LESS SEARCH. EASIER PARKING.
In developmentAI travel and local guides
Parking Guide
Understand the parking options around you.
A service that connects public parking and tourism data, with optional AI-assisted drafts for local parking guides.
HOW IT COMES TOGETHER
The core workflow- 01
Parking and destinations
- 02
Nearby comparisons
- 03
Templates or AI drafts
- 04
Review and publication
01 / THE QUESTION
The problem we set out to solve.
Finding parking near a destination means comparing locations, prices, and opening hours across sources. Creating local guides also repeats the same data checks and writing tasks.
02 / OUR APPROACH
Our approach.
We organize parking and destination data to compare distance, costs, and hours. Templates are the default publishing method, with optional LLM drafts prepared for review.
- 01
Public data integration
Parking records and tourism destinations are organized for discovery.
- 02
Nearby parking comparisons
Distance, location, rates, and hours are considered together when planning a visit.
- 03
Optional AI drafts
When enabled, the LLM creates reviewable guide drafts from source material.
- 04
Publishing choices
Templates, AI drafts, review, and publication are separate stages that support different editorial workflows.
03 / INTELLIGENCE AT WORK
Where AI does the work.
AI is an optional writing assistant. The default workflow uses templates, while LLM output is treated as a draft that needs review.
04 / WHERE WE ARE
Where the project stands.
The parking guide and publishing tools are under development. Templates and optional AI drafts support reviewed local content. Real-time parking availability is outside the current scope.