# Cited

A CRM for real estate agencies with a knowledge base: track and close sales more easily, and ask questions about your documents with answers that always cite their source.

- Status: In progress (Jun 2026 – Aug 2026)
- Role: Built the product.
- Built with: Python, FastAPI, React, Gemini, Google Cloud
- Case study: https://shyl.ai/projects/cited
- cited.pl: https://cited.pl

## What I did

- Built the document Q&A engine (RAG) and its citation checks
- Built the backend and chat interface

## Overview

Cited helps real estate agencies keep track of sales and the documents behind them. Its knowledge base answers questions about contracts, permits and other technical documents.

The product is built and waiting for its next step: first clients, partners or investors.

## Engineering decisions

The key rule is that it must not make things up. Every factual statement in an answer carries a quote from a document, and the backend checks in code that the quote really appears in the source. If it does not, the answer says the information is not in the documents.

Part of the public profile of Mikita Shylai: https://shyl.ai/context.md