Claude to map family land from government records
Zahid Khan wanted to locate land inherited through his family in Mohammadpur, Uttar Pradesh. He had visited the village only a few times and could not readily identify the parcels. Digitized records were spread across government websites and written in dense official Hindi.
linkedin.com
Original prompt
Shared by the source author. See source notes for context.
Read this Khatoni PDF. Extract: (1) the Janapad, Tahsil and Gram name and code,
Reach people exploring AI agents
See placements →What happened
Khan reports twenty-five parcel polygons mapped in Google My Maps, with current legal ownership and surveyed accuracy not independently established.
Reported by Zahid KhanHow the agent did it
- Search the relevant land records by the family name and extract plot identifiers.
- Collect parcel vertices and convert UTM coordinates into mapped polygons.
- Import the KML into Google My Maps to plan a physical inspection.
Where a person stepped in
The source does not describe a final independent ownership or survey check; Khan intended to use the map to inspect the land.
Zahid Khan wanted to locate land inherited through his family in Mohammadpur, Uttar Pradesh. He had visited the village only a few times and could not readily identify the parcels. Digitized records were spread across government websites and written in dense official Hindi.
Claude Cowork searched using his father's name, including entering the Hindi text through an onscreen typewriter. It found records naming his father as an owner or co-shareholder and used the plot numbers to retrieve rough parcel geometries from a government mapping site.
The coordinates created another task. They were in UTM format rather than ordinary latitude and longitude. Khan says the agent suggested a shift-click tool to collect polygon vertices, converted the coordinates and generated a KML file containing twenty-five plot polygons. It then uploaded that file into Google My Maps so he could see the parcels and plan an inspection.
The result is a navigable map assembled from public records, not proof that the current ownership chain or exact surveyed boundaries have been independently validated. The author's linked guide explicitly describes the output as informational and notes possible errors in government data or AI output. The published prompt excerpt comes from that guide, which was accessible through its HTML even though the web viewer failed.
Prompt
Original prompt
Source: www.linkedin.com · Zahid Khan
Frequently asked questions
Why did coordinates need conversion?
The government mapping output used UTM coordinates rather than ordinary latitude and longitude.
Does the map prove current ownership?
No. The account reports mapping records, and the linked guide warns of possible government-data and AI inaccuracies.
Where does the original prompt excerpt come from?
The author's linked primary how-to guide, fetched and read as accessible HTML.
More details
About this account
Cowork navigated Hindi land records, assembled parcel geometry, converted coordinates and uploaded the KML map.
Original LinkedIn account and author's linked primary HTML guide read. Prompt is a verbatim excerpt from the guide's published extraction instruction, not a full execution transcript.
Credit: Zahid Khan
Source published 26 May 2026
Source checked 14 Oct 2026
Tools and topics
Claude Cowork · Government land portals · KML · Google My Maps
Family land records · Coordinate conversion · Google My Maps
Editorial completeness: 100/100. Measures documented fields, not agent performance or verified outcomes.