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ALPS · Development Intelligence

complexity → context → decision

In ChatGPT, right where you work,review a development.

ALPS EXAMPLE · AUTO TYPING

Check if a data center works on a sample parcel. Budget KRW 12B, equity KRW 4B.

01 / PRODUCT

Ask in plain words. Get a real review back.

Same question, professional answer - this is what comes back inside a ChatGPT conversation.

Run a scale study for a data centre at a sample parcel.

ALPS · Site regulation review

Feasibility: Reviewable
Scale: 8,400–9,100㎡
Needs review: 2 items

Budget: KRW 12.0B
Equity: KRW 4.0B

Use restrictionCompliant
Coverage · Floor area ratioCompliant
Parking countNeeds review
Building committee reviewNeeds review

Conceptual scenario — not an actual review result

Continue in ChatGPT

02 / INTELLIGENCE

Not looked up separately.

Site · Regulation · Scale · Finance · Risk · Schedule - ALPS does not look these up separately.

SiteA narrow access road → Entry and parking revisited · Feasible scale ↓
RegulationFloor area ratio +20% → Gross area ↑ · Build cost ↑ · Equity needed ↑
ScaleStricter parking rule → Basement levels ↑ · Build cost ↑ · Feasibility ↓
FinanceLoan rate +1%p → Finance cost ↑ · Equity needed ↑
Risk2 items to confirm → Judgement held - never auto-approved
ScheduleA delayed committee review → Groundbreaking slips · Finance cost ↑

03 / EVIDENCE

We never invent a value we do not have.

The grounds stay open; only the methodology is folded away.

Statute textActs and enforcement decrees as published by the national law portal.
Local rulesMunicipal ordinances and the zone rules that actually apply to the parcel.
No guessingWith no basis we do not assume compliance - it stays flagged for review.

What does ALPS base its judgement on?

Method	Source
Address → parcel → rules → verdict	MOLEG statute service
Cannot confirm → needs confirming	VWorld · KLIS
Linked back to the cited article	MOLIT spatial data

How far does coverage go?

Permitted uses

153 / 228

67%

153 / 228

Coverage & FAR

152 / 228

67%

152 / 228

Parking

161 / 228

71%

161 / 228

Design review

131 / 228

57%

131 / 228

Each axis comes from a different ordinance, so they are counted separately. Areas not yet loaded stay marked as needing confirmation.

What does "needs review" mean?

When a condition is uncertain, ALPS leaves it as needs review instead of deciding for you. It marks where sources disagree or local discretion applies — not that the calculation failed.

How current is the data?

Ordinances are re-read and reflected on each amendment. Most recent ordinance amendment reflected: 2026-06-02.

You do not need another app.Type an address and conditions in the AI you already use.

Start in ChatGPT