Each profile turns your private local model into a domain research analyst — pre-wired to real open-data APIs, with a system prompt tuned for the job. Download, import, and start asking. Everything runs on your machine.
Grab the .json below. It contains the APIs and the system prompt — never any credentials.
In LexiChat: Admin → Profiles → Import Profile. The APIs wire themselves up.
Select the profile, pick a tool-capable model, and ask. It cites every source.
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A UK Parliament research analyst that cross-references the official APIs — resolve an MP, then pull their questions, committee seats, and register of interests, citing every source. The kind of cross-checking that normally takes an afternoon.
A scholarly-literature scout that maps the citation graph across OpenAlex and Crossref — find a seminal paper, trace what it built on and what cites it, profile authors and institutions, and cross-check citation counts between sources.
Enter a postcode or any place — a ward, borough, town or neighbourhood — and get a sourced picture with a map shown inline. It resolves the area to its ward, council and coordinates, then pulls crime, sold house prices, planning applications and local statistics, citing each figure.
An Ordnance Survey identifier expert. It navigates the relationships between properties (UPRN), streets (USRN) and OS MasterMap features (TOID) through the OS Linked Identifiers API — chain a property to its street, list every property on a street, find a building's polygon — and reaches for OS Names, Features, Maps and routing when a question needs coordinates, geometry or a basemap.
Corporate intelligence, public health, economic data and more. Built one yourself? Export it (secrets are stripped automatically) and send it in.
These profiles run entirely on your own machine through Ollama — no cloud, no API keys, no data leaving your device. Get LexiChat, import a profile, and go.
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