🌐 Property Pricing Agent
Property Pricing Agent helps teams with pipeline, proposals, and customer success.
Problem
- The work still depends on a few people and is hard to repeat.
- Context is scattered across tools, so handoffs drop details.
Solution
- Map the workflow
- Connect the data
- Produce a result
- Review with a person
Live demo
Chat demo · Phase one is a simulation so you can check the interaction and the deliverable. It will not write to your live CRM, WeChat, or store.
Property Pricing Agent Demo
SimulatedTry the inputs and deliverables. Outputs are demo data—no production systems or live publishing.
User
What can Property Pricing Agent help with?
AI
Property Pricing Agent is a simulated demo. It shows how the agent takes a request, uses your systems, and returns something a person can edit.
Workflow
- 01Take the input
- 02Understand the goal
- 03Call tools
- 04Produce a result
Architecture
Input
Business goal, Existing material, Constraints
Agent
Property Pricing Agent
Tools
CRM, Business API
Output
Findings
Implementation: LLM + Tool Calling
Input
- Business goal
- Existing material
- Constraints
Output
- Findings
- Next steps
- A draft a person can edit
Stack
- LLM
- Prompt
- Tool Calling
- CRM
- Lead scoring
API
- CRM
- Business API
GitHub
https://github.com/AleksNeStu/ai-real-estate-assistantEstimate
Reference range ¥15,000 - ¥50,000. This estimate follows the current scope and changes with how deep the integrations go. It is not a market list price.
FAQ
Who is Property Pricing Agent for?
Teams that need help with pipeline, proposals, and customer success.
How long does it take?
A reference timeline is 5-15 days. It changes with how many systems you connect.
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