and our client successfully validated their business model in record time.
User feedback was positive. Many highlighted how the solution has become indispensable in their daily work routine.
This project demonstrates how artificial intelligence, when applied correctly, can both drastically cut development time allowing business model validation in record time, and increase user productivity. The key to success was attention to specific user needs and a solid, scalable technical implementation.
If you also want to develop a product based on artificial intelligence, contact us for a personalized consultation. We'd be happy to discuss how we can help you.
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