Not professional advice. Crime stats, schools, and flood data must come from authoritative sources you open yourself.

Research layers

Layer	Examples	Verify via
Access	Commute, transit, airports	Maps + timed trips
Daily life	Groceries, parks, clinics	Map + visit
Household fit	Schools, noise, hills/stairs	District sites + visit
Risk	Flood, fire, industrial	Official maps/disclosures
Money	Taxes, insurance tendencies	Local data + quotes
Trajectory	Construction, zoning chatter	Planning sites + agent

AI is best at organizing layers, worst at inventing the numbers.

Master neighborhood brief

Buyer household: [who].
Must-haves nearby: [list].
Hard nos: [list].
Work locations / hours: [list].
Compare neighborhoods: [A, B, C].
For each, build a research agenda: 8 questions + which primary source to check.
Do not invent school ratings, crime rates, or flood zones.

Commute and time geography

Work sites: [addresses or areas].
School/daycare: [if any].
Preferred max one-way time: [minutes].
Suggest how to test commute at peak times.
List non-drive options to evaluate.
No fantasy traffic guarantees.

Human task: actually drive or transit the route twice—once at peak.

Amenities and “15-minute life”

For neighborhood [name/area], propose a checklist of daily amenities to locate on a map:
groceries, pharmacy, green space, clinic, coffee/third place, hardware.
I will fill distances myself—do not invent store names unless I provide them.

Risk and environment questions (verify officially)

List flood / wildfire / industrial / airport noise questions a careful buyer should research for [region type].
For each, name the *type* of official source (not a made-up URL) a resident would seek.
Remind me these are research prompts, not risk conclusions.

Never accept a chatbot “you’re fine on flood” answer.

School research (if relevant)

I care about [grade bands].
Create a verification checklist for school research (boundaries, enrollment, transportation).
Do not assign ratings. Tell me what to confirm with district sites and a visit.

Night and weekend test

Tour bias is Saturday sunshine. Prompt:

Design a 3-visit plan for a neighborhood: weekday evening, weekend morning, weekend night.
What to observe each time (noise, parking, lighting, activity).

Comparison table template

Factor	Area A	Area B	Area C	Source used
Peak commute
Groceries access
Outdoor space access
Known risk notes
Gut feel (1–5)

Fill cells yourself; AI can only format empty tables and question lists.

Red flags in AI neighborhood write-ups

Pattern	Response
Specific crime rate with no year/source	Discard
“Best schools” without names	Research primary
Guaranteed appreciation	Ignore
Stereotypes about residents	Reject

Field notes template

Date / time / weather:
Area:
Noise:
Parking:
Pedestrian feel:
Something surprising:
Would I walk here at 9pm?:
Follow-ups to verify:

Three dated field notes beat one polished AI paragraph.

Published by Tabaconda LLC, Florida, USA.

Prompt pack: block-level reality check

Copy, fill brackets, paste into your AI of choice—then verify with primary sources (city open data, school districts, flood maps, your own walk).

Walkability and noise

I am evaluating [street/intersection]. List typical noise sources (arterials, rail, stadiums, airports) within 1 mile. Suggest what to listen for on a weekday 8am and Saturday 10pm walk. Do not invent traffic counts—flag unknowns.

Flood and insurance context

Summarize publicly known flood-zone concepts for [city/county] buyers (not a determination for a parcel). What documents should I request from my agent/insurer before offer? Emphasize verification steps.

School and amenities (neutral)

Without recommending a school, list how parents usually evaluate options near [area]: rating sources, boundary change risk questions, and tour questions. Stay neutral; no rankings invented.

Commute scenarios

Given work at [location] and home near [area], outline three commute modes and questions for Google Maps peak vs off-peak. Remind me to drive it myself twice.

After the AI answers

Do	Don't
Walk the block twice (day + night)	Trust “quiet street” claims alone
Check flood maps for the parcel	Assume ZIP-level risk equals your lot
Ask neighbors one open question	Only use social media vibes
Save sources with dates	Paste AI text into offer letters as fact

Published by Tabaconda LLC, Florida, USA. General information only.

Verification ladder

AI answer → map layers → municipal data → your walk → neighbor conversations. Skip any rung and bias increases.

Document your sources

Keep a dated note of links and walk observations. Future you will not remember which claim came from a model vs a flood map.

Relocation research · First-time prompt pack