How does ScopeWise work?

The Engine Behind ScopeWise: RAG (Retrieval-Augmented Generation)

At the heart of ScopeWise is a technology called RAG, which stands for Retrieval-Augmented Generation. But wait, what is RAG exactly? While most people are familiar with fine-tuning (where you retrain a language model on your own data), RAG takes a different approach. Instead of modifying the model itself, RAG works by injecting relevant data into the model’s context at query time — making it smarter without needing to retrain anything. RAG is faster to implement than fine-tuning, more flexible, and often just as effective — especially when your knowledge base evolves frequently.

The use of RAG in Scopewise means that the algorithm retrieves similar past projects you shared from its database and uses them to enrich the estimation for your own project. OK but what does it mean? For each new project generated, we use the cosine similarity to calculate the similarity of projects in order to share with the AI model the projects estimated in the past that are close to the project to be estimated.

How it works step by step

1. You fill out a simple form describing your web project: team size, experience, tech stack, features, testing, deployment, and more

2. ScopeWise creates a project context from your answers in structured JSON format

3. This context is converted into a vector turning your project into something that can be mathematically compared to others.

4. ScopeWise searches its internal database for the most similar projects using cosine similarity between vectors. For each similar project, it retrieves the previously generated estimation and checks user feedback (likes or dislikes) to evaluate its reliability.

5. It then builds an enriched prompt that includes: Your project’s context Similar project examples + their estimations How well each estimation was received by users

6. Then a fresh estimation is generated based on this augmented data structured, detailed, export-ready which you can update yourself

An AI that learns with you

What makes ScopeWise unique is not just the use of AI — it’s that the system learns and improves over time based on your feedback. Indeed, you can vote and share your feedback for each estimate you get. The AI then also uses your feedback for projects similar to the project to be estimated to make its estimate. So yes, your feedback is important and even more so! AI is an important tool that can be used to do an enormous amount, but we believe that combining AI with user feedback is the best way of providing accurate estimates.