History

Run 3–5 targeted web searches, fetch the most relevant results, and extract the key data points. If a data point cannot be found, say so explicitly — never fabricate data.

Neighborhood Context

Search for information about the immediate surroundings:

• Adjacent land uses: What's north, south, east, west of the site
• Neighborhood character: Architectural style, building ages, density pattern, streetscape
• Historic districts: Landmark designations, historic district boundaries, contributing building status
• Neighborhood history: How the area developed, key periods of construction, demographic shifts
• Landmarks: Notable buildings, parks, institutions within ~1 km
• Commercial activity: Retail corridors, restaurants, services, nightlife nearby
• Planned development: Major projects approved or under construction in the area
• Community: Neighborhood associations, community boards, local governance
• Safety: General crime context if publicly available

Output Format

Write the analysis to a markdown file at ./history-[location-slug].md.

# Neighborhood History — [Full Address or Location Name]

> **Date:** [YYYY-MM-DD] | **Coordinates:** [lat, lon]

## Key Facts

| Metric | Value |
|--------|-------|
| Neighborhood | [name] |
| Historic district | [name or None] |
| Predominant era | [decade/period] |
| Architectural style | [style] |

---

## Neighborhood History

### Development History
[How the area was built out — key periods, original character, major changes]

### Historic Preservation
[Historic district status, landmark designations, LPC/preservation context]

## Adjacent Land Uses

| Direction | Land Use |
|-----------|----------|
| North | ... |
| South | ... |
| East | ... |
| West | ... |

## Architectural Character

### Building Stock
[Predominant styles, materials, heights, ages]

### Streetscape
[Street trees, setbacks, lot widths, density pattern]

## Landmarks & Institutions

[Notable buildings, parks, cultural institutions within ~1 km — with distance]

## Commercial Activity

[Retail corridors, restaurant streets, market character]

## Planned Development

[Major projects approved, under construction, or proposed nearby]

---

## Sources

- [Numbered list of URLs and sources consulted]

## Gaps & Caveats

- [List anything that could not be verified or found]
- [Note where historic district boundary needs LPC confirmation]
- [Flag where a site visit would add context]

Preferred Sources

Only use governmental, university, museum, or non-profit data sources. Never cite commercial websites (e.g., Brownstoner, CityRealty, StreetEasy, real estate blogs).

International

Guidelines

• Be factual. Every claim should come from a search result. If you cannot find data, say "Not found in public sources" rather than guessing.
• Cite sources. Include URLs in the Sources section for every page you pulled data from.
• Only use governmental, university, museum, or non-profit sources. Do not cite commercial real estate sites, neighborhood blogs, or ad-supported aggregators.
• Be concise. Use tables for quantitative data, bullet points for lists, short paragraphs for narrative. No filler.
• Be specific about distance. State distances to landmarks, transit, and commercial corridors in miles/km.
• Name architectural styles. Use correct terminology (Italianate, Neo-Grec, Federal, Art Deco, etc.) when describing building stock.
• Use local units. Imperial for US sites, metric for international sites. Include conversions in parentheses when useful.
• Ask once, then work. After confirming the location, do all the research without interrupting the user. Present the finished brief.