AI Agent for the Real-Estate Property Project
Client Overview
Our client operates in the US real estate market, where timely access to accurate property and market insights is critical.
Their goal was to make an AI-powered assistant that could process large volumes of US real estate data, compare listings, provide actionable insights, and deliver them in a simple chat format. To maximize accessibility, the solution needed to be available on both Telegram and the Web.
Challenge
In this project, we had to solve a few important problems to make sure the solution could tolerate high loads, work on multiple platforms, and provide meaningful insights for agents, brokerage agencies, and investors without sacrificing performance.
The main challenges were:
- Developing an AI-powered solution for realtors that could scale to cope with a high volume of users at the same time without lag.
- Automating property matching between listings and buyers’ preferences.
- Enabling people to connect both from Telegram and the Web, and having features adapted to each platform.
- Creating an AI real estate assistant that can utilize real estate data from sources like Zillow.
- Adding single sign-in through Telegram in a way that users can easily log in.
- Simplifying lengthy conversations, so the AI won't lose context without using extra tokens.
Approach
We started by collecting integration details and requirements to fully know what the client required. Next, we defined the system architecture, elaborated a development plan, and created a roadmap.
To ensure that we build in quality from the outset, we also defined test scenarios, measurement parameters, and a pipeline for collecting and aggregating real estate data.
Next, we built the AI assistant for real estate and all supporting tools, then Telegram bot and Web application. To speed things along, we relied extensively on AI coding assistance, which allowed us to release features more rapidly.
Solution Overview
The final deliverable had a comprehensive list of functionalities for users, which were implemented according to the project plan, as well as user interests and expectations:
Key Features
- Cross-Platform Access – Users could interact via Telegram or the Web, with authentication centralized in Telegram.
- Multi-Chat & Long Chat Support – Unlimited conversation history, token-reasonable context summarization, and hierarchical memory.
- Real-Time Market Analysis – Comparison of market trends, mortgage ratios, population statistics, and property values.
- Real Estate Agent Performance Metrics – Monitoring agent KPIs: response speed, lead conversion, and deal success rates.
- Advanced Reporting – Extended reporting formats, markdown export, chart generation, and graphical data comparisons.
- User Engagement Tools – Invite links, whitelisting, and live updates showing which tools the agent was currently using.
- Support & Feedback – Integrated feedback bot, FAQ-based auto-support, and administrative control via Telegram bot.
Used Technologies
The solution was developed with a modern tech stack combining AI models, frameworks, and cloud infrastructure. We used:
- OpenAI’s ChatGPT 4.1 and 4.1 mini for natural language processing
- Python with LangChain and LangGraph for agent orchestration
- LangSmith for evaluation and monitoring
- Redis and PostgreSQL supported fast data processing and storage.
- Google Cloud Platform to deploy the system
- Cursor IDE powered by Claude Sonnet 4 to accelerate development
Result
The final AI software for real estate agents was rich with features. Users could access it from both Telegram and the Web, deeply explore real estate data, and watch market trends through an agent that could manage more than 40 tools.
The most significant improvements for the client included:
- Faster property matching → Less time to find relevant listings by 60%.
- Scalability → System handled 2GB+ of statistical data and supported thousands of concurrent users.
- Agile delivery → Working MVP in just 1 week, with continuous refinements.
- Business value → Positioned as one of the best AI agents for real estate that works fast, is easy to work with, and strong enough to tolerate spikes in traffic with no trouble.