How Weverit Reports Are Made

Last updated: May 2026

Weverit publishes two kinds of content: building reports and news articles. They're produced differently, and we want to be transparent about both.

Building reports

Every report on a NYC residential building is generated automatically from public records. We don't write these — we organize what's already public into one place.

Where the data comes from

All data is sourced from NYC's official Open Data portal at data.cityofnewyork.us:

HPD Housing Maintenance Code Violations — open and resolved violations, classified A (least serious) through C (immediately hazardous)
HPD 311 Service Requests — complaints filed by tenants
NYC Department of Buildings (DOB) — permits, work orders, and violations
NYC PLUTO — property data (year built, units, ownership)
NYC Department of City Planning — zoning and land use
NYPD Crime Statistics — neighborhood-level public safety data

These datasets are updated by NYC agencies on their own schedules. We re-fetch each dataset at intervals matched to how often it changes (typically daily to monthly).

What we add

We don't generate the underlying numbers. They come directly from city records. What we add is:

Aggregation — pulling data from six different APIs into one page so you don't have to query each portal separately
Plain-English summary — a short AI-written paragraph that describes what the data shows, generated from the actual numbers on each report
Health grade — a letter grade (A through F) calculated from weighted violation counts, age, and resolution rates
Source links — every dataset section links back to the originating NYC database

What we don't do

We don't manually edit individual building reports
We don't suppress or downweight findings based on landlord requests
We don't accept payment to remove or modify reports
We don't sell, share, or otherwise transmit your search history

News articles

Some articles on Weverit are written by humans. Some are drafted by AI and edited by a human before publication. Either way, the editorial standards are the same.

How AI-assisted articles are made

Topic identification. A topic is identified — either from patterns in the data we observe, or from current housing news relevant to NYC tenants.
Data extraction. We query NYC public records for the specific numbers, addresses, and patterns the article will discuss.
AI drafting. Anthropic's Claude API generates a first draft based on the extracted data and our editorial style guide. The AI is configured to use only the numbers we provide — it cannot invent statistics or attribute fabricated quotes.
Human editing. A human editor reviews the draft, verifies every number against its source, fixes prose, removes any AI over-confidence, and adds context the AI missed.
Source verification. Every numerical claim is checked against its public record before publication.
Methodology paragraph. Each AI-assisted article ends with a short paragraph describing what data was used and how.

What AI does and doesn't do at Weverit

AI does:

Synthesize public records into readable prose
Suggest article structure and section headings
Draft opening paragraphs and transitions
Format data into tables and lists

AI does not:

Generate numbers (all figures come from public datasets)
Invent buildings, addresses, or owner names
Quote real people unless the quote is from a verified public record
Make legal claims or accusations
Decide what stories get published

Editorial principles

Every numerical claim links to its public source
Methodology is disclosed in every AI-assisted article
We correct errors publicly, not silently — if a published article contains a factual mistake, it's corrected with a visible note
We don't publish articles that we haven't independently verified
We don't publish to please landlords, brokers, advertisers, or any party other than NYC tenants reading the article

Corrections

If you find an error in a building report or a news article, write to apasovav@gmail.com with the URL and the correction. We'll respond within 48 hours.