Beyond Content & Chatbots: Techie Uses AI To Tokenise Own Land In UP
A LinkedIn post that has gone viral demonstrates the growing democratisation of the use of technology for tokenisation of assets. While the use of AI in the hands of the common user is largely for creating content and customer service with chatbots, an Indian technology professional used an AI-powered assistant to locate dozens of ancestral land parcels hidden within India's labyrinthine land records system.
The Indian government is also pushing the use of technology to create tokenised land assets for better record-keeping and transparency in real estate transactions.
Zahid Khan said he used Anthropic's Claude AI “Cowork” feature to identify and map 25 ancestral plots in rural Uttar Pradesh that had remained difficult to trace through conventional methods. In a post on LinkedIn that has gone viral well past the technology ecosystem that he inhabits, Khan described how the AI system navigated multiple government databases, interpreted land records written in dense Hindi legalese, identified plot numbers linked to his family and converted cadastral mapping data into a format that could be visualized on modern mapping platforms. “I used Claude Cowork to find my ancestral share in rural India,” Khan wrote, detailing a process that combined document analysis, geographic information systems and coordinate conversion.
According to the post, the AI searched digitized land records using his father's name, identified relevant “gata” or plot numbers, extracted coordinates from government mapping systems and recognized that the data was stored in Universal Transverse Mercator (UTM) format rather than standard latitude-longitude coordinates. The system then converted the information into KML files that could be imported into Google Maps, allowing the plots to be viewed as mapped polygons.
The example highlights the growing capabilities of so-called AI agents, which are designed not only to answer questions but also to perform complex, multi-step tasks across websites, databases and software tools. The development comes as technology companies race to build AI systems capable of acting as digital assistants that can independently navigate online services and complete real-world tasks.
In India, where land ownership records are often fragmented across state government portals and maintained in multiple formats and languages, tracing inherited property can be a time-consuming and bureaucratic exercise. Industry observers say AI-assisted navigation of public records could eventually help citizens access government services more efficiently.
The case has also sparked discussion online about broader applications of AI in land-title verification, property management and digitization of public records, underscoring how emerging AI tools may increasingly be used to solve practical administrative challenges rather than simply generate text.
Several users and followers of Khan's LinkedIn profile also asked him to help track their own lands in different states. He has since made his process available for others to use along with instructions.