Week 1 — Building the First Features of SimplrAI

This week was the first real development phase for SimplrAI. Instead of just thinking about the idea, I focused on building the initial features that would form the foundation of the platform. My goal for Week 1 was simple: create a basic system where students can input notes and receive clearer, structured explanations in return.

The first feature I implemented was a note input system. This allows a user to paste raw notes, lecture text, or copied material into the platform. The idea is that students often have messy or unorganized notes, so SimplrAI needs a simple way to accept that raw information as the starting point.

After that, I built the AI explanation generator. This feature takes the input notes and processes them to produce a simplified explanation of the topic. Instead of repeating the notes word-for-word, the system restructures the information into clearer language so that the core concept is easier to understand.

I also added a key concept extraction feature. When notes are submitted, SimplrAI now identifies the most important ideas and outputs them as a short list of core concepts. This helps students quickly see what actually matters in a large block of information.

Another small feature I added was structured output formatting. Instead of returning a large paragraph, the system now organizes responses into sections like simplified explanation, key concepts, and quick summary. This makes the output easier to read and more useful for studying.

By the end of Week 1, SimplrAI can take raw notes, analyze them, and return simplified explanations along with key concepts. It’s still an early prototype, but these features form the basic workflow that the rest of the platform will build on.