ThinkShip for Real Estate
Listings, property documents and tenant inquiries come together faster — from single-agent practices to property managers with large portfolios.
- Marketing
- Property Management
- Listing Data
Sample prompts
What a request could look like
Three examples — as inspiration, not a rigid template. Free-form text works just as well.
Listing draft
Sample request
„Draft a listing for the new apartment on Musterstraße based on the stored property data.“
Result: a publish-ready listing text, for the agent to approve.
SystemAIHuman
Tenant inquiry triage
Sample request
„Sort incoming applicant inquiries against our defined criteria and highlight the three best matches.“
Result: a prioritized candidate list as a discussion basis — the final choice stays with the manager.
SystemAIHuman
Utility statement check
Sample request
„Check the property's utility cost statement for anomalies compared to the previous year.“
Result: flagged deviations with a suggested explanation, for the manager's final review.
SystemAIHuman
What would this cost for Real Estate?
Example system pricing, excluding AI usage — bring your own model provider or run local models, and only pay for AI where a real decision is actually needed.