Example prompts

These are questions you can ask an AI assistant connected to Ploti, each tested against real counties. The assistant reads the official county and city records Ploti holds and answers with the source. Name the place and the result you want, such as a count, a shortlist or a map. Many questions need no map: the assistant reads the rows and answers. Ask for a map when you want to see the result or keep it in Ploti. Your assistant can ask follow-up questions when a request is ambiguous.

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Answer from the data

Use Ploti to count the building permits issued in Orange County, Florida in each of the last three years, by permit type. Name the dataset you used and its source.

You get: a short table of counts, with the dataset and its source named. No map is made.

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Find industrial sites

Use Ploti to find vacant parcels between 10 and 40 acres near I-4 in Polk County, Florida. Compare acreage, ownership, assessed value, and distance to the interstate. Save the best candidates and show them on a map.

You get: a saved set of candidate parcels, a map and a comparison table. Check how the assistant measured distance: straight-line distance to the interstate does not mean road access.

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Research an owner’s portfolio

Use Ploti to find parcels owned by the same entities as 123 Example Street in Winter Garden, Florida. Summarize the portfolio by acreage and municipality, then create a downloadable CSV.

You get: the matching ownership records, a summary, and a lasting link to the file. The assistant should say so when owner names are ambiguous.

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Check an ordinance

Use Ploti to research the parking and setback requirements for self-storage facilities in Tampa, Florida. Quote only short relevant excerpts, cite the municipal sources, and flag anything that needs confirmation with planning staff.

You get: an answer that cites the sections that apply and says what to confirm.

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Screen environmental constraints

Use Ploti to compare flood and wetland exposure for the parcels in this list: [parcel IDs]. Put the result in a table, identify the source datasets, and do not treat missing coverage as a negative finding.

You get: a table that tells a clear result apart from missing data.

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Look for assemblage opportunities

Use Ploti to identify groups of adjacent parcels in Orange County, Florida that total at least 20 acres. Exclude government-owned parcels, summarize the ownership pattern, and save each promising assemblage as a snapshot.

You get: the groups of parcels, the filters used, and one or more saved maps. A snapshot is a saved set of records on a Ploti map.

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Create a client-ready deliverable

Use Ploti to compare the candidate sites we found in this conversation. Create a concise table with acreage, owner, zoning, flood exposure, and assessed value. Save the table and provide a link I can open in Ploti.

You get: a short preview in the chat and a saved table in Ploti.

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Pick up the same map later

Use Ploti to open the map we made yesterday for the Polk County industrial search and add a layer of FEMA flood zones to it.

You get: the same map with the new layer, and a link to it. Maps stay in your workspace, so the assistant can find yesterday’s map from a new conversation. If the map’s analysis tables were cleared after a break, it loads them again.

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What Ploti won’t do

Ploti refuses or narrows requests that are unlawful, invasive, or outside its intended use. Examples are choosing people for housing, lending, insurance or employment decisions, finding targets for harassment or surveillance, getting around access controls, and presenting incomplete property data as guaranteed fact. Ask instead for objective site characteristics, documented land-use requirements, or aggregated market analysis.